Evidence map›Paper›PMID 36505629›Full record

ArticleJournal of family medicine and primary care2022

Geospatial epidemiology of hypertension and its risk factors in India: Findings from National Family Health Survey (2015-2016).

Sheikh Mohd Saleem, Gurpreet Singh, Ilham Zaidi, Inaamul Haq, Ijyaa Singh, Sahifa Anjum, Mahendra P Singh, Sonu Goel

Open access · goldAbstract read
In one paragraph

Article in Journal of family medicine and primary care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 37% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Spatial Association between Air Pollution and Non-communicable Diseases and their Distribution in India.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine · 2026
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Sheikh Mohd SaleemIndependent Public Health Researcher, Jammu and Kashmir, India.
Gurpreet SinghAchutha Menon Centre for Health Science Studies, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, Kerala, India.
Ilham ZaidiAchutha Menon Centre for Health Science Studies, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, Kerala, India.
Inaamul HaqDepartment of Community Medicine, Government Medical College, Srinagar, Jammu and Kashmir, India.
Ijyaa SinghAchutha Menon Centre for Health Science Studies, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, Kerala, India.
Sahifa AnjumAchutha Menon Centre for Health Science Studies, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, Kerala, India.
Mahendra P SinghDepartment of Community Medicine and School of Public Health, Post Graduate Institute of Medical and Education Research, Chandigarh, India.
Sonu GoelDepartment of Community Medicine and School of Public Health, Post Graduate Institute of Medical and Education Research, Chandigarh, India.
Sree Chitra Thirunal Institute for Medical Sciences and Technology · INPost Graduate Institute of Medical Education and Research · INGovernment Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The fourth round of National Family Health Survey (2015-2016) measured blood pressure for the first time and provided a unique opportunity of exploring trends in hypertension prevalence across states and districts for the first time. Aim: This study will be the first in India to estimate the geospatial variation of hypertension among those in the 15-49 years age group in India. Materials and Methods: Out of a total of 616,346 selected occupied households, 601,509 were successfully interviewed, giving a response rate of 98%. We adjusted the proportion of hypertension obtained by using national sample weights. We built a multivariable logistic regression model to assess the determinants of hypertension. Results: The overall weighted prevalence of hypertension was 11.7%, and the prevalence was 11.1% in females and 11.0% in males. Urban areas had a higher prevalence (13.0%) compared to rural areas (11.0%). Those with no education (14.4%) and those who reported smoking (16.5%) had hypertension. Consumption of alcohol, fruits, and eggs was also found to be significantly related to hypertension. Conclusion: Hypertension epidemic is spreading alarmingly in India across rural and urban populations. Disturbingly, the hypertension prevalence is now becoming more concentrated among the poor. This phenomenon has serious implications for the country's social and economic well-being. Urgent preventive measures need to be taken at a multidisciplinary level.

Indexed as

HypertensionNCDsNFHS-4prevalencerisk factors

Identifiers

PMID36505629
PMCPMC9730991
OpenAlexW4311280163

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.