title: The prevalence of metabolic syndrome and factors associated with quality of dialysis among hemodialysis patients in Southern Taiwan.
abstract: OBJECTIVE
  The purpose of this study was to evaluate the prevalence of metabolic syndrome (MetS) among hemodialysis patients and factors associated with quality of dialysis.
  
  
  METHODS
  Data were collected from 377 long-term hemodialysis patients who received hemodialysis treatment from clinics in Tainan and Kaohsiung between November 2009 and February 2010. MetS was defined using the criteria set in 2007 by the Bureau of Health Promotion, Department of Health, Taiwan. The measurement of Kt/V was used as an indicator of the quality of dialysis. A below 1.4 Kt/V was considered poor dialysis quality.
  
  
  RESULTS
  Results showed that the prevalence of MetS among the chronic hemodialysis patients in this sample was 63.1%. Logistic regression results identified that the quality of dialysis in females was better than that in males (odds ratio (OR)=7.98, 95% confidence interval (CI): 2.52-25.31). Better quality dialysis was associated with older age, longer treatment time, and increased blood flow rate (OR=1.49, 13.63, and 1.35, respectively). However, for every one kilogram increase in weight, the quality of dialysis decreased by 13 percents (OR=0.87, 95% CI: 0.83-0.92).
  
  
  CONCLUSIONS
  MetS is common among hemodialysis patients. The prevalence of hypertension, hyperlipidemia, and hyperglycaemia were significantly higher among hemodialysis patients. Quality of dialysis related to gender, age, weight, and the dialysis prescription (treatment time and blood flow rate).
authors.affiliation: Chen Xiangguo Joint Clinics, Tainan, Taiwan.
authors.forename: Shu-Fen
authors.initials: SF
authors.lastname: Tu
authors.forename: Yu-Ching
authors.initials: YC
authors.lastname: Chou
authors.forename: Chien-An
authors.initials: CA
authors.lastname: Sun
authors.forename: Shu-Chun
authors.initials: SC
authors.lastname: Hsueh
authors.forename: Tsan
authors.initials: T
authors.lastname: Yang
mesh_terms: D000367:Age Factors; D000368:Aged; D001835:Body Weight; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D006943:Hyperglycemia / Q000453:epidemiology; D006949:Hyperlipidemias / Q000453:epidemiology; D006973:Hypertension / Q000453:epidemiology; D007676:Kidney Failure, Chronic / Q000628:therapy*; D008297:Male; D024821:Metabolic Syndrome / Q000453:epidemiology*; D008875:Middle Aged; D015995:Prevalence; D011787:Quality of Health Care / Q000706:statistics & numerical data*; D006435:Renal Dialysis / Q000706:statistics & numerical data*; D012737:Sex Factors; D013624:Taiwan / Q000453:epidemiology