title: [Study on the risk factors of metabolic syndrome in Jiangsu province, China].
abstract: OBJECTIVE
  To explore the associated risk factors of metabolic syndrome in Jiangsu province, China.
  
  
  METHODS
  Using identical protocol and questionnaire, an epidemiological study was carried out in a population of 5888 adults in 12 counties in Jiangsu. Anthropometric test and blood sampling were conducted at the time of interview. IDF (2005) was used as the diagnostic criteria of metabolic syndrome . The prevalence and age-standardized prevalence of metabolic syndrome were calculated. Univariate and multivariate logistic regression model were used to identify associated risk factors.
  
  
  RESULTS
  The prevalence and age-standardized prevalence of metabolic syndrome in Jiangsu were 19.07% (11.10% in males and 25.72% in females) and 17.48% (11.49% in males, 22.86 % in females), respectively. Among the potential risk factors of metabolic syndrome as gender, age, education level, occupation, income, physical activity, smoking, alcohol drinking, disease family history, data from univariate and multivariate logistic regression analyses suggested that gender (OR = 1.91), age (OR = 1.15), physical inactivity (OR = 1.94), with hypertension family history (OR = 1.99) and with obesity family history (OR = 6.24) could significantly increase the risk of disease development.
  
  
  CONCLUSIONS
  Metabolic syndrome has become a significant public health problem among the adults in Jiangsu province.
authors.affiliation: Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China.
authors.forename: Ming
authors.initials: M
authors.lastname: Wu
authors.forename: Zhi-rong
authors.initials: ZR
authors.lastname: Guo
authors.forename: Jie
authors.initials: J
authors.lastname: Yang
authors.forename: Hui
authors.initials: H
authors.lastname: Zhou
authors.forename: Pei-hua
authors.initials: PH
authors.lastname: Wang
authors.forename: Zu-min
authors.initials: ZM
authors.lastname: Shi
authors.forename: Xiao-shu
authors.initials: XS
authors.lastname: Hu
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D000428:Alcohol Drinking / Q000009:adverse effects; D002681:China / Q000453:epidemiology; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D024821:Metabolic Syndrome / Q000097:blood / Q000453:epidemiology* / Q000235:genetics; D008875:Middle Aged; D009043:Motor Activity / Q000502:physiology; D012307:Risk Factors; D012737:Sex Factors; D012907:Smoking / Q000009:adverse effects; D011795:Surveys and Questionnaires