Evidence map›Paper›PMID 42430422›Full record

ArticlePloS one2026

Prevalence and risk factors of hypertension in rural Bangladesh: A population-based cross-sectional study.

Sobiya Aziz Badat, C Emdad Haque, Shakhawat Hossain, Alan Katz, Gias U Ahsan

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Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Sobiya Aziz BadatNatural Resources Institute, University of Manitoba, Winnipeg, Manitoba, Canada.
C Emdad HaqueNatural Resources Institute, University of Manitoba, Winnipeg, Manitoba, Canada.ORCID https://orcid.org/0000-0001-8008-2496
Shakhawat HossainDepartment of Mathematics and Statistics, University of Winnipeg, Winnipeg, Manitoba, Canada.
Alan KatzDepartment of Family Medicine, Max Rady College of Medicine, University of Manitoba, Winnipeg, Manitoba, Canada.
Gias U AhsanDepartment of Public Health, Daffodil International University, Dhaka, Bangladesh.ORCID https://orcid.org/0000-0003-0737-5940

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-communicable diseases (NCDs), such as hypertension, are amongst the most fatal conditions afflicting people living in low- and middle-income countries (LMIC), including Bangladesh. This study addresses the lack of population-based studies in rural Bangladesh by examining the prevalence and distribution of hypertension and its associated risk factors. To this end, we surveyed adults aged ≥18 years (i.e., household heads and their spouses) from 7384 households across 149 villages in rural Bangladesh in 2017 using a semi-structured questionnaire to collect data on blood pressure, anthropometric, socioeconomic, lifestyle, and behavioral risk factors. Multivariate logistic regression analyses identified age, gender, and socioeconomic status as potential predictors of hypertension. The findings also showed that men and women from higher socioeconomic status (SES) groups had higher rates of overweight and obesity, risk factors for the development of hypertension (4.29% and 1.4% in adult men; 5.8% and 2.29% in adult women), as well as higher rates of fruit and vegetable consumption (10.29% and 7.25% in adult men; 9.95% and 6.84% in adult women). A significant association between tobacco consumption and age was observed for women (p=<0.0001), while higher levels of physical activity were found among men aged 45-54 years [OR:1.9, CI 95% (1.1-3.1)]. Furthermore, women in the highest SES brackets were 1.3 times as likely to engage in "moderate" physical activity as those in the lowest brackets. Age and overweight/obesity were found to be the strongest risk factors for hypertension in both genders, while education was not found to be significantly associated with hypertension in women. Notably, the findings revealed that 33.7% of men and 28.6% of women had elevated blood pressure, qualifying them as either prehypertensive or hypertensive. As such, we recommend that policy interventions aimed at stemming the growth of hypertension among Bangladesh's rural populations should take gender-specific risk factors, rural-urban disparities, and socioeconomic context into serious policy consideration.

Indexed as

HypertensionRural PopulationAdolescentAdultAgedBangladeshCross-Sectional StudiesFemaleHumansLife StyleMaleMiddle AgedObesityPrevalenceRisk FactorsSocioeconomic Factors

Identifiers

PMID42430422
PMCPMC13354103

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.