No food for thought: Moderating effects of delay discounting and future time perspective on the relation between income and food insecurity

American Journal of Clinical Nutrition

Volumn 100, Issue 3, 2014, Pages 884-890

  Epstein, Leonard H ^a   Jankowiak, Noelle ^a   Lin, Henry ^a   Paluch, Rocco ^a   Koffarnus, Mikhail N ^b   Bickel, Warren K ^b  

^a UNIVERSITY AT BUFFALO   (United States)

^b VIRGINIA TECH CARILION SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; BODY MASS; COST CONTROL; DELAY DISCOUNTING; DRINKING BEHAVIOR; FEMALE; FINANCIAL MANAGEMENT; FOOD INSECURITY; FOOD SECURITY; HUMAN; INCOME; LOWEST INCOME GROUP; MALE; SMOKING; TIME PERCEPTION; ADAPTIVE BEHAVIOR; AGING; ATTENTION; ATTITUDE TO HEALTH; CATERING SERVICE; CLINICAL TRIAL; COMPARATIVE STUDY; DIET; ECONOMICS; FAMILY SIZE; INTERNET; PSYCHOLOGICAL MODEL; PSYCHOLOGY; QUESTIONNAIRE; UNITED STATES; YOUNG ADULT;

ADAPTATION, PSYCHOLOGICAL; ADULT; AGING; ATTENTION; ATTITUDE TO HEALTH; DELAY DISCOUNTING; DIET; FAMILY CHARACTERISTICS; FEMALE; FOOD SUPPLY; HUMANS; INCOME; INTERNET; MALE; MODELS, PSYCHOLOGICAL; QUESTIONNAIRES; UNITED STATES; YOUNG ADULT;

EID: 84907334580     PISSN: 00029165     EISSN: 19383207     Source Type: Journal    
DOI: 10.3945/ajcn.113.079772     Document Type: Article

References (36)

1. Coleman-Jensen A, Nord M, Singh A. Household food security in the United States in 2012, ERR-155. Washington, DC:US Department of Agriculture, Economic Research Service, 2013.
2. Franklin B, Jones A, Love D, Puckett S, Macklin J, White-Means S. Exploring mediators of food insecurity and obesity: A review of recent literature. J Community Health 2012;37:253-64.
3. Anderson SA. Core indicators of nutritional state for difficult-to-sample populations. J Nutr 1990;120:1559-600.
4. Drewnowski A. Fat and sugar: an economic analysis. J Nutr 2003;133:838S-40S. (Pubitemid 36268364)
5. Drewnowski A. Obesity and the food environment: dietary energy density and diet costs. Am J Prev Med 2004;27:154-62. (Pubitemid 39278335)
6. Drewnowski A, Specter SE. Poverty and obesity: the role of energy density and energy costs. Am J Clin Nutr 2004;79:6-16. (Pubitemid 41132056)
7. Lin H, Carr KA, Fletcher KD, Epstein LH. Food reinforcement partially mediates the effect of socioeconomic status on body mass index. Obesity (Silver Spring) 2013;21:1307-12.
8. Townsend MS, Peerson J, Love B, Achterberg C, Murphy SP. Food insecurity is positively related to overweight in women. J Nutr 2001;131:1738-45. (Pubitemid 32520440)
9. Shah AK, Mullainathan S, Shafir E. Some consequences of having too little. Science 2012;338:682-5.
10. Mani A, Mullainathan S, Shafir E, Zhao J. Poverty impedes cognitive function. Science 2013;341:976-80.
11. Mullainathan S, Shafir E. Scarcity: why having too little means so much. New York, NY: Henry Holt and Company, 2013.
12. de Bem Lignani J, Sichieri R, Burlandy L, Salles-Costa R. Changes in food consumption among the Programa Bolsa Familia participant families in Brazil. Public Health Nutr 2011;14:785-92.
13. Forde I, Chandola T, Garcia S, Marmot MG, Attanasio O. The impact of cash transfers to poor women in Colombia on BMI and obesity: prospective cohort study. Int J Obes (Lond) 2012;36:1209-14.
14. Mazur JE. An adjusting procedure for studying delayed reinforcement. In: Commons ML, Mazur JE, Nevin JA, Rachlin H, eds. Quantitative analyses of behavior: the effect of delay and of intervening events on reinforcement value. Hillsdale, NJ: Lawrence Erlbaum Associates Inc, 1987:55-73.
15. Zimbardo PG, Boyd JN. Putting time in perspective: a valid, reliable individual-differences metric. J Pers Soc Psychol 1999;77:1271-88.
16. Strathman A, Gleicher F, Boninger DS, Edwards CS. The consideration of future consequences - Weighing immediate and distant outcomes of behavior. J Pers Soc Psychol 1994;66:742-52.
17. Picone G, Sloan F, Taylor D. Effects of risk and time preference and expected longevity on demand for medical tests. J Risk Uncertain 2004;28:39-53. (Pubitemid 39014990)
18. Bickel WK, Wilson GA, Franck CT, Mueller TE, Jarmolowicz DP, Koffarnus MN, Fede SJ. Using crowdsourcing to compare temporal, social temporal, and probability discounting among obese and non-obese individuals. Appetite 2014;75:82-9.
19. Johnson MW, Bickel WK. An algorithm for identifying nonsystematic delay-discounting data. Exp Clin Psychopharmacol 2008;16:264-74. (Pubitemid 351822570)
20. Bickel G, Nord M, Price C, Hamilton W, Cook J. Guide to measuring household food security. Alexandria, VA: US Department of Agriculture, Food and Nutrition Service, 2000.
21. Blumberg SJ, Bialostosky K, Hamilton WL, Briefel RR. The effectiveness of a short form of the household food security scale. Am J Public Health 1999;89:1231-4. (Pubitemid 29359579)
22. Systat Software. Systat 11.0. Richmond, CA: SYSTAT Software Inc, 2004.
23. StataCorp. Stata statistical software: release 12. College Station, TX: StataCorp LP, 2011.
24. Epstein LH, Leddy JJ, Temple JL, Faith MS. Food reinforcement and eating: A multilevel analysis. Psychol Bull 2007;133:884-906.
25. Raynor HA, Epstein LH. The relative-reinforcing value of food under differing levels of food deprivation and restriction. Appetite 2003;40:15-24. (Pubitemid 36288459)
26. Black AC, Rosen MI. A money management-based substance use treatment increases valuation of future rewards. Addict Behav 2011;36:125-8.
27. Daniel TO, Stanton CM, Epstein LH. The future is now: comparing the effect of episodic future thinking on impulsivity in lean and obese individuals. Appetite 2013;71:120-5.
28. Daniel TO, Stanton CM, Epstein LH. The future is now: reducing impulsivity and energy intake using episodic future thinking. Psychol Sci 2013;24:2339-42.
29. Wesley MJ, Bickel WK. Remember the future II: meta-analyses and functional overlap of working memory and delay discounting. Biol Psychiatry 2014;75:435-48.
30. Bickel WK, Yi R, Landes RD, Hill PF, Baxter C. Remember the future: working memory training decreases delay discounting among stimulant addicts. Biol Psychiatry 2011;69:260-5.
31. Rolls BJ, Bell EA, Castellanos VH, Chow M, Pelkman CL, Thorwart ML. Energy density but not fat content of foods affected energy intake in lean and obese women. Am J Clin Nutr 1999;69:863-71. (Pubitemid 29205058)
32. Bell EA, Castellanos VH, Pelkman CL, Thorwart ML, Rolls BJ. Energy density of foods affects energy intake in normal-weight women. Am J Clin Nutr 1998;67:412-20. (Pubitemid 28110461)
33. Leahy KE, Birch LL, Rolls BJ. Reducing the energy density of multiple meals decreases the energy intake of preschool-age children. Am J Clin Nutr 2008;88:1459-68.
34. Rolls BJ, Bell EA, Thorwart ML. Water incorporated into a food but not served with a food decreases energy intake in lean women. Am J Clin Nutr 1999;70:448-55. (Pubitemid 29463437)
35. Katz DL, Doughty K, Njike V, Treu JA, Reynolds J, Walker J, Smith E, Katz C. A cost comparison of more and less nutritious food choices in US supermarkets. Public Health Nutr 2011;14:1693-9.
36. Jarmolowicz DP, Bickel WK, Carter AE, Franck CT, Mueller ET. Using crowdsourcing to examine relations between delay and probability discounting. Behav Processes 2012;91:308-12.