Volume 4, Issue 2 (May 2019)                   JNFS 2019, 4(2): 76-82 | Back to browse issues page

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Mazloomy Mahmoodabad S S, Mohammad Yousefivardanjani Z, Fallahzadeh H, Farrokhian A. Predictors of Fast Food Consumption Based on Prototype/Willingness Model among Students of Yazd University of Medical Sciences. JNFS. 2019; 4 (2) :76-82
URL: http://jnfs.ssu.ac.ir/article-1-253-en.html
Professor of Biostatistics, Department of Biostatistics and Epidemiology, Research Center of Prevention and Epidemiology of Non-Communicable Disease, Faculty of Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
Abstract:   (70 Views)
Background: Consumption of fast food, as a consequence of the modern industrial society, has increased in recent years among teenagers and young people. The purpose of this study was to investigate the effect of fast food consumption on female students in Yazd University of Medical Sciences based on the Prototype/Willingness Model. Methods: In this descriptive-analytic study, 245 female dormitory students were selected from Yazd University of Medical Sciences by stratified sampling from six dorms. Data were collected using a valid, reliable, and self-reporting questionnaire including demographic information and constructs of Prototype/Willingness Model. To analyze the data, correlation, regression, and ANOVA were applied using SPSS18. Results: Participants' maximum scores of intention with regard to non-consumption of fast foods, subjective norms, attitude, willingness, and prototype were 57, 53, 51, 67.5, and 66.2 percent, respectively. Intention to non-consumption of fast foods had a positive significant correlation with subjective norms, attitude, willingness, and prototype of fast food consumption. The combination of attitude and subjective norms accounted for 0.17 percent of the variance in intention. Moreover, attitude was the most significant predictor of intention (β = 0.38). Conclusion: According to the predictability of attitudes towards behavioral intention about fast food consumption, the individuals' negative attitudes should be enhanced towards fast food consumption in designing education programs for youth.
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Type of article: orginal article | Subject: public specific
Received: 2018/01/21 | Accepted: 2018/05/14 | Published: 2019/05/1

1. Abedini S, MorowatiSharifabad M, Kordasiabi MC & Ghanbarnejad A 2014. Predictors of non-hookah smoking among high-school students based on prototype/willingness model. Health promotion perspectives. 4 (1): 46.
2. Barati M, Allahverdipour H, Hidarnia A, Niknami S & Bashirian S 2015. Belief-based tobacco smoking scale: evaluating the psychometric properties of the Theory of Planned Behavior’s Constructs. Health promotion perspectives. 5 (1): 59.
3. Bowman SA, Gortmaker SL, Ebbeling CB, Pereira MA & Ludwig DS 2004. Effects of fast-food consumption on energy intake and diet quality among children in a national household survey. Pediatrics. 113 (1): 112-118.
4. Brownell KD 2005. Does a" toxic" environment make obesity inevitable? Obssity management. 1 (2): 52-55.
5. Chaleshgar M, Morowaty MA & Abedini S 2013. Predictors of speeding among drivers based on Prototype Willingness Model. Journal of research and health. 3 (3): 436-444.
6. Dadipoor S, et al. 2014. Effective Factors related to Fast-foods Consumption in Bandar Abbas: A Community-Based Study. Iranian journal of health Eeucation and health promotion. 2 (2): 77-86.
7. Driskell JA, Kim Y-N & Goebel KJ 2005. Few differences found in the typical eating and physical activity habits of lower-level and upper-level university students. Journal of the American dietetic association. 105 (5): 798-801.
8. Driskell JA, Meckna BR & Scales NE 2006. Differences exist in the eating habits of university men and women at fast-food restaurants. Nutrition research. 26 (10): 524-530.
9. Dunn KI, Mohr P, Wilson CJ & Wittert GA 2011. Determinants of fast-food consumption. An application of the Theory of Planned Behaviour. Appetite. 57 (2): 349-357.
10. Fats F 2010. fatty acids in human nutrition. Report of an expert consultation. Food and nutrition paper. 91.
11. Fazelpour S, et al. 2011. Assessment of fast food concumption among people of Yazd city. Toloo-e-behdasht. 10 (2): 25-34.
12. French SA, Harnack L & Jeffery RW 2000. Fast food restaurant use among women in the Pound of Prevention study: dietary, behavioral and demographic correlates. International journal of obesity. 24 (10): 1353.
13. Gerrard M GF, Reis-Bergan M, Trudeau L, Vande Lune LS, Buunk B. 2002. Inhibitory effects of drinker and nondrinker prototypes on adolescent alcohol consumption. Health Psychology. Health psychology. 21 (6): 601.
14. Gerrard M, et al. 2002. Inhibitory effects of drinker and nondrinker prototypes on adolescent alcohol consumption. Health psychology. 21 (6): 601.
15. Glanz KE, Lewis FME & Rimer BK 1990. Health behavior and health education: Theory, research, and practice. Jossey-Bass.
16. Hooper L, et al. 2012. Effect of reducing total fat intake on body weight: systematic review and meta-analysis of randomised controlled trials and cohort studies. British medical journal. 345: e7666.
17. Key TJ, et al. 2004. Diet, nutrition and the prevention of cancer. Public health nutrition. 7 (1a): 187-200.
18. Mainbolagh BL, et al. 2012. The effect of peer education based on health belief model on nutrition behaviors in primary school boys. Journal of research & health social development & health promotion research center. 2 (2): 214-225.
19. Mirzaei Alavijeh M, et al. 2013. Predictors of drug abuse among students with application of Prototype/Willingness Model. Journal of police medicine. 2 (2): 111-118.
20. Morowatisharifabad M, Fadaeevash N, Allahverdipour H & Fallahzadeh H 2012. Study Of Smoking Predictors Based On Prototype/Willingness Model Omong High School Students In Maragheh. Toloo-e-behdash. 11 (3): 25-35.
21. Nicklas TA, Baranowski T, Cullen KW & Berenson G 2001. Eating patterns, dietary quality and obesity. Journal of the American college of nutrition. 20 (6): 599-608.
22. Paeratakul S, Ferdinand DP, Champagne CM, Ryan DH & Bray GA 2003. Fast-food consumption among US adults and children: dietary and nutrient intake profile. Journal of the American dietetic association. 103 (10): 1332-1338.
23. World Health Organization 2003. Diet, nutrition and the prevention of chronic diseases: report of a joint WHO.
24. Yarmohammadi P, Sharifirad Gr, Azadbakht L, Morovati SMA & Hassanzadeh A 2011. Predictors of fast food consumption among high school students based on the theory of planned behavior. Health system research. 7 (4): 449-458(persian).

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