Evidence map›Paper›PMID 41886418›Full record

ArticlePloS one2026

Individual and cumulative effects of social determinants of health on cardiovascular disease: Gender-specific insights from a cross-sectional NHANES study.

Xiuming Yang, Jiahui Zhou, Feier Wu, Zehu Xue, Zongliang Yu

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Review
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

5 authors.

Xiuming YangDepartment of Cardiology, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, Jiangsu, China.ORCID https://orcid.org/0009-0000-0213-8888
Jiahui ZhouDepartment of Cardiology, Gusu School, Nanjing Medical University, The First People's Hospital of Kunshan, Kunshan, Jiangsu, China.
Feier WuDepartment of Cardiology, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, Jiangsu, China.ORCID https://orcid.org/0009-0004-7284-5456
Zehu XueDepartment of Nephrology, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, China.
Zongliang YuDepartment of Cardiology, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to examine the associations of individual and cumulative social determinants of health (SDoH) with cardiovascular disease (CVD) prevalence and sex-specific disparities among U.S. adults.

methodsEmploying a cross-sectional design, we analyzed data from the nationally representative National Health and Nutrition Examination Survey (NHANES, 2005-2018). Five core SDoH domains were operationalized through eight validated sub-indicators. Associations between individual and cumulative SDoH and CVD prevalence were assessed using survey-weighted multivariate logistic regression, with sex-stratified analyses.

resultsIn this cross-sectional sample of 35,781 participants, adverse individual SDoH and higher cumulative adverse SDoH were associated with higher odds of prevalent CVD. In the fully adjusted model (Model 2), unemployment showed a large association with prevalent CVD (AOR = 2.27, 95% CI: 2.01-2.57). In sex-stratified analyses, point estimates for some SDoH indicators were higher in women than in men, but 95% confidence intervals overlapped for many comparisons and sex-by-SDoH interaction tests were not statistically significant (all P for interaction > 0.05). Among individual SDoH indicators, unemployment and low income (PIR < 300%), as well as food insecurity, showed the strongest independent associations with prevalent CVD.

conclusionBoth individual and cumulative SDoH were independently associated with prevalent CVD. Sex-stratified analyses suggested that some point estimates were larger in women than in men, but sex-by-SDoH interaction tests were not statistically significant.

Indexed as

Cardiovascular DiseasesSocial Determinants of HealthSocioeconomic Disparities in HealthAdultAgedAged, 80 and overCross-Sectional StudiesFemaleFood InsecurityHumansMaleMiddle AgedNutrition SurveysPovertyPrevalenceSex Factors

Identifiers

PMID41886418
PMCPMC13020850

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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.