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J Prev Med Public Health > Volume 43(1); 2010 > Article
Journal of Preventive Medicine and Public Health 2010;43(1): 73-83. doi: https://doi.org/10.3961/jpmph.2010.43.1.73
High Risk Groups in Health Behavior Defined by Clustering of Smoking, Alcohol, and Exercise Habits: National Heath and Nutrition Examination Survey.
Kiwon Kang, Joohon Sung, Chang yup Kim
Department of Preventive Medicine, School of Public Health, Seoul National University, Korea. cykim@snu.ac.kr
OBJECTIVES: We investigated the clustering of selected lifestyle factors (cigarette smoking, heavy alcohol consumption, lack of physical exercise) and identified the population characteristics associated with increasing lifestyle risks. METHODS: Data on lifestyle risk factors, sociodemographic characteristics, and history of chronic diseases were obtained from 7,694 individuals > or =20 years of age who participated in the 2005 Korea National Health and Nutrition Examination Survey (KNHANES). Clustering of lifestyle risks involved the observed prevalence of multiple risks and those expected from marginal exposure prevalence of the three selected risk factors. Prevalence odds ratio was adopted as a measurement of clustering. Multiple correspondence analysis, Kendall tau correlation, Man-Whitney analysis, and ordinal logistic regression analysis were conducted to identify variables increasing lifestyle risks. RESULTS: In both men and women, increased lifestyle risks were associated with clustering of: (1) cigarette smoking and excessive alcohol consumption, and (2) smoking, excessive alcohol consumption, and lack of physical exercise. Patterns of clustering for physical exercise were different from those for cigarette smoking and alcohol consumption. The increased unhealthy clustering was found among men 20-64 years of age with mild or moderate stress, and among women 35-49 years of age who were never-married, with mild stress, and increased body mass index (>30 kg/m2). CONCLUSIONS: Addressing a lack of physical exercise considering individual characteristics including gender, age, employment activity, and stress levels should be a focus of health promotion efforts.
Key words: Lifestyle; Risk factors; Cluster analysis
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