Back
 Health  Vol.9 No.7 , July 2017
Judgment Formation towards Health Risk Behaviors Concerning Obesity: An Integration Information Theory Approach
Abstract:
A sample of 80 secondary students was required to take an information integration theory study to explore judgment formation toward health risk behavior regarding obesity. Here, twelve social scenarios containing a simulated actor were implemented (vignettes) having in mind a three factor experimental factor design (diet, weight and physical activity). Subjects had to read each vignette and provide an answer by marking ten points anchored scale to provide judgment on actors’ possible health risk outcome. Results showed that study participants valuated diet as the most relevant factor, followed by the description of weight and finally followed by the factor of physical activity. They impose systematic thinking to integrate different sources of information provided by factor manipulation in the vignettes by using a cognitive summative rule. Implications of this study result to clinical intervention in obesity as well as for theoretical considerations of cognitive models of health risk behavior are discussed in the present article.
Cite this paper: Jimenez-Martinez, A. , Hernandez-Cortes, P. , Morales-Martinez, G. and Lopez-Ramirez, E. (2017) Judgment Formation towards Health Risk Behaviors Concerning Obesity: An Integration Information Theory Approach. Health, 9, 1047-1053. doi: 10.4236/health.2017.97076.
References

[1]   Lawton, R., Conner, M. and Parker, D. (2007) Beyond Cognition: Predicting Health Risk Behaviors from Instrumental and Affective Beliefs. Health Psychology, 26, 259-267.
https://doi.org/10.1037/0278-6133.26.3.259

[2]   Hernández, C.P.L., Morales, M.G.E., Lopez, R.E.O. and Salazar, G.B.C. (2014) Systematic Thinking Underlying People with Diabetes’ Beliefs on Health Outcomes: An Information Integration Theory Approach. Advances in Aging Research, 3, 310-317.
https://doi.org/10.4236/aar.2014.34040

[3]   Cameron, D.S., Bertenshaw, E.J. and Sheeran, P. (2014) The Impact of Positive Affect on Health Cognitions and Behaviours: A Meta-Analysis of the Experimental Evidence. Health Psychology Review, 9, 345-365.
https://doi.org/10.1080/17437199.2014.923164

[4]   Fishbein, M. (2008) A Reasoned Action Approach to Health Promotion. Medical Decision Making, 28, 834-844.
https://doi.org/10.1177/0272989X08326092

[5]   Abraham, C. and Sheeran, P. (2005) The Health Belief Model. In: Conner, M. and Norman, P., Eds. Predicting Health Behaviour: Research and Practice with Social Cognition Models, 2nd Edition, Open University Press, Maidenhead, 28-80.

[6]   Rogers, R.W. (1983) Cognitive and Physiological Processes in Fear Appeals and Attitude Change: A Revised Theory of Protection Motivation. In: Cacioppo, J. and Petty, R., Eds., Social Psychophysiology, Guilford Press, New York, 153-175.

[7]   Gibbons, F.X., Gerrard, M., Ouellette, J.A. and Burzette, R. (1998) Cognitive Antecedents to Adolescent Health Risk: Discriminating between Behavioral Intention and Behavioral Willingness. Psychology and Health, 13, 319-339.
https://doi.org/10.1080/08870449808406754

[8]   Gerrard, M., Gibbons, F.X., Reis-Bergan, M. and Russell, D.W. (2000) Self-Esteem, Self-Serving Cognitions, and Health Risk Behavior. Journal of Personality, 68, 1177-11201.
https://doi.org/10.1111/1467-6494.00131

[9]   Conner, M. (2010) Cognitive Determinants of Health Behavior. In: Steptoe, A., Ed., Handbook of Behavioral Medicine: Methods and Applications, Springer Verlag, New York, 19-30.
https://doi.org/10.1007/978-0-387-09488-5_2

[10]   Anderson, N.H. (2009) Unified Social Cognition. Psychology Press, New York.

[11]   Jansen, A., Houben, K. and Roefs, A. (2015) A Cognitive Profile of Obesity and Its Translation into New Interventions. Frontiers in Psychology, 6, 1807.
https://doi.org/10.3389/fpsyg.2015.01807

[12]   World Health Organization (1998) Obesity—Preventing and Managing the Global Epidemic. WHO/NUT/NCD/98 1, WHO, Geneva.

[13]   Braet, C. and Crombez, G. (2003) Cognitive Interference Due to Food Cues in Childhood Obesity. Journal of Clinical Child and Adolescent Psychology, 32, 32-39.
https://doi.org/10.1207/S15374424JCCP3201_04

[14]   Nilsson, L.-G. and Nilsson, E. (2009) Overweight and Cognition. Scandinavian Journal of Psychology, 50, 660-667.
https://doi.org/10.1111/j.1467-9450.2009.00777.x

[15]   Ziauddeen, H., Alonso, A.M., Hill, O.J., Kelley, M. and Khan, N.A. (2015) Obesity and the Neurocognitive Basis of Food Reward and the Control of Intake1, 2. American Society for Nutrition, 6, 474-486.

[16]   Wing, R.R. and Hill, J.O. (2001) Successful Weight Loss Maintenance. Annual Review of Nutrition, 21, 323-341.
https://doi.org/10.1146/annurev.nutr.21.1.323

[17]   Anderson, N.H. (1971) Integration Theory and Attitude Change. Psychological Review, 78, 171-206.
https://doi.org/10.1037/h0030834

[18]   Chan, J.S., Yan, J.H. and Payne, V.G. (2013) The Impact of Obesity and Exercise on Cognitive Aging. Frontiers in Aging Neuroscience, 5, 97.
https://doi.org/10.3389/fnagi.2013.00097

[19]   Gollwitzer, P. and Sheeran, P. (2006) Implementation Intentions and Goal Achievement: A Meta-Analysis of Effects and Processes. Advances in Experimental Social Psychology Journal, 38, 69-119.

[20]   Oettingen, G. (2014) Rethinking Positive Thinking. Penguin Group, USA.

[21]   Pawlowska, M. and Kalka, D. (2015) Cognitive-Motivational Model of Obesity: Motivational Mechanisms and Cognitive Biases Underlying the Processing of Food-Related Images by People with Excess Body Weight. Psychiatria Polska, 49, 983-991.
https://doi.org/10.12740/pp/30860

 
 
Top