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Part III - Behavior Change Interventions: Practical Guides to Behavior Change

Published online by Cambridge University Press:  04 July 2020

Martin S. Hagger
Affiliation:
University of California, Merced
Linda D. Cameron
Affiliation:
University of California, Merced
Kyra Hamilton
Affiliation:
Griffith University
Nelli Hankonen
Affiliation:
University of Helsinki
Taru Lintunen
Affiliation:
University of Jyväskylä
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Publisher: Cambridge University Press
Print publication year: 2020

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References

References

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179211. https://doi.org/10.1016/0749-5978(91)90020-TGoogle Scholar
Ajzen, I. (2011). Behavioral interventions: Design and evaluation guided by the theory of planned behavior. In Mark, M. M., Donaldson, S. I., & Campbell, B. C. (Eds.), Social Psychology for Program and Policy Evaluation. New York: Guilford Press.Google Scholar
Ajzen, I. (2019a). Constructing a Theory of Planned Behavior Questionnaire. https://people.umass.edu/~aizen/pdf/tpb.measurement.pdfGoogle Scholar
Ajzen, I. (2019b). Behavioral Interventions Based on the Theory of Planned Behavior. https://people.umass.edu/~aizen/pdf/tpb.intervention.pdfGoogle Scholar
Ajzen, I., & Fishbein, M. (1980). Understanding Attitudes and Predicting Social Behavior. Upper Saddle River, NJ: Prentice Hall.Google Scholar
Albarracín, D. (2002). Cognition in persuasion: An analysis of information processing in response to persuasive communications. Advances in Experimental Social Psychology, 34, 61130. https://doi.org/10.1016/S0065-2601(02)80004-1Google Scholar
Barrett, L. F. (2017). How Emotions Are Made: The Secret Life of the Brain. New York: Houghton Mifflin Harcourt.Google Scholar
Braun, V., & Clarke, V. (2013). Successful Qualitative Research: A Practical Guide for Beginners. London: SAGE.Google Scholar
Breckler, S. J. (1984). Empirical validation of affect, behavior, and cognition as distinct components of attitude. Journal of Personality and Social Psychology, 47, 11911205. https://doi.org/10.1037/0022-3514.47.6.1191Google Scholar
Buttlar, B., & Walther, E. (2018). Measuring the meat paradox: How ambivalence towards meat influences moral disengagement. Appetite, 128, 152158. https://doi.org/10.1016/j.appet.2018.06.011Google Scholar
Cacioppo, J. T., & Berntson, G. G. (1994). Relationship between attitudes and evaluative space: A critical review, with emphasis on the separability of positive and negative substrates. Psychological Bulletin, 115, 401423. https://doi.org/10.1037/0033-2909.115.3.401Google Scholar
Chaiken, S. (1980). Heuristic versus systematic information processing and the use of source versus message cues in persuasion. Journal of Personality and Social Psychology, 39, 752766. https://doi.org/10.1037/0022-3514.39.5.752CrossRefGoogle Scholar
Chan, D. K. C., Hardcastle, S., Dimmock, J. A. et al. (2015). Modal salient belief and social cognitive variables of anti-doping behaviors in sport: Examining an extended model of the theory of planned behavior. Psychology of Sport and Exercise, 16, 164174. https://doi.org/10.1016/j.psychsport.2014.03.002Google Scholar
Chatzisarantis, N. L. D., & Hagger, M. S. (2005). Effects of a brief intervention based on the theory of planned behavior on leisure time physical activity participation. Journal of Sport and Exercise Psychology, 27, 470487. https://doi.org/10.1123/jsep.27.4.470CrossRefGoogle Scholar
Chatzisarantis, N. L. D., Hagger, M. S., & Wang, C. K. J. (2008). An experimental test of cognitive dissonance theory in the domain of physical exercise. Journal of Applied Sport Psychology, 20, 97115. https://doi.org/10.1080/10413200701601482CrossRefGoogle Scholar
Clore, G. L., & Schnall, S. (2019). The influence of affect on attitude. In Albarracín, D. & Johnson, B. T. (Eds.), The Handbook of Attitudes, Vol. 1 (2nd ed., pp. 259290). New York: Routledge.Google Scholar
Cone, J., & Ferguson, M. J. (2015). He did what? The role of diagnosticity in revising implicit evaluations. Journal of Personality and Social Psychology, 108, 3757. https://doi.org/10.1037/pspa0000014Google Scholar
Corlett, P. R., & Marrouch, N. (2019). Social cognitive neuroscience of attitudes and beliefs. In Albarracín, D. & Johnson, B. T. (Eds.), The Handbook of Attitudes, Vol. 1 (2nd ed., pp. 480519). New York: Routledge.Google Scholar
Cowie, E., & Hamilton, K. (2014). Key beliefs related to decisions for physical activity engagement among first-in-family students transitioning to university. Journal of Community Health, 39, 719726. https://doi.org/10.1007/s10900-013-9817-3Google Scholar
Croyle, R. T., & Cooper, J. (1983). Dissonance arousal: Physiological evidence. Journal of Personality and Social Psychology, 45, 782791. https://doi.org/10.1037/0022-3514.45.4.782Google Scholar
de Leeuw, A., Valois, P., Ajzen, I., & Schmidt, P. (2015). Using the theory of planned behavior to identify key beliefs underlying pro-environmental behavior in high-school students: Implications for educational interventions. Journal of Environmental Psychology, 42, 128138. https://doi.org/10.1016/j.jenvp.2015.03.005Google Scholar
Dovidio, J. F., & Gaertner, S. L. (2000). Aversive racism and selection decisions: 1989 and 1999. Psychological Science, 11, 315319. https://doi.org/10.1111/1467-9280.00262Google Scholar
Eagly, A. H., & Chaiken, S. (1993). The Psychology of Attitudes. New York: Harcourt Brace Jovanovich.Google Scholar
Elliot, A. J., & Devine, P. G. (1994). On the motivational nature of cognitive dissonance: Dissonance as psychological discomfort. Journal of Personality and Social Psychology, 67, 382394. https://doi.org/10.1037/0022-3514.67.3.382CrossRefGoogle Scholar
Fabrigar, L. R., MacDonald, T. K., & Wegener, D. T. (2019). The origins and structure of attitudes. In Albarracín, D. & Johnson, B. T. (Eds.), The Handbook of Attitudes, Vol. 1 (2nd ed., pp. 109157). New York: Routledge.Google Scholar
Festinger, L. (1962). A Theory of Cognitive Dissonance. Stanford: Stanford University Press.Google Scholar
Festinger, L. (1964). Conflict, Decision, and Dissonance. Stanford: Stanford University Press.Google Scholar
Fishbein, M., & Cappella, J. N. (2006). The role of theory in developing effective health communications. Journal of Communication, 56, S1S17. https://doi.org/10.1111/j.1460-2466.2006.00280.xGoogle Scholar
Freijy, T., & Kothe, E. J. (2013). Dissonance‐based interventions for health behaviour change: A systematic review. British Journal of Health Psychology, 18, 310337. https://doi.org/10.1111/bjhp.12035Google Scholar
French, D. P., & Cooke, R. (2012). Using the theory of planned behaviour to understand binge drinking: The importance of beliefs for developing interventions. British Journal of Health Psychology, 17, 117. https://doi.org/10.1111/j.2044-8287.2010.02010.x.Google Scholar
Gawronski, B. (2019). Six lessons for a cogent science of implicit bias and its criticism. Perspectives on Psychological Science, 14, 574595. https://doi.org/10.1177/1745691619826015Google Scholar
Gawronski, B., & Brannon, S. M. (2019). Attitudes and the implicit-explicit dualism. In Albarracín, D. & Johnson, B. T. (Eds.), The Handbook of Attitudes, Vol. 1 (2nd ed., pp. 158196). New York: Routledge.Google Scholar
Glasman, L. R., & Albarracín, D. (2006). Forming attitudes that predict future behavior: A meta-analysis of the attitude-behavior relation. Psychological Bulletin, 132, 778822. https://doi.org/10.1037/0033-2909.132.5.778Google Scholar
Greenwald, A. G., McGhee, D. E., & Schwartz, J. L. (1998). Measuring individual differences in implicit cognition: The implicit association test. Journal of Personality and Social Psychology, 74, 14641480. https://doi.org/10.1037/0022-3514.74.6.1464CrossRefGoogle ScholarPubMed
Greenwald, A. G., Poehlman, T. A., Uhlmann, E. L., & Banaji, M. R. (2009). Understanding and using the Implicit Association Test: III. Meta-analysis of predictive validity. Journal of Personality and Social Psychology, 97, 1741. https://doi.org/10.1037/a0015575Google Scholar
Hagger, M. S. (2019). The role of attitudes in physical activity. In Albarracín, D. & Johnson, B. T. (Eds.), The Handbook of Attitudes, Vol. 2 (2nd ed., pp. 92120). New York: Routledge.Google Scholar
Hamilton, K., Kirkpatrick, A., Rebar, A., & Hagger, M. S. (2017). Child sun safety: Application of an integrated behavior change model. Health Psychology, 36, 916926. https://doi.org/10.1037/hea0000533.Google Scholar
Hamilton, K., Peden, A., Keech, J. J., & Hagger, M. S. (2018). Changing people’s attitudes and beliefs toward driving through floodwaters: Evaluation of a video infographic. Transportation Research Part F: Traffic Psychology and Behaviour, 53, 5060. https://doi.org/10.1016/j.trf.2017.12.012.Google Scholar
Hamilton, K., Peden, A. E., Pearson, M., & Hagger, M. S. (2016). Stop there’s water on the road! Identifying key beliefs guiding people’s willingness to drive through flooded waterways. Safety Science, 86, 308314. https://doi.org/10.1016/j.ssci.2016.07.004Google Scholar
Hamilton, K., Price, S., Keech, J., Peden, A., & Hagger, M. S. (2018). Drivers’ experiences during floods: Investigating the psychological influences underpinning decisions to avoid driving through floodwater. International Journal of Disaster Risk Reduction, 28, 507518. https://doi.org/10.1016/j.ijdrr.2017.12.013Google Scholar
Hamilton, K., White, K. M., Young, R., Hawkes, A., Starfelt, L. C., & Leske, S. (2012). Identifying critical sun-protective beliefs among Australian adults. Health Education Research, 27, 834843. https://doi.org/10.1093/her/cys093Google Scholar
Harmon-Jones, E., Armstrong, J., & Olson, J. M. (2019). The influence of behavior on attitudes. In Albarracín, D. & Johnson, B. T. (Eds.), The handbook of Attitudes, Vol. 1 (2nd ed., pp. 404449). New York: Routledge.Google Scholar
Harmon-Jones, E., Brehm, J. W., Greenberg, J., Simon, L., & Nelson, D. E. (1996). Evidence that the production of aversive consequences is not necessary to create cognitive dissonance. Journal of Personality and Social Psychology, 70, 516. https://doi.org/10.1037/0022-3514.70.1.5Google Scholar
Heider, F. (1958). The Psychology of Interpersonal Relations. New York: John Wiley & Sons.CrossRefGoogle Scholar
Howe, L. C., & Krosnick, J. A. (2017). Attitude strength. Annual Review of Psychology, 68, 327351. https://doi.org/10.1146/annurev-psych-122414-033600Google Scholar
Johnson, B. T., & Eagly, A. H. (1989). Effects of involvement on persuasion: A meta-analysis. Psychological Bulletin, 106, 290314. https://doi.org/10.1037/0033-2909.106.2.290Google Scholar
Johnson, B. T., Landrum, A., & McCloskey, K. (2019). Attitude scholarship in the 21st century: Accomplishments, challenges, and gaps. In Albarracín, D. & Johnson, B. T. (Eds.), The Handbook of Attitudes, Vol. 1 (2nd ed., pp. 625649). New York: Routledge.Google Scholar
Johnson, B. T., Smith-McLallen, A., Killeya, L.A., & Levin, K. D. (2004). Truth or consequences: Overcoming resistance to persuasion with positive thinking. In Knowles, E. S. & Linn, J. (Eds.), Resistance and Persuasion (pp. 215233). Mahwah, NJ: Lawrence Erlbaum Associates.Google Scholar
Johnson, B. T., Wolf, L., Maio, G., & Smith-McLallen, A. (2019). Communication-induced persuasion or resistance: Processes and effects of who says what to whom. In Johnson, B. T. & Albarracín, D. (Eds.), The Handbook of Attitudes, Vol. 1 (2nd ed., pp. 557601). New York: Routledge.Google Scholar
Jonas, K., Broemer, P., & Diehl, M. (2000). Attitudinal ambivalence. European Review of Social Psychology, 11, 3574. https://doi.org/10.1080/14792779943000125Google Scholar
Kraus, S. J. (1995). Attitudes and the prediction of behavior: A meta-analysis of the empirical literature. Personality and Social Psychology Bulletin, 21, 5875. https://doi.org/10.1177/0146167295211007Google Scholar
Kruglanski, A., & Thompson, E. (1999). Persuasion by a single route: A view from the unimodel. Psychological Inquiry, 10, 83109. https://doi.org/10.1207/S15327965PL100201Google Scholar
Lai, C. K., Marini, M., Lehr, S. A. et al. (2014). A comparative investigation of 17 interventions to reduce implicit racial preferences. Journal of Experimental Psychology: General, 143, 17651785. https://doi.org/10.1037/a0036260Google Scholar
Lee, J., & Thorson, E. (2008). The impact of celebrity-product incongruence on the effectiveness of the product endorsement. Journal of Advertising Research, 48, 433449. https://doi.org/449.10.2501/S0021849CrossRefGoogle Scholar
Mann, T., & Ferguson, M. J. (2017). Reversing implicit first impressions through reinterpretation after a two-day delay. Journal of Experimental Social Psychology, 68, 122127. https://doi.org/10.1016/j.jesp.2016.06.004Google Scholar
McGuire, W. J. (1986). The vicissitudes of attitudes and similar representational constructs in twentieth century psychology. European Journal of Social Psychology, 16, 89130. https://doi.org/10.1002/ejsp.2420160202Google Scholar
Michie, S., Richardson, M., Johnston, M. et al. (2013). The Behavior Change Technique Taxonomy (v1) of 93 hierarchically clustered techniques: Building an international consensus for the reporting of behavior change interventions. Annals of Behavioral Medicine, 46, 8195. https://doi.org/10.1007/s12160-013-9486-6Google Scholar
Montoya, R. M., Horton, R. S., Vevea, J. L., Citkowicz, M., & Lauber, E. A. (2017). A re-examination of the mere exposure effect: The influence of repeated exposure on recognition, familiarity, and liking. Psychological Bulletin, 143, 459498. https://doi.org/10.1037/bul0000085Google Scholar
Nisbett, R. E., & Wilson, T. D. (1977). Telling more than we can know: Verbal reports on mental processes. Psychological Review, 84, 231259. https://doi.org/10.1037//0033-295x.84.3.231Google Scholar
O’Keefe, D. J. (2013). The elaboration likelihood model. In Dillard, J. P. & Shen, L. (Eds.), The SAGE Handbook of Persuasion: Developments in Theory and Practice (pp. 137149). London: SAGE. https://doi.org/10.1002/9781405186407.wbieceOl 1.pub2Google Scholar
Oswald, F. L., Mitchell, G., Blanton, H., Jaccard, J., & Tetlock, P. E. (2013). Predicting ethnic and racial discrimination: A meta-analysis of IAT criterion studies. Journal of Personality and Social Psychology, 105, 171192. https://doi.org/10.1037/a0032734Google Scholar
Patzer, G. L. (1983). Source credibility as a function of communicator physical attractiveness. Journal of Business Research, 11, 229241. https://doi.org/10.1016/0148-2963(83)90030-9Google Scholar
Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. In Berkowitz, L. (Ed.), Advances in Experimental Social Psychology, Vol. 19 (pp. 123205). Orlando, FL: Academic Press.Google Scholar
Phipps, D. J., Hagger, M. S., & Hamilton, K. (2019). A meta-analysis of implicit and explicit attitudes in children and adolescents. PsyArXiv. https://doi.org/10.31234/osf.io/52jrsGoogle Scholar
Ross, M. (1989). Relation of implicit theories to the construction of personal histories. Psychological Review, 96, 341357. https://doi.org/10.1037/0033-295X.96.2.341Google Scholar
Rothman, A. J., & Salovey, P. (1997). Shaping perceptions to motivate healthy behavior: The role of message framing. Psychological Bulletin, 121, 319.Google Scholar
Sheeran, P., Maki, A., Montanaro, E. et al. (2016). The impact of changing attitudes, norms, and self-efficacy on health-related intentions and behavior: A meta-analysis. Health Psychology, 35, 11781188. https://doi.org/10.1037/hea0000387Google Scholar
Sherif, M., & Cantril, H. (1947). The Psychology of Ego-Involvements: Social Attitudes and Identifications. New York: Wiley.Google Scholar
Siegel, J. Y., Navarro, M. A., Tan, C. N., & Hyde, M. K. (2014). Attitude–behavior consistency, the principle of compatibility, and organ donation: A classic innovation. Health Psychology, 33, 10841091. https://doi.org/10.1037/hea0000062Google Scholar
Spinks, T., & Hamilton, K. (2015). Investigating key beliefs guiding mothers’ dietary decisions for their 2–3 year old. Appetite, 89, 167174. https://doi.org/10.1016/j.appet.2015.02.004.Google Scholar
Steadman, L., Rutter, D. R., & Field, S. (2002). Individually elicited versus modal normative beliefs in predicting attendance at breast screening: Examining the role of belief salience in the theory of planned behaviour. British Journal of Health Psychology, 7, 317330. https://doi.org/10.1348/135910702760213706Google Scholar
Steinmetz, H., Knappstein, M., Ajzen, I., Schmidt, P., & Kabst, R. (2016). How effective are behavior change interventions based on the Theory of Planned Behavior? A three-level meta-analysis. Zeitschrift Fur Psychologie/Journal of Psychology, 224, 216233.CrossRefGoogle Scholar
Stice, E., Shaw, H., Becker, C. B., & Rohde, P. (2008). Dissonance-based interventions for the prevention of eating disorders: Using persuasion principles to promote health. Prevention Science, 9, 114128. https://doi.org/10.1007/s11121-008-0093-x.Google Scholar
Stone, J., & Focella, E. (2011). Hypocrisy, dissonance and the self-regulation processes that improve health. Self and Identity, 10, 295303. https://doi.org/10.1080/15298868.2010.538550Google Scholar
Van Kleef, G. A., van den Berg, H., & Heerdink, M. W. (2015). The persuasive power of emotions: Effects of emotional expressions on attitude formation and change. Journal of Applied Psychology, 100, 11241142. https://doi.org/10.1037/apl0000003Google Scholar
White, K. M., Zhao, X., Starfelt, L. C. et al. (2019). Effectiveness of a theory-based sun-safe behavioural change intervention among adolescents. Psychology-Oncology, 28, 505510. https://doi.org/10.1002/pon.4967.Google Scholar
Wilson, E. J., & Sherrell, D. L. (1993). Source effects in communication and persuasion research: A meta-analysis of effect size. Journal of the Academy of Marketing Science, 21, 101111. https://doi.org/10.1007/BF02894421CrossRefGoogle Scholar
Wyer, R. S., Jr., & Albarracín, D. (2005). Belief formation, organization, and change: Cognitive and motivational influences. In Albarracín, D., Johnson, B. T., & Zanna, M. P. (Eds.), Handbook of Attitudes (pp. 273322). New York: Psychology Press.Google Scholar
Zajonc, R. B. (1965). Social facilitation. Science, 149, 269274. https://doi.org/10.1126/science.149.3681.269Google Scholar

References

Albarracín, D., Gillette, J. C., Earl, A. N., Glasman, L. R., Durantini, M. R., & Ho, M.-H. (2005). A test of major assumptions about behavior change: A comprehensive look at the effects of passive and active HIV-prevention interventions since the beginning of the epidemic. Psychological Bulletin, 131, 856897. https://doi.org/10.1037/0033-2909.131.6.856Google Scholar
Aro, T., Viholainen, H., Koponen, T. et al. (2018). Can reading fluency and self-efficacy of reading fluency be enhanced with an intervention targeting the sources of self-efficacy? Learning and Individual Differences, 67, 5366. https://doi.org/10.1016/j.lindif.2018.06.009Google Scholar
Bandura, A. (1977a). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84, 191215. https://doi.org/10.1037/0033-295x.84.2.191Google Scholar
Bandura, A. (1977b). Social Learning Theory. Englewood Cliffs, NJ: Prentice Hall.Google Scholar
Bandura, A. (1986). Social Foundations of Thought and Action. Englewood Cliffs, NJ: Prentice Hall.Google Scholar
Bandura, A. (1993). Perceived self-efficacy in cognitive development and functioning. Educational Psychologist, 28, 117148. https://doi.org/10.1207/s15326985ep2802_3Google Scholar
Bandura, A. (1997). Self-Efficacy: The Exercise of Control. New York: Freeman.Google Scholar
Bandura, A. (2004). Health promotion by social cognitive means. Health Education and Behavior, 31, 143164. https://doi.org/10.1177/1090198104263660Google Scholar
Bandura, A. (2006). Guide for constructing self-efficacy scales. In Pajares, F. & Urdan, T. (Eds.), Self-Efficacy Beliefs of Adolescents, Vol. 5 (pp. 307337). Greenwich, CT: Information Age Publishing.Google Scholar
Bandura, A., & Locke, E. A. (2003). Negative self-efficacy and goal effects revisited. Journal of Applied Psychology, 88, 8799. https://doi.org/10.1037/0021-9010.88.1.87Google Scholar
Bartholomew, L. K., Parcel, G. S., & Kok, G. (1998). Intervention mapping: A process for developing theory and evidence-based health education programs. Health Education and Behavior, 25, 545563. https://doi.org/10.1177/109019819802500502Google Scholar
Bellg, A. J., Borrelli, B., Resnick, B. et al. (2004). Enhancing treatment fidelity in health behavior change studies: Best practices and recommendations from the NIH Behavior Change Consortium. Health Psychology, 23, 443. https://doi.org/10.1037/0278-6133.23.5.443Google Scholar
Brockway, M., Benzies, K., & Hayden, K. A. (2017). Interventions to improve breastfeeding self-efficacy and resultant breastfeeding rates: A systematic review and meta-analysis. Journal of Human Lactation, 33, 486499. https://doi.org/10.1177/0890334417707957Google Scholar
Byars-Winston, A., Diestelmann, J., Savoy, J. N., & Hoyt, W. T. (2017). Unique effects and moderators of effects of sources on self-efficacy: A model-based meta-analysis. Journal of Counseling Psychology, 64, 645. https://doi.org/10.1037/cou0000219Google Scholar
Capa‐Aydin, Y., Uzuntiryaki‐Kondakci, E., & Ceylandag, R. (2018). The relationship between vicarious experience, social persuasion, physiological state, and chemistry self‐efficacy: The role of mastery experience as a mediator. Psychology in the Schools, 55, 12241238. https://doi.org/10.1002/pits.22201Google Scholar
Chemers, M. M., Watson, C. B., & May, S. T. (2000). Dispositional affect and leadership effectiveness: A comparison of self-esteem, optimism, and efficacy. Personality and Social Psychology Bulletin, 26, 267277. https://doi.org/10.1177/0146167200265001Google Scholar
Fentz, H. N., Arendt, M., O’Toole, M. S., Hoffart, A., & Hougaard, E. (2014). The mediational role of panic self-efficacy in cognitive behavioral therapy for panic disorder: A systematic review and meta-analysis. Behaviour Research and Therapy, 60, 2333. https://doi.org/10.1016/j.brat.2014.06.003Google Scholar
Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Reading, MA: Addison-Wesley.Google Scholar
Forsyth, A. D., Carey, M. P., & Fuqua, R. W. (1997). Evaluation of the validity of the Condom Use Self-Efficacy Scale (CUSES) in young men using two behavioral simulations. Health Psychology, 16, 175178. https://doi.org/10.1037/0278-6133.16.2.175Google Scholar
French, D. P. (2013). The role of self-efficacy in changing health-related behaviour: Cause, effect or spurious association? British Journal of Health Psychology, 18, 237243. https://doi.org/10.1111/bjhp.12038Google Scholar
French, D. P., Olander, E., Chisholm, A., & Mc Sharry, J. (2014). Which behaviour change techniques are most effective at increasing older adults’ self-efficacy and physical activity behaviour? A systematic review. Annals of Behavioral Medicine, 48, 225234. https://doi.org/10.1007/s12160-014-9593-zGoogle Scholar
Gainor, K. A., & Lent, R. W. (1998). Social cognitive expectations and racial identity attitudes in predicting the math choice intentions of Black college students. Journal of Counseling Psychology, 45, 403. https://doi.org/10.1037/0022-0167.45.4.403Google Scholar
Galipeau, R., Baillot, A., Trottier, A., & Lemire, L. (2018). Effectiveness of interventions on breastfeeding self-efficacy and perceived insufficient milk supply: A systematic review and meta-analysis. Maternal and Child Nutrition, 14, e12607. https://doi.org/10.1111/mcn.12607Google Scholar
Glessner, K., Rockinson-Szapkiw, A. J., & Lopez, M. L. (2017). “Yes, I Can”: Testing an intervention to increase middle school students’ college and career self-efficacy. The Career Development Quarterly, 65, 315325. https://doi.org/https://doi.org/10.1002/cdq.12110Google Scholar
Holloway, A. S., Watson, H. E., & Starr, G. (2006). How do we increase problem drinkers’ self‐efficacy? A nurse‐led brief intervention putting theory into practice. Journal of Substance Use, 11, 375386. https://doi.org/10.1080/14659890601037376Google Scholar
Hyde, J., Hankins, M., Deale, A., & Marteau, T. M. (2008). Interventions to increase self-efficacy in the context of addiction behaviours: A systematic literature review. Journal of Health Psychology, 13, 607623. https://doi.org/10.1177/1359105308090933Google Scholar
Klassen, R. (2006). Too much confidence? The self-efficacy beliefs of adolescents with learning disabilities. In Pajares, F. & Urdan, T. (Eds.), Self-Efficacy Beliefs of Adolescents (pp. 181200). Greenwich, CT: Information Age Publishing.Google Scholar
Knittle, K., Heino, M. T. J., Marques, M. et al. (2020). The compendium of self-enactable techniques to change and self-manage motivation and behaviour v1. 0. Nature Human Behavior. https://doi.org/10.1038/s41562-019-0798-9Google Scholar
Kok, G., Gottlieb, N. H., Peters, G.-J. Y. et al. (2016). A taxonomy of behavior change methods: An intervention mapping approach. Health Psychology Review, 10, 297312. https://doi.org/10.1080/17437199.2015.1077155Google Scholar
Lent, R. W., Brown, S. D., Gover, M. R., & Nijjer, S. K. (1996). Cognitive assessment of the sources of mathematics self-efficacy: A thought-listing analysis. Journal of Career Assessment, 4, 3346. https://doi.org/10.1177/106907279600400102Google Scholar
Liyana Amin, N. A., Tam, W. W. S., & Shorey, S. (2018). Enhancing first-time parents’ self-efficacy: A systematic review and meta-analysis of universal parent education interventions’ efficacy. International Journal of Nursing Studies, 82, 149162. https://doi.org/10.1016/j.ijnurstu.2018.03.021Google Scholar
Lubans, D. R., Foster, C., & Biddle, S. J. (2008). A review of mediators of behavior in interventions to promote physical activity among children and adolescents. Preventive Medicine, 47, 463470. https://doi.org/10.1016/j.ypmed.2008.07.011Google Scholar
Luszczynska, A., Schwarzer, R., Lippke, S., & Mazurkiewicz, M. (2011). Self-efficacy as a moderator of the planning-behaviour relationship in interventions designed to promote physical activity. Psychology and Health, 26, 151166. https://doi.org/10.1080/08870446.2011.531571Google Scholar
Maddux, J. E., & Rogers, R. W. (1983). Protection motivation and self-efficacy: A revised theory of fear appeals and attitude change. Journal of Experimental Social Psychology, 19, 469479. https://doi.org/10.1016/0022-1031(83)90023-9Google Scholar
Magklara, E., Burton, C. R., & Morrison, V. (2014). Does self-efficacy influence recovery and well-being in osteoarthritis patients undergoing joint replacement? A systematic review. Clinical Rehabilitation, 28, 835846. https://doi.org/10.1177/0269215514527843Google Scholar
Marks, R., Allegrante, J. P., & Lorig, K. (2005). A review and synthesis of research evidence for self-efficacy-enhancing interventions for reducing chronic disability: Implications for health education practice (part I). Health Promotion Practice, 6, 3743. https://doi.org/10.1177/1524839904266790Google Scholar
Michie, S., Abraham, C., Whittington, C., McAteer, J., & Gupta, S. (2009). Effective techniques in healthy eating and physical activity interventions: A meta-regression. Health Psychology, 28, 690701. https://doi.org/10.1037/a0016136Google Scholar
Michie, S., Richardson, M., Johnston, M. et al. (2013). The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: Building an international consensus for the reporting of behavior change interventions. Annals of Behavioral Medicine, 46, 8195. https://doi.org/10.1007/s12160-013-9486-6Google Scholar
Mize, S. J., Robinson, B., Bockting, W., & Scheltema, K. (2002). Meta-analysis of the effectiveness of HIV prevention interventions for women. AIDS care, 14, 163180. https://doi.org/10.1080/09540120220104686Google Scholar
Morris, D. B., Usher, E. L., & Chen, J. A. (2017). Reconceptualizing the sources of teaching self-efficacy: A critical review of emerging literature. Educational Psychology Review, 29, 795833. https://doi.org/10.1007/s10648-016-9378-yGoogle Scholar
Nichols, J., Schutte, N. S., Brown, R. F., Dennis, C.-L., & Price, I. (2009). The impact of a self-efficacy intervention on short-term breast-feeding outcomes. Health Education and Behavior, 36, 250258. https://doi.org/10.1177/1090198107303362Google Scholar
Noar, S. M., Pierce, L. B., & Black, H. G. (2010). Can computer-mediated interventions change theoretical mediators of safer sex? A meta-analysis. Human Communication Research, 36, 261297.Google Scholar
Olander, E. K., Fletcher, H., Williams, S., Atkinson, L., Turner, A., & French, D. P. (2013). What are the most effective techniques in changing obese individuals’ physical activity self-efficacy and behaviour: A systematic review and meta-analysis. International Journal of Behavioral Nutrition and Physical Activity, 10, 29. https://doi.org/10.1186/1479-5868-10-29Google Scholar
Otsuka, K., Taguri, M., Dennis, C.-L. et al. (2014). Effectiveness of a breastfeeding self-efficacy intervention: Do hospital practices make a difference? Maternal and Child Health Journal, 18, 296306. https://doi.org/10.1007/s10995-013-1265-2Google Scholar
Prestwich, A., Kellar, I., Parker, R. et al. (2014). How can self-efficacy be increased? Meta-analysis of dietary interventions. Health Psychology Review, 8, 270285. https://doi.org/10.1080/17437199.2013.813729Google Scholar
Robinson, J. L., Narasimhan, M., Amin, A. et al. (2017). Interventions to address unequal gender and power relations and improve self-efficacy and empowerment for sexual and reproductive health decision-making for women living with HIV: A systematic review. PLoS ONE, 12, e0180699. https://doi.org/10.1371/journal.pone.0180699Google Scholar
Schönfeld, P., Preusser, F., & Margraf, J. (2017). Costs and benefits of self-efficacy: Differences of the stress response and clinical implications. Neuroscience and Biobehavioral Reviews, 75, 4052. https://doi.org/10.1016/j.neubiorev.2017.01.031Google Scholar
Schunk, D. H. (1987). Peer models and children’s behavioral change. Review of Educational Research, 57, 149174. https://doi.org/10.2307/1170234Google Scholar
Schunk, D. H. (2003). Self-efficacy for reading and writing: Influence of modeling, goal setting, and self-evaluation. Reading and Writing Quarterly, 19, 159172. https://doi.org/10.1080/10573560308219Google Scholar
Schwarzer, R., & Knoll, N. (2007). Functional roles of social support within the stress and coping process: A theoretical and empirical overview. International Journal of Psychology, 42, 243252. https://doi.org/10.1080/00207590701396641Google Scholar
Sitzmann, T., & Yeo, G. (2013). A meta‐analytic investigation of the within‐person self‐efficacy domain: Is self‐efficacy a product of past performance or a driver of future performance? Personnel Psychology, 66, 531568. https://doi.org/10.1111/peps.12035CrossRefGoogle Scholar
Staring, A. B. P., & Breteler, M. H. M. (2004). Decline in smoking cessation rate associated with high self-efficacy scores. Preventive Medicine, 39, 863868. https://doi.org/10.1016/j.ypmed.2004.03.025Google Scholar
Talsma, K., Schüz, B., Schwarzer, R., & Norris, K. (2018). I believe, therefore I achieve (and vice versa): A meta-analytic cross-lagged panel analysis of self-efficacy and academic performance. Learning and Individual Differences, 61, 136150. https://doi.org/10.1016/j.lindif.2017.11.015Google Scholar
Tang, M. Y., Smith, D. M., Mc Sharry, J., Hann, M. & French, D. P. (2019). The role of self-efficacy in the initiation and maintenance of physical activity: Systematic review with meta-analysis. Annals of Behavioral Medicine, 53, 801815. https://doi.org/10.1093/abm/kay090Google Scholar
Tod, D., Hardy, J., & Oliver, E. (2011). Effects of self-talk: A systematic review. Journal of Sport and Exercise Psychology, 33, 666687. https://doi.org/10.1123/jsep.33.5.666Google Scholar
Tschannen-Moran, M., & McMaster, P. (2009). Sources of self-efficacy: Four professional development formats and their relationship to self-efficacy and implementation of a new teaching strategy. The Elementary School Journal, 110, 228245. https://doi.org/10.1086/605771Google Scholar
Unrau, N. J., Rueda, R., Son, E., Polanin, J. R., Lundeen, R. J., & Muraszewski, A. K. (2018). Can reading self-efficacy be modified? A meta-analysis of the impact of interventions on reading self-efficacy. Review of Educational Research, 88, 167204. https://doi.org/10.3102/0034654317743199Google Scholar
Warner, L. M., Schüz, B., Wolff, J. K., Parschau, L., Wurm, S., & Schwarzer, R. (2014). Sources of self-efficacy for physical activity. Health Psychology, 33, 12981308. https://doi.org/10.1037/hea0000085Google Scholar
Warner, L. M., & Schwarzer, R. (2017). Self-efficacy. In Wenzel, A. (Ed.), The SAGE Encyclopedia of Abnormal and Clinical Psychology, Vol. 1 (pp. 30363038). Thousand Oaks, CA: SAGE.Google Scholar
Wieber, F., Odenthal, G., & Gollwitzer, P. (2010). Self-efficacy feelings moderate implementation intention effects. Self and Identity, 9, 177194. https://doi.org/10.1080/15298860902860333Google Scholar
Williams, D. M., & Rhodes, R. E. (2016). The confounded self-efficacy construct: Conceptual analysis and recommendations for future research. Health Psychology Review, 10, 113128. https://doi.org/10.1080/17437199.2014.941998Google Scholar
Williams, S. L., & French, D. P. (2011). What are the most effective intervention techniques for changing physical activity self-efficacy and physical activity behaviour – and are they the same? Health Education Research, 26, 308322. https://doi.org/10.1093/her/cyr005Google Scholar
Wise, J. B., & Trunnell, E. P. (2001). The influence of sources of self-efficacy upon efficacy strength. Journal of Sport and Exercise Psychology, 23, 268280. https://doi.org/10.1123/jsep.23.4.268Google Scholar
Wittkowski, A., Dowling, H., & Smith, D. M. (2016). Does engaging in a group-based intervention increase parental self-efficacy in parents of preschool children? A systematic review of the current literature. Journal of Child and Family Studies, 25, 31733191.CrossRefGoogle Scholar
Wood, R., & Bandura, A. (1989). Social cognitive theory of organizational management. Academy of Management Review, 14, 361384. https://doi.org/10.5465/amr.1989.4279067Google Scholar
Woodgate, J., & Brawley, L. R. (2008). Self-efficacy for exercise in cardiac rehabilitation: Review and recommendations. Journal of Health Psychology, 13, 366387. https://doi.org/10.1177/1359105307088141Google Scholar
Yanar, B., Budworth, M. H., & Latham, G. P. (2009). The effect of verbal self‐guidance training for overcoming employment barriers: A study of Turkish women. Applied Psychology, 58, 586601. https://doi.org/10.1111/j.1464-0597.2008.00366.xGoogle Scholar

References

Adams, C., Rennie, L., Uskul, A. K., & Appleton, K. M. (2015). Visualising future behaviour: Effects for snacking on biscuit bars, but no effects for snacking on fruit. Journal of Health Psychology, 20, 10371048. https://doi.org/10.1177/1359105313506760Google Scholar
Andrade, J., Khalil, M., Dickson, J., May, J., & Kavanagh, D. J. (2016). Functional imagery training to reduce snacking: Testing a novel motivational intervention based on elaborated intrusion theory. Appetite, 100, 256262. https://doi.org/10.1016/j.appet.2016.02.015Google Scholar
Armitage, C. J., & Reidy, J. G. (2008). Use of mental simulations to change theory of planned behaviour variables. British Journal of Health Psychology, 13, 513524. https://doi.org/10.1348/135910707x227088Google Scholar
Armitage, C. J., & Reidy, J. G. (2012). Evidence that process simulations reduce anxiety in patients receiving dental treatment: Randomized exploratory trial. Anxiety Stress and Coping, 25, 155165. https://doi.org/10.1080/10615806.2011.604727Google Scholar
Babin, L. A., & Burns, A. C. (1998). A modified scale for the measurement of communication‐evoked mental imagery. Psychology and Marketing, 15, 261278. https://doi.org/10.1002/(SICI)1520-6793(199805)15:3<261::aid-mar4>3.0.CO;2-8Google Scholar
Bandura, A. (1986). Social Foundations of Thought and Action: A Social-Cognitive Theory. Englewood Cliffs, NJ: Prentice Hall.Google Scholar
Chan, C. K. Y., & Cameron, L. D. (2012). Promoting physical activity with goal-oriented mental imagery: A randomized controlled trial. Journal of Behavioral Medicine, 35, 347363. https://doi.org/10.1007/s10865-011-9360-6Google Scholar
Conroy, D., & Hagger, M. S. (2018). Imagery interventions in health behavior: A meta-analysis. Health Psychology, 37, 668679. https://doi.org/10.1037/hea0000625Google Scholar
Conroy, D., Sparks, P., & de Visser, R. (2015). Efficacy of a non-drinking mental simulation intervention for reducing student alcohol consumption. British Journal of Health Psychology, 20, 688707. https://doi.org/10.1111/bjhp.12133Google Scholar
Cross, A., & Sheffield, D. (2019). Mental contrasting for health behaviour change: A systematic review and meta-analysis of effects and moderator variables. Health Psychology Review, 13, 209225. https://doi.org/10.1080/17437199.2019.1594332Google Scholar
Giacobbi, P. R., Jr., Hausenblas, H. A., & Penfield, R. D. (2009). Further refinements in the measurement of exercise imagery: The exercise imagery inventory. Measurement in Physical Education and Exercise Science, 9, 251266. https://doi.org/10.1207/s15327841mpee0904_4Google Scholar
Greitemeyer, T., & Würz, D. (2005). Mental simulation and the achievement of health outcomes: The role of goal difficulty. Imagination, Cognition and Personality, 25, 239251. https://doi.org/10.2190/D4UA-RQFQ-0H5T-W9YYGoogle Scholar
Hagger, M. S., Lonsdale, A., Koka, A. et al. (2012). An intervention to reduce alcohol consumption in undergraduate students using implementation intentions and mental simulations: A cross-national study. International Journal of Behavioral Medicine, 19, 8296. https://doi.org/10.1007/s12529-011-9163-8Google Scholar
Hagger, M. S., Lonsdale, A. J., & Chatzisarantis, N. L. D. (2011). Effectiveness of a brief intervention using mental simulations in reducing alcohol consumption in corporate employees. Psychology, Health and Medicine, 16, 375392. https://doi.org/10.1080/13548506.2011.554568Google Scholar
Hagger, M. S., Lonsdale, A. J., & Chatzisarantis, N. L. D. (2012). A theory-based intervention to reduce alcohol drinking in excess of guideline limits among undergraduate students. British Journal of Health Psychology, 17, 1843. https://doi.org/10.1111/j.2044-8287.2010.02011.xGoogle Scholar
Hagger, M. S., Luszczynska, A., de Wit, J. et al. (2016). Implementation intention and planning interventions in health psychology: Recommendations from the Synergy expert group for research and practice. Psychology and Health, 31, 814839. https://doi.org/10.1080/08870446.2016.1146719Google Scholar
Hamilton, J., Fawson, S., May, J., Andrade, J., & Kavanagh, D. J. (2013). Brief guided imagery and body scanning interventions reduce food cravings. Appetite, 71, 158162. https://doi.org/10.1016/j.appet.2013.08.005Google Scholar
Hamilton, K., Keech, J. J., Peden, A., & Hagger, M. S. (2019). A protocol for developing a mental imagery intervention: A randomised controlled trial testing a novel implementation imagery e-health intervention to change driver behaviour during floods. BMJ Open, 9, e025565. https://doi.org/10.1136/bmjopen-2018-025565Google Scholar
Hattar, A., Hagger, M. S., & Pal, S. (2015). Weight-loss intervention using implementation intentions and mental imagery: A randomised control trial study protocol. BMC Public Health, 15, 196. https://doi.org/10.1186/s12889-015-1578-8Google Scholar
Hausenblas, H. A., Hall, C. R., Rodgers, W. M., & Munroe, K. J. (1999). Exercise imagery: Its nature and measurement. Journal of Applied Sport Psychology, 11, 171180. https://doi.org/10.1080/10413209908404198Google Scholar
Kavanagh, D. J., Andrade, J., & May, J. (2005). Imaginary relish and exquisite torture: The elaborated intrusion theory of desire. Psychological Review, 112, 446467. https://doi.org/10.1037/0033-295X.112.2.446Google Scholar
Keech, J. J., Hagger, M. S., & Hamilton, K. (2019). Changing stress mindsets with a novel imagery intervention: A randomized controlled trial. Emotion. https://doi.org/10.1037/emo0000678Google Scholar
Knäuper, B., McCollam, A., Rosen-Brown, A., Lacaille, J., Kelso, E., & Roseman, M. (2011). Fruitful plans: Adding targeted mental imagery to implementation intentions increases fruit consumption. Psychology and Health, 26, 601617. https://doi.org/10.1080/08870441003703218Google Scholar
Knäuper, B., Roseman, M., Johnson, P. J., & Krantz, L. H. (2009). Using mental imagery to enhance the effectiveness of implementation intentions. Current Psychology, 28, 181186. https://doi.org/10.1007/s12144-009-9055-0Google Scholar
Kok, G., Gottlieb, N. H., Peters, G.-J. Y. et al. (2016). A taxonomy of behavior change methods: An intervention mapping approach. Health Psychology Review, 10, 297312. https://doi.org/10.1080/17437199.2015.1077155Google Scholar
Koka, A., & Hagger, M. S. (2017). A brief intervention to increase physical activity behavior among adolescents using mental simulations and action planning. Psychology, Health and Medicine, 22, 701710. https://doi.org/10.1080/13548506.2016.1211298Google Scholar
Kosslyn, S. M., Ganis, G., & Thompson, W. L. (2001). Neural foundations of imagery. Nature Reviews Neuroscience, 2, 635. https://doi.org/10.1038/35090055Google Scholar
Loft, M. H., & Cameron, L. D. (2013). Using mental imagery to deliver self-regulation techniques to improve sleep behaviors. Annals of Behavioral Medicine, 46, 260272. https://doi.org/10.1007/s12160-013-9503-9Google Scholar
Markland, D., Hall, C. R., Duncan, L. R., & Simatovic, J. (2015). The effects of an imagery intervention on implicit and explicit exercise attitudes. Psychology of Sport and Exercise, 17, 2431. https://doi.org/10.1016/j.psychsport.2014.11.007Google Scholar
May, J., Andrade, J., Kavanagh, D. J., & Hetherington, M. (2012). Elaborated intrusion theory: A cognitive-emotional theory of food craving. Current Obesity Reports, 1, 114121. https://doi.org/10.1007/s13679-012-0010-2Google Scholar
Meslot, C., Gauchet, A., Allenet, B., François, O., & Hagger, M. S. (2016). Theory-based interventions combining mental simulation and planning techniques to improve physical activity: Null results from two randomized controlled trials. Frontiers in Psychology, 7, 1789. https://doi.org/10.3389/fpsyg.2016.01789Google Scholar
Michie, S., Ashford, S., Sniehotta, F. F., Dombrowski, S. U., Bishop, A., & French, D. P. (2011). A refined taxonomy of behaviour change techniques to help people change their physical activity and healthy eating behaviours: The CALO-RE taxonomy. Psychology and Health, 26, 14791498. https://doi.org/10.1080/08870446.2010.540664Google Scholar
Michie, S., Richardson, M., Johnston, M. et al. (2013). The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: Building an international consensus for the reporting of behavior change interventions. Annals of Behavioral Medicine, 46, 8195. https://doi.org/10.1007/s12160-013-9486-6Google Scholar
Murphy, S. M., Nordin, S., & Cumming, J. (2008). Imagery in sport, exercise, and dance. In Horn, T. S. (Ed.), Advances in Sport Psychology (3rd ed., pp. 297324). Champaign, IL: Human Kinetics.Google Scholar
Neck, C. P., & Manz, C. C. (1996). Thought self-leadership: The impact of mental strategies training on employee cognition, behavior, and affect. Journal of Organizational Behavior, 17, 445467. https://doi.org/10.1002/(SICI)1099-1379(199609)17:5<445::aid-job770>3.0.CO;2-NGoogle Scholar
Oettingen, G. (2012). Future thought and behaviour change. European Review of Social Psychology, 23, 163. https://doi.org/10.1080/10463283.2011.643698Google Scholar
Pham, L. B., & Taylor, S. E. (1999a). The effect of mental simulation on goal-directed performance. Imagination, Cognition and Personality, 18, 253268. https://doi.org/10.2190/VG7 L-T6HK-264 H-7XJYGoogle Scholar
Pham, L. B., & Taylor, S. E. (1999b). From thought to action: Effects of process- versus outcome-based mental simulations on performance. Personality and Social Psychology Bulletin, 26, 250260. https://doi.org/10.1177/0146167299025002010Google Scholar
Rennie, L. J., Harris, P. R., & Webb, T. L. (2014). The impact of perspective in visualizing health-related behaviors: First-person perspective increases motivation to adopt health-related behaviors. Journal of Applied Social Psychology, 44, 806812. https://doi.org/10.1111/jasp.12266Google Scholar
Stanley, D. M., & Cumming, J. (2010). Are we having fun yet? Testing the effects of imagery use on the affective and enjoyment responses to acute moderate exercise. Psychology of Sport and Exercise, 11, 582590. https://doi.org/10.1016/j.psychsport.2010.06.010Google Scholar
Taylor, S. E., & Schneider, S. K. (1989). Coping and the simulation of events. Social Cognition, 7, 174194. https://doi.org/10.1521/soco.1989.7.2.174Google Scholar
Utay, J., & Miller, M. (2006). Guided imagery as an effective therapeutic technique: A brief review of its history and efficacy research. Journal of Instructional Psychology, 33, 4043.Google Scholar
Vasquez, N. A., & Buehler, R. (2007). Seeing future success: Does imagery perspective influence achievement motivation? Personality and Social Psychology Bulletin, 33, 13921405. https://doi.org/10.1177/0146167207304541Google Scholar

References

Abraham, C., & Sheeran, P. (2004). Deciding to exercise: The role of anticipated regret. British Journal of Health Psychology, 9, 269278. https://doi.org/10.1348/135910704773891096Google Scholar
Baranowski, T., Buday, R., Thompson, D. I., & Baranowski, J. (2008). Playing for real: Video games and stories for health-related behavior change. American Journal of Preventive Medicine, 34, 7482. https://doi.org/10.1016/j.amepre.2007.09.027Google Scholar
Barnett, A., Cerin, E., & Baranowski, T. (2011). Active video games for youth: A systematic review. Journal of Physical Activity and Health, 8, 724737. https://doi.org/10.1123/jpah.8.5.724Google Scholar
Cabanac, M. (1992). Pleasure: The common currency. Journal of Theoretical Biology, 155, 173200.Google Scholar
Carfora, V., Caso, D., & Conner, M. (2016). Randomized controlled trial of “messaging intervention” to increase fruit and vegetable intake in adolescents: Affective versus instrumental messages. British Journal of Health Psychology, 21, 937955. https://doi.org/10.1111/bjhp.12208Google Scholar
Carfora, V., Caso, D., & Conner, M. (2017). Randomised controlled trial of a text messaging intervention for reducing processed meat consumption: The mediating roles of anticipated regret and intention. Appetite, 117, 152160. https://doi.org/10.1016/j.appet.2017.06.025Google Scholar
Conner, M. (2018). Affective attitudes, anticipated affect and health behaviors. In Williams, D. M., Rhodes, R. E., & Conner, M. T. (Eds.), Affective Determinants of Health-Related Behavior (pp. 4868). New York: Oxford University Press.Google Scholar
Conner, M., McEachan, R., Taylor, N., O’Hara, J., & Lawton, J. (2015). Role of affective attitudes and anticipated affective reactions in predicting health behaviors. Health Psychology, 34, 642652. https://doi.org/10.1037/hea0000143Google Scholar
Conner, M. & Norman, P. (Eds.). (2015). Predicting and Changing Health Behaviour: Research and Practice with Social Cognition Models (3rd ed.). Maidenhead: Open University Press.Google Scholar
Conner, M., Rhodes, R., Morris, B., McEachan, R., & Lawton, R. (2011). Changing exercise through targeting affective or cognitive attitudes. Psychology and Health, 26, 133149. https://doi.org/10.1080/08870446.2011.531570Google Scholar
Davidson, R. J., Scherer, K. R., & Goldsmith, H. H. (Eds.). (2009). Handbook of Affective Sciences. New York: Oxford University.Google Scholar
Day, A. K., & Coups, E. J. (2018). Affect and tanning behaviors. In Williams, D. M., Rhodes, R. E., & Conner, M. T. (Eds.), Affective Determinants of Health- Related Behavior (pp. 357376). New York: Oxford University Press.Google Scholar
De Houwer, J., Thomas, S., & Baeyens, F. (2001). Associative learning of likes and dislikes: A review of 25 years of research on human evaluative conditioning. Psychological Bulletin, 127, 853869. https://doi.org/10.1037/0033-2909.127.6.853Google Scholar
Deterding, S., Dixon, D., & Khaled, R. (2011). From game design mechanics to gamefulness: Defining gamification. Paper presented at the 15th International Academic MindTrek Conference: Envisioning Future Media Environments, Tampere, Finland, September 28–30.Google Scholar
Dillard, A. J., Fagerlin, A., Dal Cin, S., Zikmund-Fisher, B. J., & Ubel, P. A. (2010). Narratives that address affective forecasting errors reduce perceived barriers to colorectal cancer screening. Social Science and Medicine, 71, 4552. https://doi.org/10.1016/j.socscimed.2010.02.038Google Scholar
Ellis, E. M., Elwyn, G., Nelson, W. L., Scalia, P., Kobrin, S. C., & Ferrer, R. A. (2018). Interventions to engage affective forecasting in health-related decision making: A meta-analysis. Annals of Behavioral Medicine, 52, 157174. https://doi.org/10.1093/abm/kax024Google Scholar
Ferrer, R. A., Fisher, J. D., Buck, R., & Amico, K. R. (2011). Pilot test of an emotional education intervention component for sexual risk reduction. Health Psychology, 30, 656660. https://doi.org/10.1037/a0023438Google Scholar
Fisher, A., Bonner, C., Biankin, A. V., & Juraskova, I. (2012). Factors influencing intention to undergo whole genome screening in future healthcare: A single-blind parallel-group randomised trial. Preventive Medicine, 55, 514520. https://doi.org/10.1016/j.ypmed.2012.08.008Google Scholar
Frijda, N. (2008). The psychologists point of view. In Lewis, M., Haviland-Jones, J. M., & Barrett, L. F. (Eds.), Handbook of Emotions (3rd ed.) (pp. 6887). New York: Guilford Press.Google Scholar
Godin, G., Sheeran, P., Conner, M. et al. (2010). Which survey questions change behavior? Randomized controlled trial of mere measurement interventions. Health Psychology, 29, 636644. https://doi.org/10.1037/a0021131Google Scholar
Hofmann, W., De Houwer, J., Perugini, M., Baeyens, F., & Crombez, G. (2010). Evaluative conditioning in humans: A meta-analysis. Psychological Bulletin, 136, 390421. https://doi.org/10.1037/a0018916Google Scholar
Hollands, G. J., Prestwich, A., & Marteau, T. M. (2011). Using aversive images to enhance healthy food choices and implicit attitudes: An experimental test of evaluative conditioning. Health Psychology, 30, 195203. https://doi.org/10.1037/a0022261Google Scholar
Johnston, V. S. (2003). The origin and function of pleasure. Cognition and Emotion, 17, 167179. https://doi.org/10.1080/02699930302290Google Scholar
Kaos, M. D., Beauchamp, M. R., Bursick, S. K. et al. (2018). Efficacy of online multi-player versus single-player exergames on adherence behaviours among children: A nonrandomized control trial. Annals of Behavioral Medicine, 20, 112.Google Scholar
Kaos, M. D., Rhodes, R. E., Hämäläinen, P., & Graham, T. C. N. (2019). Social play in an exergame: How the need to belong predicts adherence. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI ’19). ACM, New York, Paper No. 430. https://doi.org/10.1145/3290605.3300660Google Scholar
Kaushal, N., & Rhodes, R. E. (2014). The home physical environment and its impact on physical activity and sedentary behaviour: A systematic review. Preventive Medicine, 67, 221237. https://doi.org/10.1016/j.ypmed.2014.07.026Google Scholar
Kiviniemi, M. T., & Klasko-Foster, L. B. (2018). The behavioral affective associations model. In Williams, D. M., Rhodes, R. E., & Conner, M. T. (Eds.), Affective Determinants of Health-Related Behavior (pp. 185203). New York: Oxford University Press.Google Scholar
Kok, G., Gottlieb, N. H., Peters, G.-J. Y. et al. (2016). A taxonomy of behavior change methods: An intervention mapping approach. Health Psychology Review, 10, 297312. https://doi.org/10.1080/17437199.2015.1077155Google Scholar
Larsen, R. J. (2000). Toward a science of mood regulation. Psychological Inquiry, 11, 129141. https://doi.org/10.1207/S15327965PLI1103_01Google Scholar
LeBlanc, A. G., Chaput, J. P., McFarlane, A. et al. (2013). Active video games and health indicators in children and youth: A systematic review. PLoS ONE, 8, e65351. https://doi.org/10.1371/journal.pone.0065351Google Scholar
Lewis, M., Haviland-Jones, J. M., & Barrett, L. F. (Eds.). (2008). Handbook of Emotions (3rd ed.). New York: Guilford Press.Google Scholar
Madigan, J. (2016). Getting Gamers: The Psychology of Videogames and Their Impact on the People Who Play Them. New York: Rowman & Littlefield.Google Scholar
McCarthy, D. E., Cook, J. W., Leyro, T. M., Minami, H., & Bold, K. W. (2018). Affective determinants of smoking. In Williams, D. M., Rhodes, R. E., & Conner, M. T. (Eds.), Affective Determinants of Health-Related Behavior (pp. 286312). New York: Oxford University Press.Google Scholar
Michie, S., Richardson, M., Johnston, M. et al. (2013). The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: Building an international consensus for the reporting of behavior change interventions. Annals of Behavioral Medicine, 46, 8195. https://doi.org/10.1007/s12160-013-9486-6Google Scholar
Miller, A. S., Cafazzo, J. A., & Seto, E. (2016). A game plan: Gamification design principles in mHealth applications for chronic disease management. Health Informatics Journal, 22, 184193. https://doi.org/10.1177/1460458214537511Google Scholar
Morris, B., Lawton, R., McEachan, R., Hurling, R., & Conner, M. (2015). Changing self-reported physical activity using different types of affectively and cognitively framed health messages, in a student population. Psychology, Health and Medicine, 21, 198207. https://doi.org/10.1080/13548506.2014.997762Google Scholar
Morris, W. N. (1999). The mood system. In Kahneman, D., Diener, E., & Schwarz, N. (Eds.), Well-Being: The Foundations of Hedonic Psychology (pp. 169189). New York: Russell-Sage.Google Scholar
Murgraff, V., McDermott, M. R., White, D., & Phillips, K. (1999). Regret is what you get: The effects of manipulating anticipated affect and time perspective on risky single-occasion drinking. Alcohol and Alcoholism, 34, 590600. https://doi.org/10.1093/alcalc/34.4.590Google Scholar
O’Carroll, R. E., Shepherd, L., Hayes, P. C., & Ferguson, E. (2016). Anticipated regret and organ donor registration: A randomized controlled trial. Health Psychology, 35, 11691177. https://doi.org/10.1037/hea0000363Google Scholar
Parrott, M. W., Tennant, L. K., Olejnik, S., & Poudevigne, M. S. (2008). Theory of planned behaviour: Implications for an email-based physical activity intervention. Psychology of Sport and Exercise, 9, 511526. https://doi.org/10.1016/j.psychsport.2007.07.002Google Scholar
Reese, E. D., Yi, J. Y., Bell, R. P., & Daughters, S. B. (2018). The role of negative affect in the course of substance use disorders. In Williams, D. M., Rhodes, R. E., & Conner, M. T. (Eds.), Affective Determinants of Health-Related Behavior (pp. 313333). New York: Oxford University Press.Google Scholar
Rhodes, R. E., Beauchamp, M., Blanchard, C. M., Bredin, S. S. D., Warburton, D. E. R., & Maddison, R. (2019). Predictors of stationary cycling exergame use among inactive children in the family home. Psychology of Sport and Exercise, 41, 181190. https://doi.org/10.1016/j.psychsport.2018.03.009Google Scholar
Rhodes, R. E., Fiala, B., & Conner, M. (2009). Affective judgments and physical activity: A review and meta-analysis. Annals of Behavioral Medicine, 38, 180204. https://doi.org/10.1007/s12160-009-9147-yGoogle Scholar
Rhodes, R. E., & Gray, S. M. (2018). Affect in the process of action control of health-protective behaviors. In Williams, D. M., Rhodes, R. E., & Conner, M. T. (Eds.), Affective Determinants of Health-Related Behavior (pp. 2147). New York: Oxford University Press.Google Scholar
Rhodes, R. E., Gray, S. M., & Husband, C. (2019). Experimental manipulation of affective judgements about physical activity: A systematic review and meta-analysis of adults. Health Psychology Review, 13, 1834. https://doi.org/10.1080/17437199.2018.1530067Google Scholar
Rhodes, R. E., Kaos, M. D., Beauchamp, M. R. et al. (2018). Effects of home-based exergaming on child social cognition and subsequent prediction of behavior. Scandinavian Journal of Medicine and Science in Sports, 28, 22342242.Google Scholar
Rhodes, R. E., Williams, D. M., & Conner, M. (2018). Affective determinants of health behaviors: Common themes, future direction, and implications for health behavior change. In Williams, D. M., Rhodes, R. E., & Conner, M. T. (Eds.), Affective Determinants of Health-Related Behavior (pp. 485498). New York: Oxford University Press.Google Scholar
Riley, D. M. (2010). 2009 U.S. Video Game Industry and PC Game Software Retail Sales Reach $20.2 Billion. Port Washington, NY: NPD Group.Google Scholar
Russell, J. A. (1980). A circumplex model of affect. Journal of Personality and Social Psychology, 39, 11611178. https://doi.org/10.1037/h0077714Google Scholar
Russell, J. A., & Barrett, L. F. (1999). Core affect, prototypical emotional episodes, and other things called emotion: Dissecting the elephant. Journal of Personality and Social Psychology, 76, 805819. https://doi.org/10.1037/0022-3514.76.5.805Google Scholar
Sandberg, T., & Conner, M. (2009). A mere measurement effect for anticipated regret: Impacts on cervical screening attendance. British Journal of Social Psychology, 48, 221236. https://doi.org/10.1348/014466608X347001Google Scholar
Sandberg, T., & Conner, M. (2011). Using self-generated validity to promote exercise behaviour. British Journal of Social Psychology, 50, 769783. https://doi.org/10.1111/j.2044-8309.2010.02004.xGoogle Scholar
Sheeran, P., Harris, P., & Epton, T. (2014). Does heightening risk appraisals change people’s intentions and behavior? A meta-analytic review of the experimental evidence. Psychological Bulletin, 140, 511543. https://doi.org/10.1037/a0033065Google Scholar
Sheeran, P., Maki, A., Montanaro, E. et al. (2016). The impact of changing attitudes, norms, and self-efficacy on health-related intentions and behavior: A meta-analysis. Health Psychology, 35, 11781188. https://doi.org/10.1037/hea0000387Google Scholar
Sheeran, P., Webb, T. L., Gollwitzer, P. M., & Oettingen, G. (2018). Self-regulation of affect-health behavior relations. In Williams, D. M., Rhodes, R. E., & Conner, M. T. (Eds.), Affective Determinants of Health-Related Behavior (pp. 90114). New York: Oxford University Press.Google Scholar
Sirriyeh, R., Lawton, R., & Ward, J. (2010). Physical activity and adolescents: An exploratory randomized controlled trial investigating the influence of affective and instrumental text messages. British Journal of Health Psychology, 15, 825840. https://doi.org/10.1348/135910710X486889Google Scholar
Smerecnik, C. M., & Ruiter, R. A. (2010). Fear appeals in HIV prevention: The role of anticipated regret. Psychology, Health and Medicine, 15, 550559. https://doi.org/10.1080/13548506.2010.498888Google Scholar
Thayer, R. E. (1978). Factor analytic and reliability studies on the Activation-Deactivation Adjective Check List. Psychological Reports, 42, 747756. https://doi.org/10.2466/pr0.1978.42.3.747Google Scholar
Vernadakis, N., Zetou, E., Derri, V., Bebetsos, E., & Filippou, F. (2014). The differences between less fit and overweight children on enjoyment of exergames, other physical activity and sedentary behaviours. Procedia – Social and Behavioral Sciences, 152, 802807. https://doi.org/10.1016/j.sbspro.2014.09.324Google Scholar
Watson, D., & Tellegen, A. (1985). Toward a consensual structure of mood. Psychological Bulletin, 98, 219235. https://doi.org/10.1037/0033-2909.98.2.219Google Scholar
Webb, T. L., Miles, E., & Sheeran, P. (2012). Dealing with feeling: A meta-analysis of the effectiveness of strategies derived from the process model of emotion regulation. Psychological Bulletin, 138, 775808. https://doi.org/10.1037/a0027600Google Scholar
Weirs, R. M., Anderson, K. G., Van Bockstaele, B., Salemink, E., & Hommel, B. (2018). Affect, dual-processing, developmental psychopathology, and health behaviors. In Williams, D. M., Rhodes, R. E., & Conner, M. T. (Eds.), Affective Determinants of Health-Related Behavior (pp. 158184). New York: Oxford University Press.Google Scholar
White, B. X., & Albarracín, D. (2017). Investigating belief falsehood. Fear appeals do change behaviour in experimental laboratory studies. A commentary on Kok et al. (2018). Health Psychology Review, 12, 147150. https://doi.org/10.1080/17437199.2018.1448292Google Scholar
Williams, D. M., & Evans, D. R. (2014). Current emotion research in health behavior science. Emotion Review, 6, 277287. https://doi.org/10.1177/175407391452305Google Scholar
Williams, D. M., Rhodes, R. E., & Conner, M. (2018). Overview of affective determinants of health behavior. In Williams, D. M., Rhodes, R. E., & Conner, M. T. (Eds.), Affective Determinants of Health-Related Behavior (pp. 118). New York: Oxford University Press.Google Scholar
Wilson, T. D., & Gilbert, D. T. (2005). Affective forecasting: Knowing what to want. Current Directions in Psychological Science, 14, 131134. https://doi.org/10.1111/j.0963-7214.2005.00355.xGoogle Scholar

References

Aelterman, N., Vansteenkiste, M., Soenens, B. et al. (2019). Toward a fine-grained understanding of the components of need-supportive and need-thwarting teaching: The merits of a gradual approach. Journal of Educational Psychology, 111, 497521. https://doi.org/10.1037/edu0000293Google Scholar
Assor, A., Kaplan, H., Kanat-Maymon, Y., & Roth, G. (2005). Directly controlling teacher behaviors as predictors of poor motivation and engagement in girls and boys: The role of anger and anxiety. Learning and Instruction, 15, 397413. https://doi.org/10.1016/j.learninstruc.2005.07.008Google Scholar
Assor, A., Kaplan, H., & Roth, G. (2002). Choice is good, but relevance is excellent: Autonomy-enhancing and suppressing teaching behaviors predicting students’ engagement in schoolwork. British Journal of Educational Psychology, 27, 261278. https://doi.org/10.1348/000709902158883Google Scholar
Bartholomew, K. J., Ntoumanis, N., Ryan, R., Bosch, J. A., & Thøgersen-Ntoumani, C. (2011). Self-determination theory and diminished functioning: The role of interpersonal control and psychological need thwarting. Personality and Social Psychology Bulletin, 37, 14591473. https://doi.org/10.1177/0146167211413125Google Scholar
Bartholomew, K. J., Ntoumanis, N., Ryan, R. M., & Thøgersen-Ntoumani, C. (2011). Psychological need thwarting in the sport context: Assessing the darker side of athletic experience. Journal of Sport and Exercise Psychology, 33, 75102. https://doi.org/10.1123/jsep.33.1.75Google Scholar
Bhavsar, N., Ntoumanis, N., Quested, E. et al. (2019). Conceptualizing and testing a new tripartite measure of coach interpersonal behaviors. Psychology of Sport and Exercise, 44, 107–120. https://doi.org/10.1016/j.psychsport.2019.05.006Google Scholar
Brekelmans, M. (1989). Interpersonal Teacher Behavior in the Classroom. Utrecht: W. C. C.Google Scholar
Cheon, S. H., & Reeve, J. (2013). Do the benefits from autonomy-supportive PE teacher training programs endure? A one-year follow-up investigation. Psychology of Sport and Exercise, 14, 508518. https://doi.org/10.1016/j.psychsport.2013.02.002Google Scholar
Cheon, S. H., & Reeve, J. (2015). A classroom-based intervention to help teachers decrease students’ amotivation. Contemporary Educational Psychology, 40, 99111. https://doi.org/10.1016/j.cedpsych.2014.06.004Google Scholar
Cheon, S. H., Reeve, J., Lee, J., & Lee, Y. (2015). Giving and receiving autonomy support in a high-stakes sport context: A field-based experiment during the 2012 London Paralympic Games. Psychology of Sport and Exercise, 19, 5969. https://doi.org/10.1016/j.psychsport.2015.02.007Google Scholar
Cheon, S. H., Reeve, J., Lee, Y., & Lee, J.-W. (2018). Why autonomy-supportive interventions work: Explaining the professional development of teachers’ motivating styles. Teaching and Teacher Education, 69, 4351. https://doi.org/10.1016/j.tate.2017.09.022Google Scholar
Cheon, S. H., Reeve, J., Lee, Y. et al. (2019). Expanding autonomy psychological need states from two (satisfaction, frustration) to three (dissatisfaction): A classroom-based intervention study. Journal of Educational Psychology, 111, 685702. https://doi.org/10.1037/edu0000306Google Scholar
Cheon, S. H., Reeve, J., & Moon, I. S. (2012). Experimentally based, longitudinally designed, teacher-focused intervention to help physical education teachers be more autonomy supportive toward their students. Journal of Sport and Exercise Psychology, 34, 365396. https://doi.org/10.1123/jsep.34.3.365Google Scholar
Cheon, S. H., Reeve, J., & Ntoumanis, N. (2018). A needs-based intervention to help PE teachers enhance students’ prosocial behavior and diminish antisocial behavior. Psychology of Sport and Exercise, 35, 7488. https:doi.org/10.1016/j.psychsport.2017.11.010Google Scholar
Cheon, S. H., Reeve, J., & Song, Y.-G. (2016). A teacher-focused intervention to decrease PE students’ amotivation by increasing need satisfaction and decreasing need frustration. Journal of Sport and Exercise Psychology, 38, 217235. https://doi.org/10.1123/jsep.2015-0236Google Scholar
Cheon, S. H., Reeve, J., & Song, Y.-G. (2019). Recommending goals and supporting needs: An intervention to help physical education teachers communicate their expectations while supporting students’ psychological needs. Psychology of Sport and Exercise, 41, 107118. https://doi.org/10.1016/j.psychsport.2018.12.008Google Scholar
Cheon, S. H., Reeve, J., Yu, T. H., & Jang, H.-R. (2014). The teacher benefits from giving autonomy support during physical education instruction. Journal of Sport and Exercise Psychology, 36, 331346. https://doi.org/10.1123/jsep.2013-0231Google Scholar
Cheon, S. H., Reeve, J., & Vansteenkiste, M. (2020). Expanding a traditional autonomy-supportive intervention into a multiple motivating styles intervention for PE teachers: Benefits to students, benefits to teachers. Teaching and Teacher Education. http://doi.org/10.1016/j.tate.2019.103004Google Scholar
Costa, A., Ntoumanis, N., & Bartholomew, K. (2015). Predicting the brighter and darker sides of interpersonal relationships: Does psychological need thwarting matter? Motivation and Emotion, 39, 1124. https://doi.org/10.1007/s11031-014-9427-0Google Scholar
Crozier, A. J. (2019). Step up: Exploring the impact of social prompts on stair use in a university setting. Psychology of Sport and Exercise, 41, 99106. https://doi.org/10.1016/j.psychsport.2018.11.015Google Scholar
Deci, E. L., & Ryan, R. M. (1985). The general causality orientations scale: Self-determination in personality. Journal of Research in Personality, 19, 109134. http://doi.org/10.1016/0092-6566(85)90023–6Google Scholar
Deci, E. L., Schwartz, A., Sheinman, L., & Ryan, R. M. (1981). An instrument to assess adults’ orientations toward control versus autonomy in children: Reflections on intrinsic motivation and perceived competence. Journal of Educational Psychology, 73, 642650. https://doi.org/10.1037/0022-0663.73.5.642Google Scholar
De Meyer, J., Tallir, I., Soenens, B. et al. (2014). Does observed controlling teaching behavior relate to students’ motivation in physical education? Journal of Educational Psychology, 106, 541554. https://doi.org/10.1037/a0034399Google Scholar
Gunnell, K., Crocker, P. R. E., Wilson, P. M., Mack, D. E., & Zumbo, B. D. (2013). Psychological need satisfaction and thwarting: A test of basic psychological needs theory in physical activity contexts. Psychology of Sport and Exercise, 14, 599607. https://doi.org/10.1016/j.psychsport.2013.03.007Google Scholar
Haerens, L., Aelterman, N., Vansteenkiste, M., Soenens, B., & Van Petegem, S. (2015). Do perceived autonomy-supportive and controlling teaching relate to physical education students’ motivational experiences through unique pathways? Distinguishing between the bright and dark side of motivation. Psychology of Sport and Exercise, 16, 2636. https://doi.org/10.1016/j.psychsport.2014.08.013Google Scholar
Hardre, P. L., & Reeve, J. (2009). Training corporate managers to adopt a more autonomy-supportive motivating style toward employees: An intervention study. International Journal of Training Development, 13, 165184. https://doi.org/10.1111/j.1468-2419.2009.00325.xGoogle Scholar
Jang, H., Reeve, J., Ryan, R. M., & Kim, A. (2009). Can self-determination theory explain what underlies the productive, satisfying learning experiences of collectivistically-oriented South Korean adolescents? Journal of Educational Psychology, 101, 644661. https://doi.org/10.1037/a0014241Google Scholar
Jang, H., Kim, E.-J., & Reeve, J. (2016). Why students become more engaged or more disengaged during the semester: A self-determination theory dual-process model. Learning and Instruction, 43, 2738. https://doi.org/10.1016/j.learninstruc.2016.01.002Google Scholar
Jang, H., Reeve, J., & Halusic, M. (2016). A new autonomy-supportive way of teaching that increases conceptual learning: Teaching in students’ preferred ways. Journal of Experimental Education, 84, 686701. https://doi.org/10.1080/00220973.2015.1083522Google Scholar
Matos, L., & Gargurevich, R. (2019). An autonomy-supportive intervention to help Peruvian college instructors support their students’ autonomy. Unpublished manuscript, Pontifical Catholic University of Peru.Google Scholar
Michie, S., Richardson, M., Johnston, M. et al. (2013). The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: Building an international consensus for the reporting of behavior change interventions. Annals of Behavioral Medicine, 46, 8195. https/doi.org/10.1007/s12160-013-9486-6Google Scholar
Reeve, J. (1998). Autonomy support as an interpersonal motivating style: Is it teachable? Contemporary Educational Psychology, 23, 312330. https://doi.org/10.1006/ceps.1997.0975Google Scholar
Reeve, J. (2009). Why teachers adopt a controlling motivating style toward students and how they can become more autonomy supportive. Educational Psychologist, 44, 159178. https://doi.org/10.1080/00461520903028990Google Scholar
Reeve, J. (2016). Autonomy-supportive teaching: What it is, how to do it. In Wang, J. C. K., Liu, W. C., & Ryan, R. M. (Eds.), Building Autonomous Learners: Perspectives from Research and Practice Using Self-Determination Theory (pp. 129152). New York: Springer.Google Scholar
Reeve, J., & Cheon, S. H. (2016). Teachers become more autonomy supportive after they believe it is easy to do. Psychology of Sport and Exercise, 22, 178189. https://doi.org/10.1016/j.psychsport.2015.08.001Google Scholar
Reeve, J., & Cheon, S. H. (2019). Sociocultural influences on teachers’ reactions to an intervention to help them become more autonomy supportive. In Liem, G. A. D. & McInerney, D. M. (Eds.), School Motivation Intervention: Sociocultural Influences. Greenwich, CT: Information Age Publishing.Google Scholar
Reeve, J., Jang, H., Carrell, D., Jeon, S., & Barch, J. (2004). Enhancing high school students’ engagement by increasing their teachers’ autonomy support. Motivation and Emotion, 28, 147169. https://doi.org/10.1023/B:MOEM.0000032312.95499.6 fGoogle Scholar
Reeve, J., Jang, H.-R., & Jang, H. (2018). Personality-based antecedents of teachers’ autonomy-supportive and controlling motivating styles. Learning and Individual Differences, 62, 1222. https://doi.org/10.1016/j.lindif.2018.01.001Google Scholar
Ryan, R. M., & Deci, E. L. (2017). Self-Determination Theory: Basic Psychological Needs in Motivation, Development, and Wellness. New York: Guilford Press.Google Scholar
Soenens, B., Sierens, E., Vansteenkiste, M., Goossens, L., & Dochy, F. (2012). Psychologically controlling teaching: Examining outcomes, antecedents, and mediators. Journal of Educational Psychology, 104, 108120. https://doi.org/10.1037/a0025742Google Scholar
Su, Y., & Reeve, J. (2011). A meta-analysis of the effectiveness of intervention programs designed to support autonomy. Educational Psychology Review, 23, 159188. https://doi.org/10.1007/s10648-010-9142-7Google Scholar
Tschannen-Moran, M., & Woolfolk Hoy, A. (2001). Teacher efficacy: Capturing an elusive construct. Teaching and Teacher Education, 17, 783805. https://doi.org/10.1016/S0742-051X(01)00036–1Google Scholar
Vansteenkiste, M., & Ryan, R. M. (2013). On psychological growth and vulnerability: Basic psychological need satisfaction and need frustration as a unifying principle. Journal of Psychotherapy Integration, 23, 263280. https/doi.org/10.1037/a0032359Google Scholar
Weber-Gasparoni, K., Warren, J. J., Reeve, J., Drake, D. R., Kramer, K. W. O., & Dawson, D. V. (2013). An effective psychoeducational intervention for ECC prevention – Part 2. Pediatric Dentistry, 35, 247251.Google Scholar
Williams, G. C., & Deci, E. L. (1996). Internalization of biopsychosocial values by medical students: A test of self-determination theory. Journal of Personality and Social Psychology, 70, 767779. https://doi.org/10.1037/0022-3514.70.4.767Google Scholar

References

Acland, D., & Levy, M. R. (2015). Naiveté, projection bias, and habit formation in gym attendance. Management Science, 61, 146160. https://doi.org/10.1287/mnsc.2014.2091Google Scholar
Adams, J., Giles, E., McColl, E., & Sniehotta, F. (2014). Carrots, sticks and health behaviours: A framework for documenting the complexity of financial incentive interventions to change health behaviours, Health Psychology Review, 8, 286295. https://doi.org/10.1080/17437199.2013.848410Google Scholar
Aggarwal, S., Dizon-Ross, R., & Zucker, A. (2018). Incentivizing behavioral change: The role of time preferences. Unpublished manuscript, Chicago Booth University, Chicago, IL. http://faculty.chicagobooth.edu/rebecca.dizon-ross/research/papers/Incentive_Design.pdfGoogle Scholar
Allcott, H., & Rogers., T. (2014). The short-run and long-run effects of behavioral interventions: Experimental evidence from energy conservation. American Economic Review, 104, 30033037. https://doi.org/10.1257/aer.104.10.3003Google Scholar
Andreoni, J., Callen, M., Khan, Y., Jaffar, K., & Sprenger, S. (2016). Using preference estimates to customize incentives: An application to polio vaccination drives in Pakistan. NBER Working Paper No. 22019. www.nber.org/papers/w22019Google Scholar
Angrist, J., Bettinger, E., Bloom, E., King, E., & Kremer, M. (2002). Vouchers for private schooling in Colombia: Evidence from a randomized natural experiment. American Economic Review, 92, 15351558. https://doi.org/10.1257/000282802762024629Google Scholar
Ashraf, N., Karlan, D., & Yin, W. (2006). Tying Odysseus to the mast: Evidence from a commitment savings product in the Philippines. Quarterly Journal of Economics, 121, 635672. https://doi.org/10.1162/qjec.2006.121.2.635Google Scholar
Augenblick, N., Niederle, M., & Sprenger, C. (2015). Working over time: Dynamic inconsistency in real effort tasks. Quarterly Journal of Economics. 130, 10671115. https://doi.org/10.1093/qje/qjv020Google Scholar
Bachireddy, C., Joung, A., John, L. K. et al. (2019). Comparing financial incentive structures for promoting physical activity: A randomized controlled trial. Unpublished manuscript, University of Pennsylvania, Philadelphia, PA. https://static1.squarespace.com/static/5353b838e4b0e68461b517cf/t/5b5760c82b6a28ce3b6a9745/1532453064822/Incentives_for_Physical_Activity_RCT_Manuscript_PNAS.pdfGoogle Scholar
Becker, G. S. (1992). Habits, addictions and traditions, Kyklos, 45, 327345. https://doi.org/10.1111/j.1467-6435.1992.tb02119.xGoogle Scholar
Becker, G. S., & Murphy, K. M. (1988). A theory of rational addiction. Journal of Political Economy, 96, 675700. https://doi.org/10.1086/261558Google Scholar
Brandon, A., Ferraro, P., List, J., Metcalfe, R., Price, M., & Rundhammer, F. (2017). Do the effects of social nudges persist? Theory and evidence from 38 natural field experiments. NBER Working Paper No. 23277. www.nber.org/papers/w23277Google Scholar
Burnham, T. A., Frels, J. K., & Mahajan, V. (2003). Consumer switching costs: A typology, antecedents, and consequences. Journal of the Academy of Marketing Science, 31, 109126.Google Scholar
Cappelen, A., Charess, G., Ekström, M., Gneezy, U., & Tungodden, B. (2019). Exercise improves academic performance. https://brage.bibsys.no/xmlui/bitstream/handle/11250/2452391/DP%2008.pdf?sequence=1Google Scholar
Carden, L., Wood, W., Neal, D. T., & Pascoe, A. (2017). Incentives activate a control mind-set: Good for deliberate behaviors, bad for habit performance. Journal of the Association for Consumer Research, 2, 279290. https://doi.org/10.1086/695325Google Scholar
Carrera, M., Royer, H., Stehr, M., & Sydnor, J. (2017). The structure of health incentives: Evidence from a field experiment. NBER Working Paper No. 23188. www.nber.org/papers/w23188Google Scholar
Charness, G., & Gneezy, U. (2009). Incentives to exercise. Econometrica, 77, 909931. https://doi.org/10.3982/ECTA7416Google Scholar
Ehrenberg, A. S. C. (1991). New brands and the existing market. Journal of the Market Research Society, 33, 285299. https://doi.org/10.1177/147078539103300402Google Scholar
Falk, A., & Kosfeld, M. (2006). The hidden costs of control. American Economic Review, 96, 16111630. https://doi.org/10.1257/aer.96.5.1611Google Scholar
Fehr, E., & List, J. A. (2004). The hidden costs and returns of incentives: Trust and trustworthiness among CEOs. Journal of the European Economic Association, 2, 743771. https://doi.org/10.1162/1542476042782297Google Scholar
Frey, B. (1997). Not Just for the Money: An Economic Theory of Personal Motivation. Cheltenham: Edward Elgar.Google Scholar
Friebel, G., Heinz, M., Krueger, M., & Zubanov, N. (2017). Team incentives and performance: Evidence from a retail chain. American Economic Review, 107, 21682203. https://doi.org/10.1257/aer.20160788Google Scholar
Giles, E. L., Robalino, S., McColl, E., Sniehotta, F. F. & Adams, J. (2014). The effectiveness of financial incentives for health behaviour change: Systematic review and meta-analysis. PLoS ONE, 9, e90347. https://doi.org/10.1371/journal.pone.0090347Google Scholar
Gneezy, U., Meier, S., & Rey-Biel, P. (2011). When and why incentives (don’t) work to modify behavior. Journal of Economic Perspectives, 25, 191209. https://doi.org/10.1257/jep.25.4.191Google Scholar
Gneezy, U., & Rustichini, A. (2000). A fine is a price. Journal of Legal Studies, 29, 118. https://doi.org/10.1086/468061Google Scholar
Higgins, S. T., Washio, Y., Heil, S. H. et al. (2012). Financial incentives for smoking cessation among pregnant and newly postpartum women. Preventive Medicine, 55, S3340. https://doi.org/10.1016/j.ypmed.2011.12.016Google Scholar
Homonoff, T., Willage, B., & Willén, A. (2020). Rebates as incentives: The effects of a gym membership reimbursement program. Journal of Health Economics, 70, 102285. https://doi.org/https://doi.org/10.1016/j.jhealeco.2019.102285Google Scholar
John, L. K., Milkman, K. L., Gino, F., Tuckfield, B., & Foschini, L. (2018). The ineffectiveness of inconspicuous incentives: A field experiment on inattention. Unpublished manuscript, Harvard Business School, Cambridge, MA. https://static1.squarespace.com/static/5353b838e4b0e68461b517cf/t/5966320a86e6c01e1f7bdffe/149986971747/IncIncentivesSubmittedMSciBEDec2017.pdfGoogle Scholar
Kast, F., Meier, S., & Pomeranz, D. (2018). Saving more in groups: Field experimental evidence from Chile. Journal of Development Economics, 133, 275294. https://doi.org/10.1016/j.jdeveco.2018.01.006Google Scholar
Khare, A., & Inman, J. J. (2006). Habitual behavior in American eating patterns: The role of meal occasions. Journal of Consumer Research, 32, 567575. https://doi.org/10.1086/500487Google Scholar
Klemperer, P. (1987a). Markets with consumer switching costs. Quarterly Journal of Economics, 102, 375394. https://doi.org/10.2307/1885068Google Scholar
Klemperer, P. (1987b). The competitiveness of markets with switching costs. RAND Journal of Economics, 18, 138150. https://doi.org/10.2307/2555540Google Scholar
Laibson, D. (1997). Golden eggs and hyperbolic discounting. Quarterly Journal of Economics 112, 443477. https://doi.org/10.1162/003355397555253Google Scholar
Levitt, S. D., List, J. A., & Sadoff, S. (2016). The effect of performance-based incentives on educational achievement: Evidence from a randomized experiment. NBER Working Paper No. 22107. www.nber.org/papers/w22107Google Scholar
Meier, S. (2007). Do subsidies increase charitable giving in the long run? matching donations in a field experiment. Journal of the European Economic Association, 5, 12031222. https://doi.org/10.1162/JEEA.2007.5.6.1203Google Scholar
Meier, S., & Sprenger, C. (2010). Present-biased preferences and credit card borrowing. American Economic Journal: Applied Economics, 2, 193210. https://doi.org/10.1257/app.2.1.193Google Scholar
Mellström, C., & Johannesson, M. (2008). Crowding out in blood donation: Was Titmuss right? Journal of the European Economic Association, 6, 845863. https://doi.org/10.1162/JEEA.2008.6.4.845Google Scholar
Milkman, K. L., Minson, J., & Volpp, K. (2013). Holding the hunger games hostage at the gym: An evaluation of temptation bundling. Management Science, 60, 283299. https://doi.org/10.1287/mnsc.2013.1784Google Scholar
Neiman, B., & Vavra, J., (2018). The rise in household spending concentration. Available at SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3137782Google Scholar
O’Donoghue, T., & Rabin, M. (1999). Doing it now or later. American Economic Review, 89, 103124. https://doi.org/10.1257/aer.89.1.103Google Scholar
Park, M. (2011). The economic impact of wireless number portability. The Journal of Industrial Economics, 59, 714745. https://doi.org/10.1111/j.1467-6451.2011.00471.xGoogle Scholar
Read, D., & van Leeuwen, B. (1998). Predicting hunger: The effects of appetite and delay on choice. Organizational Behavior and Human Decision Processes, 76, 189205. https://doi.org/10.1006/obhd.1998.2803Google Scholar
Royer, H., Stehr, M., & Sydnor, J. (2015). Incentives, commitments, and habit formation in exercise: Evidence from a field experiment with workers at a Fortune-500 company. American Economic Journal: Applied Economics, 7, 5184. https://doi.org/10.1257/app.20130327Google Scholar
Sadoff, S., Samek, A., & Sprenger, C. (2014). Dynamic inconsistency in food choice: Experimental evidence from a food desert. Becker Friedman Institute for Research in Economics Working Paper No. 2572821; CESR-Schaeffer Working Paper 2015-027. Available at SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2572821##Google Scholar
Seetharaman, P. B. (2004). Modeling multiple sources of state dependence in random utility models: A distributed lag approach. Marketing Science, 23, 263271. https://doi.org/10.1287/mksc.1030.0024Google Scholar
Strotz, R. H. (1956). Myopia and inconsistency in dynamic utility maximization. Review of Economic Studies, 23, 165180. https://doi.org/10.2307/2295722Google Scholar
Thaler, R. H., & Sunstein, C. R. (2008). Nudge: Improving Decisions About Health, Wealth, and Happiness. New Haven, CT: Yale University Press.Google Scholar
Volpp, K. G., John, L. K., Troxel, A. B., Norton, L., Fassbender, J., & Loewenstein, G. (2008). Financial incentive-based approaches for weight loss: A randomized trial. Journal of the American Medical Association, 300, 26312637. https://doi.org/10.1001/jama.2008.804Google Scholar
Volpp, K. G., Troxel, A. B., Pauly, M. V. et al. (2009). A randomized, controlled trial of financial incentives for smoking cessation. New England Journal of Medicine, 360, 699709. https://doi.org/10.1056/NEJMsa0806819Google Scholar
Wood, W., Quinn, J. M., & Kashy, D. A. (2002). Habits in everyday life: Thought, emotion, and action. Journal of Personality and Social Psychology, 83, 12811297.Google Scholar

References

Abrahamse, W., Steg, L., Vlek, C., & Rothengatter, T. A. (2005). Review of intervention studies aimed at household energy conservation. Journal of Environmental Psychology, 25, 273291. https://doi.org/10.1016/j.jenvp.2005.08.002Google Scholar
Anseel, F., Beatty, A., Shen, W., Lievens, F., & Sackett, P. R. (2015). How are we doing after 30 years? A meta-analytic review of the antecedents and outcomes of feedback-seeking behavior. Journal of Management, 41, 318348. https://doi.org/10.1177/0149206313484521Google Scholar
Ashford, S. J. (1986). Feedback-seeking in individual adaptation: A resource perspective. Academy of Management Journal, 29, 465487. https://doi.org/10.2307/256219Google Scholar
Ashford, S. J. (2003). Reflections on the looking glass: A review of research on feedback-seeking behavior in organizations. Journal of Management, 29, 773799. https://doi.org/10.1016/S0149-2063(03)00079-5Google Scholar
Banas, K., Lyimo, R. A., Hospers, H. J., van der Ven, A., & de Bruin, M. (2017). Predicting adherence to combination antiretroviral therapy for HIV in Tanzania: A test of an extended theory of planned behavior model. Psychology & Health, 32, 12491265. https://doi.org/10.1080/08870446.2017.1283037Google Scholar
Bandura, A. (1991). Social cognitive theory of self-regulation. Organizational Behavior and Human Decision Processes, 50, 248287. https://doi.org/10.1016/0749-5978(91)90022-LGoogle Scholar
Baumeister, R. F., Vohs, K. D., DeWall, C. N., & Zheng, L. (2007). How emotion shapes behavior: Feedback, anticipation, and reflection, rather than direct causation. Personality and Social Psychology Review, 11, 167203. https://doi.org/10.1177/1088868307301033Google Scholar
Beck, J. W., Scholer, A. A., & Hughes, J. (2017). Divergent effects of distance versus velocity disturbances on emotional experiences during goal pursuit. Journal of Applied Psychology, 102, 11091123. https://doi.org/10.1037/apl0000210.Google Scholar
Bonezzi, A., Brendl, C. M., & De Angelis, M. (2011). Stuck in the middle: The psychophysics of goal pursuit. Psychological Science, 22, 607612. https://doi.org/10.1177/0956797611404899Google Scholar
Bray, E. P., Holder, R., Mant, J., & McManus, R. J. (2010). Does self-monitoring reduce blood pressure? Meta-analysis with meta-regression of randomized controlled trials. Annals of Medicine, 42, 371386. https://doi.org/10.3109/07853890.2010.489567Google Scholar
Brown, C. M., & McConnell, A. R. (2011). Discrepancy-based and anticipated emotions in behavioral self-regulation. Emotion, 11, 10911095. https://doi.org/10.1037/a0021756Google Scholar
Butryn, M. L., Phelan, S., Hill, J. O., & Wing, R. R. (2007). Consistent self-monitoring of weight: A key component of successful weight loss maintenance. Obesity, 15, 30913096. https://doi.org/10.1038/oby.2007.368Google Scholar
Campion, M. A., & Lord, R. G. (1982). A control systems conceptualization of the goal-setting and changing process. Organizational Behavior and Human Performance, 30, 265287. https://doi.org/10.1016/0030-5073(82)90221-5Google Scholar
Carraro, N., & Gaudreau, P. (2013). Spontaneous and experimentally induced action planning and coping planning for physical activity: A meta-analysis. Psychology of Sport and Exercise, 14, 228248. http://dx.doi.org/10.1016/j.psychsport.2012.10.004Google Scholar
Carver, C. S. (2003). Pleasure as a sign you can attend to something else: Placing positive feelings within a general model of affect. Cognition and Emotion, 17, 241261. https://doi.org/10.1080/02699930302294Google Scholar
Carver, C. S., & Scheier, M. F. (1982). Control theory: A useful conceptual framework for personality-social, clinical, and health psychology. Psychological Bulletin, 92, 111135. https://doi.org/10.1037/0033-2909.92.1.111Google Scholar
Carver, C. S., & Scheier, M. F. (1990). Origins and functions of positive and negative affect: A control-process view. Psychological Review, 97, 1935. https://doi.org/10.1037/0033-295X.97.1.19Google Scholar
Carver, C. S., Lawrence, J. W., & Scheier, C. S. (1999). Self-discrepancies and affect: Incorporating the role of feared selves. Personality and Social Psychology Bulletin, 25, 783792. https://doi.org/10.1177/0146167299025007002Google Scholar
Clar, C., Barnard, K., Cummins, E., Royle, P., & Waugh, N. (2010). Self-monitoring of blood glucose in type 2 diabetes: Systematic review. Health Technology Assessment, 14, 1140. https://doi.org/10.3310/hta14120Google Scholar
de Bruin, M., Hospers, H. J., van Breukelen, G. J., Kok, G., Koevoets, W. M., & Prins, J. M. (2010). Electronic monitoring-based counseling to enhance adherence among HIV-infected patients: a randomized controlled trial. Health Psychology, 29, 421428. https://doi.org/10.1037/a0020335Google Scholar
de Bruin, M., Hospers, H. J., van den Borne, H. W., Kok, G., & Prins, J. M. (2005). Theory and evidence-based intervention to improve adherence to antiretroviral therapy among HIV-infected patients in the Netherlands: a pilot study. AIDS Patient Care and STDs, 19, 384394. https://doi.org/10.1089/APC.2005.19.384Google Scholar
de Bruin, M., Oberjé, E. J. M., Viechtbauer, W. et al. (2017). Effectiveness and cost-effectiveness of a nurse-delivered intervention to improve adherence to treatment for HIV: A pragmatic, multicentre, open-label, randomised clinical trial. The Lancet Infectious Diseases, 17, 595604. https://doi.org/10.1016/S1473-3099(16)30534-5Google Scholar
de Bruin, M., Sheeran, P., Kok, G. et al. (2012). Self-regulatory processes mediate the intention-behavior relation for adherence and exercise behaviors. Health Psychology, 31, 695703. https://doi.org/10.1037/ a0027425Google Scholar
Della Libera, C., & Chelazzi, L. (2006). Visual selective attention and the effects of monetary rewards. Psychological Science, 17, 222227. https://doi.org/10.1111/j.1467-9280.2006.01689.xGoogle Scholar
Dombrowski, S. U., Sniehotta, F. F., Avenell, A., Johnston, M., MacLennan, G., & Araújo-Soares, V. (2012). Identifying active ingredients in complex behavioural interventions for obese adults with obesity-related co-morbidities or additional risk factors for co-morbidities: A systematic review. Health Psychology Review, 6, 732. https://doi.org/10.1080/ 17437199.2010.513298Google Scholar
Duval, S., & Wicklund, R. (1972). A Theory of Objective Self-Awareness. New York: Academic Press.Google Scholar
Febbraro, G. A. R., & Clum, G. A. (1998). Meta-analytic investigation of the effectiveness of self-regulatory components in the treatment of adult problem behaviors. Clinical Psychology Review, 18, 143161. https://doi.org/10.1016/S0272-7358(97)00008-1Google Scholar
Finkelstein, E. A., Haaland, B. A., Bilger, M. et al. (2016). Effectiveness of activity trackers with and without incentives to increase physical activity (TRIPPA): A randomised controlled trial. The Lancet Diabetes and Endocrinology, 4, 983995. https://doi.org/10.1016/S2213-8587(16)30284-4Google Scholar
Fishbach, A., Touré-Tillery, M., Carter, T. J., & Sheldon, O. J. (2012). The problem with self-control. Paper presented at the Society for Personality and Social Psychology Conference, January, San Diego, CA, January 26–28.Google Scholar
Ford, D. H. (1987). Humans As Self-Constructing Living Systems: A Developmental Perspective on Behavior and Personality. Hillsdale, NJ: Lawrence Erlbaum Associates.Google Scholar
Gollwitzer, P. M., & Sheeran, P. (2006). Implementation intentions and goal achievement: A meta-analysis of effects and processes. Advances in Experimental Social Psychology, 38, 69120. http://dx.doi.org/10.1016/ S0065-2601(06)38002–1Google Scholar
Gonzalez, J. S., Safren, S. A., Cagliero, E. et al. (2007). Depression, self-care, and medication adherence in Type 2 Diabetes: Relationships across the full range of symptom severity. Diabetes Care, 30, 22222227. https://doi.org/10.2337/dc07-0158Google Scholar
Greaves, C. J., Sheppard, K. E., Abraham, C. et al. (2011). Systematic review of reviews of intervention components associated with increased effectiveness in dietary and physical activity interventions. BMC Public Health, 11, 119. https://doi.org/10.1186/1471-2458-11-119Google Scholar
Hargreaves, T., Nye, M., & Burgess, J. (2010). Making energy visible: A qualitative field study of how householders interact with feedback from smart energy monitors. Energy Policy, 38, 61116119. https://doi.org/10.1016/j.enpol.2010.05.068Google Scholar
Harkin, B., Webb, T. L., Chang, B. P. I. et al. (2016). Does monitoring goal progress promote goal attainment? A meta-analysis of the experimental evidence. Psychological Bulletin, 142, 198229. https://doi.org/10.1037/bul0000025Google Scholar
Helsel, D. L., Jakicic, J. M., & Otto, A. D. (2007). Comparison of techniques for self-monitoring eating and exercise behaviors on weight loss in a correspondence-based intervention. Journal of the American Dietetic Association, 107, 18071810. https://doi.org/10.1016/j.jada.2007.07.014Google Scholar
Heneghan, C., Ward, A., Perera, R. et al. (2012). Self-monitoring of oral anticoagulation: Systematic review and meta-analysis of individual patient data. The Lancet, 379. https://doi.org/10.1016/S0140-6736(11)61294-4Google Scholar
Howansky, K., Dominick, J. K., & Cole, S. (2018). The look of success or failure: Biased self-perceptions serve as informational feedback during goal pursuit. Motivation Science. https://doi.org/10.1037/mot0000121Google Scholar
Huang, S.-C., Zhang, Y., & Broniarczyk, S. M. (2012). So near and yet so far: The mental representation of goal progress. Journal of Personality and Social Psychology, 103, 225241. https://doi.org/10.1037/a0028443Google Scholar
Ickes, W., Dugosh, J. W., Simpson, J. A., & Wilson, C. L. (2003). Suspicious minds: The motive to acquire relationship-threatening information. Personal Relationships, 10, 131148. https://doi.org/10.1111/1475-6811.00042Google Scholar
Jakicic, J. M., Davis, K. K., Rogers, R. J., et al. (2016). Effect of wearable technology combined with a lifestyle intervention on long-term weight loss: The idea randomized clinical trial. Journal of the American Medical Association, 316, 11611171. https://doi.org/10.1001/jama.2016.12858Google Scholar
Kanfer, F. H., & Karoly, P. (1972). Self-control: A behavioristic excursion into the lion’s den. Behavior Therapy, 3, 398416. https://doi.org/10.1016/S0005-7894(72)80140-0Google Scholar
Kluger, A. N., & DeNisi, A. (1996). The effects of feedback interventions on performance: A historical review, a meta-analysis, and a preliminary feedback intervention theory. Psychological Bulletin, 119, 254284. https://doi.org/10.1037/0033-2909.119.2.254Google Scholar
Kok, G., Gottlieb, N. H., Peters, G.-J. Y. et al. (2016). A taxonomy of behaviour change methods: An intervention mapping approach. Health Psychology Review, 10, 297312. https://doi.org/10.1080/17437199.2015.1077155Google Scholar
Latham, G. P., & Locke, E. A. (1991). Self-regulation through goal setting. Organizational Behavior and Human Decision Processes, 50, 212247. https://doi.org/10.1016/0749-5978(91)90021-KGoogle Scholar
Lewin, K. (1951). Field Theory in Social Science. New York: Harper.Google Scholar
Louro, M. J., Pieters, R., & Zeelenberg, M. (2007). Dynamics of multiple-goal pursuit. Journal of Personality and Social Psychology, 93, 174193. https://doi.org/10.1037/0022-3514.93.2.174Google Scholar
Michie, S., Abraham, C., Whittington, C., McAteer, J., & Gupta, S. (2009). Effective techniques in healthy eating and physical activity interventions: A meta-regression. Health Psychology, 28, 690701. https://doi.org/10.1037/a0016136Google Scholar
Michie, S., Richardson, M., Johnston, M. et al. (2013). The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: Building an international consensus for the reporting of behavior change interventions. Annals of Behavioral Medicine, 46, 8195. https://doi.org/10.1007/s12160-013-9486-6Google Scholar
Miller, G. A., Galanter, E., & Pribram, K. H. (1960). Plans and the Structure of Behavior. New York: Holt, Rinehart, & Winston. https://doi.org/10.1037/10039-000Google Scholar
Moberly, N. J., & Watkins, E. R. (2010). Negative affect and ruminative self-focus during everyday goal pursuit. Cognition and Emotion, 24, 729739. https://doi.org/10.1080/02699930802696849Google Scholar
Myrseth, K. O. R., & Fishbach, A. (2009). Self-control: A function of knowing when and how to exercise restraint. Current Directions in Psychological Science, 18, 247252. https://doi.org/10.1111/j.1467-8721.2009.01645.xGoogle Scholar
Powers, W. T. (1973). Behavior: The Control of Perception. Chicago: Aldine.Google Scholar
Reynolds, J. P., Webb, T. L., Benn, Y., Chang, B. P. I., & Sheeran, P. (2018). Feeling bad about progress does not lead people to want to change their health behaviour. Psychology and Health, 33, 275291. https://doi.org/10.1080/08870446.2017.1310862Google Scholar
Richardson, C. R., Newton, T. L., Abraham, J. J., Sen, A., Jimbo, M., & Swartz, A. M. (2008). A meta-analysis of pedometer-based walking interventions and weight loss. Annals of Family Medicine, 6, 6977. https://doi.org/10.1370/afm.761Google Scholar
Shaffer, J. A., Kronish, I. M., Falzon, L., Cheung, Y. K., & Davidson, K. W. (2018). N-of-1 randomized intervention trials in health psychology: A systematic review and methodology critique. Annals of Behavioral Medicine, 52, 731742. https://doi.org/10.1093/abm/kax026.Google Scholar
Tice, D. M., Bratslavsky, E., & Baumeister, R. F. (2001). Emotional distress regulation takes precedence over impulse control: If you feel bad, do it! Journal of Personality and Social Psychology, 80, 5367. https://doi.org/10.1037/0022-3514.80.1.53Google Scholar
Wang, C., & Mukhopadhyay, A. (2012). The dynamics of goal revision: A Cybernetic Multiperiod Test-Operate-Test-Adjust-Loop (TOTAL) model of self-regulation. Journal of Consumer Research, 38, 815832. https://doi.org/10.1086/660853Google Scholar
Webb, T. L., Benn, Y., & Chang, B. P. I. (2014). Antecedents and consequences of monitoring domestic electricity consumption. Journal of Environmental Psychology, 40, 228238. https://doi.org/10.1016/j.jenvp.2014.07.001Google Scholar
Webb, T. L., Chang, B. P. I., & Benn, Y. (2013). “The ostrich problem”: Motivated avoidance or rejection of information about goal progress. Social and Personality Psychology Compass, 7, 794807. https://doi.org/10.1111/spc3.12071Google Scholar
Webber, J., Scheuermann, B., McCall, C., & Coleman, M. (1993). Research on self-monitoring as a behavior management technique in special-education classrooms: A descriptive review. Remedial and Special Education, 14, 3856. https://doi.org/10.1177/074193259301400206Google Scholar
WHO (World Health Organization). (2015). Sugars Intake for Adults and Children. Geneva: WHO. www.who.int/nutrition/publications/guidelines/sugars_intake/enGoogle Scholar
Wilhite, H., & Ling, R. (1995). Measured energy savings from a more informative energy bill. Energy and Buildings, 22, 145155.Google Scholar

References

Behavioral Medicine Lab. (2018). Health promotion practitioners: Infographic resources. https://onlineacademiccommunity.uvic.ca/mpac/resources-2/infographic-resources/Google Scholar
Business News Daily (2019). 6 tips for writing an effective performance review. Business News Daily. www.businessnewsdaily.com/5760-write-good-performance-review.htmlGoogle Scholar
Carson, P. P., Carson, K. D., & Heady, R. B. (1994). Cecil Alec Mace: The man who discovered goal-setting. International Journal of Public Administration, 17, 16791708. https://doi.org/10.1080/01900699408524960Google Scholar
Chidester, T. R., & Grigsby, C. (1984). A meta-analysis of the goal setting performance literature. Proceedings of the Academy of Management, 1, 202206. https://doi.org/10.5465/AMBPP.1984.4978779Google Scholar
Cohen, J. (1992). A power primer. Psychological Bulletin, 112, 155159. https://doi.org/10.1037/0033-2909.112.1.155Google Scholar
Doran, G. T. (1981). There’s a S.M.A.R.T. way to write management’s goals and objectives. Management Review, 70, 3536.Google Scholar
Duke of Edinburgh. (2019). Our strategic objectives. Duke of Edinburgh. Website. https://www.dofe.org/about/Google Scholar
Eberly, M. B., Liu, D., Mitchell, T. R., & Lee, T. W. (2017). Attributions and emotions as mediators and/or moderators in the goal striving process. In Locke, E. A. & Latham, G. P. (Eds.), New Developments in Goal Setting and Task Performance (pp. 3550). Abingdon: Routledge.Google Scholar
Epton, T., Currie, S. & Armitage, C. J. (2017). Unique effects of setting goals on behavior change: Systematic review and meta-analysis. Journal of Consulting and Clinical Psychology, 85, 11821198. https://doi.org/10.1037/ccp0000260Google Scholar
Heider, F. (1958). The Psychology of Interpersonal Relations. Hillsdale, NJ: Lawrence Erlbaum Associates.Google Scholar
Kleingeld, A., van Mierlo, H., & Arends, L. (2011). The effect of goal setting on group performance: A meta-analysis. Journal of Applied Psychology, 96, 12891304. https://doi.org/10.1037/a0024315Google Scholar
Knittle, K., Heino, M. T. J., Marques, M. et al. (2020). The compendium of self-enactable techniques to change and self-manage motivation and behaviour v1. 0 Nature Human Behavior. https://doi.org/10.1038/s41562-019-0798-9Google Scholar
Kok, G., Gottlieb, N. H., Peters, G.-J. Y. et al. (2016). A taxonomy of behavior change methods: An intervention mapping approach. Health Psychology Review, 10, 297312. https://doi.org/10.1080/17437199.2015.1077155Google Scholar
Kruglanski, A. W., Shah, J. Y., Fishbach, A., Friedman, R., Chun, W. Y., & Sleeth-Keppler, D. (2002). A theory of goal systems. Advances in Experimental Social Psychology, 34, 331378. https://doi.org/10.1016/S0065-2601(02)80008–9Google Scholar
Latham, G. P., & Seijts, G. H. (2016). Distinguished scholar invited essay: Similarities and differences among performance, behavioral and learning goals. Journal of Leadership and Organizational Studies, 23, 225233. https://doi.org/10.1177/1548051816641874Google Scholar
Locke, E. A., & Latham, G. P. (1990). A Theory of Goal Setting and Task Performance. Englewood Cliffs, NJ: Prentice Hall.Google Scholar
Locke, E. A., & Latham, G. P. (2002). Building a practically useful theory of goal setting and task motivation: A 35-year odyssey. American Psychologist, 57, 705717. https://doi.org/10.1037/0003-066X.57.9.705Google Scholar
Locke, E. A., & Latham, G. P. (2006). New directions in goal setting theory. Current Directions in Psychological Science, 15, 265268. https://doi.org/10.1111/j.1467-8721.2006.00449.xGoogle Scholar
Locke, E. A., & Latham, G. P. (Eds.) (2017). New Developments in Goal setting and Task Performance. Abingdon: Routledge.Google Scholar
Locke, E. A., & Latham, G. P. (2019). The development of goal setting theory: A half century retrospective. Motivation Science, 5, 93105. https://doi.org/10.1037/mot0000127Google Scholar
Locke, E. A., Shaw, K. N., Saar, L. M., & Latham, G. P. (1981). Goal setting and task performance: 1969–1981. Psychological Bulletin, 90, 125152. https://doi.org/10.1037/0033-2909.90.1.125Google Scholar
Mento, A. J., Steel, R. P., & Karren, R. J. (1987). A meta-analytic study of the effects of goal setting performance 1966–1984. Organizational Behavior and Human Decision Processes, 39, 5283. https://doi.org/10.1016/0749-5978(87)90045–8Google Scholar
Michie, S., Ashford, S., Sniehotta, F. F., Dombrowski, S. U., Bishop, A., & French, D. P. (2011). A refined taxonomy of behaviour change techniques to help people change their physical activity and healthy eating behaviours: The CALO-RE taxonomy. Psychology and Health, 26, 14791498. https://doi.org/10.1080/08870446.2010.540664Google Scholar
Michie, S., Richardson, M., Johnston, M. et al. (2013). The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: Building an international consensus for the reporting of behavior change interventions. Annals of Behavioral Medicine, 46, 8195. https://doi.org/10.1007/s12160-013-9486-6Google Scholar
Monday.com (2019). A new way to manage your work. Monday.com. Website. https://monday.com/Google Scholar
Neubert, M. J. (1998). The value of feedback and goal setting over goal setting alone and potential moderators of this effect: A meta-analysis. Human Performance, 11, 321335. https://doi.org/10.1207/s15327043hup11042Google Scholar
NHS (2017). Couch to 5k: week by week. NHS. Website. www.nhs.uk/live-well/exercise/couch-to-5k-week-by-week/Google Scholar
Parliament UK (2019). Targets and performance. Parliament UK. Website. www.parliament.uk/about/sustainability/targets-and-performance/Google Scholar
Pham, L. B., & Taylor, S. E. (1999). From thought to action: Effects of process- versus outcome-based mental simulations on performance. Personality and Social Psychology Bulletin, 26, 250260. https://doi.org/10.1177/0146167299025002010Google Scholar
PHE (Public Health England). (2012). Stoptober. Public Health England. Website. https://campaignresources.phe.gov.uk/resources/campaigns/6-stoptober/overviewGoogle Scholar
Powers, W. T. (1973/2005). Behavior: The Control of Perception. New York: Hawthorne.Google Scholar
Powers, W. T. (2008). Living Control Systems III: The Fact of Control. Benchmark Publications.Google Scholar
Powers, W. T., Clark, R. K., & McFarland, R. L. (1960a). A general feedback theory of human behavior: Part I. Perceptual and Motor Skills, 11, 7188. https://doi.org/10.2466/pms.1960.11.1.71Google Scholar
Powers, W. T., Clark, R. K., & McFarland, R. L. (1960b). A general feedback theory of human behavior: Part II. Perceptual and Motor Skills, 11, 309323. https://doi.org/10.2466/pms.1960.11.1.71Google Scholar
Shah, J. Y., Friedman, R., & Kruglanski, A. W. (2002). Forgetting all else: On the antecedents and consequences of goal shielding. Journal of Personality and Social Psychology, 83, 12611280. https://doi.org/10.1037/0022-3514.83.6.1261Google Scholar
Sky Sports. (2012). Jessica Ennis is setting new goals after her success at the London Olympics. Sky Sports, November 14. www.skysports.com/more-sports/athletics/news/14935/8247229/jessica-ennis-is-setting-new-goals-after-her-success-at-the-london-olympicsGoogle Scholar
Swann, C., Rosenbaum, S., Lawrence, A., Vella, S., McEwan, E., & Ekkekakis, P. (2019). Updating goal setting theory in physical activity promotion: A critical conceptual review. Health Psychology Review.Google Scholar
Tubbs, M. E. (1986). A meta-analytical examination of the empirical evidence. Journal of Applied Psychology, 71, 474483. https://doi.org/10.1037/0021-9010.71.3.474Google Scholar
UN (United Nations). (2015). Sustainable development goals. United Nations. Website. www.un.org/sustainabledevelopment/sustainable-development-goals/Google Scholar
Venables, L., & Fairclough, S. H. (2009). The influence of performance feedback on goal setting and mental effort regulation. Motivation and Emotion, 33, 6374. https://doi.org/10.1007/s11031-008-9116-yGoogle Scholar
Wood, R. E., Mento, A. J., & Locke, E. A. (1987). Task complexity as a moderator of goal effects: A meta-analysis. Journal of Applied Psychology, 72, 416423. https://doi.org/10.1037/0021-9010.72.3.416Google Scholar
Wood, R. E., Whelan, J., Sojo, V., & Wong, M. (2017). Goals, goal orientations, strategies and performance. In Locke, E. A. & Latham, G. P. (Eds.), New Developments in Goal Setting and Task Performance (pp. 91114). Abingdon: Routledge.Google Scholar

References

Ach, N. (1905). Uber die Willenstatigkeit und das Denken. Göttingen: Vandenhoeck & Ruprecht.Google Scholar
Adriaanse, M. A., Gollwitzer, P. M., De Ridder, D. T. D., de Wit, J. B. F., & Kroese, F. M. (2011). Breaking habits with implementation intentions: A test of underlying processes. Personality and Social Psychology Bulletin, 37, 502513. https://doi.org/10.1177/0146167211399102Google Scholar
Adriaanse, M. A., Vinkers, C. D. W., De Ridder, D. T. D., Hox, J. J., & De Wit, J. B. F. (2011). Do implementation intentions help to eat a healthy diet? A systematic review and meta-analysis of the empirical evidence. Appetite, 56, 183193. https://doi.org/10.1016/j.appet.2010.10.012Google Scholar
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179211. https://doi.org/10.1016/0749-5978(91)90020-TGoogle Scholar
Allan, J. L., Sniehotta, F. F., & Johnston, M. (2013). The best laid plans: Planning skill determines the effectiveness of action plans and implementation intentions. Annals of Behavioral Medicine. https://doi.org/10.1007/s12160-013-9483-9Google Scholar
Armitage, C. J. (2008). A volitional help sheet to encourage smoking cessation: A randomized exploratory trial. Health Psychology, 27, 557566. https://doi.org/10.1037/0278-6133.27.5.557Google Scholar
Armitage, C. J., & Conner, M. (2001). Efficacy of the theory of planned behavior: A meta-analytic review. British Journal of Social Psychology, 40, 471499. https://doi.org/10.1348/014466601164939Google Scholar
Bagozzi, R. P. (1992). The self-regulation of attitudes, intentions, and behavior. Social Psychology Quarterly, 55, 178204. https://doi.org/10.2307/2786945Google Scholar
Bandura, A. (1986). Social Foundations of Thought and Action: A Social-Cognitive Theory. Englewood Cliffs, NJ: Prentice Hall.Google Scholar
Bélanger-Gravel, A., Godin, G., & Amireault, S. (2013). A meta-analytic review of the effect of implementation intentions on physical activity. Health Psychology Review, 7, 132. https://doi.org/10.1080/17437199.2011.560095Google Scholar
Bryan, A., Fisher, J. D., & Fisher, W. A. (2002). Tests of the mediational role of preparatory safer sexual behavior in the context of the theory of planned behavior. Health Psychology, 21, 7180. https://doi.org/10.1037//0278-6133.21.1.71Google Scholar
Carraro, N., & Gaudreau, P. (2013). Spontaneous and experimentally induced action planning and coping planning for physical activity: A meta-analysis. Psychology of Sport and Exercise, 14, 228248. https://doi.org/10.1016/j.psychsport.2012.10.004Google Scholar
Chapman, J., & Armitage, C. J. (2010). Evidence that boosters augment the long-term impact of implementation intentions on fruit and vegetable intake. Psychology and Health, 25, 365381. https://doi.org/10.1080/08870440802642148Google Scholar
Churchill, S., & Jessop, D. C. (2010). Too impulsive for implementation intentions? Evidence that impulsivity moderates the effectiveness of an implementation intention intervention. Psychology and Health, 26, 114. https://doi.org/10.1080/08870441003611536Google Scholar
Conner, M., & Norman, P. (2015). Predicting Health Behaviour: Research and Practice with Social Cognition Models. Maidenhead: Open University Press.Google Scholar
de Bruijn, G. J., Gardner, B., van Osch, L., & Sniehotta, F. F. (2014). Predicting automaticity in exercise behaviour: The role of perceived behavioural control, affect, intention, action planning, and behaviour. International Journal of Behavioral Medicine, 21, 767774. https://doi.org/10.1007/s12529-013-9348-4Google Scholar
de Bruijn, G. J., Nguyen, M. H., Rhodes, R. E., & van Osch, L. (2017). Effects of preparatory and action planning instructions on situation-specific and general fruit and snack intake. Appetite, 108, 161170. https://doi.org/10.1016/j.appet.2016.09.016Google Scholar
de Vries, H., Mesters, I., van de Steeg, H., & Honing, C. (2005). The general public’s information needs and perceptions regarding hereditary cancer: An application of the integrated change model. Patient Education and Counseling, 56, 154165. https://doi.org/10.1016/j.pec.2004.01.002Google Scholar
Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior. Don Mills, NY: Addison-Wesley.Google Scholar
Fleig, L., Pomp, S., Parschau, L. et al. (2013). From intentions via planning and behavior to physical exercise habits. Psychology of Sport and Exercise, 14, 632649. https://doi.org/10.1016/j.psychsport.2013.03.006Google Scholar
Gardner, B., Phillips, L. A., & Judah, G. (2016). Habitual instigation and habitual execution: Definition, measurement, and effects on behaviour frequency. British Journal of Health Psychology, 21, 613630. https://doi.org/10.1111/bjhp.12189Google Scholar
Gollwitzer, P. M. (1990). Action phases and mind-sets. In Higgins, E. T. & Sorrentino, R. M. (Eds.), Handbook of Motivation and Cognition: Foundations of Social Behavior, Vol. 2 (pp. 5392). New York: Guilford Press.Google Scholar
Gollwitzer, P. M. (1999). Implementation intentions: Strong effects of simple plans. American Psychologist, 54, 493503. https://doi.org/10.1037/0003-066X.54.7.493Google Scholar
Gollwitzer, P. M. (2014). Weakness of the will: Is a quick fix possible? Motivation and Emotion, 38, 305322. https://doi.org/10.1007/s11031-014-9416-3Google Scholar
Gollwitzer, P. M., & Brandstatter, V. (1997). Implementation intentions and effective goal pursuit. Journal of Personality and Social Psychology, 73, 186199. https://doi.org/10.1037/0022-3514.73.1.186Google Scholar
Gollwitzer, P. M., & Sheeran, P. (2006). Implementation intentions and goal achievement: A meta-analysis of effects and processes. Advances in Experimental Social Psychology, 38, 69119. https://doi.org/10.1016/S0065-2601(06)38002–1Google Scholar
Gӧhner, w., Seelig, H., & Fuchs, R. (2009). Intervention effects on cognitive antecedents of physical exercise: A 1-year follow-up study. Applied Psychology: Health and Well-Being, 1, 233256. https://doi.org/10.1111/j.1758-0854.2009.01014.xGoogle Scholar
Hagger, M. S., & Chatzisarantis, N. L. D. (2014). An integrated behavior-change model for physical activity. Exercise and Sport Sciences Reviews, 42, 6269. https://doi.org/10.1249/JES.0000000000000008Google Scholar
Hagger, M. S., & Luszczynska, A. (2014). Implementation intention and action planning interventions in health contexts: State of the research and proposals for the way forward. Applied Psychology: Health and Well-Being, 6, 147. https://doi.org/10.1111/aphw.12017Google Scholar
Hagger, M. S., Luszczynska, A., de Wit, J. et al. (2016). Implementation intention and planning interventions in health psychology: Recommendations from the Synergy Expert Group for research and practice. Psychology and Health, 31, 814839. https://doi.org/10.1080/08870446.2016.1146719Google Scholar
Hall, P. A., & Fong, G. T. (2007). Temporal self-regulation theory: A model for individual health behavior. Health Psychology Review, 1, 652. https://doi.org/10.1080/17437190701492437Google Scholar
Harris, P. R., Brearley, I., Sheeran, P. et al. (2014). Combining self-affirmation with implementation intentions to promote fruit and vegetable consumption. Health Psychology, 33, 729736. https://doi.org/10.1037/hea0000065Google Scholar
Heckhausen, H., & Gollwitzer, P. M. (1987). Thought contents and cognitive functioning in motivational and volitional states of mind. Motivation and Emotion, 11, 101120. https://doi.org/10.1007/BF00992338Google Scholar
Knäuper, B., McCollam, A., Rosen-Brown, A., Lacaille, J., Kelso, E., & Roseman, M. (2011). Fruitful plans: Adding targeted mental imagery to implementation intentions increases fruit consumption. Psychology and Health, 26, 601617. https://doi.org/10.1080/08870441003703218Google Scholar
Kuhl, J. (1984). Motivational aspects of achievement motivation and learned helplessness: Towards a comprehensive theory of action control. In Maher, B. A. & Maher, W. B. (Eds.), Progress in Experimental Personality Research, Vol. 13 (pp. 99171). New York: Academic Press.Google Scholar
Kwasnicka, D., Presseau, J., White, M., & Sniehotta, F. F. (2013). Does planning how to cope with anticipated barriers facilitate health-related behaviour change? A systematic review. Health Psychology Review, 7, 129145. https://doi.org/10.1080/17437199.2013.766832Google Scholar
Leventhal, H., Singer, R., & Jones, S. (1965). Effects of fear and specificity of recommendation upon attitudes and behavior. Journal of Personality and Social Psychology, 2, 2029. https://doi.org/10.1037/h0022089Google Scholar
Lewin, K. (1951). Intention, will and need. In Rapaport, D. (Ed.), Organization and Pathology of Thought: Selected Sources (pp. 95153). New York: Columbia University Press.Google Scholar
Locke, E. A., & Latham, G. P. (2002). Building a practically useful theory of goal setting and task motivation. American Psychologist, 57, 705717. https://doi.org/10.1037/0003-066X.57.9.705Google Scholar
Locke, E. A., & Latham, G. P. (2006). New directions in goal setting theory. Current Directions in Psychological Science, 15, 265268. https://doi.org/10.1111/j.1467-8721.2006.00449.xGoogle Scholar
Martin, S. B., Morrow, J. R. J., Jackson, A. W., & Dunn, A. L. (2000). Variables related to meeting the CDC/ACSM physical activity guidelines. Medicine and Science in Sports and Exercise, 32, 20872092. https://doi.org/10.1097/00005768-200012000-00019Google Scholar
McEachan, R., Taylor, N., Harrison, R., Lawton, R., Gardner, P., & Conner, M. (2016). Meta-analysis of the reasoned action approach (RAA) to understanding health behaviors. Annals of Behavioral Medicine, 50, 592612. https://doi.org/10.1007/s12160-016-9798-4Google Scholar
Michie, S., Richardson, M., Johnston, M. et al. (2013). The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: Building an international consensus for the reporting of behavior change interventions. Annals of Behavioral Medicine, 46, 8195. https://doi.org/10.1007/s12160-013-9486-6Google Scholar
Napolitano, C. M., & Freund, A. M. (2016). On the use and usefulness of backup plans. Perspectives on Psychological Science, 11, 5673. https://doi.org/10.1177/1745691615596991Google Scholar
O’Donovan, G., & Shave, R. (2007). British adults’ views on the health benefits of moderate and vigorous activity. Preventive Medicine, 45, 432435. https://doi.org/10.1016/j.ypmed.2007.07.026Google Scholar
Orbell, S. (2004). Intention-behaviour relations: A self-regulation perspective. In Haddock, G. & Maio, G. R. O. (Eds.), Contemporary Perspectives on the Psychology of Attitudes (pp. 145168). London: Psychology Press.Google Scholar
Prochaska, J. O., & DiClemente, C. C. (1982). Transtheoretical therapy: Toward a more integrative model of change. Psychotherapy: Theory, Research and Practice, 19, 276288. https://doi.org/10.1037/h0088437 https://doi.org/10.1037/h0088437Google Scholar
Rhodes, R. E. (2015). Building from the cracks of our foundational physical activity theories. Paper presented at the Canadian Society for Psychomotor Learning and Sport Psychology Conference, Edmonton, Alberta, October 16–18.Google Scholar
Rhodes, R. E. (2017). The evolving understanding of physical activity behavior: A multi-process action control approach. In Elliot, A. J. (Ed.), Advances in Motivation Science, Vol. 4 (pp. 171205). Cambridge, MA: Elsevier Academic Press. https://doi.org/10.1016/bs.adms.2016.11.001Google Scholar
Rhodes, R. E., & de Bruijn, G. J. (2013a). How big is the physical activity intention-behaviour gap? A meta-analysis using the action control framework. British Journal of Health Psychology, 18, 296309. https://doi.org/10.1111/bjhp.12032Google Scholar
Rhodes, R. E., & de Bruijn, G. J. (2013b). What predicts intention-behavior discordance? A review of the action control framework. Exercise and Sports Sciences Reviews, 41, 201207. https://doi.org/10.1097/JES.0b013e3182a4e6edGoogle Scholar
Rhodes, R. E., & Rebar, A. (2017). Conceptualizing and defining the intention construct for future physical activity research. Exercise and Sports Sciences Reviews, 45, 209216. https://doi.org/10.1249/JES.0000000000000127Google Scholar
Rhodes, R. E., & Rebar, A. (2018). Physical activity habit: Complexities and controversies. In Verplanken, B. (Ed.), The Psychology of Habit (pp. 91109). Cham: Springer.Google Scholar
Rhodes, R. E., & Yao, C. (2015). Models accounting for intention-behavior discordance in the physical activity domain: A user’s guide, content overview, and review of current evidence. International Journal of Behavioral Nutrition and Physical Activity, 12, 115. https://doi.org/10.1186/s12966-015-0168-6Google Scholar
Rosenstock, I. M. (1974). Historical origins of the health belief model. Health Education Monographs, 2, 19. https://doi.org/10.1177/109019817400200403Google Scholar
Schwarzer, R. (2008). Modeling health behavior change: How to predict and modify the adoption and maintenance of health behaviors. Applied Psychology, 57, 129. https://doi.org/10.1111/j.1464-0597.2007.00325.xGoogle Scholar
Schwarzer, R. (2016). Coping planning as an intervention component: A commentary. Psychology and Health, 31, 903906. https://doi.org/10.1080/08870446.2016.1158260Google Scholar
Sheeran, P. (2002). Intention-behaviour relations: A conceptual and empirical review. In Hewstone, M. & Stroebe, W. (Eds.), European Review of Social Psychology, Vol. 12 (pp. 136). Chichester: John Wiley & Sons. https://doi.org/10.1080/14792772143000003Google Scholar
Sheeran, P., & Webb, T. L. (2016). The intention-behavior gap. Social and Personality Psychology Compass, 10, 503518. https://doi.org/10.1111/spc3.12265Google Scholar
Sniehotta, F. F. (2009). Towards a theory of intentional behaviour change: Plans, planning, and self-regulation. British Journal of Health Psychology, 14, 261273. https://doi.org/10.1348/135910708X389042Google Scholar
Sniehotta, F. F., Schwarzer, R., Scholz, U., & Schüz, B. (2005). Action planning and coping planning for long-term lifestyle change: Theory and assessment. European Journal of Social Psychology, 35, 565576. https://doi.org/10.1002/ejsp.258Google Scholar
The Telegraph. (2017). The most common New Year’s resolutions – and how to stick to them. The Telegraph, January 5. www.telegraph.co.uk/health-fitness/body/common-new-years-resolutions-stick/Google Scholar
van Osch, L., Lechner, L., Reubsaet, A., & De Vries, H. (2010). From theory to practice: An explorative study into the instrumentality and specificity of implementation intentions. Psychology and Health, 25, 351364. https://doi.org/10.1080/08870440802642155Google Scholar
Vilà, I., Carrero, I., & Redondo, R. (2017). Reducing fat intake using implementation intentions: A meta‐analytic review. British Journal of Health Psychology, 22, 281294. https://doi.org/10.1111/bjhp.12230Google Scholar
Webb, T. L., & Sheeran, P. (2006). Does changing behavioral intentions engender behavior change? A meta-analysis of the experimental evidence. Psychological Bulletin, 132, 249268. https://doi.org/10.1037/0033-2909.132.2.249Google Scholar
Wilson, B. A., Alderman, N., Burgess, P. W., Emslie, H., & Evans, J. J. (1996). Behavioural Assessment of the Dysexecutive Syndrome. Bury St Edmunds: Thames Valley Test Company.Google Scholar
Wood, W., & Runger, D. (2016). Psychology of habit. Annual Review of Psychology, 67, 111. https://doi.org/10.1146/annurev-psych-122414-033417Google Scholar

References

Adriaanse, M. A., Kroese, F. M., Gillebaart, M., & De Ridder, D. T. D. (2014). Effortless inhibition: Habit mediates the relation between self-control and unhealthy snack consumption. Frontiers in Psychology, 5, 444. https://doi.org/10.3389/fpsyg.2014.00444Google Scholar
Allom, V., Mullan, B., & Hagger, M. (2016). Does inhibitory control training improve health behaviour? A meta-analysis. Health Psychology Review, 10, 168186. https://doi.org/10.1080/17437199.2015.1051078Google Scholar
Ayduk, O., Mendoza-Denton, R., Mischel, W., Downey, G., Peake, P. K., & Rodriguez, M. (2000). Regulating the interpersonal self: Strategic self-regulation for coping with rejection sensitivity. Journal of Personality and Social Psychology, 79, 776792. https://doi.org/10.1037/0022-3514.79.5.776Google Scholar
Baumeister, R. F. (2014). Self-regulation, ego depletion, and inhibition. Neuropsychologia, 65, 313319. https://doi.org/10.1016/j.neuropsychologia.2014.08.012Google Scholar
Baumeister, R. F., Bratslavsky, E., Muraven, M., & Tice, D. M. (1998). Ego depletion: Is the active self a limited resource? Journal of Personality and Social Psychology, 74, 12521265. https://doi.org/10.1037//0022-3514.74.5.1252Google Scholar
Baumeister, R. F. & Vohs, K. D. (2016). Strength model of self-regulation as limited resource: Assessment, controversies, update. In Zanna, M. & Olson, J. (Eds.), Advances in Experimental Social Psychology, Vol. 54 (pp. 67127). Cambridge, MA: Academic Press.Google Scholar
Baumeister, R. F., Vohs, K. D., & Tice, D. M. (2007). The strength model of self-control. Current Directions in Psychological Science, 16, 351355. https://doi.org/10.1111/j.1467-8721.2007.00534.xGoogle Scholar
Beames, J. R., Schofield, T. P., & Denson, T. F. (2018). A meta-analysis of improving self-control with practice. In de Ridder, D. T. D., Adriaanse, M. A., & Fujita, K. (Eds.), Routledge International Handbook of Self-Control in Health and Well-Being (pp. 405417). Abingdon: Routledge. https://doi.org/10.4324/9781315648576-32Google Scholar
Berkman, E. T. (2018). Self-regulation training. In Vohs, K. D. & Baumeister, R. F. (Eds.), Handbook of Self-Regulation: Research, Theory and Applications (3rd ed., pp. 440457). New York: Guilford Press.Google Scholar
Cheung, T. T., Gillebaart, M., Kroese, F. M., & De Ridder, D. T. D. (2014). Why are people with high self-control happier? The effect of trait self-control on happiness as mediated by regulatory focus. Frontiers in Psychology, 5, 722. https://doi.org/10.3389/fpsyg.2014.00722Google Scholar
De Houwer, J. (2011). Why the cognitive approach in psychology would profit from a functional approach and vice versa. Perspectives on Psychological Science, 6, 202209. https://doi.org/10.1177/1745691611400238Google Scholar
De Ridder, D. T. D., Kroese, F. M., & Gillebaart, M. (2018). Whatever happened to self-control? A proposal for integrating notions from trait self-control studies into state self-control research. Motivation Science, 4, 3949. https://doi.org/10.1037/mot0000062Google Scholar
De Ridder, D. T. D., Lensvelt-Mulders, G., Finkenauer, C., Stok, F. M., & Baumeister, R. F. (2012). Taking stock of self-control: A meta-analysis of how trait self-control relates to a wide range of behaviors. Personality and Social Psychology Review, 16, 7699. https://doi.org/10.1177/1088868311418749Google Scholar
De Ridder, D. T. D., Van der Weiden, A., Gillebaart, M., Benjamins, J. S., & Ybema, J. F. (2019). Just do it: Engaging in self-control on a daily basis improves the capacity for self-control. Manuscript under review.Google Scholar
Diamond, A., & Lee, K. (2011). Interventions shown to aid executive function development in children 4 to 12 years old. Science, 333, 959964. https://doi.org/10.1126/science.1204529Google Scholar
Donders, F. C. (1969). On the speed of mental processes. Acta Psychologica, 30, 412431. https://doi.org/10.1016/0001-6918(69)90065–1Google Scholar
Duckworth, A. L., Gendler, T. S., & Gross, J. J. (2016). Situational strategies for self-control. Perspectives on Psychological Science, 11, 3555. https://doi.org/10.1177/1745691615623247Google Scholar
Duckworth, A. L., Matthews, M. D., & Kelly, D. R. (2007). Grit: Perseverance and passion for long-term goals. Journal of Personality and Social Psychology, 92, 10871101. https://doi.org/10.1037/0022-3514.92.6.1087Google Scholar
Ent, M. R., Baumeister, R. F., & Tice, D. M. (2015). Trait self-control and the avoidance of temptation. Personality and Individual Differences, 74, 1215. https://doi.org/10.1016/j.paid.2014.09.031Google Scholar
Finkel, E. J., DeWall, C. N., Slotter, E. B., Oaten, M., & Foshee, V. A. (2009). Self-regulatory failure and intimate partner violence perpetration. Journal of Personality and Social Psychology, 97, 483499. https://doi.org/10.1037/a0015433Google Scholar
Friese, M., Frankenbach, J., Job, V., & Loschelder, D. D. (2017). Does self-control training improve self-control? A meta-analysis. Perspectives on Psychological Science, 12, 10771099. https://doi.org/10.1177/1745691617697076Google Scholar
Friese, M., Hofmann, W., & Wiers, R. W. (2011). On taming horses and strengthening riders: Recent developments in research on interventions to improve self-control in health behaviors. Self and Identity, 10, 336351. https://doi.org/10.1080/15298868.2010.536417Google Scholar
Friese, M., Loschelder, D. D., Gieseler, K., Frankenbach, J., & Inzlicht, M. (2019). Is ego depletion real? An analysis of arguments. Personality and Social Psychology Review, 23, 107131. https://doi.org/10.1177/1088868318762183Google Scholar
Fujita, K. (2011). On conceptualizing self-control as more than the effortful inhibition of impulses. Personality and Social Psychology Review, 15, 352366. https://doi.org/10.1177/1088868311411165Google Scholar
Galla, B. M., & Duckworth, A. L. (2015). More than resisting temptation: Beneficial habits mediate the relationship between self-control and positive life outcomes. Journal of Personality and Social Psychology, 109, 508525. https://doi.org/10.1037/pspp0000026Google Scholar
Gieseler, K., Loschelder, D. D., & Friese, M. (2019). What makes for a good theory? How to evaluate a theory using the Strength Model of Self-Control as an example. In Sassenberg, K. & Vliek, M. (Eds.), Social Psychology in Action: Evidence-Based Interventions from Theory to Practice (pp. 322). Heidelberg: Springer.Google Scholar
Gillebaart, M., & Adriaanse, M.A. (2017). Self-control predicts exercise behavior by force of habit, a conceptual replication of Adriaanse et al. (2014). Frontiers in Psychology, 8, 190. https://doi.org/10.3389/fpsyg.2017.00190Google Scholar
Gillebaart, M., Benjamins, J. S. Van der Weiden, A., Ybema, J. F., & De Ridder, D. T. D. (2019). Practice makes perfect: Repeatedly dealing with response conflicts facilitates its identification and speed of resolution. Manuscript under review.Google Scholar
Gillebaart, M., & De Ridder, D. T. D. (2015). Effortless self‐control: A novel perspective on response conflict strategies in trait self‐control. Social and Personality Psychology Compass, 9, 8899. https://doi.org/10.1111/spc3.12160Google Scholar
Hofmann, W., Baumeister, R. F., Förster, G., & Vohs, K. D. (2012). Everyday temptations: An experience sampling study of desire, conflict, and self-control. Journal of Personality and Social Psychology, 102, 13181335. https://doi.org/10.1037/a0026545Google Scholar
Hofmann, W., Friese, M., & Strack, F. (2009). Impulse and self-control from a dual-systems perspective. Perspectives on Psychological Science, 4, 162176. https://doi.org/10.1111/j.1745-6924.2009.01116.xGoogle Scholar
Hofmann, W., Luhmann, M., Fisher, R. R., Vohs, K. D., & Baumeister, R. F. (2014). Yes, but are they happy? Effects of trait self‐control on affective well‐being and life satisfaction. Journal of Personality, 82, 265277. https://doi.org/10.1111/jopy.12050Google Scholar
Hofmann, W., Schmeichel, B. J., & Baddeley, A. D. (2012). Executive functions and self-regulation. Trends in Cognitive Sciences, 16, 174180. https://doi.org/10.1016/j.tics.2012.01.006Google Scholar
Hofmann, W., Vohs, K. D., & Baumeister, R. F. (2012). What people desire, feel conflicted about, and try to resist in everyday life. Psychological Science, 23, 582588. https://doi.org/10.1177/0956797612437426Google Scholar
Houben, K., Nederkoorn, C., Wiers, R. W., & Jansen, A. (2011). Resisting temptation: Decreasing alcohol-related affect and drinking behavior by training response inhibition. Drug and Alcohol Dependency, 116, 132136. https://doi.org/10.1016/j.drugalcdep.2010.12.011Google Scholar
Inzlicht, M., & Friese, M. (2019). The past, present, and future of ego depletion. Social Psychology, 50, 370378. https://doi.org/10.1027/1864-9335/a000398Google Scholar
Inzlicht, M., Legault, L., & Teper, R. (2014). Exploring the mechanisms of self-control improvement. Current Directions in Psychological Science, 23, 302307. https://doi.org/10.1177/0963721414534256Google Scholar
Job, V., Friese, M., & Bernecker, K. (2015). Effects of practicing self-control on academic performance. Motivation Science, 1, 219232. https://doi.org/10.1037/mot0000024Google Scholar
Jones, A., & Field, M. (2013). The effects of cue-specific inhibition training on alcohol consumption in heavy social drinkers. Experimental Clinical Psychopharmacology, 21, 816. https://doi.org/10.1037/a0030683Google Scholar
Jones, A., Di Lemma, L. C., Robinson, E. et al. (2016). Inhibitory control training for appetitive behavior change: A meta-analytic investigation of mechanisms of action and moderators of effectiveness. Appetite, 97, 1628. https://doi.org/10.1016/j.appet.2015.11.013Google Scholar
Jones, A., McGrath, E., Robinson, E., Houben, K., Nederkoorn, C., & Field, M. (2018). A randomized controlled trial of inhibitory control training for the reduction of alcohol consumption in problem drinkers. Journal of Consulting and Clinical Psychology, 86, 9911004. https://doi.org/10.1037/ccp0000312Google Scholar
Lappin, J. S., & Eriksen, C. W. (1966). Use of a delayed signal to stop a visual reaction-time response. Journal of Experimental Psychology, 72, 805811. https://doi.org/10.1037/h0021266Google Scholar
Lawrence, N. S., Verbruggen, F., Morrison, S., Adams, R. C., & Chambers, C. D. (2015). Stopping to food can reduce intake: Effects of stimulus-specificity and individual differences in dietary restraint. Appetite, 85, 91103. https://doi.org/10.1016/j.appet.2014.11.006Google Scholar
Miles, E., Sheeran, P., Baird, H., Macdonald, I., Webb, T. L., & Harris, P. R. (2016). Does self-control improve with practice? Evidence from a six-week training program. Journal of Experimental Psychology: General, 145, 10751091. https://doi.org/10.1037/xge0000185Google Scholar
Mischel, W., Shoda, Y., & Rodriguez, M. I. (1989). Delay of gratification in children. Science, 244, 933938. https://doi.org/10.1126/science.2658056Google Scholar
Moffitt, T. E., Arseneault, L., Belsky, D. et al. (2011). A gradient of childhood self-control predicts health, wealth, and public safety. Proceedings of the National Academy of Sciences, 108, 26932698. https://doi.org/10.1073/pnas.1010076108Google Scholar
Muraven, M., Baumeister, R. F., & Tice, D. M. (1999). Longitudinal improvement of self-regulation through practice: Building self-control strength through repeated exercise. The Journal of Social Psychology, 139, 446457. https://doi.org/10.1080/00224549909598404Google Scholar
Prinsen, S., Evers, C., Wijngaards, L., Van Vliet, R., & De Ridder, D. T. D. (2018). Does self-licensing benefit self-regulation over time? An ecological momentary assessment study of food temptations. Personality and Social Psychology Bulletin, 44, 914927. https://doi.org/10.1177/0146167218754509Google Scholar
Richard, F. D., Bond, C. F., & Stokes-Zoota, J. J. (2003). One hundred years of social psychology quantitatively described. Review of General Psychology, 7, 331363. https://doi.org/10.1037/1089-2680.7.4.331Google Scholar
Savani, K., & Job, V. (2017). Reverse ego-depletion: Acts of self-control can improve subsequent performance in Indian cultural contexts. Journal of Personality and Social Psychology, 113, 589607. https://doi.org/10.1037/pspi0000099Google Scholar
Tangney, J. P., Baumeister, R. F., & Boone, A. L. (2004). High self-control predicts good adjustment, less pathology, better grades, and interpersonal success. Journal of Personality, 72, 271324. https://doi.org/10.1111/j.0022-3506.2004.00263.xGoogle Scholar
Trope, Y., & Fishbach, A. (2000). Counteractive self-control in overcoming temptation. Journal of Personality and Social Psychology, 79, 493506. https://doi.org/10.1037//0022-3514.79.4.493Google Scholar
Veling, H., Aarts, H., & Papies, E. K. (2011). Using stop signals to inhibit chronic dieters’ responses toward palatable foods. Behaviour Research and Therapy, 49, 771780. https://doi.org/10.1016/j.brat.2011.08.005Google Scholar
Veling, H., Lawrence, N. S., Chen, Z., Van Koningsbruggen, G. M., & Holland, R. W. (2017). What is trained during food go/no-go training? A review focusing on mechanisms and a research agenda. Current Addiction Reports, 4, 3541. https://doi.org/10.1007/s40429-017-0131-5Google Scholar
Verplanken, B., & Orbell, S. (2003). Reflections on past behavior: A self‐report index of habit strength. Journal of Applied Social Psychology, 33, 13131330. https://doi.org/10.1111/j.1559-1816.2003.tb01951.xGoogle Scholar
Wang, J., Raoa, Y., & Houserb, D. E. (2017). An experimental analysis of acquired impulse control among adult humans intolerant to alcohol. Proceedings of the National Academy of Sciences, 114, 12991304. https://doi.org/10.1073/pnas.1610902114Google Scholar
Watts, T. W., Duncan, G. J., & Quan, H. (2018). Revisiting the Marshmallow Test: A conceptual replication investigating links between early gratification delay and later outcomes. Psychological Science, 29, 11591177. https://doi.org/10.1177/0956797618761661Google Scholar
Wiers, R. W., Rinck, M., Kordts, R., Houben, K., & Strack, F. (2010). Retraining automatic action‐tendencies to approach alcohol in hazardous drinkers. Addiction, 105, 279287. https://doi.org/10.1111/j.1360-0443.2009.02775.xGoogle Scholar

References

Aunger, R. (2007). Tooth brushing as routine behaviour. International Dental Journal, 57, 364376. https://doi.org/10.1111/j.1875-595X.2007.tb00163.xGoogle Scholar
Beeken, R. J., Croker, H., Morris, S. et al. (2012). Study protocol for the 10 Top Tips (10TT) Trial: Randomised controlled trial of habit-based advice for weight control in general practice. BMC Public Health, 12, 667. https://doi.org/10.1186/1471-2458-12-667Google Scholar
Beeken, R. J., Leurent, B., Vickerstaff, V. et al. (2017). A brief intervention for weight control based on habit-formation theory delivered through primary care: Results from a randomised controlled trial. International Journal of Obesity, 41, 246254. https://doi.org/10.1038/ijo.2016.206Google Scholar
Carver, C. S., & Scheier, M. F. (1982). Control theory: A useful conceptual framework for personality–social, clinical, and health psychology. Psychological Bulletin, 92, 111135. https://doi.org/10.1037/0033-2909.92.1.111Google Scholar
Danner, U. N., Aarts, H., & de Vries, N. K. (2008). Habit vs. intention in the prediction of future behaviour: The role of frequency, context stability and mental accessibility of past behaviour. British Journal of Social Psychology, 47, 245265. https://doi.org/10.1348/014466607X230876Google Scholar
De Houwer, J., Thomas, S., & Baeyens, F. (2001). Associative learning of likes and dislikes: A review of 20 years of research on human evaluative conditioning. Psychological Bulletin, 127, 853869. http://dx.doi.org/10.1037/0033-2909.127.6.853Google Scholar
De Ridder, D. T. D., Lensvelt-Mulders, G., Finkenauer, C., Stok, F. M., & Baumeister, R. F. (2012). Taking stock of self-control: A meta-analysis of how trait self-control relates to a wide range of behaviors. Personality and Social Psychology Review, 16, 7699. https://doi.org/10.1177/1088868311418749Google Scholar
Fleig, L., Pomp, S., Parschau, L. et al. (2013). From intentions via planning and behavior to physical exercise habits. Psychology of Sport and Exercise, 14, 632639. https://doi.org/10.1016/j.psychsport.2013.03.006Google Scholar
Fournier, M., d’Arripe-Longueville, F., & Radel, R. (2017). Testing the effect of text messaging cues to promote physical activity habits: A worksite-based exploratory intervention. Scandinavian Journal of Medicine and Science in Sports, 27, 11571165. https://doi.org/10.1111/sms.12730Google Scholar
Gardner, B. (2015). A review and analysis of the use of “habit” in understanding, predicting and influencing health-related behaviour. Health Psychology Review, 9, 277295. https://doi.org/10.1080/17437199.2013.876238Google Scholar
Gardner, B. (2019). Habit interventions: A guide to using habit to change behaviour. OSF. https://doi.org/10.17605/OSF.IO/SVHXCGoogle Scholar
Gardner, B., & Lally, P. (2018). Modelling habit formation and its determinants. In Verplanken, B. (Ed.), The Psychology of Habit (pp. 207230). Cham: Springer.Google Scholar
Gardner, B., Lally, P., & Wardle, J. (2012). Making health habitual: The psychology of “habit-formation” and general practice. British Journal of General Practice, 62, 664666. https://doi.org/10.3399/bjgp12X659466Google Scholar
Gardner, B., Phillips, L., & Judah, G. (2016). Habitual instigation and habitual execution: Definition, measurement, and effects on behaviour frequency. British Journal of Health Psychology, 21, 613630. https://doi.org/10.1111/bjhp.12189Google Scholar
Gardner, B., & Rebar, A. (2019). Habit and behaviour change. Oxford Research Encyclopedia. https://doi.org/10.1093/acrefore/9780190236557.013.129Google Scholar
Gardner, B., Sheals, K., Wardle, J., & McGowan, L. (2014). Putting habit into practice, and practice into habit: A process evaluation and exploration of the acceptability of a habit-based dietary behaviour change intervention. International Journal of Behavioral Nutrition and Physical Activity, 11, 135147. https://doi.org/10.1186/s12966-014-0135-7Google Scholar
Gardner, B., Thune-Boyle, I., Iliffe, S. et al. (2014). “On Your Feet to Earn Your Seat”: A habit-based intervention to reduce sedentary behaviour in older adults: Study protocol for a randomized controlled trial. Trials, 15. https://doi.org/10.1186/1745-6215-15-368Google Scholar
Gollwitzer, P. M. (1999). Implementation intentions: Strong effects of simple plans. American Psychologist, 54, 493503. https://dx.doi.org/10.1037/0003-066X.54.7.493Google Scholar
Hagger, M. S., Rebar, A. L., Mullan, B., Lipp, O. V., & Chatzisarantis, N. L. D. (2015). The subjective experience of habit captured by self-report indexes may lead to inaccuracies in the measurement of habitual action. Health Psychology Review, 9, 296302. https://doi.org/10.1080/17437199.2014.959728Google Scholar
Hamilton, K., Fraser, E., & Hannan, T. (2019). Habit-based workplace physical activity intervention: A pilot study. Occupational Medicine, 69, 471474. https://doi.org/10.1093/occmed/kqz119Google Scholar
Holland, R. W., Aarts, H., & Langendam, D. (2006). Breaking and creating habits on the working floor: A field-experiment on the power of implementation intentions. Journal of Experimental Social Psychology, 42, 776783. https://doi.org/10.1016/j.jesp.2005.11.006Google Scholar
Kliemann, N., Vickerstaff, V., Croker, H., Johnson, F., Nazareth, I., & Beeken, R. J. (2017). The role of self-regulatory skills and automaticity on the effectiveness of a brief weight loss habit-based intervention: Secondary analysis of the 10 top tips randomised trial. International Journal of Behavioral Nutrition and Physical Activity, 14, 119. https://doi.org/10.1186/s12966-017-0578-8Google Scholar
Klöckner, C. A., & Oppedal, I. O. (2011). General vs. domain specific recycling behaviour: Applying a multilevel comprehensive action determination model to recycling in Norwegian student homes. Resources, Conservation and Recycling, 55, 463471. https://doi.org/10.1016/j.resconrec.2010.12.009Google Scholar
Lally, P., Chipperfield, A., & Wardle, J. (2008). Healthy habits: Efficacy of simple advice on weight control based on a habit-formation model. International Journal of Obesity, 32, 700707. https://doi.org/10.1038/sj.ijo.0803771Google Scholar
Lally, P., & Gardner, B. (2013). Promoting habit formation. Health Psychology Review, 7(Suppl 1), S137S158. http://dx.doi.org/10.1080/17437199.2011.603640Google Scholar
Lally, P., Van Jaarsveld, C. H., Potts, H. W., & Wardle, J. (2010). How are habits formed: Modelling habit formation in the real world. European Journal of Social Psychology, 40, 9981009. https://doi.org/10.1002/ejsp.674Google Scholar
Lally, P., Wardle, J., & Gardner, B. (2011). Experiences of habit formation: A qualitative study. Psychology, Health and Medicine, 16, 484489. https://doi.org/10.1080/13548506.2011.555774Google Scholar
Locke, E., & Latham, G. (2002). Building a practically useful theory of goal setting and task motivation: A 35-year odyssey. American Psychologist, 57, 705717. http://dx.doi.org/10.1037/0003-066X.57.9.705Google Scholar
Matei, R., Thuné-Boyle, I., Hamer, M. et al. (2015). Acceptability of a theory-based sedentary behaviour reduction intervention for older adults (“On Your Feet to Earn Your Seat”). BMC Public Health, 15, 606. https://doi.org/10.1186/s12889-015-1921-0Google Scholar
McDaniel, M. A., & Einstein, G. O. (2000). Strategic and automatic processes in prospective memory retrieval: A multiprocess framework. Applied Cognitive Psychology, 14, S127S144. https://doi.org/10.1002/acp.775Google Scholar
McGowan, L., Cooke, L. J., Gardner, B., Beeken, R. J., Croker, H., & Wardle, J. (2013). Healthy feeding habits: Efficacy results from a cluster-randomized, controlled exploratory trial of a novel, habit-based intervention with parents. The American Journal of Clinical Nutrition, 98, 769777. https://doi.org/10.3945/ajcn.112.052159Google Scholar
Michie, S., Ashford, S., Sniehotta, F. F., Dombrowski, S. U., Bishop, A., & French, D. P. (2011). A refined taxonomy of behaviour change techniques to help people change their physical activity and healthy eating behaviours: The CALO-RE taxonomy. Psychology and Health, 26, 14791498. http://dx.doi.org/10.1080/08870446.2010.540664Google Scholar
Michie, S., Richardson, M., Johnston, M. et al. (2013). The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: Building an international consensus for the reporting of behavior change interventions. Annals of Behavioral Medicine, 46, 8195. http://dx.doi.org/10.1007/s12160-013-9486-6Google Scholar
Moors, A., & De Houwer, J. (2006). Automaticity: A theoretical and conceptual analysis. Psychological Bulletin, 132, 297326. http://dx.doi.org/10.1037/0033-2909.132.2.297Google Scholar
Mullan, B., & Novoradovskaya, L. (2018). Habit mechanisms and behavioural complexity. In Verplanken, B. (Ed.), The Psychology of Habit (pp. 7090). Cham: Springer.Google Scholar
Orbell, S., & Verplanken, B. (2015). The strength of habit. Health Psychology Review, 9, 311317. https://doi.org/10.1080/17437199.2014.992031Google Scholar
Quinn, J. M., Pascoe, A., Wood, W., & Neal, D. T. (2010). Can’t control yourself? Monitor those bad habits. Personality and Social Psychology Bulletin, 36, 499511. https://doi.org/10.1177/0146167209360665Google Scholar
Radel, R., Pelletier, L., Pjevac, D., & Cheval, B. (2017). The links between self-determined motivations and behavioral automaticity in a variety of real-life behaviors. Motivation and Emotion, 41, 443454. http://dx.doi.org/10.1007/s11031-017-9618-6Google Scholar
Rebar, A. L. (2017). Automatic regulation used in sport and exercise research. In Braddick, O. (Ed.), Oxford Research Encyclopedia of Psychology. New York: Oxford University Press. https://doi.org/10.1093/acrefore/9780190236557.013.231Google Scholar
Ryan, R. M., & Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55, 6878. http://dx.doi.org/10.1037/0003-066X.55.1.68Google Scholar
Sniehotta, F. F., & Presseau, J. (2012). The habitual use of the self-report habit index. Annals of Behavioral Medicine, 43, 139140. https://doi.org/10.1007/s12160-011-9305-x.Google Scholar
Thaler, R. H., & Sunstein, C. R. (2008). Nudge: Improving Decisions About Health, Wealth and Happiness. London: Yale University Press.Google Scholar
Tsai, A. G., & Wadden, T. A. (2005). An evaluation of major commercial weight loss programs in the United States. Annals of Internal Medicine, 142, 5666. https://doi.org/10.7326/0003-4819-142-1-200501040-00012Google Scholar
Verhoeven, A. A., Adriaanse, M. A., de Vet, E., Fennis, B. M., & De Ridder, D. T. (2014). Identifying the “if” for “if-then” plans: Combining implementation intentions with cue-monitoring targeting unhealthy snacking behaviour. Psychology and Health, 29, 14761492. https://doi.org/10.1080/08870446.2014.950658Google Scholar
Verplanken, B., & Orbell, S. (2003). Reflections on past behavior: A self-report index of habit strength. Journal of Applied Social Psychology, 33, 13131330. https://doi.org/10.1111/j.1559-1816.2003.tb01951.xGoogle Scholar
Verplanken, B., Roy, D., & Whitmarsh, L. (2018). Cracks in the wall: Habit discontinuities as vehicles for behaviour change. In Verplanken, B. (Ed.), The Psychology of Habit (pp. 189206). Cham: Springer.Google Scholar
Verplanken, B., & Roy, D. (2016). Empowering interventions to promote sustainable lifestyles: Testing the habit discontinuity hypothesis in a field experiment. Journal of Environmental Psychology, 45, 127134. https://doi.org/10.1016/j.jenvp.2015.11.008Google Scholar
Walker, I., Thomas, G. O., & Verplanken, B. (2015). Old habits die hard: Travel habit formation and decay during an office relocation. Environment and Behavior, 47, 10891106. https://doi.org/10.1177/0013916514549619Google Scholar
West, R., & Brown, J. (2013). Theory of Addiction (2nd ed.). Oxford: Wiley-Blackwell.Google Scholar
White, I., Smith, L., Aggio, D. et al. (2017). On your feet to earn your seat: Pilot RCT of a theory-based sedentary behaviour reduction intervention for older adults. Pilot and Feasibility Studies, 3, 23.Google Scholar

References

Abrahamse, W., Steg, L., Vlek, C., & Rothengatter, T. (2005). A review of intervention studies aimed at household energy conservation. Journal of Environmental Psychology, 25, 273291. https://doi.org/10.1016/j.jenvp.2005.08.002Google Scholar
Aronson, E. (1969). The theory of cognitive dissonance: A current perspective. In Berkowitz, L. (Ed.), Advances in Experimental Social Psychology, Vol. 4 (pp. 134). New York: Academic Press.Google Scholar
Arshad, A., Anderson, B., & Sharif, A. (2019). Comparison of organ donation and transplantation rates between opt-out and opt-in systems. Kidney International, 95, 14531460. https://doi.org/10.1016/j.kint.2019.01.036Google Scholar
Barnes, A. P., Toma, L., Willock, J., & Hall, C. (2013). Comparing a “budge” to a “nudge”: Farmer responses to voluntary and compulsory compliance in a water quality management regime. Journal of Rural Studies, 32, 448459. https://doi.org/10.1016/j.jrurstud.2012.09.006Google Scholar
Basu, S., & Madsen, K. (2017). Effectiveness and equity of sugar-sweetened beverage taxation. PLoS Medicine, 14, e1002327. https://doi.org/10.1371/journal.pmed.1002327Google Scholar
Bates, C. (2009). Scaling new heights: Piano stairway encourages commuters to ditch the escalators, Daily Mail, April 4. www.dailymail.co.uk/sciencetech/article-1218944/Scaling-new-heights-Piano-stairway-encourages-commuters-ditch-escalators.html.Google Scholar
Becker, G. S., & Becker, G. S. (2009). A Treatise on the Family. Cambridge, MA: Harvard University Press.Google Scholar
Behavioural Insights Team. (2010). Applying behavioural insight to health. Discussion Paper, Cabinet Office Behavioural Insights, London. https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/60524/403936_BehaviouralInsight_acc.pdfGoogle Scholar
Benartzi, S., & Thaler, R. H. (2013). Behavioral economics and the retirement savings crisis. Science, 339, 1152–1153. https://doi.org/10.1126/science.1231320Google Scholar
BETA (Behavioural Economics Team of Australian Government). (2019). Impact Report, April. https://behaviouraleconomics.pmc.gov.au/sites/default/files/resources/impact-report.pdf Brown, P. M., Cameron, L. D., & Ramondt, S. (2015). Sustainability of behavioral interventions: Beyond cost-effectiveness analysis. International Journal of Behavioral Medicine, 22, 425433. https://doi.org/10.1007/s12529-014–9437-zGoogle Scholar
Calamia, J. (2010). Speed bumps of the future: Creepy optical illusion children. Discovery Magazine, April 4. http://blogs.discovermagazine.com/discoblog/2010/09/07/speed-bumps-of-the-future-creepy-optical-illusion-children/Google Scholar
Chaiken, S., & Trope, Y. (Eds.). (1999). Dual-Process Theories in Social Psychology. New York: Guilford Press.Google Scholar
Congdon, W. J., & Shankar, M. (2018). The role of behavioral economics in evidence-based policymaking. The Annals of the American Academy of Political and Social Science, 678, 8192. https://doi.org/10.1177/0002716218766268Google Scholar
Correia, C. J. (2004). Behavioral economics: Basic concepts and clinical applications. In Cox, M. & Klinger, E. (Eds.), Handbook of Motivational Counseling: Goal‐Based Approaches to Assessment and Intervention with Addiction and Other Problems (pp. 4972). Chichester: Wiley.Google Scholar
Datta, S., & Mullainathan, S. (2014). Behavioral design: A new approach to development policy. Review of Income and Wealth, 60, 735. https://doi.org/10.1111/roiw.12093Google Scholar
Deaton, A., & Muellbauer, J. (1980). Economics and Consumer Behavior. Cambridge: Cambridge University Press.Google Scholar
Dhami, S. (2016). The Foundations of Behavioral Economic Analysis. Oxford: Oxford University Press.Google Scholar
Dolan, P., Hallsworth, M., Halpern, D., King, D., Metcalfe, R., & Vlaev, I. (2012). Influencing behaviour: The mindspace way. Journal of Economic Psychology, 33, 264277. https://doi.org/10.1016/j.joep.2011.10.009Google Scholar
English, V., Johnson, E., Sadler, B. L., & Sadler, A. M. (2019). Is an opt-out system likely to increase organ donation? BMJ, 364, 1967. https://doi.org/10.1136/bmj.l967Google Scholar
Frey, B. (1997). Not Just for the Money: An Economic Theory of Personal Motivation. Cheltenham: Edward Elgar.Google Scholar
Friedman, M., & Friedman, M. (1953). Essays in Positive Economics. Chicago: University of Chicago Press.Google Scholar
Galizzi, M. M. (2012). Label, nudge or tax? A review of health policies for risky behaviours. Journal of Public Health Research, 1, 14. https://doi.org/10.4081/jphr.2012.e5Google Scholar
Giles, E. L., Robalino, S., McColl, E., Sniehotta, F. F., & Adams, J. (2014). The effectiveness of financial incentives for health behaviour change: Systematic review and meta-analysis. PLoS ONE, 9, e90347. https://doi.org/10.1371/journal.pone.0090347Google Scholar
Gilovich, T., Griffin, D., & Kahneman, D. (Eds.). (2002). Heuristics and Biases: The Psychology of Intuitive Judgment. Cambridge: Cambridge University Press.Google Scholar
Glasgow, R., Vogt, T., & Boles, S. (1999). Evaluating the public health impact of health promotion interventions: The RE-AIM framework. American Journal of Public Health, 89, 13221327. https://doi.org/10.2105/AJPH.89.9.1322Google Scholar
Hanoch, Y., Barnes, A., & Rice, T. (Eds.). (2017). Behavioral Economics and Healthy Behaviors: Key Concepts and Current Research. New York: Routledge.Google Scholar
Heshmat, S. (2006). Applying behavioral economics to changing health behavior: The case of weight-loss management. Californian Journal of Health Promotion, 4, 2129.Google Scholar
Hollands, G. J., Marteau, T. M., & Fletcher, P. C. (2016). Non-conscious processes in changing health-related behaviour: A conceptual analysis and framework. Health Psychology Review, 10, 381394. https://doi.org/10.1080/17437199.2015.1138093Google Scholar
Kahneman, D. (2011). Thinking, Fast and Slow. New York: Farrar, Straus, and Giroux.Google Scholar
Kahneman, D., & Tversky, A. (2001). Choices, Values, and Frames. Cambridge: Cambridge University Press.Google Scholar
King, D., Greaves, F., Vlaev, I., & Darzi, A. (2013). Approaches based on behavioral economics could help nudge patients and providers toward lower health spending growth. Health Affairs, 32, 661668. https://doi.org/10.1377/hlthaff.2012.1348Google Scholar
Krajbich, I., Bartling, B., Hare, T., & Fehr, E. (2015). Rethinking fast and slow based on a critique of reaction-time reverse inference. Nature Communications, 6, 7455. https://doi.org/10.1038/ncomms8455Google Scholar
Li, M., & Chapman, G. B. (2013). Nudge to health: Harnessing decision research to promote health behavior. Social and Personality Psychology Compass, 7, 187198. https://doi.org/10.1111/spc3.12019Google Scholar
Libotte, E., Siegrist, M., & Bucher, T. (2014). The influence of plate size on meal composition: Literature review and experiment. Appetite, 82, 9196. https://doi.org/10.1016/j.appet.2014.07.010Google Scholar
Lim, D., Slemrod, J., & Wilking, E. (2013). Expert and public attitudes towards tax policy: 2013, 1994, and 1934. National Tax Journal, 66, 775806. https://doi.org/10.17310/ntj.2013.4.01Google Scholar
Lin, Y., Osman, M., & Ashcroft, R. (2017). Nudge: Concept, effectiveness, and ethics. Basic and Applied Social Psychology, 39, 293306. https://doi.org/10.1080/01973533.2017.1356304Google Scholar
Lourenço, J. S., Ciriolo, E., Almeida, S. R., & Dessart, F. J. (2016). Behavioural Insights Applied to Policy-Country Overviews 2016 (No. JRC100547), June 16. Joint Research Centre (Seville site), European Commission. https://publications.jrc.ec.europa.eu/repository/bitstream/JRC100547/biap%20country%20overviews%202016.pdfGoogle Scholar
Luoto, J., & Carman, K. G. (2014). Behavioral economics guidelines with applications for health interventions. Technical Note No. IDB-TN-665, March, Inter-American Development Bank.https://publications.iadb.org/en/publication/12074/behavioral-economics-guidelines-applications-health-interventionsGoogle Scholar
Ly, K., Mazar, N., Zhao, M., & Soman, D. (2013). A practitioner’s guide to nudging. Working Paper No. 2609347, Rotman School of Management. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2609347Google Scholar
Markham, D. (2014). Could a giant musical cigarette butt reduce cigarette litter? TreeHugger, April 4. www.treehugger.com/gadgets/could-giant-musical-cigarette-butt-reduce-cigarette-litter.htmlGoogle Scholar
Marteau, T. M., Ogilvie, D., Roland, M., Suhrcke, M., & Kelly, M. P. (2011). Judging nudging: Can nudging improve population health? BMJ, 342, 228. https://doi.org/10.1136/bmj.d228Google Scholar
Michie, S., van Straalen, M., & West, R. (2011). The behaviour change wheel: A new method for characterizing and designing behaviour change interventions. Implementation Science, 6, 42. https://doi.org/10.1186/1748-5908Google Scholar
Moseley, A., & Stoker, G. (2013). Nudging citizens? Prospects and pitfalls confronting a new heuristic. Resources, Conservation and Recycling, 79, 410. https://doi.org/10.1016/j.resconrec.2013.04.008Google Scholar
Mozaffarian, D., Hemenway, D., & Ludwig, D. S. (2013). Curbing gun violence: Lessons from public health successes. Journal of the American Medical Association, 309, 551552. https://doi.org/10.1001/jama.2013.38Google Scholar
OECD (Organisation for Economic Co-operation and Development). (2019). Delivering Better Policies Through Behavioural Insights: New Approaches. Paris: OECD Publishing. https://doi.org/10.1787/6c9291e2-enGoogle Scholar
Pinto, D. M., Ibarrarán, P., Stampini, M. et al. (2014). Applying behavioral tools to the design of health projects. Policy Brief No. IDB-PB-228, July, Inter-American Development Bank. https://publications.iadb.org/en/applying-behavioral-tools-design-health-projectsGoogle Scholar
Purnell, J., Thompson, T., Kreuter, M., & McBride, T. (2015). Behavioral economics: “Nudging” underserved populations to be screened for cancer. Preventing Chronic Disease, 12: 140346. https://doi.org/10.5888/pcd12.140346Google Scholar
Rice, T. (2013). The behavioral economics of health and health care. Annual Review of Public Health, 34, 431447. https://doi.org/10.1146/annurev-publhealth-031912-114353Google Scholar
Richburg-Hayes, L., Anzelone, C., Dechausay, N. et al. (2014). Behavioral economics and social policy: Designing innovative solutions for programs supported by the Administration for Children and Families. Office of Planning, Research and Evaluation, Administration for Children and Families, US Department of Health and Human Services. www.acf.hhs.gov/opre/resource/behavioral-economics-and-social-policy-designing-innovative-solutions-for-programs-supported-by-the-administration-forGoogle Scholar
Roberto, C. A., & Kawachi, I. (Eds.). (2015). Behavioral Economics and Public Health. Oxford: Oxford University Press.Google Scholar
Rozin, P., Scott, S., Dingley, M., Urbanek, J. K., Jiang, H., & Kaltenbach, M. (2011). Nudge to obesity I: Minor changes in accessibility decrease food intake. Judgment and Decision Making, 6, 323332.Google Scholar
Szaszi, B., Palinkas, A., Palfi, B., Szollosi, A., & Aczel, B. (2018). A systematic scoping review of the choice architecture movement: Toward understanding when and why nudges work. Journal of Behavioral Decision Making, 31, 355366. https://doi.org/10.1002/bdm.2035Google Scholar
Takemura, K. (2014). Behavioral Decision Theory: Psychological and Mathematical Descriptions of Human Choice Behavior. Tokyo: Springer. https://doi.org/10.1007/978-4-431-54580-4_5Google Scholar
Thaler, R. H., & Sunstein, C. R. (2008). Nudge: Improving Decisions About Health, Wealth, and Happiness. New Haven, CT: Yale University Press.Google Scholar
Thapa, J., Lyford, C., Belasco, E. J. et al. (2014). Nudges in the supermarket: Experience from point of sale signs. Paper presented at the 2014 Annual Meeting of the Agricultural and Applied Economics Association, Minneapolis, July 27–29. https://ideas.repec.org/p/ags/aaea14/171442.htmlGoogle Scholar
Tversky, A. (1975). A critique of expected utility theory: Descriptive and normative considerations. Erkenntnis, 9, 163173. https://doi.org/10.1007/BF00226380Google Scholar
US Department of Health and Human Services. (2014). The Health Consequences of Smoking – 50 Years of Progress: A Report of the Surgeon General. Atlanta, GA: US Department of Health and Human Services. www.ncbi.nlm.nih.gov/books/NBK179276/pdf/Bookshelf_NBK179276.pdfGoogle Scholar
Venema, T. A. G., Kroese, F. M., & De Ridder, D. T. D. (2017). I’m still standing: A longitudinal study on the effect of a default nudge. Psychology and Health, 33, 669681. https://doi.org/10.1080/08870446.2017.1385786)Google Scholar
Von Neumann, J., & Morgenstern, O. (1953). Theory of Games and Economic Behavior. Princeton: Princeton University Press.Google Scholar
Wansink, B., & Van Ittersum, K. (2007). Portion size me: Downsizing our consumption norms. Journal of the Academy of Nutrition and Dietetics, 107, 11031106. https://doi.org/10.1016/j.jada.2007.05.019Google Scholar
Zimmerman, F. J. (2009). Using behavioral economics to promote physical activity. Preventive Medicine, 49, 289291. https://doi.org/10.1016/j.ypmed.2009.07.008 Google Scholar

References

Antonucci, T. C., Akiyama, H., & Takahashi, K. (2004). Attachment and close relationships across the life span. Attachment and Human Development, 6, 353370. https://doi.org/10.1080/1461673042000303136Google Scholar
Arden‐Close, E., & McGrath, N. (2017). Health behaviour change interventions for couples: A systematic review. British Journal of Health Psychology, 22, 215237. https://doi.org/10.1111/bjhp.12227Google Scholar
Bandura, A. (1989). Human agency in social cognitive theory. American Psychologist, 44, 11751184. https://doi.org/10.1037/0003-066X.44.9.1175Google Scholar
Baucom, D. H., Kirby, J. S., & Kelly, J. T. (2010). Couple-based interventions to assist partners with psychological and medical problems. In Hahlweg, K., Grawe-Gerber, M., & Baucom, D. H. (Eds.), Enhancing Couples: The Shape of Couple Therapy to Come (pp. 7892). Cambridge, MA: Hogrefe Publishing.Google Scholar
Baucom, D. H., Porter, L. S., Kirby, J. S., & Hudepohl, J. (2012). Couple-based interventions for medical problems. Behavior Therapy, 43, 6176. https://doi.org/10.1016/j.beth.2011.01.008Google Scholar
Berli, C., Bolger, N., Shrout, P. E., Stadler, G., & Scholz, U. (2018). Interpersonal processes of couples’ daily support for goal pursuit: The example of physical activity. Personality and Social Psychology Bulletin, 44, 332344. https://doi.org/10.1177/0146167217739264Google Scholar
Berli, C., Stadler, G., Inauen, J., & Scholz, U. (2016). Action control in dyads: A randomized controlled trial to promote physical activity in everyday life. Social Science & Medicine, 163, 8997. https://doi.org/10.1016/j.socscimed.2016.07.003Google Scholar
Best, J. R., Goldschmidt, A. B., Mockus-Valenzuela, D. S., Stein, R. I., Epstein, L. H., & Wilfley, D. E. (2016). Shared weight and dietary changes in parent-child dyads following family-based obesity treatment. Health Psychology, 35, 9295. https://doi.org/10.1037/hea0000247Google Scholar
Bolger, N., Zuckerman, A., & Kessler, R. C. (2000). Invisible support and adjustment to stress. Journal of Personality and Social Psychology, 79, 953961. https://doi.org/10.1037/0022-3514.79.6.953Google Scholar
Bronfenbrenner, U. (1986). Ecology of the family as a context for human development: Research perspectives. Developmental Psychology, 22, 723742. https://doi.org/10.1037/0012-1649.22.6.723Google Scholar
Burkert, S., Scholz, U., Gralla, O., Roigas, J., & Knoll, N. (2011). Dyadic planning of health-behavior change after prostatectomy: A randomized-controlled planning intervention. Social Science and Medicine, 73, 783792. https://doi.org/10.1016/j.socscimed.2011.06.016Google Scholar
Burton, J., Darbes, L. A., & Operario, D. (2010). Couples-focused behavioral interventions for prevention of HIV: Systematic review of the state of evidence. AIDS and Behavior, 14, 110. https://doi.org/10.1007/s10461-008-9471-4Google Scholar
Butterfield, R. M., & Lewis, M. A. (2002). Health-related social influence: A social ecological perspective on tactic use. Journal of Social and Personal Relationships, 19, 505526. https://doi.org/10.1177/0265407502019004050Google Scholar
Carr, R. M., Prestwich, A., Kwasnicka, D. et al. (2019). Dyadic interventions to promote physical activity and reduce sedentary behaviour: Systematic review and meta-analysis. Health Psychology Review, 13, 91109. https://doi.org/10.1080/17437199.2018.1532312Google Scholar
Craddock, E., vanDellen, M. R., Novak, S. A., & Ranby, K. W. (2015). Influence in relationships: A meta-analysis on health-related social control. Basic and Applied Social Psychology, 37, 118130. https://doi.org/10.1080/01973533.2015.1011271Google Scholar
Crepaz, N., Tungol-Ashmon, M. V., Vosburgh, H. W., Baack, B. N., & Mullins, M. M. (2015). Are couple-based interventions more effective than interventions delivered to individuals in promoting HIV protective behaviors? A meta-analysis. AIDS Care, 27, 13611366. https://doi.org/10.1080/09540121.2015.1112353Google Scholar
Cutrona, C. E., & Russell, D. W. (1990). Type of social support and specific stress: Toward a theory of optimal matching. In Sarason, B. R., Sarason, I. G., & Pierce, G. R. (Eds.), Wiley Series on Personality Processes. Social Support: An Interactional View (pp. 319366). Oxford: John Wiley & Sons.Google Scholar
Dombrowski, S. U., O’Carroll, R. E., & Williams, B. (2016). Form of delivery as a key “active ingredient” in behaviour change interventions. British Journal of Health Psychology, 21, 733740. https://doi.org/10.1111/bjhp.12203Google Scholar
Faseru, B., Richter, K. P., Scheuermann, T. S., & Park, E. W. (2018). Enhancing partner support to improve smoking cessation. The Cochrane Database of Systematic Reviews, 8, CD002928. https://doi.org/10.1002/14651858.CD002928.pub4Google Scholar
Fitzsimons, G. M., Finkel, E. J., & vanDellen, , M. R. (2015). Transactive goal dynamics. Psychological Review, 122, 648673. https://doi.org/10.1037/a0039654Google Scholar
Gleason, M. E. J., Iida, M., Bolger, N., & Shrout, P. E. (2003). Daily supportive equity in close relationships. Personality and Social Psychology Bulletin, 29, 10361045. https://doi.org/10.1177/0146167203253473Google Scholar
Gollwitzer, P. M. (1999). Implementation intentions: Strong effects of simple plans. American Psychologist, 54(7), 493503. https://doi.org/10.1037/0003-066X.54.7.493Google Scholar
Hagger, M. S., & Hardcastle, S. J. (2014). Interpersonal style should be included in taxonomies of behavior change techniques. Frontiers in Psychology, 5, 254. https://doi.org/10.3389/fpsyg.2014.00254Google Scholar
Hoffmann, T. C., Glasziou, P. P., Boutron, I. et al. (2014). Better reporting of interventions: Template for intervention description and replication (TIDieR) checklist and guide. BMJ, 348, g1687. https://doi.org/10.1136/bmj.g1687Google Scholar
Holt-Lunstad, J., Smith, T. B., & Layton, J. B. (2010). Social relationships and mortality risk: A meta-analytic review. PLoS Medicine, 7, e1000316.Google Scholar
Inauen, J., Tobias, R., & Mosler, H.‐J. (2014). The role of commitment strength in enhancing safe water consumption: Mediation analysis of a cluster‐randomized trial. British Journal of Health Psychology, 19, 701719. https://doi.org/10.1111/bjhp.12068Google Scholar
Jackson, S. E., Steptoe, A., & Wardle, J. (2015). The influence of partner’s behavior on health behavior change: The English Longitudinal Study of Ageing. JAMA Internal Medicine, 175, 385392. https://doi.org/10.1001/jamainternmed.2014.7554Google Scholar
Keller, J., Fleig, L., Hohl, D. H. et al. (2017). Which characteristics of planning matter? Individual and dyadic physical activity plans and their effects on plan enactment. Social Science and Medicine, 189, 5362. https://doi.org/10.1016/j.socscimed.2017.07.025Google Scholar
Knoll, N., Hohl, D. H., Keller, J., Schuez, N., Luszczynska, A., & Burkert, S. (2017). Effects of dyadic planning on physical activity in couples: A randomized controlled trial. Health Psychology, 36, 820. https://doi.org/10.1037/hea0000423Google Scholar
Knoll, N., Scholz, U., & Ditzen, B. (2019). Social support and family processes. In Revenson, T. A. & Gurung, R. A. R. (Eds.), The Handbook of Health Psychology (pp. 279289). New York: Psychology Press.Google Scholar
Kok, G., Gottlieb, N. H., Peters, G.-J. Y. et al. (2016). A taxonomy of behaviour change methods: An intervention mapping approach. Health Psychology Review, 10, 297312. https://doi.org/10.1080/17437199.2015.1077155Google Scholar
Lewis, M. A., McBride, C. M., Pollak, K. I., Puleo, E., Butterfield, R. M., & Emmons, K. M. (2006). Understanding health behavior change among couples: An interdependence and communal coping approach. Social Science and Medicine, 62, 13691380. https://doi.org/10.1016/j.socscimed.2005.08.006Google Scholar
Lüscher, J., Berli, C., Schwaninger, P., & Scholz, U. (2019). Smoking cessation with smartphone applications (SWAPP): A randomized controlled trial. Manuscript submitted for publication.Google Scholar
Lüscher, J., Stadler, G., Ochsner, S. et al. (2015). Daily negative affect and smoking after a self-set quit attempt: The role of dyadic invisible social support in a daily diary study. British Journal of Health Psychology, 20, 708723. https://doi.org/10.1111/bjhp.12135Google Scholar
Martire, L. M., & Helgeson, V. S. (2017). Close relationships and the management of chronic illness: Associations and interventions. American Psychologist, 72, 601612. https://doi.org/10.1037/amp0000066Google Scholar
McLean, N., Griffin, S., Toney, K., & Hardeman, W. (2003). Family involvement in weight control, weight maintenance and weight-loss interventions: A systematic review of randomised trials. International Journal of Obesity, 27, 9871005. https://doi.org/10.1038/sj.ijo.0802383Google Scholar
Michie, S., Carey, R. N., Johnston, M. et al. (2018). From theory-inspired to theory-based interventions: A protocol for developing and testing a methodology for linking behaviour change techniques to theoretical mechanisms of action. Annals of Behavioral Medicine, 52, 501512. https://doi.org/10.1007/s12160-016-9816-6Google Scholar
Michie, S., Richardson, M., Johnston, M. et al. (2013). The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: Building an international consensus for the reporting of behavior change interventions. Annals of Behavioral Medicine, 46, 8195. https://doi.org/10.1007/s12160-013-9486-6Google Scholar
Prestwich, A., Conner, M., Lawton, R., Bailey, W., Litman, J., & Molyneaux, V. (2005). Individual and collaborative implementation intentions and the promotion of breast self-examination. Psychology and Health, 20, 743760. https://doi.org/10.1080/14768320500183335Google Scholar
Prestwich, A., Conner, M. T., Lawton, R. J., Ward, J. K., Ayres, K., & McEachan, R. R. C. (2012). Randomized controlled trial of collaborative implementation intentions targeting working adults’ physical activity. Health Psychology, 31, 486495. https://doi.org/10.1037/a0027672Google Scholar
Prestwich, A., Conner, M. T., Lawton, R. J., Ward, J. K., Ayres, K., & McEachan, R. R. C. (2014). Partner- and planning-based interventions to reduce fat consumption: Randomized controlled trial. British Journal of Health Psychology, 19, 132148. https://doi.org/10.1111/bjhp.12047Google Scholar
Radtke, T., Luszczynska, A., Schenkel, K., Biddle, S., & Scholz, U. (2018). A cluster randomized controlled trial comparing the effectiveness of an individual planning intervention with collaborative planning in adolescent friendship dyads to enhance physical activity (TWOgether). BMC Public Health, 18, 911. https://doi.org/10.1186/s12889-018-5818-6Google Scholar
Rafaeli, E., & Gleason, M. E. J. (2009). Skilled support within intimate relationships. Journal of Family Theory and Review, 1, 2037. https://doi.org/10.1111/j.1756-2589.2009.00003.xGoogle Scholar
Ramchand, R., Ahluwalia, S. C., Xenakis, L., Apaydin, E., Raaen, L., & Grimm, G. (2017). A systematic review of peer-supported interventions for health promotion and disease prevention. Preventive Medicine, 101, 156170. https://doi.org/10.1016/j.ypmed.2017.06.008Google Scholar
Reis, H. T., & Gable, S. L. (2015). Responsiveness. Current Opinion in Psychology, 1, 6771. https://doi.org/10.1016/j.copsyc.2015.01.001Google Scholar
Richards, E. A., Franks, M. M., McDonough, M. H., & Porter, K. (2017). “Let’s move”: A systematic review of spouse-involved interventions to promote physical activity. International Journal of Health Promotion and Education, 56, 117. https://doi.org/10.1080/14635240.2017.1415160Google Scholar
Rook, K. S. (1990). Support, companionship, and control in older adults’ social networks: Implications for well-being. In Stephens, M. A., Crowther, J. H., Hobfoll, S. E., & Tennenbaum, D. L. (Eds.), Stress and Coping in Later-Life Families (pp. 437463). New York: Hemisphere.Google Scholar
Scholz, U., & Berli, C. (2014). A dyadic action control trial in overweight and obese couples (DYACTIC). BMC Public Health, 14, 1321. https://doi.org/10.1186/1471-2458-14-1321Google Scholar
Schulz, R., Czaja, S. J., McKay, J. R., Ory, M. G., & Belle, S. H. (2010). Intervention taxonomy (ITAX): Describing essential features of interventions. American Journal of Health Behavior, 34, 811821. https://doi.org/10.5993/AJHB.34.6.15Google Scholar
Seidman, G., Shrout, P. E., & Bolger, N. (2006). Why is enacted social support associated with increased distress? Using simulation to test two possible sources of spuriousness. Personality and Social Psychology Bulletin, 32, 5265. https://doi.org/10.1177/0146167205279582Google Scholar
Sniehotta, F. F., Nagy, G., Scholz, U., & Schwarzer, R. (2006). The role of action control in implementing intentions during the first weeks of behaviour change. British Journal of Social Psychology, 45, 87106. https://doi.org/10.1348/014466605X62460Google Scholar
Sullivan, K. T., & Davila, J. (2014). The problem is my partner: Treating couples when one partner wants the other to change. Journal of Psychotherapy Integration, 24, 112. https://doi.org/10.1037/a0035969Google Scholar
Sutton, M. Y., Lasswell, S. M., Lanier, Y., & Miller, K. S. (2014). Impact of parent-child communication interventions on sex behaviors and cognitive outcomes for black/African-American and Hispanic/Latino youth: A systematic review, 1988–2012. The Journal of Adolescent Health, 54, 369384. https://doi.org/10.1016/j.jadohealth.2013.11.004Google Scholar
Voils, C. I., Coffman, C. J., Yancy, W. S. et al. (2013). A randomized controlled trial to evaluate the effectiveness of CouPLES: A spouse-assisted lifestyle change intervention to improve low-density lipoprotein cholesterol. Preventive Medicine, 56, 4652. https://doi.org/10.1016/j.ypmed.2012.11.001Google Scholar
Webel, A. R., Okonsky, J., Trompeta, J., & Holzemer, W. L. (2010). A systematic review of the effectiveness of peer-based interventions on health-related behaviors in adults. American Journal of Public Health, 100, 247253.Google Scholar

References

Bandura, A. (1994). Self-efficacy. In Ramachaudran, V. S. (Ed.), Encyclopedia of Human Behavior, Vol. 4 (pp. 7181). New York: Academic Press.Google Scholar
Borek, A. J., Abraham, C., Greaves, C. J. et al. (2019). Identifying change processes in group-based health behaviour-change interventions: Development of the mechanisms of action in group-based interventions (MAGI) framework. Health Psychology Review, 13, 227247. https://doi.org/10.1080/17437199.2019.1625282Google Scholar
Borek, A. J., Abraham, C., Greaves, C. J., & Tarrant, M. (2018). Group-based diet and physical activity weight-loss interventions: A systematic review and meta-analysis of randomised controlled trials. Applied Psychology: Health and Wellbeing, 10, 6286. https://doi.org/10.1111/aphw.12121Google Scholar
Borek, A. J., Abraham, C., Smith, J. R., Greaves, C. J., & Tarrant, M. (2015). A checklist to improve reporting of group-based behaviour-change interventions. BMC Public Health, 15, 963. https://doi.org/10.1186/s12889-015-2300-6Google Scholar
Budman, S. H., Demby, A., Feldstein, M. et al. (1987). Preliminary findings on a new instrument to measure cohesion in group psychotherapy. International Journal of Group Psychotherapy, 37, 7594. https://doi.org/10.1080/00207284.1987.11491042Google Scholar
Cruice, M., Worral, L., & Hickson, L. (2006). Perspectives of quality of life by people with aphasia and their family: Suggestions for successful living. Topics in Stroke Rehabilitation, 13, 1424. https://doi.org/10.1310/4JW5-7VG8-G6X3-1QVJGoogle Scholar
Cruwys, T., Steffens, N. K., Haslam, S. A. et al. (2019). Predictors of social identification in group therapy. Psychotherapy Research, 21, 303335. https://doi.org/10.1177/1088868316656701Google Scholar
Dalemans, R. J., De Witte, L. P., Beurskens, A. J., Van Den Heuvel, W. J., & Wade, D. T. (2010). An investigation into the social participation of stroke survivors with aphasia. Disability and Rehabilitation, 32, 1678–85. https://doi.org/10.3109/09638281003649938Google Scholar
Dombrowski, S. U., O’Carroll, R. E., & Williams, B. (2016). Form of delivery as a key “active ingredient” in behaviour change interventions. British Journal of Health Psychology, 21, 733740. https://doi.org/10.1111/bjhp. 12203sGoogle Scholar
Frings, D., Collins, M., Long, G., Pinto, I. R., & Albery, I. P. (2016). A test of the social identity model of cessation maintenance: The content and role of social control. Addictive Behaviors Reports, 3, 7785. https://doi.org/10.1016/j.abrep.2016.02.003Google Scholar
Greenaway, K. H., Cruwys, T., Haslam, S. A., & Jetten, J. (2015). Social identities promote well-being because they satisfy global psychological needs. European Journal of Social Psychology, 46, 294307. https://doi.org/10.1002/ejsp.2169Google Scholar
Haslam, C., Cruwys, T., Haslam, S. A., Dingle, G., Chang, M. X. (2016). Groups 4 Health: Evidence that a social-identity intervention that builds and strengthens social group membership improves health. Journal of Affective Disorders, 194, 188195. https://doi.org/10.1016/j.jad.2016.01.010Google Scholar
Haslam, C., Jetten, J., Cruwys, T., Dingle, G., & Haslam, S. A. (2018). The New psychology of Health: Unlocking the Social Cure. London: Routledge. https://doi.org/0.4324/9781315648569Google Scholar
Haslam, S. A., Reicher, S. D., & Levine, M. (2012). When other people are heaven, when other people are hell: How social identity determines the nature and impact of social support. In Jetten, J., Haslam, C., & Haslam, S. A. (Eds.), The Social Cure: Identity, Health and Well-Being (pp. 157174). New York: Psychology Press.Google Scholar
Haslam, S. A., Reicher, S. D., & Platow, M. J. (2011). The New Psychology of Leadership: Identity, Influence and Power. New York: Psychology Press.Google Scholar
Hilari, K., Northcott, S., Roy, P. et al. (2010). Psychological distress after stroke and aphasia: The first six months. Clinical Rehabilitation, 24, 181190. https://doi.org/10.1177/0269215509346090Google Scholar
Kearns, M., Muldoon, O. T., Msetfi, R. M., & Surgenor, P. W. (2015). Understanding help-seeking amongst university students: The role of group identity, stigma, and exposure to suicide and help-seeking. Frontiers in Psychology, 6, 1462. https://doi.org/10.3389/fpsyg.2015.01462Google Scholar
Khan, S. S., Tarrant, M., Kos, K., Daly, M., Gimbuta, C., & Farrow, C. V. (2019). Making connections: Social identification with new treatment groups for lifestyle management of severe obesity. Unpublished manuscript, University of Exeter.Google Scholar
Kok, G., Gottlieb, N.H., Peters, G. J. et al. (2016). A taxonomy of behaviour change methods: An intervention mapping approach. Health Psychology Review, 10, 297312. https://doi.org/10.1080/17437199.2015.1077155Google Scholar
Michie, S., Richardson, M., Johnston, M. et al. (2013). The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: Building an international consensus for the reporting of behavior change interventions. Annals of Behavioral Medicine, 46, 8195. https://doi.org/10.1007/s12160-013-9486-6Google Scholar
Michie, S., Van Stralen, M. M., & West, R. (2011). The behaviour change wheel: A new method for characterising and designing behaviour change interventions. Implementation Science, 6. https://doi.org/10.1186/1748-5908-6-42Google Scholar
Nackers, L. M., Dubyak, P. J., Lu, X., Anton, S. D., Dutton, G. R., & Peri, M. G. (2015). Group dynamics are associated with weight loss in the behavioral treatment of obesity. Obesity, 23, 15631569. https://doi.org/10.1002/oby.21148Google Scholar
Oakes, P. J., Haslam, S. A. & Turner, J. C. (1994). Stereotyping and Social Reality. Oxford: Blackwell.Google Scholar
Oyserman, D., Fryberg, S. A., & Yoder, N. (2007). Identity-based motivation and health. Journal of Personality and Social Psychology, 93, 10111027. https://doi.org/10.1037/0022-3514.93.6.1011Google Scholar
Pearce, E., Launay, J., & Dunbar, R. I. M. (2015). The ice-breaker effect: Singing mediates fast social bonding. Royal Society Open Science, 2. https://doi.org/10.1098/rsos.150221Google Scholar
Reicher, S. D., Haslam, S. A., & Hopkins, N. (2005). Social identity and the dynamics of leadership: Leaders and followers as collaborative agents in the transformation of social reality. The Leadership Quarterly, 16, 547568. https://doi.org/0.1016/j.leaqua.2005.06.007Google Scholar
Sani, F. (2005). When subgroups secede: Extending and refining the social psychological model of schism in groups. Personality and Social Psychology Bulletin, 31, 10741086. https://doi.org/10.1177/0146167204274092Google Scholar
Schlaug, G., Norton, A., Marchina, S., Zipse, L., & Wan, C. Y. (2010). From singing to speaking: Facilitating recovery from nonfluent aphasia. Future Neurology, 5, 657665. https://doi.org/10.2217/fnl.10.44Google Scholar
Smith, I. H., & Woodworth, W. P. (2012). Developing social entrepreneurs and social innovators: A social identity and self-efficacy approach. Academy of Management Learning and Education, 11, 390407. https://doi.org/10.5465/amle.2011.0016Google Scholar
Steffens, N. K., Haslam, S. A., Reicher, S. D. et al. (2014). Leadership as social identity management: Introducing the Identity Leadership Inventory (ILI) to assess and validate a four-dimensional model. The Leadership Quarterly, 25, 10011024. https://doi.org/10.1016/j.leaqua.2014.05.002Google Scholar
Steffens, N. K., La Rue, C. J., Haslam, C. et al. (2020). Social identification-building interventions to improve health: A systematic review and meta-analysis. Health Psychology Review. https://doi.org/10.1080/17437199.2019.1669481Google Scholar
Tajfel, H., & Turner, J. C. (1986). The social identity theory of intergroup behavior. In Worchel, S. & Austin, W. G. (Eds.), Psychology of Intergroup Relations (pp. 724). Chicago: Nelson-Hall.Google Scholar
Tarrant, M., Carter, M., Dean, S. G. et al. (2018). Singing for people with aphasia (SPA): A protocol for a pilot randomised controlled trial of a group singing intervention to improve well-being. BMJ Open, 8, e025167. https://doi.org/10.1136/bmjopen-2018-025167Google Scholar
Tarrant, M., Carter, M., Dean, S. G. et al. (2019). Singing for people with aphasia (SPA): Results of a pilot randomised controlled trial of a group singing intervention to improve well-being. Unpublished manuscript, University of Exeter.Google Scholar
Tarrant, M., Khan, S. S., Farrow, C. V., Shah, P., Daly, M., & Kos, K. (2017). Patient experiences of a bariatric group programme for managing obesity: A qualitative interview study. British Journal of Health Psychology, 22, 7793. https://doi.org/10.1111/bjhp.12218Google Scholar
Turner, J. C. (1982). Towards a cognitive redefinition of the social group. In Tajfel, H. (Ed.), Social Identity and Intergroup Relations (pp. 1540). Cambridge: Cambridge University Press.Google Scholar
Turner, J. C., Hogg, M. A., Oakes, P. J., Reicher, S. D., & Wetherell, M. S. (1987). Rediscovering the Social Group: A Self-Categorization Theory. Oxford: Blackwell.Google Scholar

References

Amrhein, P. C., Miller, W. R., Yahne, C. E., Palmer, M., & Fulcher, L. (2003). Client commitment language during motivational interviewing predicts drug use outcomes. Journal of Consulting and Clinical Psychology, 71, 862878. https://doi.org/10.1037/0022-006X.71.5.862Google Scholar
Babor, T. F., & Del Boca, F. (2003). Treatment Matching in Alcoholism. Cambridge: Cambridge University Press.Google Scholar
Bahner, J., & Stenqvist, K. (2019). Motivational Interviewing as evidence-based practice? An example from sexual risk reduction interventions targeting adolescents and young adults. Sexuality Research and Social Policy. https://doi.org/10.1007/s13178-019-00388-yGoogle Scholar
Beckman, M. (2018). Dissemination of Motivational Interviewing: The role of workshop training and subsequent supervision in the development of competence in clinical practice. PhD thesis, Karolinska Institutet.Google Scholar
Beckman, M., Forsberg, L., Lindqvist, H., Diez, M., Persson, J., & Ghaderi, A. (2017). The dissemination of motivational interviewing in Swedish county councils: Results of a randomized controlled trial. PLoS ONE, 12, 7. https://doi.org/10.1371/journal.pone.0181715Google Scholar
Bem, D. J. (1972). Self-perception theory. Advances in Experimental Social Psychology, 6, 162. https://doi.org/10.1016/S0065-2601(08)60024–6Google Scholar
Berman, A. H., Biguet, G., Stathakarou, N. et al. (2017). Virtual patients in a behavioral medicine massive open online course (MOOC): A qualitative and quantitative analysis of participants’ perceptions. Academic Psychiatry, 41, 631641. https://doi.org/10.1007/s40596-017-0706-4Google Scholar
Buckner, J., & Schmidt, N. (2009). A randomized pilot study of motivation enhancement therapy to increase utilization of cognitive-behavioral therapy for social anxiety. Behaviour Research and Therapy, 47, 710715. https://doi.org/10.1016/j.brat.2009.04.009Google Scholar
Burke, B. L., Arkowitz, H., & Menchola, M. (2003). The efficacy of motivational interviewing: A meta-analysis of controlled clinical trials. Journal of Consulting and Clinical Psychology, 71, 843861. https://doi.org/10.1037/0022-006X.71.5.843Google Scholar
Carroll, K. M. (2016). Training in vain? Addiction, 111, 11531154. https://doi.org/10.1111/add.13175Google Scholar
Christoff, A. D. O., & Boerngen-Lacerda, R. (2015). Reducing substance involvement in college students: A three-arm parallel-group randomized controlled trial of a computer-based intervention. Addictive Behaviors, 45, 164171. https://doi.org/10.1016/j.addbeh.2015.01.019Google Scholar
Cushing, C. C., Jensen, C. D., Miller, M. B., & Leffingwell, T. R. (2014). Meta-analysis of motivational interviewing for adolescent health behavior: Efficacy beyond substance use. Journal of Consulting and Clinical Psychology., 82, 12121218. https://doi.org/10.1037/a0036912Google Scholar
D’Amico, E. J., Houck, J. M., Hunter, S. B., Miles, J. N., Osilla, K. C., & Ewing, B. A. (2015). Group motivational interviewing for adolescents: Change talk and alcohol and marijuana outcomes. Journal of Consulting and Clinical Psycholology, 83, 6880. https://doi.org/10.1037/a0038155Google Scholar
Decker, S. E., Carroll, K. M., Nich, C., Canning-Ball, M., & Martino, S. (2013). Correspondence of motivational interviewing adherence and competence ratings in real and role-played client sessions. Psychological Assessment, 25, 306312. https://doi.org/10.1037/a0030815Google Scholar
Dobber, J., van Meijel, B., Barkhof, E. et al. (2015). Selecting an optimal instrument to identify active ingredients of the motivational interviewing-process. Journal of Psychosomatic Research, 78, 268276. https://doi.org/http://dx.doi.org/10.1016/j.jpsychores.2014.10.010Google Scholar
Festinger, L. (1962). A Theory of Cognitive Dissonance, Vol. 2. Paulo Alto, CA: Stanford University Press.Google Scholar
Forsberg, L., Wickström, H., & Källmén, H. (2014). Motivational interviewing may facilitate professional interactions with inspectees during environmental inspections and enforcement conversations. PeerJ, 2, e508. https://doi.org/10.7717/peerj.508Google Scholar
Frost, H., Campbell, P., Maxwell, M. et al. (2018). Effectiveness of motivational interviewing on adult behaviour change in health and social care settings: A systematic review of reviews. PLoS ONE, 13, e020489. https://doi.org/10.1371/journal.pone.0204890Google Scholar
Gates, P. J., Norberg, M. M., Copeland, J., & Digiusto, E. (2012). Randomized controlled trial of a novel cannabis use intervention delivered by telephone. Addiction, 107, 21492158. https://doi.org/10.1111/j.1360-0443.2012.03953.xGoogle Scholar
Gaume, J., McCambridge, J., Bertholet, N., & Daeppen, J.-B. (2014). Mechanisms of action of brief alcohol interventions remain largely unknown: A narrative review. Frontiers in Psychiatry, 5, 108. https://doi.org/10.3389/fpsyt.2014.00108Google Scholar
Hall, K., Staiger, P. K., Simpson, A., Best, D., & Lubman, D. I. (2015). After 30 years of dissemination, have we achieved sustained practice change in motivational interviewing? Addiction, 7, 11441150. https://doi.org/10.1111/add.13014Google Scholar
Hardcastle, S. J., Fortier, M., Blake, N., & Hagger, M. S. (2017). Identifying content-based and relational techniques to change behaviour in motivational interviewing. Health Psychology Review, 11, 116. https://doi.org/10.1080/17437199.2016.1190659Google Scholar
Heckman, C. J., Egleston, B. L., & Hofmann, M. T. (2010). Efficacy of motivational interviewing for smoking cessation: A systematic review and meta-analysis. Tobacco Control, 19, 410416. https://doi.org/10.1136/tc.2009.033175Google Scholar
Hettema, J., Steele, J., & Miller, W. R. (2005). Motivational interviewing. Annual Review of Clinical Psychology, 1, 91111. https://doi.org/10.1146/annurev.clinpsy.1.102803.143833Google Scholar
Houck, J. M., Moyers, T. B., Miller, W. R., Glynn, L. H., & Hallgren, K. A. (2010). Motivational Interviewing Skill Code (MISC) Version 2.5. https://casaa.unm.edu/download/misc25.pdfGoogle Scholar
Jiang, S., Wu, L., & Gao, X. (2017). Beyond face-to-face individual counseling: A systematic review on alternative modes of motivational interviewing in substance abuse treatment and prevention. Addictive Behaviors, 73, 216235. https://doi.org/10.1016/j.addbeh.2017.05.023Google Scholar
Jonas, D. E., Garbutt, J. C., Brown, J. M. et al. (2012). Screening, Behavioral Counseling, and Referral in Primary Care to Reduce Alcohol Misuse (Report No. 64). Rockville, MD: Agency for Healthcare Research and Quality.Google Scholar
Kaner, E. F. S., Beyer, F. R., Muirhead, C. et al. (2018). Effectiveness of brief alcohol interventions in primary care populations. Cochrane Database of Systematic Reviews, 2, CD004148. https://doi.org/10.1002/14651858.CD004148.pub4Google Scholar
Kohler, S., & Hofmann, A. (2015). Can motivational interviewing in emergency care reduce alcohol consumption in young people? A systematic review and meta-analysis. Alcohol and Alcoholism, 50, 107117. https://doi.org/10.1093/alcalc/agu098Google Scholar
Koken, J., Naar-King, S., Umasa, S. et al. (2012). A cross-cultural three-step process model for assessing motivational interviewing treatment fidelity in Thailand. Health Education and Behavior, 39, 574582. https://doi.org/10.1177/1090198111423679Google Scholar
Li, L., Zhu, S., Tse, N., Tse, S., & Wong, P. (2016). Effectiveness of motivational interviewing to reduce illicit drug use in adolescents: A systematic review and meta-analysis. Addiction, 111, 795805. https://doi.org/10.1111/add.13285Google Scholar
Lundahl, B., Moleni, T., Burke, B. L. et al. (2013). Motivational interviewing in medical care settings: A systematic review and meta-analysis of randomized controlled trials. Patient Education and Counseling, 93, 157168. https://doi.org/10.1016/j.pec.2013.07.012Google Scholar
Lundahl, B. W., & Burke, B. (2009). The effectiveness and applicability of motivational interviewing: A practice-friendly review of four meta-analyses. Journal of Clinical Psychology, 65, 114. https://doi.org/10.1002/jclp.20638Google Scholar
Lundahl, B. W., Kunz, C., Brownell, C., Tollefson, D., & Burke, B. L. (2010). A meta-analysis of motivational interviewing: Twenty-five years of empirical studies. Research on Social Work Practice, 20, 137160. https://doi.org/10.1177/1049731509347850Google Scholar
Madson, M., & Campbell, T. (2006). Measures of fidelity in motivational enhancement: A systematic review. Journal of Substance Abuse Treatment, 31, 6773. https://doi.org/10.1016/j.jsat.2006.03.010Google Scholar
Magill, M., Apodaca, T. R., Borsari, B. et al. (2018). A meta-analysis of motivational interviewing process: Technical, relational, and conditional process models of change. Journal of Consulting and Clinical Psychology, 86, 140157. https://doi.org/10.1037/ccp0000250Google Scholar
Maltby, N., & Tolin, D. F. (2005). A brief motivational intervention for treatment-Refusing OCD patients. Cognitive and Behavioral Therapy, 34, 176184. https://doi.org/10.1080/16506070510043741Google Scholar
Martino, S., Ball, S., Nich, C., Frankforter, T., & Carroll, K. (2009). Correspondence of motivational enhancement treatment integrity ratings among therapists, supervisors, and observers. Psychotherapy Research, 19, 181193. https://doi.org/10.1080/10503300802688460Google Scholar
Mason, M. J., Campbell, L., Way, T. et al. (2015). Development and outcomes of a text messaging tobacco cessation intervention with urban adolescents. Substance Abuse, 36, 500506. https://doi.org/10.1080/08897077.2014.987946Google Scholar
McCambridge, J., Day, M., Thomas, B., & Strang, J. (2011). Fidelity to motivational interviewing and subsequent cannabis cessation among adolescents. Addictive Behaviors, 36, 749754. https://doi.org/10.1016/j.addbeh.2011.03.002Google Scholar
Michie, S., Richardson, M., Johnston, M. et al. (2013). The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: Building an international consensus for the reporting of behavior change interventions. Annals of Behavioral Medicine, 46, 8195.Google Scholar
Miller, W. R. (1983). Motivational interviewing with problem drinkers. Behavioural Psychotherapy, 11, 147172. https://doi.org/10.1017/s0141347300006583Google Scholar
Miller, W. R., & Moyers, T. (2017). Motivational interviewing and the clinical science of Carl Rogers. Journal of Consulting and Clinical Psychology, 85, 757766. https://doi.org/10.1037/ccp0000179Google Scholar
Miller, W. R., & Rollnick, S. (2009). Ten things that motivational interviewing is not. Behavioural and Cognitive Psychotherapy, 37, 129140. https://doi.org/10.1017/S1352465809005128Google Scholar
Miller, W. R., & Rollnick, S. (2013). Motivational Interviewing: Helping People Change (3rd ed.). New York: Guilford Press.Google Scholar
Miller, W. R., & Rollnick, S. (2014). The effectiveness and ineffectiveness of complex behavioral interventions: Impact of treatment fidelity. Contemporary Clinical Trials, 37, 234241. https://doi.org/10.1016/j.cct.2014.01.005Google Scholar
Miller, W. R., & Rose, G. S. (2009). Toward a theory of motivational interviewing. American Psychologist, 64, 527537. https://doi.org/10.1037/a0016830Google Scholar
Miller, W. R., Yahne, C. E., Moyers, T. B., Martinez, J., & Pirritano, M. (2004). A randomized trial of methods to help clinicians learn motivational interviewing. Journal of Consulting and Clinical Psychology, 72, 10501062. https://doi.org/10.1037/0022-006X.72.6.1050Google Scholar
MINT (Motivational Interviewing Network of Trainers). (2019). MINT. Website. https://motivationalinterviewing.orgGoogle Scholar
Moyers, T., Rowell, L., Manuel, J., Ernst, D., & Houck, J. (2016). The Motivational Interviewing Treatment Integrity Code (MITI 4): Rationale, preliminary reliability and validity. Journal of Substance Abuse Treatment, 65, 3642. https://doi.org/10.1016/j.jsat.2016.01.001Google Scholar
O’Donnell, A., Anderson, P., Newbury-Birch, D. et al. (2014). The impact of brief alcohol interventions in primary healthcare: a systematic review of reviews. Alcohol and Alcoholism, 49, 6678. https://doi.org/10.1093/alcalc/agt170Google Scholar
Pace, B. T., Dembe, A., Soma, C. S., Baldwin, S. A., Atkins, D. C., & Imel, Z. E. (2017). A multivariate meta-analysis of motivational interviewing process and outcome. Psychology of Addictive Behaviors, 31, 524533. https://doi.org/10.1037/adb0000280Google Scholar
Page, K. M., & Tchernitskaia, I. (2014). Use of motivational interviewing to improve return-to-work and work-related outcomes: A review. The Australian Journal of Rehabilitation Counselling, 20, 3849. https://doi.org/10.1017/jrc.2014.5Google Scholar
Prochaska, J. O., & Norcross, J. C. (2007). Systems of Psychotherapy: A Transtheoretical Approach (7th ed.). New York: Brooks/Cole.Google Scholar
Rogers, C. R. (1956). Becoming a person. Pastoral Psychology, 7, 913. https://doi.org/10.1007/BF01560065Google Scholar
Schmidt, L., Andersen, K., Nielsen, A., & Moyers, T. (2019). Lessons learned from measuring fidelity with the Motivational Interviewing Treatment Integrity code (MITI 4). Journal of Substance Abuse Treatment, 97, 5967. https://doi.org/10.1016/j.jsat.2018.11.004Google Scholar
Schwalbe, C. S., Oh, H. Y., & Zweben, A. (2014). Sustaining motivational interviewing: A meta-analysis of training studies. Addiction, 109, 12871294. https://doi.org/10.1111/add.12558Google Scholar
Shingleton, R., & Palfai, T. P. (2016). Technology-delivered adaptations of motivational interviewing for health-related behaviors: A systematic review of the current research. Patient Education and Counseling, 99, 1735. https://doi.org/10.1016/j.pec.2015.08.005Google Scholar
Tanner-Smith, E. E., & Lipsey, M. W. (2015). Brief alcohol interventions for adolescents and young adults: A systematic review and meta-analysis. Journal of Substance Abuse Treatment, 51, 118. https://doi.org/10.1016/j.jsat.2014.09.001Google Scholar
Terry, J., Strait, G., Smith, B., & McQuillin, S. (2013). Replication of motivational interviewing to improve middle school students’ academic performance. Journal of Community Psychology, 41, 902909. https://doi.org/doi.org/10.1002/jcop.21574.Google Scholar
Toneatto, T. (2016). Single-session interventions for problem gambling may be as effective as longer treatments: Results of a randomized control trial. Addictive Behaviors, 52, 5865. https://doi.org/10.1016/j.addbeh.2015.08.006Google Scholar
Vallabhan, M. K., Jimenez, E. Y., Nash, J. L. et al. (2018). Motivational interviewing to treat adolescents with obesity: A meta-analysis. Pediatrics, 142, e20180733. https://doi.org/10.1542/peds.2018-0733Google Scholar
Villarosa-Hurlocker, M. C., O’Sickey, A. J., Houck, J. M., & Moyers, T. B. (2019). Examining the influence of active ingredients of motivational interviewing on client change talk. Journal of Substance Abuse and Treatment, 96, 3945. https://doi.org/10.1016/j.jsat.2018.10.001Google Scholar
Wain, R., Kutner, B., Smith, J. et al. (2015). Self-report after randomly assigned supervision does not predict ability to practice motivational interviewing. Journal of Substance Abuse Treatment, 57, 96101. https://doi.org/10.1016/j.jsat.2015.04.006Google Scholar
Werner, H., Hakeberg, M., Dahlström, L. et al. (2016). Psychological interventions for poor oral health: A systematic review. Journal of Dental Research, 95, 506514. https://doi.org/10.1177/0022034516628506.Google Scholar
Westra, H. A., Constantino, M. J., & Antony, M. M. (2016). Integrating motivational interviewing with cognitive-behavioral therapy for severe generalized anxiety disorder: An allegiance-controlled randomized clinical trial. Journal of Consulting and Clinical Psychology, 84, 768782.Google Scholar

References

Abraham, C. (2012). Mapping change mechanisms onto behaviour change techniques: A systematic approach to promoting behaviour change through text. In Abraham, C. & Kools, M. (Eds.), Writing Health Communication: An Evidence Based Guide (pp. 99116). Thousand Oaks, CA: SAGE.Google Scholar
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179211. https://doi.org/10.1016/0749-5978(91)90020-TGoogle Scholar
Bandura, A. (1986). Social Foundations of Thought and Action: A Social-Cognitive Theory. Englewood Cliffs, NJ: Prentice Hall.Google Scholar
Bartholomew, L. K., & Mullen, P. D. (2011). Five roles for using theory and evidence in the design and testing of behavior change interventions. Journal of Public Health Dentistry, 71, S20S33. https://doi.org/10.1111/j.1752-7325.2011.00223.xGoogle Scholar
Bartholomew Eldredge, L. K., Markham, C. M., Ruiter, R. A. C., Fernández, M. E., Parcel, G. S., & Kok, G. (2016). Planning Health Promotion Programs: An Intervention Mapping Approach (4th ed.). San Francisco, CA: Jossey-Bass.Google Scholar
Bellg, A. J., Borrelli, B., Resnick, B. et al. (2004). Special NIH committee report – Enhancing treatment fidelity in health behavior change studies: Best practices and recommendations from the NIH behavior change consortium. Health Psychology, 23, 443451.Google Scholar
Borland, R. (2017). CEOS theory: A comprehensive approach to understanding how to maintain behaviour change. Applied Psychology: Health and Well-Being, 9, 335. https://doi.org/10.1111/aphw.12083Google Scholar
Bronfenbrenner, U. (1977). Toward an experimental ecology of human development. American Psychologist, 32, 513531. https://doi.org/10.1037/0003-066X.32.7.513Google Scholar
BRP (Behavioral Research Program). (2019). Behavioral Research Program of the National Cancer Institute’s Division of Cancer Control and Population Sciences. Website. https://cancercontrol.cancer.gov/brp/about.htmlGoogle Scholar
Bullock, J. G., Green, D. P., & Ha, S. E. (2010). Yes, but what’s the mechanism? (don’t expect an easy answer). Journal of Personality and Social Psychology, 98, 550558. https://doi.org/10.1037/a0018933Google Scholar
Burke, B. L., Arkowitz, H., & Menchola, M. (2003). The efficacy of motivational interviewing: A meta-analysis of controlled clinical trials. Journal of Consulting and Clinical Psychology, 71, 843861. https://doi.org/10.1037/0022-006x.71.5.843Google Scholar
Butler, A. C., Chapman, J. E., Forman, E. M., & Beck, A. T. (2006). The empirical status of cognitive-behavioral therapy: A review of meta-analyses. Clinical Psychology Review, 26, 1731. https://doi.org/10.1016/j.cpr.2005.07.003Google Scholar
Carey, R. N., Connell, L. E., Johnston, M. et al. (2019). Behavior change techniques and their mechanisms of action: A synthesis of links described in published intervention literature. Annals of Behavioral Medicine, 53, 693707. https://doi.org/10.1093/abm/kay078Google Scholar
Cawley, J., Thow, A. M., Wen, K., & Frisvold, D. (2019). The economics of taxes on sugar-sweetened beverages: A review of the effects on prices, sales, cross-border shopping, and consumption. Annual Review of Nutrition, 39, 317338. https://doi.org/10.1146/annurev-nutr-082018-124603Google Scholar
Connell, L. E., Carey, R. N., de Bruin, M. et al. (2019). Links between behavior change techniques and mechanisms of action: An expert consensus study. Annals of Behavioral Medicine, 53, 708720. https://doi.org/10.1093/abm/kay082Google Scholar
Conner, M. T., & Norman, P. (2015). Predicting and changing health behaviour: A social cognition approach. In Conner, M. T. & Norman, P. (Eds.), Predicting and Changing Health Behaviour: Research and Practice with Social Cognition Models (3rd ed., pp. 129). Maidenhead: Open University Press.Google Scholar
>Cross, A., & Sheffield, D. (2019). Mental contrasting for health behaviour change: A systematic review and meta-analysis of effects and moderator variables. Health Psychology Review, 13, 209225. https://doi.org/10.1080/17437199.2019.1594332Google Scholar
Czajkowski, S. M., Powell, L. H., Adler, N. et al. (2015). From ideas to efficacy: The ORBIT model for developing behavioral treatments for chronic diseases. Health Psychology, 34, 971982. https://doi.org/10.1037/hea0000161Google Scholar
Damschroder, L. J., Aron, D. C., Keith, R. E., Kirsh, S. R., Alexander, J. A., & Lowery, J. C. (2009). Fostering implementation of health services research findings into practice: A consolidated framework for advancing implementation science. Implementation Science, 4, 50. https://doi.org/10.1186/1748-5908-4-50Google Scholar
Davis, R., Campbell, R., Hildon, Z., Hobbs, L., & Michie, S. (2015). Theories of behaviour and behaviour change across the social and behavioural sciences: A scoping review. Health Psychology Review, 9, 323344. https://doi.org/10.1080/17437199.2014.941722Google Scholar
Daw, N. D., Gershman, S. J., Seymour, B., Dayan, P., & Dolan, R. J. (2011). Model-based influences on humans’ choices and striatal prediction errors. Neuron, 69, 12041215. https://doi.org/10.1016/j.neuron.2011.02.027Google Scholar
de Bruin, M., Sheeran, P., Kok, G. et al. (2012). Self-regulatory processes mediate the intention-behavior relation for adherence and exercise behaviors. Health Psychology, 31, 695703. https://doi.org/10.1037/a0027425Google Scholar
Deci, E. L., & Ryan, R. M. (1985). Intrinsic Motivation and Self-Determination in Human Behavior. New York: Plenum Press.Google Scholar
Durlak, J. A., & DuPre, E. P. (2008). Implementation matters: A review of research on the influence of implementation on program outcomes and the factors affecting implementation. American Journal of Community Psychology, 41, 327. https://doi.org/10.1007/s10464-008-9165-0Google Scholar
Dzewaltowski, D. A., Noble, J. M., & Shaw, J. M. (1990). Physical activity participation: Social cognitive theory vs. the theories of reasoned action and planned behavior. Journal of Sport and Exercise Psychology, 12, 388405.Google Scholar
Engel, G. (1977). The need for a new medical model: A challenge for biomedicine. Science, 196, 129136. https://doi.org/10.1126/science.847460Google Scholar
Fairchild, A. J., & McDaniel, H. L. (2017). Best (but oft-forgotten) practices: Mediation analysis. The American Journal of Clinical Nutrition, 105, 12591271. https://doi.org/10.3945/ajcn.117.152546Google Scholar
Freedland, K. E. (2019). The Behavioral Medicine Research Council: Its origins, mission, and methods. Health Psychology, 38, 277289. https://doi.org/10.1037/hea0000731Google Scholar
Fried, E., Robinaugh, D., Quinn, K., & Tiokhin, L. (2019). Resource list: Formalizing theories in social sciences. https://osf.io/n9zta/Google Scholar
Gibbons, F. X., Gerrard, M., Blanton, H., & Russell, D. W. (1998). Reasoned action and social reaction: Willingness and intention as independent predictors of health risk. Journal of Personality and Social Psychology, 74, 11641180.Google Scholar
Gillison, F. B., Stathi, A., Reddy, P. et al. (2015). Processes of behavior change and weight loss in a theory-based weight loss intervention program: A test of the process model for lifestyle behavior change. International Journal of Behavioral Nutrition and Physical Activity, 12, 2. https://doi.org/10.1186/s12966-014-0160-6Google Scholar
Glasgow, R. E., Harden, S. M., Gaglio, B. et al. (2019). RE-AIM planning and evaluation framework: Adapting to new science and practice with a 20-year review. Frontiers in Public Health, 7. https://doi.org/10.3389/fpubh.2019.00064Google Scholar
Glasgow, R. E., Vogt, T. M., & Boles, S. M. (1999). Evaluating the public health impact of health promotion interventions: The RE-AIM framework. American Journal of Public Health, 89, 13221327.Google Scholar
Hagger, M. S. (2009). Theoretical integration in health psychology: Unifying ideas and complimentary explanations. British Journal of Health Psychology, 14, 189194. https://doi.org/10.1348/135910708X397034Google Scholar
Hagger, M. S. (2014). Avoiding the “déjà-variable” phenomenon: Social psychology needs more guides to constructs. Frontiers in Psychology, 5, 52. https://doi.org/10.3389/fpsyg.2014.00052Google Scholar
Hagger, M. S., & Chatzisarantis, N. L. D. (2014). An integrated behavior-change model for physical activity. Exercise and Sport Sciences Reviews, 42, 6269. https://doi.org/10.1249/JES.0000000000000008Google Scholar
Hagger, M. S., Moyers, S., McAnally, K., & McKinley, L. E. (2020). Known knowns and known unknowns on behavior change interventions and mechanisms of action. Health Psychology Review, 14, 199212. https://doi.org/10.1080/17437199.2020.1719184Google Scholar
Hardeman, W., Michie, S., Fanshawe, T., Prevost, T., Mcloughlin, K., & Kinmonth, A. L. (2007). Fidelity of delivery of a physical activity intervention: Predictors and consequences. Psychology and Health, 23, 1124.Google Scholar
Hargreaves, T. (2011). Practice-ing behaviour change: Applying social practice theory to pro-environmental behaviour change. Journal of Consumer Culture, 11, 7999. https://doi.org/10.1177/1469540510390500Google Scholar
Harkin, B., Webb, T. L., Chang, B. P. I. et al. (2016). Does monitoring goal progress promote goal attainment? A meta-analysis of the experimental evidence. Psychological Bulletin, 142, 198229. https://doi.org/10.1037/bul0000025Google Scholar
Hawe, P., Shiell, A., & Riley, T. (2009). Theorising Interventions as events in systems. American Journal of Community Psychology, 43, 267276. https://doi.org/10.1007/s10464-009-9229-9Google Scholar
Heber, E., Ebert, D. D., Lehr, D. et al. (2017). The benefit of web- and computer-based interventions for stress: A systematic review and meta-analysis. Journal of Medical Internet Research, 19, e32. https://doi.org/10.2196/jmir.5774Google Scholar
Heckhausen, H., & Gollwitzer, P. M. (1987). Thought contents and cognitive functioning in motivational and volitional states of mind. Motivation and Emotion, 11, 101120. https://doi.org/10.1007/BF00992338Google Scholar
Hedström, P., & Ylikoski, P. (2010). Causal mechanisms in the social sciences. Annual Review of Sociology, 36, 4967. https://doi.org/10.1146/annurev.soc.012809.102632Google Scholar
Heino, M. T. J., Noonan, C., Knittle, K., & Hankonen, N. (2019). Studying behaviour change mechanisms under complexity. Unpublished manuscript, University of Helsinki.Google Scholar
Hennessy, E. A., Johnson, B. T., Acabchuk, R. L., McCloskey, K., & Stewart-James, J. (2020). Self-regulation mechanisms in health behaviour change: A systematic meta-review of meta-analyses, 2006–2017. Health Psychology Review, 14, 6–42. https://doi.org/10.1080/17437199.2019.1679654Google Scholar
Hofmann, W., & Kotabe, H. (2012). A general model of preventive and interventive self-control. Social and Personality Psychology Compass, 6, 707722. https://doi.org/10.1111/j.1751-9004.2012.00461.xGoogle Scholar
Jetten, J., Haslam, C., & Haslam, S. A. (Eds.). (2012). The Social Cure: Identity, Health and Well-Being. New York: Psychology Press.Google Scholar
Johnson, B. T., Redding, C. A., DiClemente, R. J. et al. (2010). A network-individual-resource model for HIV prevention. AIDS and Behavior, 14, 204221. https://doi.org/10.1007/s10461-010-9803-zGoogle Scholar
Kahneman, D. (2011). Thinking, Fast and Slow. New York: Farrar, Straus & Giroux.Google Scholar
Kendall, P. C., & Hollon, S. D. (1979). Cognitive-behavioral interventions: Overview and current status. In Kendall, P. C. & Hollon, S. D. (Eds.), Cognitive-Behavioral Interventions: Theory, Research, and Procedures (pp. 19). New York: Academic Press.Google Scholar
Kreuter, M. W., Lukwago, S. N., Bucholtz, D. C., Clark, E. M., & Sanders-Thompson, V. (2003). Achieving cultural appropriateness in health promotion programs: Targeted and tailored approaches. Health Education and Behavior, 30, 133146. https://doi.org/10.1177/1090198102251021Google Scholar
Larsen, K. R., Michie, S., Hekler, E. B. et al. (2016). Behavior change interventions: The potential of ontologies for advancing science and practice. Journal of Behavioral Medicine, 40, 622. https://doi.org/10.1007/s10865-016-9768-0Google Scholar
Leventhal, H., Meyer, D., & Nerenz, D. (1980). The common sense model of illness danger. In Rachman, S. (Ed.), Medical Psychology, Vol. 2 (pp. 730). New York: Pergamon Press.Google Scholar
Locke, E. A., & Latham, G. P. (2019). The development of goal setting theory: A half century retrospective. Motivation Science, 5, 93105. https://doi.org/10.1037/mot0000127Google Scholar
Logan, J., & Graham, I. D. (2010). The Ottawa model of research use. In Bucknall, J. R. M. (Ed.), Models and Frameworks for Implementing Evidence-Based Practice: Evidence to Action (pp. 83108). Oxford: Wiley Blackwell.Google Scholar
Lyons, A. C., & Chamberlain, K. (2017). Critical health psychology. In Gough, B. (Ed.), The Palgrave Handbook of Critical Social Psychology (pp. 533555). London: Palgrave Macmillan.Google Scholar
Marteau, T. M. (2017). Towards environmentally sustainable human behaviour: Targeting non-conscious and conscious processes for effective and acceptable policies. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 375, 20160371. https://doi.org/10.1098/rsta.2016.0371Google Scholar
May, C., Finch, T., Mair, F. et al. (2007). Understanding the implementation of complex interventions in health care: The normalization process model. BMC Health Services Research, 7, 148. https://doi.org/10.1186/1472-6963-7-148Google Scholar
McLeroy, K. R., Bibeau, D., Steckler, A., & Glanz, K. (1988). An ecological perspective on health promotion programs. Health Education Quarterly, 15, 351377. https://doi.org/10.1177/109019818801500401Google Scholar
Meehl, P. E. (1990). Why summaries of research on psychological theories are often uninterpretable. Psychological Reports, 66, 195244. https://doi.org/10.2466/pr0.1990.66.1.195Google Scholar
Michie, S., Aonghusa, P. M., Johnston, M. et al. (2019). The Human Behaviour Change Project. Website. www.humanbehaviourchange.orgGoogle Scholar
Michie, S., Carey, R. N., Johnston, M. et al. (2017). From theory-inspired to theory-based interventions: A protocol for developing and testing a methodology for linking behaviour change techniques to theoretical mechanisms of action. Annals of Behavioral Medicine, 52, 501512. https://doi.org/10.1007/s12160-016-9816-6Google Scholar
Michie, S., & Johnston, M. (2017). Optimising the value of the evidence generated in implementation science: The use of ontologies to address the challenges. Implementation Science, 12, 131. https://doi.org/10.1186/s13012-017-0660-2Google Scholar
Michie, S., Rothman, A. J., Kelly, M., & de Bruin, M. (2019). Theories and techniques of behaviour change project. https://www.ucl.ac.uk/pals/research/clinical-educational-and-health-psychology/research-groups/behaviour-change-techniques-andGoogle Scholar
Michie, S., Rumsey, N., Fussell, A. et al. (2008). Improving Health: Changing behaviour – NHS Health Trainer Handbook. London: Department of Health.Google Scholar
Michie, S., Thomas, J., Johnston, M. et al. (2017). The human behaviour-change project: Harnessing the power of artificial intelligence and machine learning for evidence synthesis and interpretation. Implementation Science, 12, 121. https://doi.org/10.1186/s13012-017-0641-5Google Scholar
Michie, S., van Straalen, M., & West, R. (2011). The behaviour change wheel: A new method for characterising and designing behaviour change interventions. Implementation Science, 6, 42. https://doi.org/10.1186/1748-5908-6-42Google Scholar
Michie, S., West, R., Campbell, R., Brown, J., & Gainforth, H. (2014). ABC of Behaviour Change Theories. London: Silverback Publishing.Google Scholar
Montaño, D. E., & Kasprzyk, D. (2015). Theory of reasoned action, theory of planned behavior, and the integrated behavioral model. In Glanz, K., Rimer, B. K. & Viswanath, K. (Eds.), Health Behavior and Health Education: Theory, Research, and Practice (5th ed., pp. 95124). San Francisco, CA: Jossey-Bass.Google Scholar
Moore, G. F., Cambon, L., Michie, S. et al. (2019). Population health intervention research: The place of theories. Trials, 20, 285. https://doi.org/10.1186/s13063-019-3383-7Google Scholar
Moore, G. F., Evans, R. E., Hawkins, J. et al. (2019). From complex social interventions to interventions in complex social systems: Future directions and unresolved questions for intervention development and evaluation. Evaluation, 25, 2345. https://doi.org/10.1177/1356389018803219Google Scholar
Myers, H. F. (2009). Ethnicity- and socio-economic status-related stresses in context: An integrative review and conceptual model. Journal of Behavioral Medicine, 32, 919. https://doi.org/10.1007/s10865-008-9181-4Google Scholar
Naar, S., Czajkowski, S. M., & Spring, B. (2018). Innovative study designs and methods for optimizing and implementing behavioral interventions to improve health. Health Psychology, 37, 10811091. https://doi.org/10.1037/hea0000657Google Scholar
National Institutes of Health. (2019). Science of behavior change. Website. https://scienceofbehaviorchange.org/Google Scholar
Oettingen, G. (2012). Future thought and behaviour change. European Review of Social Psychology, 23, 163. https://doi.org/10.1080/10463283.2011.643698Google Scholar
Presseau, J., Byrne-Davis, L. M. T., Hotham, S. et al. (2019). Following through on health behaviour change breakthroughs: The synergy between implementation science and health psychology. Unpublished manuscript, University of Ottawa, Canada.Google Scholar
Prestwich, A., Sniehotta, F. F., Whittington, C., Dombrowski, S. U., Rogers, L., & Michie, S. (2014). Does theory influence the effectiveness of health behavior interventions? Meta-analysis. Health Psychology, 33, 465474. https://doi.org/10.1037/a0032853Google Scholar
Renner, B., Hankonen, N., Ghisletta, P., & Absetz, P. (2012). Dynamic psychological and behavioral changes in the adoption and maintenance of exercise. Health Psychology, 31, 306315. https://doi.org/10.1037/a0025302Google Scholar
Resnicow, K., Baranowski, T., Ahluwalia, J. S., & Braithwaite, R. L. (1999). Cultural sensitivity in public health: Defined and demystified. Ethnicity and Disease, 9.Google Scholar
Rhodes, R. E., Boudreau, F., Weman Josefsson, K., & Ivarsson, A. (2020). Mediators of physical activity behavior change interventions among adults: A systematic review and meta-analysis. Health Psychology Review. https://doi.org/10.1080/17437199.2019.1706614Google Scholar
Rhodes, R. E., McEwan, D., & Rebar, A. L. (2019). Theories of physical activity behaviour change: A history and synthesis of approaches. Psychology of Sport and Exercise, 42, 100109. https://doi.org/10.1016/j.psychsport.2018.11.010Google Scholar
Rixon, L., Baron, J., McGale, N., Lorencatto, F., Francis, J., & Davies, A. (2016). Methods used to address fidelity of receipt in health intervention research: A citation analysis and systematic review. BMC Health Services Research, 16, 663. https://doi.org/10.1186/s12913-016-1904-6Google Scholar
Rogers, P. J. (2008). Using programme theory to evaluate complicated and complex aspects of interventions. Evaluation, 14, 2948. https://doi.org/10.1177/1356389007084674Google Scholar
Rogers, R. W. (1975). A protection motivation theory of fear appeals and attitude change. Journal of Psychology, 91, 93114. https://doi.org/10.1080/00223980.1975.9915803Google Scholar
Rosenstock, I. M. (1974). Historical origins of the health belief model. Health Education Monographs, 2, 328335.Google Scholar
Schwarzer, R. (2008). Modeling health behaviour change: How to predict and modify the adoption and maintenance of health behaviors. Applied Psychology: An International Review, 57, 129. https://doi.org/10.1111/j.1464-0597.2007.00325.xGoogle Scholar
Sheeran, P., Klein, W. M. P., & Rothman, A. J. (2017). Health behavior change: Moving from observation to intervention. Annual Review of Psychology, 68, 573600 https://doi.org/10.1146/annurev-psych-010416-044007Google Scholar
Skivington, K., Matthews, L., Craig, P. et al. (2018). MRC guidance: Developing and evaluating complex interventions. Updating Medical Research Council guidance to take account of new methodological and theoretical approaches. The Lancet, 392, S2. Meeting abstract: Public Health Science 2018, Belfast, Northern Ireland, November 23, 2018. http://dx.doi.org/10.1016/s0140-6736(18)32865-4Google Scholar
SOBC (Science of Behavior Change Research Network). (2019). Science of Behavior Change Research Network.Google Scholar
Spotswood, F. (Ed.). (2016). Beyond Behaviour Change. Bristol: Bristol University Press.Google Scholar
Strack, F., & Deutsch, R. (2004). Reflective and impulsive determinants of social behavior. Personality and Social Psychology Review, 8, 220247. https://doi.org/10.1207/s15327957pspr0803_1Google Scholar
Suls, J., Mogavero, J. N., Falzon, L., Pescatello, L. S., Hennessy, E. A., & Davidson, K. W. (2020). Health behaviour change in cardiovascular disease prevention and management: Meta-review of behavior change techniques to affect self-regulation. Health Psychology Review, 14, 43–65. https://doi.org/10.1080/17437199.2019.1691622Google Scholar
Tajfel, H., & Turner, J. C. (1986). The social identity theory of intergroup behaviour. In Worchel, S. G. & Austin, W. (Eds.), Psychology of Intergroup Relations (2nd ed., pp. 724). Chicago: Nelson-Hall.Google Scholar
Thaler, R., & Sunstein, C. R. (2008). Nudge: Improving Decisions about Health, Wealth, and Happiness. New Haven, CT: Yale University Press.Google Scholar
Tolin, D. F. (2010). Is cognitive–behavioral therapy more effective than other therapies?: A meta-analytic review. Clinical Psychology Review, 30, 710720. https://doi.org/https://doi.org/10.1016/j.cpr.2010.05.003Google Scholar
Toomey, E., Hardeman, W., Hankonen, N. et al. (2019). Focusing on fidelity: Recommendations for improving intervention fidelity within trials of health behavioral interventions. https://doi.org/10.13140/RG.2.2.22329.11367Google Scholar
Trafimow, D. (2012). The role of auxiliary assumptions for the validity of manipulations and measures. Theory and Psychology, 22, 486498. https://doi.org/10.1177/0959354311429996Google Scholar
Triandis, H. C. (1977). Interpersonal Behavior. Monterey, CA: Brookes/Cole.Google Scholar
Trout, J. D. (2004). The philosophical legacy of Meehl (1978): Confirmation theory, theory quality, and scientific epistemology. Applied and Preventive Psychology, 11, 7376. https://doi.org/10.1016/j.appsy.2004.02.013Google Scholar
Turner, J. C., Hogg, M. A., Oakes, P. J., Reicher, S. D., & Wetherell, M. S. (1987). Rediscovering the Social Group: A Self-Categorization Theory. Cambridge, MA: Basil Blackwell.Google Scholar
Wallot, S., & Kelty-Stephen, D. G. (2018). Interaction-dominant causation in mind and brain, and its implication for questions of generalization and replication. Minds and Machines, 28, 353374. https://doi.org/10.1007/s11023-017-9455-0Google Scholar
Walton, H., Spector, A., Tombor, I., & Michie, S. (2017). Measures of fidelity of delivery of, and engagement with, complex, face-to-face health behaviour change interventions: A systematic review of measure quality. British Journal of Health Psychology, 22, 872903. https://doi.org/10.1111/bjhp.12260Google Scholar
Ward, P. (2011). A minimum price for alcohol? House of Commons Standard Note SN/HA/5021, London.Google Scholar
Webb, T. L., Joseph, J., Yardley, L., & Michie, S. (2010). Using the internet to promote health behavior change: A systematic review and meta-analysis of the impact of theoretical basis, use of behavior change techniques, and mode of delivery on efficacy. Journal of Medical Internet Research, 12, e4. https://doi.org/10.2196/jmir.1376Google Scholar
Weinstein, N. D. (1993). Testing four competing theories of health-protective behavior. Health Psychology, 12, 324333. https://doi.org/10.1037/0278-6133.12.4.324Google Scholar
West, R., Godinho, C. A., Bohlen, L. C. et al. (2019). Development of a formal system for representing behaviour-change theories. Nature Human Behaviour, 3, 526536. https://doi.org/10.1038/s41562-019-0561-2Google Scholar
Wilson, T. E., Hennessy, E. A., Falzon, L., Boyd, R., Kronish, I. M., & Birk, J. L. (2020). Effectiveness of interventions targeting self-regulation to improve adherence to chronic disease medications: A meta-review of meta-analyses. Health Psychology Review, 14, 66–85. https://doi.org/10.1080/17437199.2019.1706615Google Scholar

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