Swipe om te navigeren naar een ander artikel
Fewer than half of Americans meet current recommendations for fruit and vegetable intake. The behavioral affective associations model posits that feelings and emotions associated with a behavior are a proximal influence on decision making. Cross-sectional evidence supports the model and suggests that affective associations predict fruit and vegetable consumption. The purpose of this study was to test whether a causal relation exists between affective associations about fruits and future fruit consumption behavior, as measured by a snack selection task. Following a baseline assessment of cognitive and affective variables, participants’ (N = 161) affective associations about fruits were experimentally manipulated with an implicit priming paradigm. Images of fruits were repeatedly paired with positive, negative, or neutral affective stimuli. The key outcome measure was a behavioral choice task in which participants chose between fruit and a granola bar. Participants in the positive prime condition were three times more likely than those in the negative condition to select a piece of fruit over the granola bar alternative in the snack selection task. They were also twice as likely as those in the neutral condition to select fruit. There were no changes in self-reported affective associations or cognitive beliefs. These findings provide further evidence of the implicit and direct influence of affective associations on behavior, suggesting the need to both incorporate the role of affect in health decision making models, as well as the potential utility of intervention strategies targeting affective associations with health-related behaviors.
Log in om toegang te krijgen
Met onderstaand(e) abonnement(en) heeft u direct toegang:
Ajzen, I., & Driver, B. L. (1991). Prediction of leisure participation from behavioral, normative, and control beliefs: An application of the theory of planned behavior. Leisure Sciences, 13, 185–204. CrossRef
Ajzen, I., & Driver, B. L. (1992). Application of the theory of planned behavior to leisure choice. Journal of Leisure Research, 24, 207–224.
Crites, S. L., Fabrigar, L. R., & Petty, R. E. (1994). Measuring the affective and cognitive properties of attitudes: Conceptual and methodological issues. Personality and Social Psychology Bulletin, 20, 619–634. CrossRef
Damasio, A. R. (1994). Descartes’ error: Emotion, reason and the human brain. New York: Putnam.
Dean, M., Raats, M. M., & Shepherd, R. (2008). Moral concerns and consumer choice of fresh and processed organic foods. Journal of Applied Social Psychology, 38, 2088–2107. CrossRef
Gibson, B. (2008). Can evaluative conditioning change attitudes toward mature brands? New evidence from the Implicit Association Test. Journal of Consumer Research, 35, 178–188. CrossRef
Glanz, K., Rimer, B. K., & Lewis, F. M. (2008). Health behavior and health education: Theory, research and practice (4th ed.). San Francisco, CA: Jossey-Bass.
Greenwald, P., & Cullen, J. W. (1985). The new emphasis in cancer control. Journal of the National Cancer Institute, 74, 543–551. PubMed
Hofmann, W., Gschwendner, T., Friese, M., Wiers, R. W., & Schmitt, M. (2008). Working memory capacity and self-regulatory behavior: Toward an individual differences perspective on behavior determination by automatic versus controlled processes. Journal of Personality and Social Psychology, 95, 962. PubMedCrossRef
Ito, T. A., Cacioppo, J. T., & Lang, P. J. (1998). Eliciting affect using the international affective picture system: Trajectories through evaluative space. Personality and Social Psychology Bulletin, 24, 855. CrossRef
Jarvis, W. (2006). DirectRT (Version 2002). [Computer software]. New York, NY: Empirisoft.
Johnson-Askew, W. L., Gillespie, A. H., & Rothman, A. J. (2009). Special issue—Decision making in eating behavior: Interacting perspectives from the individual, family, and environment. Annals of Behavioral Medicine, 38, 1–92. CrossRef
Kiviniemi, M. T., & Bevins, R. (2007). Affect-behavior associations in motivated behavioral choice: Potential transdisciplinary links. In P. R. Zelick (Ed.), Issues in the psychology of motivation (pp. 65–80). Hauppage, NY: Nova.
Kiviniemi, M. T., & Bevins, R. (2008). Role of affective associations in the planning and habit systems of decision making related to addiction. Behavioral and Brain Sciences, 31, 450–451. CrossRef
Knutson, B., Adams, C. M., Fong, G. W., & Hommer, D. (2001). Anticipation of increasing monetary reward selectively recruits nucleus accumbens. The Journal of Neuroscience, 21, 1–5.
Lang, P. J., Bradley, M. M., & Cuthbert, B. N. (2005). International affective picture system (IAPS): Digitized photographs, instruction manual, and affective ratings (Technical Report A-6). Gainesville, FL: University of Florida.
Ling, A. M., & Horwath, C. (2001). Perceived benefits and barriers of increased fruit and vegetable consumption: Validation of a decisional balance scale. Journal of Nutrition Education, 33, 257–265. CrossRef
Manstead, A. S. R., & Parker, D. (1995). Evaluating and extending the theory of planned behaviour. European Review of Social Psychology, 6, 69–95. CrossRef
National Cancer Institute. (2001). Making health communication programs work. Washington, DC: US Department of Health and Human Service.
National Cancer Institute. (2007). Fruit and vegetable screeners: Scoring the all-day screener. Retrieved Aug 3, 2007, from http://riskfactor.cancer.gov/diet/screeners/fruitveg/scoring/allday.html.
Olson, M. A., & Fazio, R. H. (2002). Implicit acquisition and manifestation of classically conditioned attitudes. Social Cognition, 20, 89–104. CrossRef
Peters, E., Lipkus, I., & Diefenbach, M. A. (2006). The functions of affect in health communications and in the construction of health preferences. Journal of Communication, 56, S140–S162. CrossRef
Pleyers, G., Corneille, O., Luminet, O., & Yzerbyt, V. (2007). Aware and (dis)liking: Item-based analyses reveal that valence acquisition via evaluative conditioning emerges only when there is contingency awareness. Journal of Experimental Psychology-Learning Memory and Cognition, 33, 130–144. CrossRef
Rhodes, R. E., & Conner, M. (2010). Comparison of behavioral belief structures in the physical activity domain. Journal of Applied Social Psychology, 40, 2105–2120. CrossRef
Richetin, J., Perugini, M., Prestwich, A., & O’Gorman, R. (2007). The IAT as a predictor of food choice: The case of fruits versus snacks. International Journal of Psychology, 42, 166–173. CrossRef
Rozin, P. (2006). The integration of biological, social, cultural, and psychological influences on food choice. In R. Shepherd & M. Raats (Eds.), The psychology of food choice (pp. 19–39). Oxfordshire: CABI. CrossRef
Schulz, K. F., Chalmers, I., Hayes, R. J., & Altman, D. G. (1995). Empirical evidence of bias: Dimensions of methodological quality associated with estimates of treatment effects in controlled trials. JAMA: The Journal of the American Medical Association, 273, 408–412. CrossRef
Shadish, W. R., Cook, T. D., & Campbell, D. T. (2002). Experimental and quasi-experimental designs for generalized causal inference. Boston, MA: Houghton Mifflin.
Slovic, P., Finucane, M. L., Peters, E., & MacGregor, D. G. (2007). The affect heuristic. European Journal of Operational Research, 177, 1333–1352. CrossRef
Stone, J., Aronson, E., Crain, A. L., Winslow, M. P., & Fried, C. B. (1994). Inducing hypocrisy as a means of encouraging young adults to use condoms. Personality and Social Psychology Bulletin, 20, 116–128. CrossRef
van der Pligt, J., Zeelenberg, M., van Dijk, W. W., de Vries, N. K., & Richard, R. (1997). Affect, attitudes and decisions: Let’s be more specific. In W. Stroebe & M. Hewstone (Eds.), European review of social psychology (Vol. 8, pp. 33–66). New York: Psychology Press.
- Changing how I feel about the food: experimentally manipulated affective associations with fruits change fruit choice behaviors
Erin M. Walsh
Marc T. Kiviniemi
- Springer US