Prevalence and associated risk factors of hypertension among persons aged 15–49 in India: a cross-sectional study

Objectives This is the first attempt to provide estimates on the prevalence of hypertension at the national, state and district level, a prerequisite for designing effective interventions. Besides, the study aims to identify the risk factors of hypertension.Design We analysed cross-sectional survey...

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Main Authors: Manish Kumar, Soumitra Ghosh
Format: Article
Language:English
Published: BMJ Publishing Group 2019-12-01
Series:BMJ Open
Online Access:https://bmjopen.bmj.com/content/9/12/e029714.full
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author Manish Kumar
Soumitra Ghosh
author_facet Manish Kumar
Soumitra Ghosh
author_sort Manish Kumar
collection DOAJ
description Objectives This is the first attempt to provide estimates on the prevalence of hypertension at the national, state and district level, a prerequisite for designing effective interventions. Besides, the study aims to identify the risk factors of hypertension.Design We analysed cross-sectional survey data from the fourth round (2015–2016) of National Family Health Survey (NFHS). NFHS was conducted between January 2015 and December 2016, gathering information on a range of indicators including blood pressure. The age adjusted prevalence of hypertension was calculated for state comparison, while multilevel logistic regression analysis was done to assess the correlates of hypertension.Setting and participants India (2015–2016; n=811 917) aged 15–49.Primary and secondary outcome measures The primary outcome is hypertension, which has been defined as systolic blood pressure ≥140 mm Hg and/or diastolic blood pressure ≥90 mm Hg.Results The age-adjusted prevalence of hypertension in India was 11.3% (95% CI 11.16% to 11.43%) among persons aged between 15 and 49 and was four percentage points higher among males 13.8% (95% CI 13.46% to 14.19%) than among females 10.9% (95% CI 10.79% to 11.06%). Persons in the urban location (12.5%, 95% CI 12.25% to 12.80%) had a marginally higher prevalence than persons in rural location (10.6%, 95% CI 10.50% to 10.78%). The proportion of population suffering from hypertension varied greatly between states, with a prevalence of 8.2% (95% CI 7.58% to 8.85%) in Kerala to 20.3% (95% CI 18.81% to 21.77%) in Sikkim. Advancing age, obesity/overweight, male sex, socioeconomic status and consumption of alcohol were found to be the major predictors of hypertension.Conclusions Hypertension prevalence is now becoming more concentrated among the poor. Policy measures should be taken to improve the hazardous working conditions and growing social pressures of survival responsible for ‘life-style’ changes such as consumption of high calorie food and alcohol.
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spelling doaj-art-17f2f7bfdb074478b1909b70486a69882025-08-20T02:49:19ZengBMJ Publishing GroupBMJ Open2044-60552019-12-0191210.1136/bmjopen-2019-029714Prevalence and associated risk factors of hypertension among persons aged 15–49 in India: a cross-sectional studyManish Kumar0Soumitra Ghosh11 Montefiore Health System, Bronx, New York, USACardiology, PGIMER, Chandigarh, IndiaObjectives This is the first attempt to provide estimates on the prevalence of hypertension at the national, state and district level, a prerequisite for designing effective interventions. Besides, the study aims to identify the risk factors of hypertension.Design We analysed cross-sectional survey data from the fourth round (2015–2016) of National Family Health Survey (NFHS). NFHS was conducted between January 2015 and December 2016, gathering information on a range of indicators including blood pressure. The age adjusted prevalence of hypertension was calculated for state comparison, while multilevel logistic regression analysis was done to assess the correlates of hypertension.Setting and participants India (2015–2016; n=811 917) aged 15–49.Primary and secondary outcome measures The primary outcome is hypertension, which has been defined as systolic blood pressure ≥140 mm Hg and/or diastolic blood pressure ≥90 mm Hg.Results The age-adjusted prevalence of hypertension in India was 11.3% (95% CI 11.16% to 11.43%) among persons aged between 15 and 49 and was four percentage points higher among males 13.8% (95% CI 13.46% to 14.19%) than among females 10.9% (95% CI 10.79% to 11.06%). Persons in the urban location (12.5%, 95% CI 12.25% to 12.80%) had a marginally higher prevalence than persons in rural location (10.6%, 95% CI 10.50% to 10.78%). The proportion of population suffering from hypertension varied greatly between states, with a prevalence of 8.2% (95% CI 7.58% to 8.85%) in Kerala to 20.3% (95% CI 18.81% to 21.77%) in Sikkim. Advancing age, obesity/overweight, male sex, socioeconomic status and consumption of alcohol were found to be the major predictors of hypertension.Conclusions Hypertension prevalence is now becoming more concentrated among the poor. Policy measures should be taken to improve the hazardous working conditions and growing social pressures of survival responsible for ‘life-style’ changes such as consumption of high calorie food and alcohol.https://bmjopen.bmj.com/content/9/12/e029714.full
spellingShingle Manish Kumar
Soumitra Ghosh
Prevalence and associated risk factors of hypertension among persons aged 15–49 in India: a cross-sectional study
BMJ Open
title Prevalence and associated risk factors of hypertension among persons aged 15–49 in India: a cross-sectional study
title_full Prevalence and associated risk factors of hypertension among persons aged 15–49 in India: a cross-sectional study
title_fullStr Prevalence and associated risk factors of hypertension among persons aged 15–49 in India: a cross-sectional study
title_full_unstemmed Prevalence and associated risk factors of hypertension among persons aged 15–49 in India: a cross-sectional study
title_short Prevalence and associated risk factors of hypertension among persons aged 15–49 in India: a cross-sectional study
title_sort prevalence and associated risk factors of hypertension among persons aged 15 49 in india a cross sectional study
url https://bmjopen.bmj.com/content/9/12/e029714.full
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