Evidence map›Paper›PMID 39603548›Full record

ArticleCurrent problems in cardiology2025

Association between polysocial risk score and CVH among women of reproductive age in the SAFE HEART study: An American Heart Association Research Goes Red Initiative.

Faith E Metlock, Yaa Adoma Kwapong, Dhananjay Vaidya, Ketum Ateh Stanislas, Zulqarnain Javed, Pamela S Douglas, Khurram Nasir, Crystal Evans, Roxanne Mirabal-Beltran, Asma Rayani and 3 more

Abstract readMulticenter Study
In one paragraph

Article in Current problems in cardiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

13 authors.

Faith E MetlockJohns Hopkins School of Nursing, Baltimore, MD, USA. Electronic address: fmetloc1@jhu.edu.
Yaa Adoma KwapongJohns Hopkins School of Medicine, Baltimore, MD, USA.
Dhananjay VaidyaJohns Hopkins School of Medicine, Baltimore, MD, USA.
Ketum Ateh StanislasJohns Hopkins School of Nursing, Baltimore, MD, USA; Johns Hopkins School of Medicine, Baltimore, MD, USA. Electronic address: katehst1@jh.edu.
Zulqarnain JavedWeill Cornell Medicine, New York, NY; DeBakey Heart & Vascular Center, TX Houston Methodist Hospital, Houston, TX.
Pamela S DouglasDuke Clinical Research Institute, Duke School of Medicine, Durham, NC.
Khurram NasirDeBakey Heart & Vascular Center, TX Houston Methodist Hospital, Houston, TX.
Crystal EvansInstitute of Clinical and Translational Research, Johns Hopkins University School of Medicine.
Roxanne Mirabal-BeltranGeorgetown University School of Nursing, Washington, DC, USA.
Asma RayaniJohns Hopkins School of Nursing, Baltimore, MD, USA. Electronic address: arayani1@jhmi.edu.
Pamela OuyangInstitute of Clinical and Translational Research, Johns Hopkins University School of Medicine.
Yvonne Commodore-MensahJohns Hopkins School of Nursing, Baltimore, MD, USA; Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Garima SharmaInova Heart and Vascular Institute, Inova Fairfax Medical Campus, Fairfax, VA, USA. Electronic address: garima.sharma@inova.org.

Funding

Strength-Based Health Equity Across the Life CourseT32NR020315 · NINR · JOHNS HOPKINS UNIVERSITY · PI HAE-RA HAN · 2022 to 2026
$1.8M
NINR NIH HHS T32 NR020315
6 · The paper itself

Abstract

backgroundTo assess the association between polysocial risk factors and cardiovascular health (CVH) among women of reproductive age.

methodsOur cross-sectional analysis included women of reproductive age (18-44 years) from community settings and the American Heart Association's Research Goes Red (RGR) registry. Polysocial risk scores (0-14) reflected social disadvantage across domains including socioeconomic stability (education, employment, income, insurance, financial strain), living situation (housing stability, housing quality, marital status, home ownership), food security, transportation, utilities, and interpersonal safety. Suboptimal CVH was defined as having ≥2 risk factors from Life's Essential 8 metrics: physical activity, diet, body mass index, sleep, smoking, blood pressure, blood sugar, and cholesterol. Associations between polysocial risk and suboptimal CVH were analyzed using linear regression models

resultsSuboptimal CVH increased with higher polysocial risk, from 77.0 % in the lowest quartile to 95.2 % in the highest. Participants in quartile 3 had the highest odds of suboptimal CVH (aOR 9.52, 95 % CI 2.63-34.46), while quartile 4 showed decreased but significant odds (aOR 3.86, 95 % CI 1.03-14.40) compared to quartile 1. Hypertension (aOR 10.23, 95 % CI 3.61-29.01), diabetes (aOR 8.87, 95 % CI 3.12-25.24), hyperlipidemia (aOR 7.48, 95 % CI 2.72-20.55), and smoking (aOR 9.46, 95 % CI 3.25-27.56) were strongly associated with higher polysocial risk in community-enrolled participants, whereas trends were less consistent in RGR-enrolled participants.

conclusionsWomen with higher social risks face greater odds of suboptimal CVH. Screening for social determinants and tailored public health interventions are essential for mitigating CVH risks in this population.

Indexed as

Cardiovascular DiseasesHeart Disease Risk FactorsAdolescentAdultAmerican Heart AssociationCross-Sectional StudiesFemaleHumansRisk AssessmentRisk FactorsSocioeconomic FactorsUnited StatesYoung AdultCardiovascular healthHealth equityHypertensionResearch goes redSocial determinants of healthWomen of reproductive age

Identifiers

PMID39603548
PMCPMC12118554

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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.