Healthy Eating: Approaching the Selection, Preparation, and Consumption of Healthy Food as Choice Behavior
- 69 Downloads
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.
KeywordsHealthy eating Food Choice behavior Consumer behavior Consumption
Compliance with Ethical Standards
Conflict of Interest
The author states that there is no conflict of interest.
- American Nutrition Association. (2011). USDA defines food deserts. Nutrition Digest, 38(2) Retrieved from http://americannutritionassociation.org/newsletter/usda-defines-food-deserts.
- 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
- Centers for Disease Control. (2017). National diabetes statistics report. Retrieved from http://www.cdc.gov/diabetes/data/statistics-report/index.html
- 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
- 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
- Cooper, J. O., Heron, T. E., & Heward, W. L. (2007). Applied behavior analysis (2nd ed.). Upper Saddle River, NJ: Pearson Education.Google Scholar
- 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.
- Daniels, A. C. (1994). Bringing out the best in people. New York, NY: McGraw-Hill.Google Scholar
- 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
- 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
- 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
- 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
- Herrnstein, R. J., Rachlin, H., & Laibson, D. I. (1997). The matching law: Papers in psychology and economics. Cambridge, MA: Harvard University Press.Google Scholar
- 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
- 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
- Miltenberger, R. G. (2016). Behavior modification: Principles and procedures (6th ed.). Boston, MA: Cengage Learning.Google Scholar
- 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
- 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
- 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
- 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
- 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
- Sulzer-Azaroff, B., & Mayer, G. R. (1991). Behavior analysis for lasting change. Fort Worth, TX: Harcourt Brace College.Google Scholar
- 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
- U.S. Department of Health & Human Services & U.S. Department of Agriculture. (2015). 2015–2020 dietary guidelines for Americans. (8th ed.). Rockland, MD: U.S. Department of Health & Human Services. Retrieved from https://health.gov/dietaryguidelines/2015/
- 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