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Healthy Eating: Approaching the Selection, Preparation, and Consumption of Healthy Food as Choice Behavior

  • Sharlet D. RafaczEmail author
Article
  • 69 Downloads

Abstract

Healthy eating has important well-being and financial implications for our society. As such, it is critical that the field of behavior science and behavior analysis conduct more research in this area so that effective interventions may be developed. One barrier to addressing healthy eating may be conceptual. Far from being a single response, eating is comprised of a series of choice responses. These selection, preparation and consumption responses form a temporally delayed behavioral chain. When designing interventions to address healthy eating, therefore, one must not only consider the specific target response, but alternative response options, and the effect of changing one response on other choices in the chain. The purpose of this article is to refine the analysis of healthy eating behavior, provide examples of research conducted in this area, and discuss how these interventions may influence this chain of responses. It is hoped that by doing so, additional research will be conducted and disseminated so that individuals, organizations, and policy makers can implement more effective interventions for healthy eating.

Keywords

Healthy eating Food Choice behavior Consumer behavior Consumption 

Notes

Compliance with Ethical Standards

Conflict of Interest

The author states that there is no conflict of interest.

References

  1. Agnew, J. L. (1998). The establishing operation in organizational behavior management. Journal of Organizational Behavior Management, 18, 7–19.CrossRefGoogle Scholar
  2. American Nutrition Association. (2011). USDA defines food deserts. Nutrition Digest, 38(2) Retrieved from http://americannutritionassociation.org/newsletter/usda-defines-food-deserts.
  3. Anzman-Frasca, S., Savage, J. S., Marini, M. E., Fisher, J. O., & Birch, L. L. (2012). Repeated exposure and associate conditioning promote preschool children's liking of vegetables. Appetite, 58, 543–553.  https://doi.org/10.1016/j.appet.2011.11.012.CrossRefPubMedGoogle Scholar
  4. Appelhans, B. M., French, S. A., Olinger, T., Bogucki, M., Janssen, I., Avery-Mamer, E. F., & Powell, L. M. (2018). Leveraging delay discounting for health: Can time delays influence food choice? Appetite, 126, 16–25.CrossRefPubMedGoogle Scholar
  5. Baer, D. M., Wolf, M. M., & Risley, T. R. (1968). Some current dimensions of applied behavior analysis. Journal of Applied Behavior Analysis, 1, 91–97.CrossRefPubMedPubMedCentralGoogle Scholar
  6. 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 Preventative Medicine, 34, 74–82.CrossRefGoogle Scholar
  7. Barrish, H. H., Saunders, M., & Wolf, M. M. (1969). Good behavior game: Effects of individual contingencies for group consequences on disruptive behavior in a classroom. Journal of Applied Behavior Analysis, 2, 119–124.CrossRefPubMedPubMedCentralGoogle Scholar
  8. Block, J. P., Chandra, A., McManus, K. D., & Willett, W. C. (2010). Point-of-purchase price and education intervention to reduce consumption of sugary soft drinks. American Journal of Public Health, 100(8), 1427–1433.  https://doi.org/10.2105/AJPH.2009.175687.CrossRefPubMedPubMedCentralGoogle Scholar
  9. Bostow, D. (2011). The personal life of the behavior analyst. The Behavior Analyst, 34(2), 267–282.CrossRefPubMedPubMedCentralGoogle Scholar
  10. Bublitz, M. G., & Peracchio, L. A. (2015). Applying industry practices to promote healthy foods: An exploration of positive marketing outcomes. Journal of Business Research, 68(12), 2484–2493.CrossRefGoogle Scholar
  11. Cassey, H. J., Washio, Y., & Hantula, D. A. (2016). The good nutrition game: Extending the good behavior game to promote fruit and vegetable intake. Delaware Medical Journal, 88(11), 342–345.PubMedGoogle Scholar
  12. Centers for Disease Control. (2017). National diabetes statistics report. Retrieved from http://www.cdc.gov/diabetes/data/statistics-report/index.html
  13. Condrasky, M. D., Griffin, S. G., Catalano, P. M., & Clark, C. (2010). A formative evaluation of the cooking with a chef program. Journal of Extension, 48(2), 2FEA1.Google Scholar
  14. Cooke, L. J., Chambers, L. C., Anez, E. V., Croker, H. A., Boniface, D., Yeomans, M. R., & Wardle, J. (2011). Eating for pleasure or profit: The effect of incentives on children's enjoyment of vegetables. Psychological Science, 22(2), 190–196.  https://doi.org/10.1177/0956797610394662.CrossRefPubMedGoogle Scholar
  15. Cooper, J. O., Heron, T. E., & Heward, W. L. (2007). Applied behavior analysis (2nd ed.). Upper Saddle River, NJ: Pearson Education.Google Scholar
  16. Cornell, C. E., Rodin, J., & Weingarten, H. P. (1989). Stimulus-induced eating when satiated. Physiology & Behavior, 45(4), 695–704.CrossRefGoogle Scholar
  17. Cowburn, G., & Stockley, L. (2005). Consumer understanding and use of nutrition labelling: A systematic review. Public Health Nutrition, 8(1), 21–28.  https://doi.org/10.1079/PHN2004666.
  18. Critchfield, T. S., & Kollins, S. H. (2001). Temporal discounting: basic research and the analysis of socially important behavior. Journal of Applied Behavior Analysis, 34(1), 101–122.  https://doi.org/10.1901/jaba.2001.34-101.CrossRefPubMedPubMedCentralGoogle Scholar
  19. Daniels, A. C. (1994). Bringing out the best in people. New York, NY: McGraw-Hill.Google Scholar
  20. Daniels, S. R. (2006). The consequences of childhood overweight and obesity. Future of Children, 16(1), 47–67.CrossRefPubMedGoogle Scholar
  21. de Wit, H. (1996). Priming effects with drugs and other reinforcers. Experimental and Clinical Psychopharmacology, 4(1), 5–10.CrossRefGoogle Scholar
  22. DiClemente, D. F., & Hantula, D. A. (2003). Applied behavioral economics and consumer choice. Journal of Economic Psychology, 24, 589–602.CrossRefGoogle Scholar
  23. Drewnowski, A. (2010). The cost of US foods as related to their nutritive value. American Journal of Clinical Nutrition, 92(5), 1181–1188.CrossRefPubMedGoogle Scholar
  24. Dubbert, P. M., Johnson, W. G., Schlundt, D. G., & Montague, N. W. (1984). The influence of caloric information on cafeteria food choices. Journal of Applied Behavior Analysis, 17(1), 85–92.  https://doi.org/10.1901/jaba.1984.17-85.CrossRefPubMedPubMedCentralGoogle Scholar
  25. Epstein, L. H., Gordy, C. C., Raynor, H. A., Beddome, M., Kilanowski, C. K., & Paluch, R. (2001). Increasing fruit and vegetable intake and decreasing fat and sugar intake in families at risk for childhood obesity. Obesity Research, 9(3), 171–178.CrossRefPubMedGoogle Scholar
  26. Epstein, L. H., Leddy, J. J., Temple, J. L., & Faith, M. S. (2007). Food reinforcement and eating: A multilevel analysis. Psychological Bulletin, 133(5), 884–906.CrossRefPubMedPubMedCentralGoogle Scholar
  27. Epstein, L. H., Paluch, R. A., Beecher, M. D., & Roemmich, J. N. (2008). Increasing healthy eating vs. reducing high energy-dense foods to treat pediatric obesity. Obesity, 16(2), 318–326.  https://doi.org/10.1038/oby.2007.61.CrossRefPubMedGoogle Scholar
  28. Escaron, A. L., Meinen, A. M., Nitzke, S. A., & Martinez-Donate, A. P. (2013). Supermarket and grocery store-based interventions to promote healthful food choices and eating practices: A systematic review. Preventing Chronic Disease, 10, 120156.  https://doi.org/10.5888/pcd10.120156.CrossRefGoogle Scholar
  29. Fagerstrom, A. (2010). The motivating effect of antecedent stimuli on the web shop: A conjoint analysis of the impact of antecedent stimuli at the point of online purchase. Journal of Organizational Behavior Management, 30(2), 199–220.  https://doi.org/10.1080/01608061003756562.CrossRefGoogle Scholar
  30. Fagerstrom, A., Foxall, G. R., & Arntzen, E. (2010). Implications of motivating operations for the functional analysis of consumer choice. Journal of Organizational Behavior Management, 30(2), 110–126.  https://doi.org/10.1080/01608061003756331.CrossRefGoogle Scholar
  31. Fisher, W. W., & Mazur, J. E. (1997). Basic and applied research on choice responding. Journal of Applied Behavior Analysis, 30(3), 387–410.  https://doi.org/10.1901/jaba.1997.30-387.CrossRefPubMedPubMedCentralGoogle Scholar
  32. Foxall, G. R. (2010). Invitation to consumer behavior analysis. Journal of Organizational Behavior Management, 30(2), 92–109.  https://doi.org/10.1080/01608061003756307.CrossRefGoogle Scholar
  33. Hales, C. M., Carroll, M. D., Fryar, C. D., & Ogden, C. L. (2017). Prevalence of obesity among adults and youth: United States, 2015–2016. Washington, DC: Centers for Disease Control. Retrieved from https://www.cdc.gov/obesity/data/adult.html.Google Scholar
  34. Hamlin, R. P., McNeill, L. S., & Moore, V. (2014). The impact of front-of-pack nutrition labels on consumer product evaluation and choice: An experimental study. Public Health Nutrition, 18(12), 2126–2134.CrossRefPubMedGoogle Scholar
  35. Harnack, L. J., & French, S. A. (2008). Effect of point-of-purchase calorie labeling on restaurant and cafeteria food choices: A review of the literature. International Journal of Behavioral Nutrition and Physical Activity, 5(1), 51.  https://doi.org/10.1186/1479-5868-5-51.CrossRefPubMedGoogle Scholar
  36. Hausman, N. L., Borrero, J. C., Fisher, A., & Kahng, S. (2014). Improving accuracy of portion-size estimations through a stimulus equivalence paradigm. Journal of Applied Behavior Analysis, 47, 1–15.  https://doi.org/10.1002/jaba.139.CrossRefGoogle Scholar
  37. Hausner, J., Olsen, A., & Moller, P. (2012). Mere exposure and flavour–flavour learning increase 2–3 year-old children's acceptance of a novel vegetable. Appetite, 58, 1152–1159.  https://doi.org/10.1016/j.appet.2012.03.009.CrossRefPubMedGoogle Scholar
  38. Hendrickson, K. L., & Rasmussen, E. B. (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, 399–409.  https://doi.org/10.1016/j.brat.2013.04.002.CrossRefPubMedGoogle Scholar
  39. Hendrickson, K. L., & Rasmussen, E. B. (2016). Mindful eating reduces impulsive food choice in adolescents and adults. Health Psychology, 36(3), 226–235.  https://doi.org/10.1037/hea0000440.CrossRefPubMedGoogle Scholar
  40. Herman, D. R., Harrison, G. G., Abdelmonem, A. A., & Jenks, E. (2008). Effect of a targeted subsidy on intake of fruits and vegetables among low-income women in the special supplemental nutrition program for women, infants, and children. American Journal of Public Health, 98(1), 98–105.CrossRefPubMedPubMedCentralGoogle Scholar
  41. Herrnstein, R. J., Rachlin, H., & Laibson, D. I. (1997). The matching law: Papers in psychology and economics. Cambridge, MA: Harvard University Press.Google Scholar
  42. Hyland, R., Stacy, R., Adamson, A., & Moynihan, P. (2006). Nutrition-related health promotion through an after-school project: The responses of children and their families. Social Science & Medicine, 62(3), 758–768.CrossRefGoogle Scholar
  43. Johnson, B. F., & Cuvo, A. J. (1981). Teaching mentally retarded adults to cook. Behavior Modification, 5(2), 187–202.  https://doi.org/10.1177/014544558152003.CrossRefGoogle Scholar
  44. Johnson, B. M., Miltenberger, R. G., Egemo-Helm, K., Jostad, C. M., Flessner, C., & Gatheridge, B. (2005). Evaluation of behavioral skills training for teaching abduction-prevention skills to young children. Journal of Applied Behavior Analysis, 38(1), 67–78.  https://doi.org/10.1901/jaba.2005.26-04.CrossRefPubMedPubMedCentralGoogle Scholar
  45. Jones, B. A., Madden, G. J., & Wengreen, H. J. (2014a). The FIT Game: Preliminary evaluation of a gamification approach to increasing fruit and vegetable consumption in school. Preventative Medicine, 68, 76–79.  https://doi.org/10.1016/j.ypmed.2014.04.015.CrossRefGoogle Scholar
  46. Jones, B. A., Madden, G. J., Wengreen, H. J., Aguilar, S. S., & Desjardins, E. A. (2014b). Gamification of dietary decision-making in elementary school cafeteria. PLoS One, 9(4), e93872.  https://doi.org/10.1371/journal.pone.0093872.CrossRefPubMedPubMedCentralGoogle Scholar
  47. Kiszko, K. M., Martinez, O. D., Abrams, C., & Elbel, B. (2014). The influence of calorie labeling on food orders and consumption: A review of the literature. Journal of Community Health, 39(6), 1248–1269.  https://doi.org/10.1007/S10900-014-9876-0.CrossRefPubMedPubMedCentralGoogle Scholar
  48. Kneringer, M., & Page, T. J. (1999). Improving staff nutritional practices in community-based group homes: Evaluation, training, and management. Journal of Applied Behavior Analysis, 32, 221–224.CrossRefPubMedPubMedCentralGoogle Scholar
  49. Komaki, J., Barwick, D., & Scott, L. R. (1978). A behavioral approach to occupational safety: Pinpointing and reinforcing sale performance in a food manufacturing plant. Journal of Applied Psychology, 4(63), 434–445.CrossRefGoogle Scholar
  50. Kristal, A. R., Levy, L., Patterson, R. E., Li, S. S., & White, E. (1998). Trends in food label use associated with new nutrition labeling regulations. American Journal of Public Health, 88(8), 1212–1215.CrossRefPubMedPubMedCentralGoogle Scholar
  51. Lakkakula, A., Geaghan, J., Zanovec, M., Pierce, S., & Tuuri, G. (2010). Repeated taste exposure increases liking for vegetables by low-income elementary school children. Appetite, 55, 226–231.  https://doi.org/10.1016/j.appet.2010.06.003.CrossRefPubMedGoogle Scholar
  52. Lappalainen, R., & Epstein, L. H. (1990). A behavioral economics analysis of food choice in humans. Appetite, 14, 81–93.CrossRefPubMedGoogle Scholar
  53. Laraway, S., Snycerski, S., Michael, J., & Poling, A. (2003). Motivating operations and terms to describe them: Some further refinements. Journal of Applied Behavior Analysis, 36, 407–414.CrossRefPubMedPubMedCentralGoogle Scholar
  54. Larson, N., & Story, M. (2009). Menu labeling: Does providing nutrition information at the point of purchase affect consumer behavior? Minneapolis, MN: Healthy Eating Research Retrieved from http://healthyeatingresearch.org/wp-content/uploads/2013/12/HER-Menu-Labeling-Brief-06-29-09-FINAL.pdf.Google Scholar
  55. Levin, L., & Carr, E. G. (2001). Food selectivity and problem behavior in children with developmental disabilities: Analysis and intervention. Behavior Modification, 25, 443–470.CrossRefPubMedGoogle Scholar
  56. Liberato, S. C., Bailie, R., & Brimblecombe, J. (2014). Nutrition interventions at point-of-sale to encourage healthier food purchasing: a systematic review. BMC Public Health, 14, 919.  https://doi.org/10.1186/1471-2458-14-919.CrossRefPubMedPubMedCentralGoogle Scholar
  57. Loewenstein, G., Price, J., & Volpp, K. (2016). Habit formation in children: Evidence from incentives for healthy eating. Journal of Health Economics, 45, 47–54.CrossRefPubMedGoogle Scholar
  58. Loro, A. D., Fisher, E. B., & Levenkron, J. C. (1979). Comparison of established and innovative weight-reduction treatment procedures. Journal of Applied Behavior Analysis, 12(1), 141–155.  https://doi.org/10.1901/jaba.1979.12-141.CrossRefPubMedPubMedCentralGoogle Scholar
  59. Lowe, C. F., Horne, P. J., Tapper, K., Bowdery, M., & Egerton, C. (2004). Effects of a peer modelling and rewards-based intervention to increase fruit and vegetable consumption in children. European Journal of Clinical Nutrition, 58, 510–522.CrossRefPubMedGoogle Scholar
  60. Luiselli, J. K., Ricciardi, J. N., & Gilligan, K. (2005). Liquid fading to establish milk consumption by a child with autism. Behavioral Interventions, 20, 155–163.CrossRefGoogle Scholar
  61. Madsen, C. H., Madsen, C. K., & Thompson, F. (1974). Increasing rural head start children's consumption of middle-class meals. Journal of Applied Behavior Analysis, 7, 257–262.CrossRefPubMedPubMedCentralGoogle Scholar
  62. Mahon, L. M., Neufeld, N., Mani, M. M., & Christophersen, E. R. (1984). The effect of informational feedback on food intake of adult burn patients. Journal of Applied Behavior Analysis, 17(3), 391–396.  https://doi.org/10.1901/jaba.1984.17-391.CrossRefPubMedPubMedCentralGoogle Scholar
  63. Mann, R. A. (1972). The behavior-therapeutic use of contingency contracting to control an adult behavior problem: weight control. Journal of Applied Behavior Analysis, 5(2), 99–109.  https://doi.org/10.1901/jaba.1972.5-99.CrossRefPubMedPubMedCentralGoogle Scholar
  64. Mayer, J. A., Heins, J. M., Vogel, J. M., Morrison, D. C., Lankester, L. D., & Jacobs, A. L. (1986). Promoting low-fat entree choices in a public cafeteria. Journal of Applied Behavior Analysis, 19(4), 397–402.  https://doi.org/10.1901/jaba.1986.19-397.CrossRefPubMedPubMedCentralGoogle Scholar
  65. McCrory, M. A., Fuss, P. J., McCallum, J. E., Yao, M., Vinken, A. G., Hays, N. P., & Roberts, S. B. (1999). Dietary variety within food groups: Association with energy intake and body fatness in men and women. American Journal of Clinical Nutrition, 69, 440–447.CrossRefPubMedGoogle Scholar
  66. Michael, J. (1982). Distinguishing between discriminative and motivational functions of stimuli. Journal of the Experimental Analysis of Behavior, 37, 149–155.CrossRefPubMedPubMedCentralGoogle Scholar
  67. Michael, J. (1993). Establishing operations. The Behavior Analyst, 16, 191–206.CrossRefPubMedPubMedCentralGoogle Scholar
  68. Miltenberger, R. G. (2016). Behavior modification: Principles and procedures (6th ed.). Boston, MA: Cengage Learning.Google Scholar
  69. Morford, Z. H., Witts, B. N., Killingsworth, K. J., & Alavosius, M. P. (2014). Gamification: The intersection between behavior analysis and game design technologies. The Behavior Analyst, 37, 25–40.  https://doi.org/10.1007/s40614-014-0006-1.CrossRefPubMedPubMedCentralGoogle Scholar
  70. Morrill, B. A., Madden, G. J., Wengreen, H. J., Fargo, J. D., & Aguilar, S. S. (2016). A randomized controlled trial of the Food Dudes program: Tangible rewards are more effective than social rewards for increasing short- and long-term fruit and vegetable consumption. Journal of the Academy of Nutrition and Dietetics, 116(4), 618–629.  https://doi.org/10.1016/j.jand.2015.07.0013.CrossRefPubMedGoogle Scholar
  71. Murphy, E. S., McSweeney, F. K., Smith, R. G., & McComas, J. J. (2003). Dynamic changes in reinforcer effectiveness: Theoretical, methodological, and practical implications for applied research. Journal of Applied Behavior Analysis, 36, 421–438.CrossRefPubMedPubMedCentralGoogle Scholar
  72. Myers Ernst, M., & Epstein, L. H. (2002). Habituation of responding for food in humans. Appetite, 38(3), 224–234.CrossRefPubMedGoogle Scholar
  73. Nagler, R. H. (2014). Adverse outcomes associated with media exposure to contradictory nutrition messages. Journal of Health Communication, 19(1), 24–40.  https://doi.org/10.1080/10810730.2013.798384.CrossRefPubMedGoogle Scholar
  74. Nicholson, M., & Xiao, S. H. (2010). On the evolutionary bases of consumer reinforcement. Journal of Organizational Behavior Management, 30(2), 127–144.  https://doi.org/10.1080/01608061003756356.CrossRefGoogle Scholar
  75. Normand, M., & Kohn, C. (2013). Don't wag the dog: Extending the reach of applied behavior analysis. The Behavior Analyst, 36(1), 109–122.CrossRefPubMedPubMedCentralGoogle Scholar
  76. Normand, M. P., & Osborne, M. R. (2010). Promoting healthier food choices in college students using individualized dietary feedback. Behavioral Interventions, 25, 183–190.  https://doi.org/10.1002/bin.311.CrossRefGoogle Scholar
  77. Orrell-Valente, J. K., Hill, L. G., Brechwald, W. A., Dodge, K. A., Pettit, G. S., & Bates, J. E. (2007). “Just three more bites”: An observational analysis of parents’ socialization of children’s eating at mealtime. Appetite, 48(1), 37–45.  https://doi.org/10.1016/j.appet.2006.06.006.CrossRefPubMedGoogle Scholar
  78. Papies, E. K., & Veling, H. (2013). Healthy dining: Subtle diet reminders at the point of purchase increase low-calorie food choices among both chronic and current dieters. Appetite, 61, 1–7.CrossRefPubMedGoogle Scholar
  79. Rachlin, H. (1995). The value of temporal patterns in behavior. Current Directions in Psychological Science, 4, 188–192.CrossRefGoogle Scholar
  80. Rafacz, S. D., Scramstad, A., Nerestant, S., & Johnson, M. (2016). Effects of point-of-purchase prompts on dressing and vegetable choices at fast food restaurants. Unpublished manuscript, Department of Psychology, California State University, Fresno, Fresno, CA.Google Scholar
  81. Rasmussen, E. B., Lawyer, S. R., & Reilly, W. (2010a). Percent body fat is related to delay and probability discounting for food in humans. Behavioural Processes, 83, 23–30.  https://doi.org/10.1016/j.beproc.2009.09.001.CrossRefPubMedGoogle Scholar
  82. Rasmussen, E. B., Reilly, W., & Hillman, C. (2010b). Demand for sucrose in the genetically obese Zucker (fa/fa) rat. Behavioural Processes, 85, 191–197.CrossRefPubMedGoogle Scholar
  83. Rasmussen, E. G., Robertson, S. H., & Rodriguez, L. R. (2016). The utility of behavioral economics in expanding the free-feed model of obesity. Behavioural Processes, 127, 25–34.CrossRefPubMedPubMedCentralGoogle Scholar
  84. Riordan, M. M., Iwata, B. A., Finney, J. W., Wohl, M. K., & Stanley, A. E. (1984). Behavioral assessment and treatment of chronic food refusal in handicapped children. Journal of Applied Behavior Analysis, 17, 327–341.CrossRefPubMedPubMedCentralGoogle Scholar
  85. Robertson, S. H., & Rasmussen, E. B. (2018). Comparison of potentially real versus hypothetical food outcomes in delay and probability discounting tasks. Behavioural Processes, 149, 8–15.CrossRefPubMedGoogle Scholar
  86. Robinson, P. L., Dominguez, F., Teklehaimanot, S., Lee, M., Brown, A., Goodchild, M., & Hood, D. B. (2013). Does distance decay modeling of supermarket accessibility predict fruit and vegetable intake by individuals in a large metropolitan area? Journal of Health Care for the Poor and Underserved, 24(1), 172–185.  https://doi.org/10.1353/hpu.2013.0049.CrossRefPubMedPubMedCentralGoogle Scholar
  87. Rozin, P., Scott, S., Dingley, M., Urbanek, J. K., Jiang, H., & Kaltenbach, M. (2011). Nudge to nobesity I: Minor changes in accessibility decrease food intake. Judgement & Decision Making, 6(4), 323–332.Google Scholar
  88. Sigurdsson, V., Foxall, G., & Saevarsson, H. (2010). In-store experimental approach to pricing and consumer behavior. Journal of Organizational Behavior Management, 30(3), 234–246.  https://doi.org/10.1080/01608061.2010.499029.CrossRefGoogle Scholar
  89. Sigurdsson, V., Larsen, N. M., & Gunnarsson, D. (2014). Healthy food products at the point of purchase: An in-store experimental analysis. Journal of Applied Behavior Analysis, 47(1), 151–154.CrossRefGoogle Scholar
  90. Smeets, P. M., & Barnes-Holmes, D. (2003). Children's emergent preferences for soft drinks: Stimulus-equivalence and transfer. Journal of Economic Psychology, 24, 603–618.  https://doi.org/10.1016/S0167-4870(03)00004-7.CrossRefGoogle Scholar
  91. Solberg, K. M., Hanley, G. P., Layer, S. A., & Ingvarsson, E. T. (2007). The effects of reinforcer pairing and fading on preschoolers' snack selections. Journal of Applied Behavior Analysis, 40, 633–644.  https://doi.org/10.1901/jaba.2007.633-644.CrossRefPubMedPubMedCentralGoogle Scholar
  92. Sonnenberg, L., Gelsomin, E., Levy, D. E., Riis, J., Barraclough, S., & Thorndike, A. N. (2013). A traffic light labeling intervention increases consumer awareness of health and heathy choices at the point-of-purchase. Preventive Medicine, 57, 253–257.CrossRefPubMedPubMedCentralGoogle Scholar
  93. Sorensen, L. B., Moller, P., Flint, A., Martens, M., & Raben, A. (2003). Effect of sensory perception of foods on appetite and food intake: A review of studies on humans. International Journal of Obesity, 27, 1152–1166.CrossRefPubMedGoogle Scholar
  94. Stark, L. J., Collins, F. L., Osnes, P. G., & Stokes, T. F. (1986). Using reinforcement and cueing to increase healthy snack food choices in preschoolers. Journal of Applied Behavior Analysis, 19(4), 367–379.  https://doi.org/10.1901/jaba.1986.19-367.CrossRefPubMedPubMedCentralGoogle Scholar
  95. Steinberg, S. A., & Yalch, R. F. (1978). When eating begets buying: The effects of food samples on obese and nonobese shoppers. Journal of Consumer Research, 4(4), 243–246.CrossRefGoogle Scholar
  96. Stites, S. D., Singletary, S. B., Menasha, A., Cooblall, C., Hantula, D., Axelrod, S., . . . & Phipps, E. J. (2015). Pre-ordering lunch at work. Results of the what to eat for lunch study. Appetite, 84, 88–97.CrossRefPubMedGoogle Scholar
  97. Stock, L. Z., & Milan, M. A. (1993). Improving dietary practices of elderly individuals: the power of prompting, feedback, and social reinforcement. Journal of Applied Behavior Analysis, 26(3), 379–387.  https://doi.org/10.1901/jaba.1993.26-379.CrossRefPubMedPubMedCentralGoogle Scholar
  98. Sulzer-Azaroff, B., & Mayer, G. R. (1991). Behavior analysis for lasting change. Fort Worth, TX: Harcourt Brace College.Google Scholar
  99. Tapper, K. (2005). Motivating operations in appetite research. Appetite, 45, 95–107.CrossRefPubMedGoogle Scholar
  100. Temple, J. L., Giacomelli, A. M., Roemmich, J. N., & Epstein, L. H. (2008). Dietary variety impairs habituation in children. Health Psychology, 27(1-Suppl.), S10–S19.Google Scholar
  101. Temple, J. L., Kent, K. M., Giacomelli, A. M., Paluch, R. A., Roemmich, J. N., & Epstein, L. H. (2006). Habituation and recovery of salivation and motivated responding for food in children. Appetite, 46, 280–284.CrossRefPubMedPubMedCentralGoogle Scholar
  102. Thorndike, A. N., Sonnenberg, L., Riis, J., Barraclough, S., & Levy, D. E. (2012). A 2-phase labeling and choice architecture intervention to improve healthy food and beverage choices. American Journal of Public Health, 102(3), 527–533.CrossRefPubMedPubMedCentralGoogle Scholar
  103. Tiger, J. H., & Hanley, G. P. (2006). Using reinforcer pairing and fading to increase the milk consumption of a preschool child. Journal of Applied Behavior Analysis, 39, 399–403.CrossRefPubMedPubMedCentralGoogle Scholar
  104. Trucil, L. M., Vladescu, J. C., Reeve, K. F., DeBar, R. M., & Schnell, L. K. (2015). Improving portion-size estimation using equivalence-based instruction. Psychological Record, 65, 761–770.  https://doi.org/10.1007/s40732-015-0146-z.CrossRefGoogle Scholar
  105. U.S. Department of Health & Human Services & U.S. Department of Agriculture. (2015). 20152020 dietary guidelines for Americans. (8th ed.). Rockland, MD: U.S. Department of Health & Human Services. Retrieved from https://health.gov/dietaryguidelines/2015/
  106. Van't Riet, J. (2012). Sales effects of product health information at points of purchase: A systematic review. Public Health Nutrition, 16(3), 418–429.CrossRefGoogle Scholar
  107. Wagner, J. L., & Winett, R. A. (1988). Prompting one low-fat, high-fiber selection in a fast-food restaurant. Journal of Applied Behavior Analysis, 21(2), 179–185.  https://doi.org/10.1901/jaba.1988.21-179.CrossRefPubMedPubMedCentralGoogle Scholar
  108. Wansink, B., & Hanks, A. S. (2013). Slim by design: Serving healthy foods first in buffet lines improves overall meal selection. PLoS One, 8(10), e77055.  https://doi.org/10.1371/journal.pone.0077055.CrossRefPubMedPubMedCentralGoogle Scholar
  109. Winett, R. A., Kramer, K. D., Walker, W. B., Malone, S. W., & Lane, M. K. (1988). Modifying food purchases in supermarkets with modeling, feedback, and goal-setting procedures. Journal of Applied Behavior Analysis, 21(1), 73–80.CrossRefPubMedPubMedCentralGoogle Scholar
  110. Winett, R. A., Moore, J. F., Wagner, J. L., Hite, L. A., Leahy, M., Neubauer, T. E., . . . & Mundy, L. L. (1991). Altering shoppers’ supermarket purchases to fit nutritional guidelines: An interactive information system. Journal of Applied Behavior Analysis, 24(1), 95–105.  https://doi.org/10.1901/jaba.1991.24-95 CrossRefPubMedPubMedCentralGoogle Scholar
  111. Wooley, S. C., Wooley, O. W., & Dyrenforth, S. R. (1979). Theoretical, practical, and social issues in behavioral treatments of obesity. Journal of Applied Behavior Analysis, 12(1), 3–25.  https://doi.org/10.1901/jaba.1979.12-3.CrossRefPubMedPubMedCentralGoogle Scholar
  112. Yeomans, M. R. (1996). Palatability and the micro-structure of feeding in humans: The appetizer effect. Appetite, 27, 119–133.CrossRefPubMedGoogle Scholar
  113. Young, L. R., & Nestle, M. (2003). Expanding portion sizes in the U.S. marketplace: Implications for nutrition counseling. Journal of the American Dietetic Association, 103, 231–234.  https://doi.org/10.1053/jada.2003.50027.CrossRefPubMedGoogle Scholar

Copyright information

© Association for Behavior Analysis International 2019

Authors and Affiliations

  1. 1.Department of PsychologyCalifornia State UniversityFresnoUSA

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