title: Sex differences in the relationship between socioeconomic status and metabolic syndrome: the Korean National Health and Nutrition Examination Survey.
abstract: OBJECTIVE
  To investigate sex differences in the relationship between socioeconomic status (SES) and the prevalence of metabolic syndrome (MetS) in Korean adults.
  
  
  METHODS
  We examined the relationship between SES, as measured by household income or education level, and the prevalence of MetS in Korean adults who participated in the 2007-2008 Korean National Health Examination and Nutrition Survey (KNHANES). The adjusted odds ratios (ORs) for MetS were calculated using multivariate logistic regression analysis across household income and education level quartiles.
  
  
  RESULTS
  We found significant differences between men and women in the association between SES and MetS, with a positive association for men and an inverse association for women. The adjusted OR and 95% confidence interval (95% CI) for MetS for the highest vs. lowest quartile of household income was 1.59 (1.15-2.20) in men. The adjusted ORs for MetS for the highest vs. lowest quartile of household income and education level were 0.54 (0.41-0.72) and 0.26 (0.17-0.38) in women, respectively.
  
  
  CONCLUSIONS
  We found sex differences in the relationship between SES and the prevalence of MetS in Korea. These findings suggest that sex-specific public health interventions that consider SES are needed for the prevention and treatment of MetS.
authors.affiliation: Department of Family Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
authors.forename: So-Jung
authors.initials: SJ
authors.lastname: Park
authors.forename: Hee-Taik
authors.initials: HT
authors.lastname: Kang
authors.forename: Chung-Mo
authors.initials: CM
authors.lastname: Nam
authors.forename: Byoung-Jin
authors.initials: BJ
authors.lastname: Park
authors.forename: John A
authors.initials: JA
authors.lastname: Linton
authors.forename: Yong-Jae
authors.initials: YJ
authors.lastname: Lee
mesh_terms: D000328:Adult; D000428:Alcohol Drinking / Q000453:epidemiology; D044466:Asian People / Q000706:statistics & numerical data*; D001786:Blood Glucose / Q000378:metabolism*; D015992:Body Mass Index; D005260:Female; D006801:Humans; D008075:Lipoproteins, HDL / Q000097:blood*; D016015:Logistic Models; D008297:Male; D024821:Metabolic Syndrome / Q000097:blood / Q000191:economics / Q000453:epidemiology*; D015999:Multivariate Analysis; D009749:Nutrition Surveys; D015995:Prevalence; D056910:Republic of Korea / Q000453:epidemiology; D012727:Sex Characteristics; D012907:Smoking / Q000453:epidemiology; D012923:Social Class; D014280:Triglycerides / Q000097:blood*; D055105:Waist Circumference
chemical_list: D001786:Blood Glucose; D008075:Lipoproteins, HDL; D014280:Triglycerides