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The Role of the Subjective Importance of Smoking (SIMS) in Cessation and Abstinence

Published online by Cambridge University Press:  02 April 2018

Daniel Rodriguez ,
Tiffanie Goulazian ,
Andrew A. Strasser ,
Jennifer O'Loughlin ,
Erika N. Dugas ,
Chol Kuoiloi ,
Brian L. Hitsman  and
Robert Schnoll
Daniel Rodriguez*
Affiliation:
Urban Public Health and Nutrition, La Salle University, Philadelphia, Pennsylvania
Tiffanie Goulazian
Affiliation:
Urban Public Health and Nutrition, La Salle University, Philadelphia, Pennsylvania
Andrew A. Strasser
Affiliation:
Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania
Jennifer O'Loughlin
Affiliation:
Centre de recherche du centre hospitalier de l'Université de Montréal (CRCHUM), Montreal, QC, Canada Department of Social and Preventive Medicine, Université de Montréal, Montreal, QC, Canada Institut national de sante publique du Quebec, Montreal, Quebec, Canada
Erika N. Dugas
Affiliation:
Centre de recherche du centre hospitalier de l'Université de Montréal (CRCHUM), Montreal, QC, Canada
Chol Kuoiloi
Affiliation:
Urban Public Health and Nutrition, La Salle University, Philadelphia, Pennsylvania
Brian L. Hitsman
Affiliation:
Department of Preventative Medicine, Northwestern University, Chicago, Illinois
Robert Schnoll
Affiliation:
Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania
*
Address for correspondence: Daniel Rodriguez, Ph.D., 1900 West Olney Avenue, Philadelphia, PA 19141. Email: [email protected]
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Abstract

Introduction: Each year about two thirds of U.S. smokers make a quit attempt. Yet, less than 5% remain abstinent three months post-quit date. One factor that may affect abstinence is negative feelings about the self-associated with being a smoker (disequilibrium), particularly if smoking is important to the sense of self and one is trying to quit.

Aims: We evaluated a multivariate structural equation model proposing that smoking's subjective importance to a smoker would influence carbon monoxide verified smoking abstinence at 24 weeks (post-quit date). Further, we assessed whether the relation would be moderated by the smoker's experience of disequilibrium.

Methods: Participants were 440 regular smokers taking part in a clinical trial assessing the effectiveness of different durations of nicotine replacement therapy use. Participants completed the subjective importance of smoking survey at baseline and were assessed for carbon monoxide verified seven-day point prevalence abstinence at 24 weeks

Results: Using exploratory structural equation modelling, the subjective importance of smoking was associated with point prevalence abstinence at 24 weeks, but only for smokers with high disequilibrium.

Conclusions: The results of this study suggest that experiencing negative feelings about being a smoker could motivate smokers to remain abstinent, despite the importance of smoking to the smoker's sense of self.

Type
Original Articles
Information
Journal of Smoking Cessation , Volume 14 , Issue 1 , March 2019 , pp. 1 - 11
Copyright
Copyright © The Author(s) 2018 

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References

Agaku, I. T., King, B. A., Dube, S. R., Control, C. f. D., & Prevention. (2014). Current cigarette smoking among adults-United States, 2005–2012. Morbidity and Mortality Weekly Report, 63 (2), 29–34.Google Scholar
Asparouhov, T., & Muthén, B. (2009). Exploratory structural equation modeling. Structural Equation Modeling, 16, 397–438.Google Scholar
Beck, A. T., Epstein, N., Brown, G., & Steer, R. A. (1988). An inventory for measuring clinical anxiety: Psychometric properties. Journal of Consulting and Clinical Psychology, 56 (6), 893.Google Scholar
Berg, C. J., Parelkar, P. P., Lessard, L., Escoffery, C., Kegler, M. C., Sterling, K. L. et al. (2010). Defining “smoker”: College student attitudes and related smoking characteristics. Nicotine & Tobacco Research, 12, 963–969.Google Scholar
CDC. (2015, 01/23/2015). Current cigarette smoking among adults in the United States. Retrieved 07/03/2015, from http://www.cdc.gov/tobacco/data_statistics/fact_sheets/adult_data/cig_smoking/.Google Scholar
Cobb, L. K., McAdams-DeMarco, M. A., Huxley, R. R., Woodward, M., Koton, S., Coresh, J. et al. (2014). The association of spousal smoking status with the ability to quit smoking: The atherosclerosis risk in communities study. American Journal of Epidemiology, 179 (10), 1182–1187. doi: 10.1093/aje/kwu041.Google Scholar
Danaei, G., Ding, E. L., Mozaffarian, D., Taylor, B., Rehm, J., Murray, C. J. et al. (2009). The preventable causes of death in the United States: Comparative risk assessment of dietary, lifestyle, and metabolic risk factors. PLoS Medicine, 6 (4), 28.Google Scholar
Dudovitz, R. N., Li, N., & Chung, P. J. (2013). Behavioral self-concept as predictor of teen drinking behaviors. Academic Pediatrics, 13 (4), 316–321.Google Scholar
Epstein, S. (1973). The self-concept revisited: Or a theory of a theory. American Psychologist, 28 (5), 404.Google Scholar
Frazier, L. D., Vaccaro, J. A., Garcia, S., Fallahazad, N., Rathi, K., Shrestha, A. et al. (2015). Diet self-efficacy and physical self-concept of college students at risk for eating disorders. J Behav Health, 4 (4), 97–100.Google Scholar
Gibbons, F. X., & Gerrard, M. (1995). Predicting young adults' health risk behavior. Journal of Personality and Social Psychology, 69 (3), 505.Google Scholar
Grunberg, N. E., & Barry, E. S. (2015). Tobacco use. In Whitbourne, S. K. (Ed.), The encyclopedia of adulthood and aging (pp. 1402–1426). Hoboken, NJ: John Wiley & Sons, Inc.Google Scholar
Heatherton, T. F., Kozlowski, L. T., Frecker, R. C., & FAGERSTROM, K. O. (1991). The Fagerström test for nicotine dependence: A revision of the Fagerstrom Tolerance Questionnaire. British Journal of Addiction, 86 (9), 1119–1127.Google Scholar
Hensel, D. J., Fortenberry, J. D., O'Sullivan, L. F., & Orr, D. P. (2011). The developmental association of sexual self-concept with sexual behavior among adolescent women. Journal of adolescence, 34 (4), 675–684.Google Scholar
Hiscock, R., Bauld, L., Amos, A., Fidler, J. A., & Munafo, M. (2012). Socioeconomic status and smoking: A review. Annals of the New York Academy of Sciences, 1248, 107–123. doi: 10.1111/j.1749-6632.2011.06202.x.Google Scholar
Islami, F., Torre, L. A., & Jemal, A. (2015). Global trends of lung cancer mortality and smoking prevalence. Translational Lung Cancer Research, 4 (4), 327.Google Scholar
Islami, F., Ward, E. M., Jacobs, E. J., Ma, J., Goding Sauer, A., Lortet-Tieulent, J. et al. (2015). Potentially preventable premature lung cancer deaths in the USA if overall population rates were reduced to those of educated whites in lower-risk states. Cancer Causes & Control, 26 (3), 409–418. doi: 10.1007/s10552-014-0517-9.Google Scholar
Jackson, D. L., Gillaspy, J. A., & Purc-Stephenson, R. (2009). Reporting practices in confirmatory factor analysis: An overview and some recommendations. Psychological Methods, 14 (1), 6–23. doi: 10.1037/a0014694.Google Scholar
Jha, P., & Peto, R. (2014). Global effects of smoking, of quitting, and of taxing tobacco. New England Journal of Medicine, 370 (1), 60–68.Google Scholar
Kenny, D. A. (2015). Measuring model fit. Retrieved November 9, 2017, 2017, from http://davidakenny.net/cm/fit.htm.Google Scholar
Kenny, D. A., Kaniskan, B., & McCoach, D. B. (2015). The performance of RMSEA in models with small degrees of freedom. Sociological Methods & Research, 44 (3), 486–507.Google Scholar
Lavinghouze, S. R., & Malarcher, A. (2016). Cancer-related news from the CDC: Trends in quit attempts among adult cigarette smokers in the United States. Oncology Times, 38 (1), 36–38.Google Scholar
Lindgren, K. P., Neighbors, C., Gasser, M. L., Ramirez, J. J., & Cvencek, D. (2016). A review of implicit and explicit substance self-concept as a predictor of alcohol and tobacco use and misuse. The American Journal of Drug and Alcohol Abuse, 1–10. doi: 10.1080/00952990.2016.1229324.Google Scholar
Lukowski, A. V., Morris, C. D., Young, S. E., & Tinkelman, D. (2015). Quitline outcomes for smokers in 6 states: Rates of successful quitting vary by mental health status. Nicotine & Tobacco Research, 17 (8), 924–930.Google Scholar
Marsh, H. W., Muthén, B., Asparouhov, A., Ludtke, O., Robitzsch, A., Morin, A. J. S. et al. (2009). Exploratory structural equation modeling, integrating CFA and EFA: Application to students' evaluations of university teaching. Structural Equation Modeling, 16, 439–476.Google Scholar
Masterson, J. F. (1985). The real self: A developmental, self and object relations approach. New York: Brunner/Mazel.Google Scholar
Meijer, E., Gebhardt, W. A., Dijkstra, A., Willemsen, M. C., & Van Laar, C. (2015). Quitting smoking: The importance of non-smoker identity in predicting smoking behaviour and responses to a smoking ban. Psychology & Health, 30 (12), 1387–1409.Google Scholar
Muthén, B. O. (1998-2004a). Mplus technical appendices. Los Angeles, CA: Muthén & Muthén.Google Scholar
Muthén, B. O. (1998-2004b). Mplus technical appendices. Los Angeles, CA: Muthén & Muthén.Google Scholar
Muthén, B. O., du Toit, S. H. C., & Spisic, D. (1997). Robust inference using weighted least squares and quadratic estimating equations in latent variable modeling with categorical and continuous outcomes. Unpublished manuscript.Google Scholar
Muthén, L. K., & Muthén, B. O. (1998-2004). Mplus user's guide (3rd ed.). Los Angeles, CA: Muthén& Muthén.Google Scholar
O'Loughlin, J., Dugas, E. N., Brunet, J., DiFranza, J., Engert, J. C., Gervais, A. et al. (2015). Cohort profile: The nicotine dependence in teens (NDIT) study. International Journal of Epidemiology, 44 (5), 1537–1546.Google Scholar
Piaget, J. (1951). Organization and Pathology of thought. In Rapaport, D. (Ed.), Selected sources (pp. 176–192). New York and London: Columbia University Press.Google Scholar
Pulvers, K., Scheuermann, T. S., Romero, D. R., Basora, B., Luo, X., & Ahluwalia, J. S. (2014). Classifying a Smoker scale in adult daily and nondaily smokers. Nicotine & Tobacco Research, 16 (5), 591–599.Google Scholar
Rafful, C., García-Rodríguez, O., Wang, S., Secades-Villa, R., Martínez-Ortega, J. M., & Blanco, C. (2013). Predictors of quit attempts and successful quit attempts in a nationally representative sample of smokers. Addictive Behaviors, 38 (4), 1920–1923.Google Scholar
Raupach, T., Brown, J., Herbec, A., Brose, L., & West, R. (2014). A systematic review of studies assessing the association between adherence to smoking cessation medication and treatment success. Addiction, 109 (1), 35–43. doi: 10.1111/add.12319.Google Scholar
Rodriguez, D. (2000). Self and adaptation: Defining the healthy self. Paper presented at the Self-Concept Theory, Research and Practice: Advances from the New Millenium, Sydney, Australia.Google Scholar
Rodriguez, D., & Audrain-McGovern, J. (2005). Physical activity, global physical self-concept, and adolescent smoking. Annals of Behavioral Medicine, 30 (3), 251–259. doi: 10.1207/s15324796abm3003_9.Google Scholar
Rodriguez, D., Dunton, G. F., Tscherne, J., & Sass, J. (2008). Physical activity and adolescent smoking: A moderated mediation model. Mental Health and Physical Activity, 1 (1), 17–25.Google Scholar
Schnoll, R. A., Goelz, P. M., Veluz-Wilkins, A., Blazekovic, S., Powers, L., Leone, F. T. et al. (2015). Long-term nicotine replacement therapy: A randomized clinical trial. JAMA Internal Medicine, 175 (4), 504–511.Google Scholar
Shadel, W. G., & Mermelstein, R. (1996). Individual differences in self-concept among smokers attempting to quit: Validation and predictive utility of measures of the smoker self-concept and abstainer self-concept. Annals of Behavioral Medicine, 18 (3), 151–156.Google Scholar
Smit, E. S., Hoving, C., Schelleman-Offermans, K., West, R., & de Vries, H. (2014). Predictors of successful and unsuccessful quit attempts among smokers motivated to quit. Addictive Behaviors, 39 (9), 1318–1324. doi: https://doi.org/10.1016/j.addbeh.2014.04.017.Google Scholar
Snaith, R. P., Hamilton, M., Morley, S., Humayan, A., Hargreaves, D., & Trigwell, P. (1995). A scale for the assessment of hedonic tone the Snaith-Hamilton Pleasure Scale. British Journal of Psychiatry, 167 (1), 99–103.Google Scholar
Stephens, N. M., Markus, H. R., & Fryberg, S. A. (2012). Social class disparities in health and education: Reducing inequality by applying a sociocultural self model of behavior. Psychological Review, 119 (4), 723–744. doi: 10.1037/a0029028.Google Scholar
Stevens, J. P. (2002). Applied multivariate statistics for the social sciences (4th ed.). Mahwah, NJ: Lawrence Erlbaum Associates.Google Scholar
Strasser, A. A., Orom, H., Tang, K. Z., Dumont, R. L., Cappella, J. N., & Kozlowski, L. T. (2011). Graphic-enhanced information improves perceived risks of cigar smoking. Addictive Behaviors, 36 (8), 865–869.Google Scholar
Thomas, C. M. (2007). The influence of self-concept on adherence to recommended health regimens in adults with heart failure. Journal of Cardiovascular Nursing, 22 (5), 405–416.Google Scholar
Tombor, I., Shahab, L., Brown, J., & West, R. (2013). Positive smoker identity as a barrier to quitting smoking: Findings from a national survey of smokers in England. Drug and Alcohol Dependence, 133 (2), 740–745. doi: https://doi.org/10.1016/j.drugalcdep.2013.09.001.Google Scholar
Tombor, I., Shahab, L., Herbec, A., Neale, J., Michie, S., & West, R. (2015). Smoker identity and its potential role in young adults’ smoking behavior: A meta-ethnography. Health Psychology, 34 (10), 992–1003. doi: 10.1037/hea0000191.Google Scholar
van den Putte, B., Yzer, M., Willemsen, M. C., & de Bruijn, G.-J. (2009). The effects of smoking self-identity and quitting self-identity on attempts to quit smoking. Health Psychology, 28 (5), 535.Google Scholar
Vangeli, E., & West, R. (2012). Transition towards a ‘non-smoker’ identity following smoking cessation: An interpretative phenomenological analysis. British Journal of Health Psychology, 17 (1), 171–184. doi: 10.1111/j.2044-8287.2011.02031.x.Google Scholar
Watson, D., Clark, L. A., & Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: The PANAS scales. Journal of Personality and Social Psychology, 54 (6), 1063.Google Scholar
Wigfield, A., & Karpathian, M. (1991). Who am I and what can I do? Children's self-concepts and motivation in achievement situations. Educational Psychologist, 26 (3–4), 233–261.Google Scholar
Zhu, S.-H., Lee, M., Zhuang, Y.-L., Gamst, A., & Wolfson, T. (2012). Interventions to increase smoking cessation at the population level: How much progress has been made in the last two decades? Tobacco Control, 21 (2), 110–118.Google Scholar
Zhuang, Y.-L., Gamst, A. C., Cummins, S. E., Wolfson, T., & Zhu, S.-H. (2015). Comparison of smoking cessation between education groups: Findings from 2 US National Surveys over 2 decades. American Journal of Public Health, 105 (2), 373–379.Google Scholar