Evidence map›Paper›PMID 41492264›Full record

ArticleAmerican journal of preventive cardiology2026

Social determinants of health, life's essential 8 metrics, and cardiovascular morbidity and mortality: a nationwide cohort study.

Yunan Xu, Xiangjun Zhang, Yan Xue, Wan Shen, Xuebing Leng, Quanhong Chen, Xiannen Pan, Feng Huang, Hao Chen

Abstract read
In one paragraph

Article in American journal of preventive cardiology, 2026. 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

9 authors.

Yunan XuDepartment of Medical Research, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, China.
Xiangjun ZhangCenter for Community Research and Evaluation, Department of Sociology, The University of Memphis, Memphis, TN 38152, USA.
Yan XueGuangxi Clinical Research Center for Cardio-Cerebrovascular Diseases, Nanning, Guangxi 530021, China.
Wan ShenFood and Nutrition Program, Department of Public and Allied Health, Bowling Green State University, Bowling Green, OH 43403, USA.
Xuebing LengDepartment of Microbiology and Immunology, Miller School of Medicine, University of Miami, Miami, FL 33136, USA.
Quanhong ChenDepartment of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi 530021, China.
Xiannen PanNursing College, Guangxi Medical University, Nanning, Guangxi 530021, China.
Feng HuangDepartment of Medical Research, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, China.
Hao ChenDepartment of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi 530021, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Life's Essential 8 (LE8) provides a framework to assess and improve cardiovascular health, ultimately reducing cardiovascular disease (CVD) risk. However, the role of LE8 metrics in addressing CVD disparities associated with social determinants of health (SDoH) remains unclear. Methods: This cohort study employed the National Health and Nutrition Examination Survey (2005-2018) data. Logistic regression models, Cox proportional hazard models, and multiple mediation analysis were used to assess the associations of the SDoH score with CVD morbidity (self-reported diagnosis of congestive heart failure, coronary heart disease, angina pectoris, myocardial infarction, and stroke), CVD mortality, and mortality (mortality data were derived from the NHANES Public-Use Linked Mortality File), as well as the contributions of LE8 metrics to the associations. Results: The top four reported unfavorable SDoH were low education level (21.5%), income-to-poverty ratio <3 (17.5%), no private health insurance (13.0%), and unemployment (11.5%). Unfavorable SDoH exposure was associated with higher CVD morbidity [odds ratio (OR) and 95% confidence interval (CI): 2.36 (2.18, 2.55) and CVD mortality [hazard ratio (HR) and 95%CI: 2.70 (2.24, 3.24)]. LE8 metrics accounted for approximately 30.4% (95%CI: 26.2%, 34.7%), 23.0% (95%CI: 19.3%, 28.3%), and 24.0% (95%CI: 20.6%, 28.8%) of the association between SDoH and CVD morbidity, CVD mortality, and all-cause mortality, respectively, with nicotine exposure, physical activity, and sleep health being the main LE8 contributors. Differences in the distribution of SDoH components, as well as the contribution of LE8 to the association between SDoH and CVD risk were observed across race/ethnicity groups. Conclusions: Our findings highlight the effectiveness for public health interventions targeting SDoH to improve LE8 metrics and ultimately reducing CVD morbidity and mortality. Future research should also explore the impact of non-LE8 factors and racial/ethnic differences in developing comprehensive CVD prevention strategies among U.S. adults.

Indexed as

Cardiovascular diseaseLife’s essential 8MortalityRace/ethnicitySocial determinants of health

Identifiers

PMID41492264
PMCPMC12765056

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.