Evidence map›Paper›PMID 39897737›Full record

ArticlePreventive medicine reports2025

Association between social determinants of health and premature atherosclerotic cardiovascular disease and sex differences in US adults: A cross-sectional study.

Chun Yang, Na Zhang, Tiankuo Gao, Yingxin Zhu, Chen Gong, Mingyue Xu, Cuicui Feng

Abstract read
In one paragraph

Article in Preventive medicine reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

7 authors.

Chun YangBeijing Anzhen hospital, Capital Medical University, Beijing 100029, China.
Na ZhangBeijing Friendship Hospital, Capital Medical University, Beijing 100053, China.
Tiankuo GaoBeijing Anzhen hospital, Capital Medical University, Beijing 100029, China.
Yingxin ZhuBeijing Anzhen hospital, Capital Medical University, Beijing 100029, China.
Chen GongBeijing Anzhen hospital, Capital Medical University, Beijing 100029, China.
Mingyue XuBeijing Friendship Hospital, Capital Medical University, Beijing 100053, China.
Cuicui FengBeijing Anzhen hospital, Capital Medical University, Beijing 100029, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Premature atherosclerotic cardiovascular disease (ASCVD) is a major public health issue, leading to productivity losses and higher healthcare costs. This study examines the association between social determinants of health (SDoH) and premature ASCVD, with a focus on sex differences. Method: Data on self-reported SDoH based on Healthy People 2030 criteria were obtained from U.S. National Health and Nutrition Examination Surveys (2003-2018). Weighted logistic regression models were used to examine the relationship between SDoH (including eight sub-items and the cumulative number of unfavorable SDoH) and premature ASCVD. Analyses were further stratified by sex. Result: A total of 40,536 participants aged ≥18 years (19,548 men and 20,888 women) were included in the analysis. The overall prevalence of premature ASCVD was 1756 cases, with a weighted estimate of 7,625,240. Although women had a lower prevalence of premature ASCVD (3.2 % [ Conclusion: This study demonstrates that unfavorable SDoH significantly increase the risk of developing premature ASCVD. Furthermore, the cumulative effect of unfavorable SDoH pose a higher risk for women.

Indexed as

Atherosclerotic cardiovascular diseaseNational Health and nutrition examination surveysPrematureSex differencesSocial determinants of health

Identifiers

PMID39897737
PMCPMC11786895

What OpenQuestion holds

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Registered trials

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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.