Journal of Obesity & Metabolic Syndrome



Korean J Obes 2013; 22(1): 39-49

Published online March 30, 2013

Copyright © Korean Society for the Study of Obesity.

Factors Influencing Obesity among Adolescent:
Analysis of 2011 Korean Youth Risk Behavior Survey

Young-Ju Jee, Young-Hae Kim(1)*

Department of Nursing, Kyungnam University, Changwon, Department of Nursing, Pusan National University(1)

Received: September 8, 2012; Reviewed : October 19, 2012; Accepted: January 2, 2013

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Background: Child and adolescent obesity is increasing worldwide, including Korea, and its importance is being emphasized. Therefore, identifying predictive factors of adolescent obesity is important for preventing obesity and necessary for developing intervention programs.
Methods: This study is a secondary analysis using raw data from the 2011 Adolescent Health Behavior Online Survey. Total of 73,473 subjects were included in the analysis. The questionnaires used for this study assessed eating behaviors, BMI, gender, age, parents' education levels, perceived state of health, social economic status, perceived body image, breakfast consumption, fruit intake, consumption of carbonated soft drinks, vegetable intake, milk consumption, fast food consumption, ramen consumption, confectionery consumption, frequency and intensity of physical exercise, frequency of muscle strengthening exercise, average hours of sedentary activities, perceived happiness, perceived level of stress, sleep hygiene, and experience of depression. Data were analyzed with descriptive statistics, x2-test, t-test, ANOVA and multiple logistic regression using SPSS WIN 14.0 program.
Results: The prevalence of obesity was 8.6%. The normal weight group and obese group significantly differed in terms of age, father's education, mother's education, gender, body image, state of health, fruit intake, consumption of ramen, vegetable intake, confectionery consumption, sleep hygiene, high intensity activity and depression. The predictors of adolescent obesity were age, gender, body image, state of health, fruit intake, consumption of ramen, vegetable intake, confectionery consumption, sleep hygiene, and depression. The above mentioned dependent factors were explicable causes of 46% of adolescent obesity according to the logistic model.
Conclusion: Healthy perception of body image, obesity education appropriate for each age group, and healthy eating habits should be included when educating adolescents on obesity Also, importance of mental health should not be overlooked.

Keywords: Adolescent, Obesity, Exercise, Body Image, Body Weight

Fig. 1. Theoretical framework of obesity of the adolescent.

Comparison of General Characteristics between normal weight group and Obese Group according to Obesity and Gender (n = 73,473)

Comparison of Obesity-related behaviors between normal weight and Obese Groups according to Obesity and Gender (n = 73,473)

Comparison of Mental-psychological Characteristics between normal weight and Obese Groups according to Obesity and Gender (n = 73,473)

Predictors of Obesity in Adolescents by Using Multiple Logistic Regression (n = 73,473)

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