title: Prevalence of diabetes, metabolic syndrome, and cardiovascular risk factors in US Asian Indians: results from a national study.
abstract: BACKGROUND
  Although studies of immigrant Asian Indians in other countries show high rates of diabetes (DM), metabolic syndrome (MetS), and cardiovascular disease (CVD), no randomized, population-based studies of this rapidly growing ethnic group exist in the US.
  
  
  METHODS
  The sample comprised 1038 randomly selected Asian Indian immigrants, aged 18 years and older at seven US sites. Prevalence of diabetes and MetS (age-adjusted and sex-adjusted means) was estimated and ANOVA was used to calculate gender and group differences (normoglycemia/impaired fasting glucose/diabetes) for CVD risk factors.
  
  
  RESULTS
  The mean age was 48.2 years. The majority of respondents were male, married, educated, and with some form of health insurance. Prevalence of diabetes was 17.4%, and 33% of the respondents had prediabetes. Cardiovascular risk factors, especially high levels of triglycerides, total cholesterol, LDL cholesterol, homocysteine, and C-reactive protein, and low levels of HDL cholesterol, were also prevalent; elevated lipoprotein(a) was not observed. The age-adjusted prevalence of MetS was 26.9% by the original NCEP/ATP III criteria, 32.7% by the modified NCEP/ATP III criteria, and 38.2% by the IDF criteria. The MetS rates for women, but not for men, increased with age using all three criteria. There was a progressive worsening of all metabolic parameters as individuals progressed from normal to IFG to diabetes.
  
  
  CONCLUSIONS
  The prevalence rates of diabetes and MetS among US Asian Indians are higher than reported in earlier, nonrandomized, smaller surveys. These data provide a firm basis for future mechanistic and interventional studies.
authors.affiliation: Texas A&M University, College Station, TX, USA. misra@hlkn.tamu.edu <misra@hlkn.tamu.edu>
authors.forename: Ranjita
authors.initials: R
authors.lastname: Misra
authors.forename: Thakor
authors.initials: T
authors.lastname: Patel
authors.forename: Purushotham
authors.initials: P
authors.lastname: Kotha
authors.forename: Annaswamy
authors.initials: A
authors.lastname: Raji
authors.forename: Om
authors.initials: O
authors.lastname: Ganda
authors.forename: MaryAnn
authors.initials: M
authors.lastname: Banerji
authors.forename: Viral
authors.initials: V
authors.lastname: Shah
authors.forename: Kris
authors.initials: K
authors.lastname: Vijay
authors.forename: Sundar
authors.initials: S
authors.lastname: Mudaliar
authors.forename: Dinakar
authors.initials: D
authors.lastname: Iyer
authors.forename: Ashok
authors.initials: A
authors.lastname: Balasubramanyam
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001213:Asian; D001786:Blood Glucose / Q000032:analysis; D002097:C-Reactive Protein / Q000032:analysis; D002318:Cardiovascular Diseases / Q000453:epidemiology*; D002784:Cholesterol / Q000097:blood; D008076:Cholesterol, HDL / Q000097:blood; D008078:Cholesterol, LDL / Q000097:blood; D003920:Diabetes Mellitus / Q000453:epidemiology*; D005260:Female; D006710:Homocysteine / Q000097:blood; D006801:Humans; D008297:Male; D024821:Metabolic Syndrome / Q000453:epidemiology*; D008875:Middle Aged; D011236:Prediabetic State / Q000453:epidemiology; D015995:Prevalence; D012307:Risk Factors; D012737:Sex Factors; D014280:Triglycerides / Q000097:blood; D014481:United States / Q000453:epidemiology; D055105:Waist Circumference; D055815:Young Adult
chemical_list: D001786:Blood Glucose; D008076:Cholesterol, HDL; D008078:Cholesterol, LDL; D014280:Triglycerides; D006710:Homocysteine; D002097:C-Reactive Protein; D002784:Cholesterol