title: [Metabolic syndrome and chronic kidney disease in a rural adult population of Hunan province, China].
abstract: OBJECTIVE
  To explore the relationship between metabolic syndrome and chronic kidney disease (CKD) in a rural adult population of Hunan province.
  
  
  METHODS
  1953 residents (older than 18 years) from the same village were randomly selected, using a stratified, multistage sampling method. All residents were interviewed and tested for albuminuria with morning spot urine albumin to creatinine ratio (abnormal: >/= 30 mg/g), reduced renal function with estimated glomerular filtration rate by modified MDRD equation [abnormal: < 60 ml/min (1.73 m(2))]. The associations of kidney damage indicators with demographic characteristics (age, gender, smoking status), indicators on health (diabetes, hypertension) and metabolic syndrome traits were examined.
  
  
  RESULTS
  Eligible data of 1709 subjects were enrolled in the study. After the adjustment of age, gender and other metabolic syndrome traits, participants with metabolic syndrome had a higher prevalence of CKD (19.3% vs. 13.2%, P < 0.001) than those without the syndrome. As the number of metabolic syndrome traits increased, so did the prevalence of CKD. There seemed to be a strong and independent association between metabolic syndrome and chronic kidney disease. For participants without hypertension and diabetes, metabolic syndrome was also associated with CKD (OR value 1.733, 95%CI: 1.20 - 2.41, P = 0.004).
  
  
  CONCLUSIONS
  In these 1709 adults under this study from a village of southern China, metabolic syndrome seemed to be associated with CKD.
authors.affiliation: Department of Nephrology, The Second Xiangya Hospital, Central South University, Changsha 410000, China.
authors.forename: Xiang
authors.initials: X
authors.lastname: Peng
authors.forename: Ying
authors.initials: Y
authors.lastname: Li
authors.forename: Jun
authors.initials: J
authors.lastname: Li
authors.forename: Fu-you
authors.initials: FY
authors.lastname: Liu
authors.forename: You-ming
authors.initials: YM
authors.lastname: Peng
authors.forename: Lin
authors.initials: L
authors.lastname: Sun
authors.forename: Le-tian
authors.initials: LT
authors.lastname: Zhou
authors.forename: Wen-bin
authors.initials: WB
authors.lastname: Tang
authors.forename: Ya-yi
authors.initials: YY
authors.lastname: He
authors.forename: Xing
authors.initials: X
authors.lastname: Chen
authors.forename: Li-jun
authors.initials: LJ
authors.lastname: Yang
authors.forename: Jun
authors.initials: J
authors.lastname: Chen
authors.forename: Jing-wen
authors.initials: JW
authors.lastname: Wu
authors.forename: Jin-ding
authors.initials: JD
authors.lastname: Peng
authors.forename: De-jun
authors.initials: DJ
authors.lastname: Wang
authors.forename: Ren-he
authors.initials: RH
authors.lastname: Yu
mesh_terms: D000328:Adult; D000368:Aged; D002681:China / Q000453:epidemiology; D003920:Diabetes Mellitus / Q000453:epidemiology; D005260:Female; D006801:Humans; D006973:Hypertension / Q000453:epidemiology; D008297:Male; D024821:Metabolic Syndrome / Q000453:epidemiology*; D008875:Middle Aged; D015995:Prevalence; D051436:Renal Insufficiency, Chronic / Q000453:epidemiology*; D012307:Risk Factors; D012424:Rural Population