RESEARCH OF RELATIONSHIPS BETWEEN IMPLICIT AND EXPLICIT HEALTHY OR UNHEALTHY FOOD RELATED COGNITIONS
DOI:
https://doi.org/10.17770/sie2019vol7.3888Keywords:
attitudes towards healthy/unhealthy food, implicit association test (IAT), implicit associations with healthy (or unhealthy) food, self-assessment procedures, food related cognitionsAbstract
The research aim is to study the relationships between implicit and explicit healthy or unhealthy food related cognitions. Research questions: (1) Is there a relationship between the results of measurements of healthy or unhealthy food related cognitions by implicit and self-assessment procedures? (2) How are healthy or unhealthy food related implicit and explicit cognitions and somatic properties (weight, height, body mass index (BMI), age, sex) related? (3) What common factors underlie the relationship between implicit and explicit healthy or unhealthy food related cognitions and somatic properties? (4) What contribution to food related implicit cognitions is made by explicit attitudes (preference of healthy or unhealthy food, the recentness of consumption, awareness of healthy or unhealthy food, sensations of taste) and somatic properties? (5) What contribution to each food related explicit cognition is made by food related implicit cognitions, the other food related explicit cognitions and somatic properties? Method. Participants – 83 students, aged 19-35, M = 25.75, SD = 4.63 years. Measurements: the specially designed IAT and corresponding self-assessment procedures. Results. There is a relationship between the results of implicit and explicit measurements. The main contribution to implicit preference for food is made by the weight, sex and explicit preference, based on recentness of its consumption.
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Brazil, J. M., Milagres, M. P., Lima, E. R., Brazil Pinto, C. F., Santos, G., Brandao, W. B., Santos, R. A., Pereira, R., & Gouveia, V.V. (2016). Healthy food and its influence on consumption: Explicit and implicit attitudes. International Archives of Medicine, 9(237) doi: http://dx.doi.org/10.3823/2108 .
Capaldi, E.D. (1996). Conditioned food preferences. In E.D. Capaldi (ed.), Why We Eat what We Eat: The Psychology of Eating (pp. 53-80). Washington: American Psychological Association.
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Earlbaum Associates.
Crites, S. L., & Aikman, S. N. (2005). Impact of nutrition knowledge on food evaluations. European Journal of Clinical Nutrition, 59, 1191–200.
De Bourdeaudhuij, I., Lefevere, J., Deforche, B., Wijndaele, K., Matton, L., & Philippaerts, R. (2005). Physical activity and psychosocial correlates in normal weight and over-weight 11 to 19 year olds. Obesity Research, 13(6), 1097-1105.
Drewnowski, A. (1997). Taste preferences and food intake. Annual Review of Nutrition, 17, 237-253.
Ellis, P.D. (2010). The essential guide to effect sizes. Statistical power, meta-analysis, and the interpretation of research results. Cambridge: University Press.
Fazio, R. H., Jackson, J. R., Dunton, B. C., & Williams, C. J. (1995). Variability in Automatic Activation as an Unobtrusive Measure of Racial Attitudes: A Bona Fide Pipeline? Journal of Personality and Social Psychology, 69, 1013-1027.
Fazio R.H., & Olson M.A. (2003). Implicit measures in social cognition research: Their meaning and use. Annual Review of Psychology, 54, 297-327.
Fazio, R.H. (2007). Attitudes as object–evaluation associations of varying strength. Social Cognition, 25, 664-703.
Free Statistics Calculators. Version 4.0. On-line calculators, retrieved from https://www.danielsoper.com/statcalc/default.aspx.
Gawronski, B., & Bodenhausen, G.V. (2006). Associative and prepositional processes in evaluation: An integrative review of implicit and explicit attitude change. Psychological Bulletin, 132, 692-731.
Greenwald, A.G., McGhee, D.E., & Schwartz, J.L.K. (1998). Measuring individual differences in implicit cognition: The Implicit Association Test. Journal of Personality and Social Psychology, 74, 1464 –1480.
Grunert, K.G., Brunsø, K., & Bisp, S. (1993). Food-related life style: Development of a cross-culturally valid instrument for market surveillance. MAPP working paper, 12. The Aarhus School of Business.
Hoefling, A. & Strack, F. (2008). The tempting effect of forbidden foods. High calorie content evokes conflicting implicit and explicit evaluations in restrained eaters. Appetite, 51(3), 681-689.
Lechner, L., & de Vries, H. (1995). Starting participation in an employee fitness program: Attitudes, social influence and self-efficacy. Preventive Medicine, 24, 627-633.
Lissner, L., & Heitmann, B.L. (1995). Dietary fat and obesity: evidence from epidemiology. European Journal of Clinical Nutrion, 49, 79-90.
Mai, R., Hoffman, S., Hoppert, K., Schwarz, P., & Rohm, H. (2015). The spirit is willing, but the flesh is weak: The moderating effect of implicit associations on healthy eating behaviors. Food Quality and Preference, 39, 62–72.
Mitic, S. & Gligorijevic, M. (2015). Consumers' attitudes, knowledge and consumption of products with nutrition and health claims. Ekonomika poljoprivrede, 62, 335-352.
Moors A., Spruyt A., & De Houwer J. (2010). In search of a measure that qualifies as implicit: Recommendations based on a decompositional view of automaticity. In B. Gawronski & B.K. Payne (Eds.), Handbook of implicit social cognitions (pp. 19-37). London: The Guildford Press.
Nederkoorn, C., Smulders, E.T., Havermans, R.C., Roefs, A., & Jansen, A. (2006). Impulsivity in obese women. Appetite, 47, 253-256.
Olson, M.A., & Fazio, R.H. (2009). Implicit and explicit measures of attitudes: The perspective of the MODE model. In R.E. Petty, R.H. Fazio, & P. Brinol (Eds.), Attitudes: Insights from the new implicit measures (pp. 19-64). Mahwah, NJ: Erlbaum.
Perl, M.A., Mandic, M.L., Primorac, L., Klapec, T., & Perl, A. (1998). Adolescent acceptance of different foods by obesity status and by sex. Physiology and Behavior, 65, 241–245.
Petty, R. E., & Brinol, P. (2006b). A meta-cognitive approach to “implicit” and “explicit” evaluations: Comment on Gawronski and Bodenhausen. Psychological Bulletin, 132, 740-744.
Petty, R. E., Brinol, P., & DeMarree, K.G. (2007). The meta-cognitive model (MCM) of attitudes: Implications for attitude measurement, change, and strength. Social Cognition, 25, 609-642.
Plotka, I., Simane-Vigante, L., & Blumenau, N. (2018). Research of violence-related cognitions using Self-Concept implicit association test and self-report procedures of sentenced and not sentenced males. Social Psychology and Society, 9(3), 176-186.
Puhl, R., & Brownell, K. D. (2003). Psychosocial origins of obesity stigma: Toward changing a powerful and pervasive bias. Obesity Reviews, 4, 213–227
Ravussin, E., & Bogardus, C. (2000). Energy balance and weight regulation: Genetics versus environment. British Journal of Nutrition, 83, 17-20.
Reed, D.R., Bachmanov, A.A., Beauchamp, G.K., Tordoff, M.G., & Price, A.R. (1997). Heritable variation in food preferences and their contribution to obesity. Behavior Genetics, 27, 373–387.
Roefs, A., & Jansen, A. (2002). Implicit and explicit attitudes toward high-fat foods in obesity. Journal of Abnormal Psychology, 111(3), 517–521.
Roefs, A., Stapert, D., Isabella, L. A., Wolters, G., Wojciechowski, F., & Jansen, A. (2005). Early associations with food in anorexia nervosa patients and obese people assessed in the affective priming paradigm. Eating Behaviors, 6, 151-163.
Roefs, A., Quaedackers, L., Werrij, M. Q., Wolters, G., Havermans, R., Nederkoorn, C., … Jansen, A. (2006). The environment influences whether highfat foods are associated with palatable or with unhealthy. Behaviour Research and Therapy, 44, 715-736.
Rudman, L. A. (2011). Implicit measures for social and personality psychology. London: Sage.
Schrauwen, P., & Westerterp, K. R. (2000). The role of high-fat diets and physical activity in the regulation of body weight. British Journal of Nutrition, 84, 417-427.
Snowden R.J., & Gray N.S. (2010). Implicit social cognition in forensic settings. In B. Gawronski & B.K. Payne (Eds.), Handbook of implicit social cognitions (pp. 522-534). London: The Guildford Press.
Teachman, B.A., & Brownell, K.D. (2001). Implicit anti-fat bias among health professionals: is anyone immune? Int. J. Obes. Relat. Metab.Disord., 25, 1525–1531.
Thompson, J.K., Heinberg, L.J., Altabe, M.N., & Tantleff-Dunn, S. (1999). Exacting beauty: Theory, assessment and treatment of body image disturbance. Washington, DC: American Psychological Association.
Uimonen, S. (2011). The effect of food-related lifestyle on the choices of consumers of five food products. Helsinki: University of Helsinki.
Vinogradova, Z., Plotka, I., Smirnova, I., Blumenau, N., & Igonin, D. (2018). Study of attitudes towards the use of mobile phones while driving with implicit association tests and self-assessment procedures. In V. Lubkina, S. Usca, & A. Zvaigzne (Eds.), Society. Integration. Education. Proceedings of the International Scientific Conference May 26th-27th, 2018 (pp. 291-307). Rezekne: Rezeknes Academy of Technologies.
Werrij, M. Q., Roefs, A., Janssen, I., Stapert, D., Wolters, G., Mulkens, S., et al. (2008). Early associations with palatable foods in overweight and obesity are not disinhibition related but restraint related. Journal of Behavior Therapy and Experimental Psychiatry, 40, 136–146.).
Wiers, R. W., Houben, K., Roefs, A., de Jong, P., Hofmann, W., & Stacy, A. W. (2010). Implicit cognition in health psychology: Why common sense goes out the window. In B. Gawronski & B. K. Payne (Eds.), Handbook of implicit social cognition: Measurement, theory, and applications (pp. 463-488). New York, NY, US: Guilford Press.
Wilson, T.D., Lindsey, S., & Schooler, T.Y. (2000). A model of dual attitudes. Psychological Review, 107, 101-126.
Worsley, A. (2002). Nutrition knowledge and food consumption: Can nutrition knowledge change food behaviour? Asia Pacific Journal of Clinical Nutrition, 11, S579-S585. https://doi.org/10.1046/j.1440-6047.11.supp3.7.x
