Hostname: page-component-586b7cd67f-2brh9 Total loading time: 0 Render date: 2024-11-26T15:53:38.710Z Has data issue: false hasContentIssue false

Steep discounting of delayed monetary and food rewards in obesity: a meta-analysis

Published online by Cambridge University Press:  15 June 2016

M. Amlung*
Affiliation:
Peter Boris Centre for Addictions Research, McMaster University/St. Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada
T. Petker
Affiliation:
Peter Boris Centre for Addictions Research, McMaster University/St. Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada
J. Jackson
Affiliation:
Peter Boris Centre for Addictions Research, McMaster University/St. Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada
I. Balodis
Affiliation:
Peter Boris Centre for Addictions Research, McMaster University/St. Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada
J. MacKillop
Affiliation:
Peter Boris Centre for Addictions Research, McMaster University/St. Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada Homewood Research Institute, Homewood Health Centre, Guelph, Ontario, Canada
*
*Address for correspondence: M. Amlung, Ph.D., Peter Boris Centre for Addictions Research, McMaster University/St. Joseph's Healthcare Hamilton, 100 West 5th Street, Hamilton, Ontario L8N 3K7, Canada. (Email: [email protected])

Abstract

Background

An increasing number of studies have investigated delay discounting (DD) in relation to obesity, but with mixed findings. This meta-analysis synthesized the literature on the relationship between monetary and food DD and obesity, with three objectives: (1) to characterize the relationship between DD and obesity in both case–control comparisons and continuous designs; (2) to examine potential moderators, including case–control v. continuous design, money v. food rewards, sample sex distribution, and sample age (<18 v. >18 years); and (3) to evaluate publication bias.

Method

From 134 candidate articles, 39 independent investigations yielded 29 case–control and 30 continuous comparisons (total n = 10 278). Random-effects meta-analysis was conducted using Cohen's d as the effect size. Publication bias was evaluated using fail-safe N, Begg–Mazumdar and Egger tests, meta-regression of publication year and effect size, and imputation of missing studies.

Results

The primary analysis revealed a medium effect size across studies that was highly statistically significant (d = 0.43, p < 10−14). None of the moderators examined yielded statistically significant differences, although notably larger effect sizes were found for studies with case–control designs, food rewards and child/adolescent samples. Limited evidence of publication bias was present, although the Begg–Mazumdar test and meta-regression suggested a slightly diminishing effect size over time.

Conclusions

Steep DD of food and money appears to be a robust feature of obesity that is relatively consistent across the DD assessment methodologies and study designs examined. These findings are discussed in the context of research on DD in drug addiction, the neural bases of DD in obesity, and potential clinical applications.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2016 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Ainslie, G (1975). Specious reward: a behavioral theory of impulsiveness and impulse control. Psychological Bulletin 82, 463496.CrossRefGoogle ScholarPubMed
Amlung, M, Sweet, LH, Acker, J, Brown, CL, MacKillop, J (2014). Dissociable brain signatures of choice conflict and immediate reward preferences in alcohol use disorders. Addiction Biology 19, 743753.CrossRefGoogle ScholarPubMed
Appelhans, BM, Waring, ME, Schneider, KL, Pagoto, SL, DeBiasse, MA, Whited, MC, Lynch, EB (2012). Delay discounting and intake of ready-to-eat and away-from-home foods in overweight and obese women. Appetite 59, 576584.CrossRefGoogle ScholarPubMed
Appelhans, BM, Woolf, K, Pagoto, SL, Schneider, KL, Whited, MC, Liebman, R (2011). Inhibiting food reward: delay discounting, food reward sensitivity, and palatable food intake in overweight and obese women. Obesity 19, 21752182.Google Scholar
Begg, CB, Mazumdar, M (1994). Operating characteristics of a rank correlation test for publication bias. Biometrics 50, 10881101.CrossRefGoogle Scholar
Best, JR, Theim, KR, Gredysa, DM, Stein, RI, Welch, RR, Saelens, BE, Perri, MG, Schechtman, KB, Epstein, LH, Wilfley, DE (2012). Behavioral economic predictors of overweight children's weight loss. Journal of Consulting and Clinical Psychology 80, 10861096.Google Scholar
Bickel, WK, Jarmolowicz, DP, Mueller, ET, Koffarnus, MN, Gatchalian, KM (2012). Excessive discounting of delayed reinforcers as a trans-disease process contributing to addiction and other disease-related vulnerabilities: emerging evidence. Pharmacology and Therapeutics 134, 287297.CrossRefGoogle ScholarPubMed
Bickel, WK, Johnson, MW, Koffarnus, MN, MacKillop, J, Murphy, JG (2014). The behavioral economics of substance use disorders: reinforcement pathologies and their repair. Annual Review of Clinical Psychology 10, 641677.CrossRefGoogle ScholarPubMed
Bickel, WK, Odum, AL, Madden, GJ (1999). Impulsivity and cigarette smoking: delay discounting in current, never, and ex-smokers. Psychopharmacology 146, 447454.CrossRefGoogle ScholarPubMed
Bickel, WK, Vuchinich, RE (2000). Reframing Health Behavior Change with Behavioral Economics. Lawrence Erlbaum Associates: Mahwah, NJ.Google Scholar
Boettiger, CA, Mitchell, JM, Tavares, VC, Robertson, M, Joslyn, G, D'Esposito, M, Fields, HL (2007). Immediate reward bias in humans: fronto-parietal networks and a role for the catechol-O-methyltransferase 158Val/Val genotype. Journal of Neuroscience 27, 1438314391.Google Scholar
Bongers, P, Van Giessen, E, Roefs, A, Nederkoorn, C, Booij, J, Van Brink, W, Jansen, A (2015). Being impulsive and obese increases susceptibility to speeded detection of high-calorie foods. Health Psychology 34, 677685.Google Scholar
Borghans, L, Golsteyn, BH (2006). Time discounting and the body mass index. Evidence from the Netherlands. Economics and Human Biology 4, 3961.Google Scholar
Brace, A, Yeomans, MR (2016). The reinforcing value of palatable snack foods and its relationship to subtypes of behavioural and self-report impulsivity. Eating Behaviors 21, 1823.Google Scholar
Buono, FD, Whiting, SW, Sprong, ME (2015). Comparison of temporal discounting among obese college students and obese adults. Behavior Analysis: Research and Practice 15, 139147.Google Scholar
Chabris, CF, Laibson, D, Morris, CL, Schuldt, JP, Taubinsky, D (2008). Individual laboratory-measured discount rates predict field behavior. Journal of Risk and Uncertainty 37, 237269.CrossRefGoogle ScholarPubMed
Claus, ED, Kiehl, KA, Hutchison, KE (2011). Neural and behavioral mechanisms of impulsive choice in alcohol use disorder. Alcoholism: Clinical and Experimental Research 35, 12091219.Google Scholar
Coffey, SF, Gudleski, GD, Saladin, ME, Brady, KT (2003). Impulsivity and rapid discounting of delayed hypothetical rewards in cocaine-dependent individuals. Experimental and Clinical Psychopharmacology 11, 1825.Google Scholar
Cohen, J (1988). Statistical Power Analysis for the Behavioral Sciences. Lawrence Erlbaum Associates: Hillsdale, NJ.Google Scholar
Daniel, TO, Stanton, CM, Epstein, LH (2013). The future is now: reducing impulsivity and energy intake using episodic future thinking. Psychological Science 24, 23392342.CrossRefGoogle ScholarPubMed
Dassen, FCM, Houben, K, Jansen, A (2015). Time orientation and eating behavior: unhealthy eaters consider immediate consequences, while healthy eaters focus on future health. Appetite 91, 1319.CrossRefGoogle ScholarPubMed
Dassen, FCM, Jansen, A, Nederkoorn, C, Houben, K (2016). Focus on the future: episodic future thinking reduces discount rate and snacking. Appetite 96, 327332.Google Scholar
Davis, C, Curtis, C, Levitan, RD, Carter, JC, Kaplan, AS, Kennedy, JL (2011). Evidence that “food addiction” is a valid phenotype of obesity. Appetite 57, 711717.Google Scholar
Duckworth, AL, Tsukayama, E, Geier, AB (2010). Self-controlled children stay leaner in the transition to adolescence. Appetite 54, 304308.Google Scholar
Duval, S, Tweedie, R (2000). Trim and fill: a simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis. Biometrics 56, 455463.Google Scholar
Egger, M, Smith, GD, Schneider, M, Minder, C (1997). Bias in meta-analysis detected by a simple, graphical test. BMJ 315, 629634.CrossRefGoogle ScholarPubMed
Eisenstein, SA, Gredysa, DM, Antenor-Dorsey, JA, Green, L, Arbeláez, AM, Koller, JM, Black, KJ, Perlmutter, JS, Moerlein, SM, Hershey, T (2015). Insulin, central dopamine D2 receptors, and monetary reward discounting in obesity. PLOS ONE 10, e0133621.Google Scholar
Epstein, LH, Jankowiak, N, Fletcher, KD, Carr, KA, Nederkoorn, C, Raynor, HA, Finkelstein, E (2014). Women who are motivated to eat and discount the future are more obese. Obesity 22, 13941399.Google Scholar
Epstein, LH, Richards, JB, Saad, FG, Paluch, RA, Roemmich, JN, Lerman, C (2003). Comparison between two measures of delay discounting in smokers. Experimental and Clinical Psychopharmacology 11, 131138.Google Scholar
Epstein, LH, Saelens, BE (2000). Behavioral economics of obesity: food intake and energy expenditure. In Reframing Health Behavior Change with Behavioral Economics (ed. Bickel, W. K. and Vuchinich, R. E.), pp. 293311. Lawrence Erlbaum Associates: Mahwah, NJ.Google Scholar
Feda, DM, Roemmich, JN, Roberts, A, Epstein, LH (2015). Food reinforcement and delay discounting in zBMI-discordant siblings. Appetite 85, 185189.Google Scholar
Fields, SA, Sabet, M, Peal, A, Reynolds, B (2011). Relationship between weight status and delay discounting in a sample of adolescent cigarette smokers. Behavioural Pharmacology 22, 266268.CrossRefGoogle Scholar
Fields, SA, Sabet, M, Reynolds, B (2013). Dimensions of impulsive behavior in obese, overweight, and healthy-weight adolescents. Appetite 70, 6066.CrossRefGoogle ScholarPubMed
Garza, KB, Ding, M, Owensby, JK, Zizza, CA (2016). Impulsivity and fast-food consumption: a cross-sectional study among working adults. Journal of the Academy of Nutrition and Dietetics 116, 6168.Google Scholar
Garza, KB, Harris, CV, Bolding, MS (2013). Examination of value of the future and health beliefs to explain dietary and physical activity behaviors. Research in Social and Administrative Pharmacy 9, 851862.Google Scholar
Hendrickson, KL, Rasmussen, EB (2013). Effects of mindful eating training on delay and probability discounting for food and money in obese and healthy-weight individuals. Behaviour Research and Therapy 51, 399409.CrossRefGoogle ScholarPubMed
Hendrickson, KL, Rasmussen, EB, Lawyer, SR (2015). Measurement and validation of measures for impulsive food choice across obese and healthy-weight individuals. Appetite 90, 254263.CrossRefGoogle ScholarPubMed
Hoffman, WF, Schwartz, DL, Huckans, MS, McFarland, BH, Meiri, G, Stevens, AA, Mitchell, SH (2008). Cortical activation during delay discounting in abstinent methamphetamine dependent individuals. Psychopharmacology 201, 183193.Google Scholar
Hsu, AS, Vlaev, I (2014). Monetary cost for time spent in everyday physical activities. Social Science and Medicine 108, 7480.CrossRefGoogle ScholarPubMed
Ikeda, S, Kang, MI, Ohtake, F (2010). Hyperbolic discounting, the sign effect, and the body mass index. Journal of Health Economics 29, 268284.Google Scholar
Jackson, J, MacKillop, J (2016). Attention deficit hyperactivity disorder and monetary delay discounting: a meta-analysis of case–control studies. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging. Published online 11 February 2016. doi:10.1016/j.bpsc.2016.01.007.Google ScholarPubMed
Jarmolowicz, DP, Cherry, JB, Reed, DD, Bruce, JM, Crespi, JM, Lusk, JL, Bruce, AS (2014). Robust relation between temporal discounting rates and body mass. Appetite 78, 6367.CrossRefGoogle ScholarPubMed
Johnson, MW, Bickel, WK (2002). Within-subject comparison of real and hypothetical money rewards in delay discounting. Journal for the Experimental Analysis of Behavior 77, 129146.Google Scholar
Kenny, PJ (2011). Common cellular and molecular mechanisms in obesity and drug addiction. Nature Reviews. Neuroscience 12, 638651.CrossRefGoogle ScholarPubMed
Kirby, KN, Petry, NM, Bickel, WK (1999). Heroin addicts have higher discount rates for delayed rewards than non-drug-using controls. Journal of Experimental Psychology: General 128, 7887.Google Scholar
Kishinevsky, FI, Cox, JE, Murdaugh, DL, Stoeckel, LE, Cook, EW, Weller, RE (2012). fMRI reactivity on a delay discounting task predicts weight gain in obese women. Appetite 58, 582592.Google Scholar
Krishnan-Sarin, S, Reynolds, B, Duhig, AM, Smith, A, Liss, T, McFetridge, A, Cavallo, DA, Carroll, KM, Potenza, MN (2007). Behavioral impulsivity predicts treatment outcome in a smoking cessation program for adolescent smokers. Drug and Alcohol Dependence 88, 7982.Google Scholar
Kulendran, M, Vlaev, I, Sugden, C, King, D, Ashrafian, H, Gately, P, Darzi, A (2014). Neuropsychological assessment as a predictor of weight loss in obese adolescents. International Journal of Obesity (2005) 38, 507512.Google Scholar
Lawyer, SR, Boomhower, SR, Rasmussen, EB (2015). Differential associations between obesity and behavioral measures of impulsivity. Appetite 95, 375382.CrossRefGoogle ScholarPubMed
Lim, SL, Bruce, AS (2015). Can't wait to lose weight? Characterizing temporal discounting parameters for weight-loss. Appetite 85, 813.CrossRefGoogle ScholarPubMed
Lu, Q, Tao, F, Hou, F, Zhang, Z, Sun, Y, Xu, Y, Xu, S, Zhao, Y (2014). Cortisol reactivity, delay discounting and percent body fat in Chinese urban young adolescents. Appetite 72, 1320.Google Scholar
MacKillop, J, Amlung, MT, Few, LR, Ray, LA, Sweet, LH, Munafo, MR (2011). Delayed reward discounting and addictive behavior: a meta-analysis. Psychopharmacology 216, 305321.CrossRefGoogle ScholarPubMed
MacKillop, J, Kahler, CW (2009). Delayed reward discounting predicts treatment response for heavy drinkers receiving smoking cessation treatment. Drug and Alcohol Dependence 104, 197203.Google Scholar
Madden, GJ, Begotka, AM, Raiff, BR, Kastern, LL (2003). Delay discounting of real and hypothetical rewards. Experimental and Clinical Psychopharmacology 11, 139145.CrossRefGoogle ScholarPubMed
Madden, GJ, Bickel, WK (2009). Impulsivity: The Behavioral and Neurological Science of Discounting. American Psychological Association: Washington, DC.Google Scholar
Madden, GJ, Petry, NM, Badger, GJ, Bickel, WK (1997). Impulsive and self-control choices in opioid-dependent patients and non-drug-using control participants: drug and monetary rewards. Experimental and Clinical Psychopharmacology 5, 256262.Google Scholar
Manwaring, JL, Green, L, Myerson, J, Strube, MJ, Wilfley, DE (2011). Discounting of various types of rewards by women with and without binge eating disorder: evidence for general rather than specific differences. Psychological Record 61, 561582.Google Scholar
Martin, LE, Pollack, L, McCune, A, Schulte, E, Savage, CR, Lundgren, JD (2015). Comparison of obese adults with poor versus good sleep quality during a functional neuroimaging delay discounting task: a pilot study. Psychiatry Research 234, 9095.Google Scholar
Mazur, JE (1987). An adjusting procedure for studying delayed reinforcement. In Quantitative Analysis of Behavior: Vol 5. The Effects of Delay and Intervening Events on Reinforcement Value (ed. Mazur, J. E., Nevin, J. A. and Rachlin, H.), pp. 5573. Erlbaum: Hillsdale, NJ.Google Scholar
Mole, TB, Irvine, MA, Worbe, Y, Collins, P, Mitchell, SP, Bolton, S, Harrison, NA, Robbins, TW, Voon, V (2015). Impulsivity in disorders of food and drug misuse. Psychological Medicine 45, 771782.CrossRefGoogle ScholarPubMed
Monterosso, J, Ainslie, G, Xu, J, Cordova, X, Domier, CP, London, ED (2007). Frontoparietal cortical activity of methamphetamine-dependent and comparison subjects performing a delay discounting task. Human Brain Mapping 28, 383393.Google Scholar
Myerson, J, Green, L, Warusawitharana, M (2001). Area under the curve as a measure of discounting. Journal of Experimental Analysis of Behavior 76, 235243.Google Scholar
Peters, J, Buchel, C (2010). Episodic future thinking reduces reward delay discounting through an enhancement of prefrontal–mediotemporal interactions. Neuron 66, 138148.Google Scholar
Petry, NM (2001). Delay discounting of money and alcohol in actively using alcoholics, currently abstinent alcoholics, and controls. Psychopharmacology 154, 243250.Google Scholar
Rasmussen, EB, Lawyer, SR, Reilly, W (2010). Percent body fat is related to delay and probability discounting for food in humans. Behavioural Processes 83, 2330.CrossRefGoogle ScholarPubMed
Scheres, A, Lee, A, Sumiya, M (2008). Temporal reward discounting and ADHD: task and symptom specific effects. Journal of Neural Transmission 115, 221226.Google Scholar
Schiff, S, Amodio, P, Testa, G, Nardi, M, Montagnese, S, Caregaro, L, Sellitto, M (2015). Impulsivity toward food reward is related to BMI: evidence from intertemporal choice in obese and normal-weight individuals. Brain and Cognition. Published online 30 October 2015. doi:10.1016/j.bandc.2015.10.001.Google ScholarPubMed
Simmank, J, Murawski, C, Bode, S, Horstmann, A (2015). Incidental rewarding cues influence economic decisions in people with obesity. Frontiers in Behavioral Neuroscience 9, 278.CrossRefGoogle ScholarPubMed
Stewart, LA, Clarke, M, Rovers, M, Riley, RD, Simmonds, M, Stewart, G, Tierney, JF (2015). Preferred Reporting Items for Systematic Review and Meta-Analyses of individual participant data: the PRISMA-IPD Statement. Journal of the American Medical Association 313, 16571665.Google Scholar
Stoeckel, LE, Murdaugh, DL, Cox, JE, Cook, EW, Weller, RE (2013). Greater impulsivity is associated with decreased brain activation in obese women during a delay discounting task. Brain Imaging and Behavior 7, 116128.Google Scholar
Stojek, MM, Fischer, S, Murphy, CM, MacKillop, J (2014). The role of impulsivity traits and delayed reward discounting in dysregulated eating and drinking among heavy drinkers. Appetite 80, 8188.Google Scholar
Vainik, U, Dagher, A, Dubé, L, Fellows, LK (2013). Neurobehavioural correlates of body mass index and eating behaviours in adults: a systematic review. Neuroscience and Biobehavioral Reviews 37, 279299.Google Scholar
Verdejo-García, A, Pérez-Expósito, M, Schmidt-Río-Valle, J, Fernández-Serrano, MJ, Cruz, F, Pérez-García, M, López-Belmonte, G, Martín-Matillas, M, Martín-Lagos, JA, Marcos, A, Campoy, C (2010). Selective alterations within executive functions in adolescents with excess weight. Obesity 18, 15721578.Google Scholar
Volkow, ND, Baler, RD (2015). NOW vs LATER brain circuits: implications for obesity and addiction. Trends in Neurosciences 38, 345352.CrossRefGoogle ScholarPubMed
Volkow, ND, Wise, RA (2005). How can drug addiction help us understand obesity? Nature Neuroscience 8, 555560.Google Scholar
Wang, Y, Beydoun, MA (2007). The obesity epidemic in the United States – gender, age, socioeconomic, racial/ethnic, and geographic characteristics: a systematic review and meta-regression analysis. Epidemiologic Reviews 29, 628.CrossRefGoogle ScholarPubMed
Weller, RE, Cook, EW, Avsar, KB, Cox, JE (2008). Obese women show greater delay discounting than healthy-weight women. Appetite 51, 563569.Google Scholar
Weygandt, M, Mai, K, Dommes, E, Ritter, K, Leupelt, V, Spranger, J, Haynes, J-D (2015). Impulse control in the dorsolateral prefrontal cortex counteracts post-diet weight regain in obesity. NeuroImage 109, 318327.Google Scholar
World Health Organization (2000). Obesity: Preventing and Managing the Global Epidemic. Report of a WHO Consultation. WHO Technical Report Series, 894. WHO: Geneva.Google Scholar
World Health Organization (2011). Waist Circumference and Waist-Hip Ratio: Report of a WHO Expert Consultation. WHO: Geneva.Google Scholar
Yeomans, MR, Leitch, M, Mobini, S (2008). Impulsivity is associated with the disinhibition but not restraint factor from the Three Factor Eating Questionnaire. Appetite 50, 469476.Google Scholar
Yoon, JH, Higgins, ST, Heil, SH, Sugarbaker, RJ, Thomas, CS, Badger, GJ (2007). Delay discounting predicts postpartum relapse to cigarette smoking among pregnant women. Experimental and Clinical Psychopharmacology 15, 176186.Google Scholar
Supplementary material: File

Amlung supplementary material

Table S1 and Figure S1

Download Amlung supplementary material(File)
File 143.9 KB