title: Study of impaired glucose tolerance, dyslipidemia, metabolic syndrome, and cardiovascular risk in a south Indian population.
abstract: BACKGROUND
  In developing countries, obesity is the most prevalent metabolic disease and leads to an important cardiovascular and global mortality rate, either directly or indirectly through cardiovascular risk factors.
  
  
  OBJECTIVE
  We sought to study the prevalence of impaired glucose tolerance (IGT), dyslipidemia, metabolic syndrome (MS), and cardiovascular risk (CVR) in a south Indian population.
  
  
  METHODS
  A cross-sectional, single-center observational study in a cohort of 96 healthy male subjects.
  
  
  METHODS
  Age, body mass index (BMI), blood pressure (BP), total lipid profiles, fating plasma glucose (FPG), post lunch plasma glucose (PLPG), glycated hemoglobin (HbA1c), creatinine and insulin were measured by standard methods.
  
  
  METHODS
  Student's t-test and Chi-square test were used to determine differences between mean and frequency values of continuous and categorical variables.
  
  
  RESULTS
  Significant differences were observed in the means of BMI (28.89 kg/m 2 ) (P<0.0001), FPG (102.41 mg/dL) (P<0.0001), insulin (18.1 μU/L) (P<0.0001), PLPG (149.05 mg/dL) (P<0.0001), diastolic BP (84.41 mmHg) (P<0.01), total cholesterol (166.72 mg/dL) (P<0.001), low-density lipoprotein (90.65 mg/dL) (P<0.0001) in overweight subjects when compared to normal subjects . The prevalence of dyslipidemia, IGT, MS and CVR was significantly higher in younger (<45 years) than middle-aged (46-55 years) subjects.
  
  
  CONCLUSIONS
  The condition of being overweight, expressed as BMI, appears to be a good indicator of risk for IGT, MS, and CVR, particularly in young non-obese subjects (BMI<30).
authors.affiliation: Department of Pharmacology and Clinical Pharmacy, University College of Pharmaceutical Sciences, Kakatiya University, Warangal, India. srinivasmartha@gmail.com
authors.forename: S
authors.initials: S
authors.lastname: Martha
authors.forename: S
authors.initials: S
authors.lastname: Ramreddy
authors.forename: N
authors.initials: N
authors.lastname: Pantam
mesh_terms: D000328:Adult; D017677:Age Distribution; D000368:Aged; D044466:Asian People; D001786:Blood Glucose / Q000378:metabolism; D015992:Body Mass Index; D002318:Cardiovascular Diseases / Q000097:blood / Q000453:epidemiology*; D003430:Cross-Sectional Studies; D050171:Dyslipidemias / Q000097:blood / Q000453:epidemiology*; D018149:Glucose Intolerance / Q000097:blood / Q000453:epidemiology*; D006442:Glycated Hemoglobin / Q000032:analysis; D006801:Humans; D007194:India / Q000453:epidemiology; D007333:Insulin Resistance / Q000502:physiology; D008297:Male; D024821:Metabolic Syndrome / Q000097:blood / Q000453:epidemiology* / Q000503:physiopathology; D008875:Middle Aged; D009765:Obesity / Q000453:epidemiology / Q000503:physiopathology; D015995:Prevalence; D012306:Risk; D012307:Risk Factors
chemical_list: D001786:Blood Glucose; D006442:Glycated Hemoglobin