Prevalence and correlates of hypertension in a semi-rural population of Southern India

J Hum Hypertens. 2017 Dec;32(1):66-74. doi: 10.1038/s41371-017-0010-5. Epub 2017 Nov 27.

Abstract

While elevated blood pressure is a recognized risk factor for cardiovascular disease, the prevalence of hypertension still remains unclear for most populations. A door-to-door survey was conducted using modified WHO STEPS questionnaire in a group of villages under the Thavanampalle Mandal of Chittoor District in the state of Andhra Pradesh of South India. Data were collated and analyzed for 16,636 individuals (62.3% females and 37.7% males) above 15 years of age. Overall, prevalence of hypertension (as per JNC-7 classification) was found to be 27.0% (95% CI, 26.3, 27.7) in the surveyed community with 56.7% of the total hypertensives being diagnosed for the first time during the survey. An additional 39.1% had their blood pressure readings in the prehypertensive range. Among the known Hypertensives on treatment only 46.2% had a blood pressure recording within acceptable limits, with 31.2% in the prehypertensive range and only 15.0% in the normal range. Systolic blood pressure (SBP) of the surveyed population showed a continuous linear increase with age, but diastolic blood pressure (DBP) peaked and started reducing in early fifth decade in males. Male gender, increasing age, higher body mass index (BMI), increased waist-hip ratio, increased body weight, family history of hypertension, death of spouse, and diabetes were found to be positively correlated with hypertension. Risk factors of alcohol intake, use of ground nut/palm oil, and family history of diabetes lost their independent predictive ability for hypertension on multivariate logistic regression analysis. The level of physical activity was also not found to be a significant predictor of hypertension in the study population.

MeSH terms

  • Adult
  • Cross-Sectional Studies
  • Female
  • Humans
  • Hypertension / epidemiology*
  • India / epidemiology
  • Male
  • Middle Aged
  • Prevalence
  • Rural Population / statistics & numerical data