Evidence map›Paper›PMID 42084873›Full record

ArticleJAMA network open2026

Social Risk Factors and Disparities in Advanced Cardiovascular-Kidney-Metabolic Syndrome.

Obinna Ekwunife, Xuemeng Wang, Raphael A Fraser, Alexander Yunke, Jennifer A Campbell, Rebekah J Walker, Leonard E Egede

Abstract read
In one paragraph

Article in JAMA network open, 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

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

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

7 authors.

Obinna EkwunifeDivision of Population Health, Department of Medicine, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York.
Xuemeng WangDivision of Population Health, Department of Medicine, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York.
Raphael A FraserDivision of Population Health, Department of Medicine, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York.
Alexander YunkeJacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York.
Jennifer A CampbellDivision of Population Health, Department of Medicine, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York.
Rebekah J WalkerDivision of Population Health, Department of Medicine, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York.
Leonard E EgedeDivision of Population Health, Department of Medicine, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York.

Funding

Structural Racism and Disparities in Social Risk, Human Capital, Health Care Resources, and Health Outcomes: A Multi-level Analysis of Pathways and Policy Levers for ChangeR01MD017574 · NIMHD · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI Leonard E. Egede, Sebastian Linde · 2023 to 2026
$2.5M
Impact of structural racism on hospital/clinic closures, community assets, and health outcomes in urban communitiesR01MD018012 · NIMHD · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI Leonard E. Egede, Sebastian Linde · 2023 to 2026
$2.4M
Cardiovascular Risk Reduction for Adults with Food Insecurity Using Structured Incentives (CVD-FIT)R01MD018721 · NIMHD · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI Rebekah J Walker · 2024 to 2026
$2.0M
NIMHD NIH HHS R01 MD017574NIMHD NIH HHS R01 MD018012NIMHD NIH HHS R01 MD018721
6 · The paper itself

Abstract

Importance: Social risk factors contribute to cardiovascular, kidney, and metabolic disease; however, their associations with advanced cardiovascular-kidney-metabolic (CKM) syndrome and variation across demographic subgroups remain unclear. Objective: To examine the association between individual social risk factors and advanced CKM syndrome and to assess whether these associations vary by age group, sex, and race and ethnicity. Design, Setting, and Participants: This is a cross-sectional study of adults aged 30 years or older from the National Health and Nutrition Examination Survey 2005 to 2018 cycles. Data analysis was conducted from July to October 2025. Analyses incorporated survey weights to generate nationally representative estimates. Exposures: Five social risk domains: economic instability, poor neighborhood environment, limited education, limited health care access, and poor social and/or community context. Main Outcomes and Measures: The primary outcome was advanced CKM syndrome (stages 3-4) defined using American Heart Association criteria. Following tests for interactions by age, race and ethnicity, and sex, weighted logistic regression tested associations between social risks and advanced CKM syndrome, stratified by race and ethnicity and sex. Results: Among 28 218 participants (representing 165.8 million US adults; mean [SD] age, 52.6 [14.2] years; 14 402 female participants [52.0%]), 12 614 (44.7%) had advanced CKM syndrome. No significant interactions were found for age. Economic instability was associated with higher odds of advanced CKM syndrome among non-Hispanic Black (odds ratio [OR], 1.27; 95% CI, 1.08-1.50) and non-Hispanic White adults (OR, 1.22; 95% CI, 1.08-1.37). Poor neighborhood environment was significant for non-Hispanic Black adults (OR, 1.20; 95% CI, 1.03-1.38). Limited education was associated with advanced CKM syndrome among non-Hispanic White adults (OR, 1.29; 95% CI, 1.13-1.48). Poor social and/or community context was associated across all groups, with the highest OR among Hispanic adults (OR, 1.72; 95% CI, 1.43-2.08). By sex, social risks were more associated with advanced CKM syndrome in women, with associations for men less prevalent and limited to economic instability, poor neighborhood environment, and poor social and/or community context. Conclusions and Relevance: In this cross-sectional study of US adults, multiple social risks factors were associated with advanced CKM syndrome, with meaningful variation by race and ethnicity and sex. Integrating social risk screening into CKM syndrome prevention and tailoring interventions to high-risk subgroups may help reduce disparities and slow CKM syndrome progression.

Indexed as

Cardiovascular DiseasesHealth Status DisparitiesKidney DiseasesMetabolic SyndromeAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysRisk FactorsSocioeconomic Disparities in HealthSocioeconomic FactorsUnited States

Identifiers

PMID42084873
PMCPMC13147189

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.