Evidence map›Paper›PMID 41464451›Full record

ArticleInternational journal of environmental research and public health2025

Urban Housing and Hypertension Among Women in India: Comparing Slum and Non-Slum Contexts Using National Survey Data.

Uchita Vaid, Wanting Jiang

Abstract readComparative Study
In one paragraph

Article in International journal of environmental research and public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Uchita VaidDepartment of Design Studies, University of Wisconsin-Madison, Madison, WI 53705, USA.
Wanting JiangDepartment of Consumer Science, University of Wisconsin-Madison, Madison, WI 53705, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Housing conditions are increasingly recognized as critical determinants of non-communicable diseases; however, their influence on hypertension (HTN) risk remains underexplored in low- and middle-income countries. In urban India, structural disparities in housing are especially pronounced between slum and non-slum areas, making comparative analysis crucial for understanding context-specific health risks. This study examines the relationship between multidimensional housing conditions and HTN risk among women aged 18-49, drawing on data from 68,422 respondents in the fourth National Family Health Survey. A composite housing index was developed to capture six dimensions: structural quality, housing services access, indoor air quality, crowding, tenure security, and asset ownership. Survey-weighted logistic regressions were used to assess associations between housing conditions and HTN, controlling for key socio-demographic and health-related factors. We found that overall HTN prevalence was lower in slum households (11.6%) than in non-slum households (16.0%). Unexpectedly, slum households reported better structural durability and indoor air quality than non-slum households, suggesting incremental improvements in notified or tenure-secure slums. Better tenure security and asset ownership were found to be protective factors for HTN risk, while better structural quality was associated with higher HTN odds in non-slum areas. Crowding showed contrasting effects: in slums, higher crowding increased HTN risk, whereas in non-slums, lower crowding was associated with higher HTN. These findings highlight the context-dependent nature of housing-health links. Targeted interventions that address both physical infrastructure and broader living conditions can play a vital role in reducing urban hypertension disparities among women in India.

Indexed as

HousingHypertensionPoverty AreasAdolescentAdultFemaleHealth SurveysHumansIndiaMiddle AgedPrevalenceRisk FactorsUrban PopulationYoung Adulthealth disparitieshousing qualityhypertensionIndialow- and middle-income countriesnational family health surveyslumssocial determinants of healthurban inequalitieswomen’s health

Identifiers

PMID41464451
PMCPMC12732635

What OpenQuestion 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 OpenQuestion graph.