title: Clustering of four major lifestyle risk factors among Korean adults with metabolic syndrome.
abstract: The purpose of this study was to investigate the clustering pattern of four major lifestyle risk factors-smoking, heavy drinking, poor diet, and physical inactivity-among people with metabolic syndrome in South Korea. There were 2,469 adults with metabolic syndrome aged 30 years or older available with the 5th Korean National Health and Nutrition Examination Survey dataset. We calculated the ratio of the observed to expected (O/E) prevalence for the 16 different combinations and the prevalence odds ratios (POR) of four lifestyle risk factors. The four lifestyle risk factors tended to cluster in specific multiple combinations. Smoking and heavy drinking was clustered (POR: 1.86 for male, 4.46 for female), heavy drinking and poor diet were clustered (POR: 1.38 for male, 1.74 for female), and smoking and physical inactivity were also clustered (POR: 1.48 for male). Those who were male, younger, low-educated and living alone were much more likely to have a higher number of lifestyle risk factors. Some helpful implications can be drawn from the knowledge on clustering pattern of lifestyle risk factors for more effective intervention program targeting metabolic syndrome.
authors.affiliation: Department of Public Health, Graduate school of Korea University, Seoul, South Korea.|Services Department, Medical Library, Korea University, Seoul, South Korea.
authors.forename: Shin
authors.initials: S
authors.lastname: Ha
authors.affiliation: Division of Family Medicine, Seoul National University Graduate School of Medicine, Seoul, South Korea.
authors.forename: Hui Ran
authors.initials: HR
authors.lastname: Choi
authors.affiliation: Department of Preventive Medicine, Konyang University College of Medicine, Daejeon, South Korea.
authors.forename: Yo Han
authors.identifier: http://orcid.org/0000-0002-9631-9969
authors.initials: YH
authors.lastname: Lee
mesh_terms: D000328:Adult; D000428:Alcohol Drinking / Q000009:adverse effects; D044466:Asian People; D016000:Cluster Analysis; D004032:Diet; D015444:Exercise; D005260:Female; D006801:Humans; D008019:Life Style; D008297:Male; D024821:Metabolic Syndrome / Q000453:epidemiology* / Q000208:ethnology / Q000209:etiology; D008875:Middle Aged; D009749:Nutrition Surveys / Q000706:statistics & numerical data*; D016017:Odds Ratio; D015995:Prevalence; D056910:Republic of Korea / Q000453:epidemiology; D018570:Risk Assessment / Q000379:methods / Q000706:statistics & numerical data*; D012307:Risk Factors; D012907:Smoking / Q000009:adverse effects