Prevalence of diabetes and impaired fasting glucose in a selected population with special reference to influence of family history and anthropometric measurements--the Kolkata policeman study

J Assoc Physicians India. 2008 Nov;56:841-4.

Abstract

Aims and objectives: The aim of this study was to estimate the prevalence of diabetes as well as IFG in a population of policemen and to evaluate the possible influence of some risk factors.

Material and methods: It was an epidemiological study on a group of policemen in Kolkata. Diagnosis of diabetes was based on history and fasting plasma glucose. The study population was divided in three categories: normoglycaemic, IFG and diabetes. BMI, waist circumference, WHR and waist-to-height ratio were estimated.

Results: Out of 2160 subjects with a mean age of 36.4 yrs (between 20 and 60 yrs), diabetes was found in 11.5% (10.4% known and 1.1% newly diagnosed) and 6.2% had IFG. Prevalence of diabetes was found to be increasing with age (p < 0.001). There was no statistically significant difference in BMI when compared between groups (normoglycaemic, IFG and diabetes). Waist circumference, waist-to-height ratio and WHR of normoglycaemic group were significantly less than those with IFG and diabetes; however there was no statistically significant difference between the diabetes and IFG groups. Parental history had significant influence on the prevalence of diabetes; a 37.5% prevalence was found in persons with history of biparental diabetes and 20.8% with uniparental diabetes, whereas it was only 9.9% without any family history (p < 0.01 and p < 0.05, respectively.).

Conclusion: The prevalence of diabetes in the study population was high and was strongly influenced by family history, age and abdominal adiposity, without having any appreciable impact of BMI.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Age Factors
  • Anthropometry*
  • Blood Glucose / metabolism*
  • Body Mass Index
  • Diabetes Mellitus / blood
  • Diabetes Mellitus / diagnosis
  • Diabetes Mellitus / epidemiology*
  • Glucose Intolerance / epidemiology*
  • Humans
  • India / epidemiology
  • Male
  • Middle Aged
  • Parents
  • Police / statistics & numerical data*
  • Prevalence
  • Regression Analysis
  • Risk Factors
  • Socioeconomic Factors
  • Waist Circumference
  • Waist-Hip Ratio / statistics & numerical data

Substances

  • Blood Glucose