의사결정나무분석을 이용한 성인의 알코올사용장애 위험요인

Abstract

Objectives: The aim of this study was to identify risk factors of alcohol use disorder among Korean adults. Methods: Cross-sectional exploratory study based on data collected from Data from the 6th Korea National Health and Nutrition Examination Survey in 2015 were performed in this study. There were 3,248 participants who were 2,558 normal drinkers while 690 had alcohol use disorder. Decision tree analysis were used to exam socio-demographic and health-related factors to predict alcohol use disorder. Results: As a result of decision tree analysis, the predictive model for factors related to alcohol use disorder in Korean adults presented with 8 pathways. The significant predictors of alcohol use disorder were age, gender, smoking, marital status, and house income. Male smokers whose household income is ‘high’ or ‘low’ are most vulnerable to alcohol use disorders. Conclusions: This study indicates that need to consider health behavior and house income when we practice prevention policies and health education of alcohol use disorder.