title: Waist circumference has heterogeneous impact on development of diabetes in different populations: longitudinal comparative study between Australia and Iran.
abstract: OBJECTIVE
  Comparing waist circumference (WC) role in diabetes risk prediction and diagnosis of metabolic syndrome (MS) in different populations.
  
  
  METHODS
  Population-based samples from Australia (n=9026) and Iran (n=8259) were studied in 2000 and followed for approximately 4 years. Follow-up attendance was approximately 58% and mean age was 51 vs. 47. Pearson correlations calculated between WC and other MS components. ROC for the role of WC in the prediction of incident diabetes was used.
  
  
  RESULTS
  Prevalences of MS (48% vs. 28%), an increased WC (58.5% vs. 54.5%), low HDL-C (35% vs. 11.2%), high triglyceride (52.2% vs. 29.6%) were significantly higher in Iran. Fasting glucose >or=5.6mmol/L was higher in Australia (26% vs. 23%). Hypertension was no different ( approximately 38%). Pearson correlations between WC and other MS components were stronger in Australians: FPG (0.32 vs. 0.2), HDL (0.47 vs. 0.16), TG (0.38 vs. 0.30) and SBP (0.38 vs. 0.36). Among women, area under ROC curve for WC as a predictor for diabetes was significantly higher for Australians (0.76 vs. 0.68, p<0.001) with no difference among men (0.69 vs. 0.71, p=0.4).
  
  
  CONCLUSIONS
  WC was more strongly related to other components of MS in Australia. Association between WC and MS or incident diabetes varies between ethnicities.
authors.affiliation: Endocrine Research Unit, Mayo Clinic, Rochester, MN 55902, USA. Rostambeigi.Nassir@mayo.edu
authors.forename: Nassir
authors.initials: N
authors.lastname: Rostambeigi
authors.forename: Jonathan E
authors.initials: JE
authors.lastname: Shaw
authors.forename: Robert C
authors.initials: RC
authors.lastname: Atkins
authors.forename: Arash
authors.initials: A
authors.lastname: Ghanbarian
authors.forename: Adrian J
authors.initials: AJ
authors.lastname: Cameron
authors.forename: Andrew
authors.initials: A
authors.lastname: Forbes
authors.forename: Amirabbas
authors.initials: A
authors.lastname: Momenan
authors.forename: Farzad
authors.initials: F
authors.lastname: Hadaegh
authors.forename: Parvin
authors.initials: P
authors.lastname: Mirmiran
authors.forename: Paul Z
authors.initials: PZ
authors.lastname: Zimmet
authors.forename: Fereidoun
authors.initials: F
authors.lastname: Azizi
authors.forename: Andrew M
authors.initials: AM
authors.lastname: Tonkin
mesh_terms: D000328:Adult; D000368:Aged; D001315:Australia / Q000453:epidemiology; D003924:Diabetes Mellitus, Type 2 / Q000175:diagnosis / Q000453:epidemiology*; D015444:Exercise; D005260:Female; D015438:Health Behavior; D006801:Humans; D007492:Iran / Q000453:epidemiology; D008137:Longitudinal Studies; D008297:Male; D024821:Metabolic Syndrome / Q000175:diagnosis / Q000453:epidemiology*; D008875:Middle Aged; D009765:Obesity / Q000175:diagnosis / Q000453:epidemiology*; D015995:Prevalence; D012306:Risk; D018570:Risk Assessment; D011795:Surveys and Questionnaires; D055105:Waist Circumference / Q000502:physiology*