Prevalence of diabetes and hypertension in a rural population of Bangladesh

Diabetes Care. 1995 Apr;18(4):555-8. doi: 10.2337/diacare.18.4.555.

Abstract

OBJECTIVE--To determine the prevalence of non-insulin-dependent diabetes mellitus (NIDDM), impaired glucose tolerance (IGT), and hypertension in a rural community of Bangladesh. RESEARCH DESIGN AND METHODS--A cluster sampling of 1,005 subjects > 15 years of age in the rural community of Dohar was investigated. Capillary blood glucose of fasting and 2 h after 75 g oral glucose (2hBG) were estimated. World Health Organization criteria were used for diagnosis of NIDDM and IGT. Blood pressure, height, and weight were also measured. RESULTS--The crude prevalence of NIDDM was 2.1% (men 3.1, women 1.3%) and IGT was 13.3% (men 14.4, women 12.4%). Age-adjusted (30-64 years of age) prevalence was 2.23% (95% confidence interval [CI] 1.01-3.45) for NIDDM and 15.67% (95% CI 12.59-18.75) for IGT. Prevalence of hypertension with systolic blood pressure (sBP) > or = 140 mmHg was 10.5% and with diastolic blood pressure (dBP) > 90 mmHg was 9.0%. Increased age was the risk factor for NIDDM, IGT, and hypertension; whereas increased BMI showed inconsistent association with them. Relative risk for sBP with higher BMI ( < 22.0 vs. > or = 22.1) was 1.94 with CI 1.55-2.43 and for dBP it was 2.2 with CI 1.40-3.46. Correlation of sBP was significant with age, BMI, and 2hBG. Similar correlation was also observed with dBP. CONCLUSIONS--High prevalences of NIDDM, IGT, and hypertension were observed among rural subjects. Increased age was shown to be an important risk factor for all these disorders, whereas BMI-associated risk was significant with NIDDM and hypertension but not with IGT.

MeSH terms

  • Adolescent
  • Adult
  • Age Factors
  • Aged
  • Bangladesh / epidemiology
  • Cluster Analysis
  • Diabetes Mellitus, Type 2 / complications
  • Diabetes Mellitus, Type 2 / epidemiology*
  • Female
  • Humans
  • Hypertension / complications
  • Hypertension / epidemiology*
  • Male
  • Middle Aged
  • Prevalence
  • Risk Factors
  • Rural Population