• Title of article

    Application of the Theory of Planned Behavior to predict low-nutrient junk food consumption among male students

  • Author/Authors

    Charoghchian Khorasani ، Elham Department of Health Education Health Promotion - Student Research Committee, Social Determinants of Health Research Center, Faculty of Health - Mashhad University of Medical Sciences , Peyman ، Nooshin Social Determinants of Health Research Center - Mashhad University of Medical Sciences , Moghzi ، Mohammad Health Education and Health Promotion health center of Chenaran - Mashhad University of Medical Sciences

  • From page
    75
  • To page
    79
  • Abstract
    Background: Students are highly tended to consume junk foods. This study aimed to predict the consumption of lownutrient junk foods based on the constructs of the Theory of Planned Behavior among male students across Chenaran city in 2015. Methods: This descriptiveanalytic study incorporated 143 eighthgrade students who were selected via simple randomization method. They completed the relevant questionnaire. The data were analyzed in SPSS (version 18) using oneway analysis of variance, regression analysis, and Pearson correlation test. Significance level was 0.05. Results: The junk foods most frequently consumed comprised of chocolate, cake, and fizzy drinks. Results indicated that subjective norms and perceived behavioral control could predict 9 percent of changes in lownutrient junk food consumption. From among the constructs of the theory of planned behavior, attitude, subjective norms, and perceived behavioral control are able to predict 16 percent of behavioral intention changes. Conclusions: Given the tendency of students towards the consumption of lownutrient junk foods, administration of theorybased educational interventions such as the theory of planned behavior seems necessary.
  • Keywords
    Theory of Planned Behavior , Junk food , Students
  • Journal title
    Journal of Health Sciences and Technology
  • Journal title
    Journal of Health Sciences and Technology
  • Record number

    2512953