Analysis of Factors Affecting Korean Eating Behavior

한국인의 식행동에 영향을 주는 요인 분석

  • Kim, Jung-Huyn (Department of Food and Nutrition, College of Home Economics, Yonsei University) ;
  • Lee, Min-Joon (Department of Food and Nutrition, College of Home Economics, Yonsei University) ;
  • Yang, Il-Sun (Department of Food and Nutrition, College of Home Economics, Yonsei University) ;
  • Moon, Soo-Jae (Department of Food and Nutrition, College of Home Economics, Yonsei University)
  • 김정현 (연세대학교 생활과학대학 식품영양학과) ;
  • 이민준 (연세대학교 생활과학대학 식품영양학과) ;
  • 양일선 (연세대학교 생활과학대학 식품영양학과) ;
  • 문수재 (연세대학교 생활과학대학 식품영양학과)
  • Published : 1992.03.30

Abstract

This study was carried out to evaluate Korean eating behavior which is highly correlated with their nutritional status, and to analyze the effect of various factors on eating behavior. The above information was used to develop a nutritional status for Korea. The 2000 Korean people were selected with the stratified random sampling method. This study used a questionaire as instrument tool. The questionaire consists of :1) socio-demographic characteristics of the subjects; 2) the valuation of food and nutrition; 3) the concern of food and nutrition; 4) psychological health condition; 5) physical health condition; 6) nutrient consumption status and 7) analysis of eating behavior. Data were analyzed by using a SPSS PC Package. Significant differences and correlation among variables were determined by the t-test, $x^2-test$, ANOVA, pearson's correlation coefficient and Multiple regression analysis. The results of this study can be summarized as follow, All nutrient intakes were significantly correlated with eating behavior score(p<0.001). Factors such as socio-economic status, valuation and concern on food and nutrition, and psychological health condition had significant relationship with eating behavior. But the physical health condition had no significant effect on it. Multiple regression analysis showed that valuation of food and nutrition made the greatest contribution(35.6% explained) and concern made the second greatest contribution(10.5% explained). The third was education level(9.8% explained), and the forth psychological health condition(1.8% explained).

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