title: Lean people with dysglycemia have a worse metabolic profile than centrally obese people without dysglycemia.
abstract: OBJECTIVE
  This study compared metabolic profiles of Asian Indians with normal waist circumference (WC) and dysglycemia versus those with high WC without dysglycemia.
  
  
  METHODS
  In 2,350 subjects ≥20 years of age from the Chennai Urban Rural Epidemiology Study with full anthropometric and biochemical characterization, high WC was defined as ≥90 cm in males and ≥80 cm in females. Dysglycemia was defined as prediabetes (fasting plasma glucose ≥100 mg/dL and/or 2-h plasma glucose ≥140 mg/dL) or diabetes (fasting plasma glucose ≥126 mg/dL, 2-h plasma glucose ≥200 mg/dL, or treatment for diagnosed diabetes). Coronary artery disease (CAD) was defined as known myocardial infarction or Q waves on electrocardiography. Multivariable logistic regression models were used to explore factors associated with CAD.
  
  
  RESULTS
  Of the subjects, 260 (11.1%) had dysglycemia with normal WC, and 679 (28.9%), had high WC without dysglycemia. Compared with subjects with high WC without dysglycemia, those with dysglycemia/normal WC, adjusted for age, were more likely to be males (P<0.001) and have higher systolic blood pressure (P<0.05), higher serum triglycerides (P<0.001), higher tumor necrosis factor-α (P<0.001), lower high-density lipoprotein cholesterol (P<0.05), and higher prevalence of CAD (6.3% vs. 2.0%; odds ratio 3.25 [95% confidence interval 1.52-6.94]; P=0.002).
  
  
  CONCLUSIONS
  Dysglycemia is associated with a worse cardiometabolic profile than central obesity alone.
authors.affiliation: 1 Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre , WHO Collaborating Centre for Noncommunicable Diseases Prevention and Control, Chennai, India .
authors.forename: Mohan
authors.initials: M
authors.lastname: Deepa
authors.forename: Martina
authors.initials: M
authors.lastname: Papita
authors.forename: Ahmed
authors.initials: A
authors.lastname: Nazir
authors.forename: Ranjit Mohan
authors.initials: RM
authors.lastname: Anjana
authors.forename: Mohammed K
authors.initials: MK
authors.lastname: Ali
authors.forename: Kabayam M Venkat
authors.initials: KM
authors.lastname: Narayan
authors.forename: Viswanathan
authors.initials: V
authors.lastname: Mohan
mesh_terms: D000328:Adult; D044466:Asian People / Q000706:statistics & numerical data; D001786:Blood Glucose / Q000378:metabolism*; D003324:Coronary Artery Disease / Q000097:blood* / Q000453:epidemiology / Q000517:prevention & control; D003430:Cross-Sectional Studies; D005260:Female; D006442:Glycated Hemoglobin / Q000378:metabolism; D006801:Humans; D006943:Hyperglycemia / Q000097:blood* / Q000453:epidemiology / Q000208:ethnology; D007194:India / Q000453:epidemiology; D008297:Male; D024821:Metabolic Syndrome / Q000097:blood* / Q000453:epidemiology; D008875:Middle Aged; D056128:Obesity, Abdominal / Q000097:blood* / Q000453:epidemiology / Q000208:ethnology; D015995:Prevalence; D013851:Thinness / Q000097:blood* / Q000453:epidemiology / Q000208:ethnology; D044465:White People / Q000706:statistics & numerical data
chemical_list: D001786:Blood Glucose; D006442:Glycated Hemoglobin; C517652:hemoglobin A1c protein, human