조건부 다변수 로지스틱 회귀모형을 이용한 비만관련 요인분석 = Analysis of Factors Related to Childhood Obesity by Conditional Multiple Logistic Regression Model

다국어 초록 (Multilingual Abstract)

The control of obese children became a major concern in child health care sector as the number of obese children increses. The aim of this study was to find out major factors influence on the obesity of children.
1:1 matched case-control study was conducted to control confounding variables such as age and sex. 59 mached data were selected from 2,140 children of two elementary schools in sungbuk-Ku, Seoul. obesity was determined by standard weight for height suggested by the Society of Pediatrics. Cases were difined as obesity of greater than 20% and controls were defindes as within normal weight. Informations on demographic, eating behavior, health behavior, and health status were obtained by questionnaire. Data were analyzed by conditional multiple logistic regression model.
Prevalence of obesity was 3.97% and male(4.03%) was higher then female(3.91%). Among obese children 1.64% were moderate. 1.59% were mild, and 0.74 were severe obesity. Major risk factors were herb drug and mother's adoption of profession. The children who took herb drug for health promotion were more obese(OR=4.24(95% CI : 1.31~13.68)) than who did not. The children whose mother had job were more obese(OR=4.79(95% CI : 1.33~17.27)) than who did not.
Childhood obesity should be prevented and managed because it becomes the primary cause of adult obesity, diabetes, hypertension, and coronary heart disease.