Evidence map›Paper›PMID 38825374›Full record

ArticleSocial science & medicine (1982)2024

Structural heteropatriarchy and maternal cardiovascular morbidities.

Bethany G Everett, Morgan M Philbin, Patricia Homan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Social science & medicine (1982), 2024. 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. Article
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

3 authors.

Bethany G EverettDepartment of Sociology, University of Utah, United States. Electronic address: Bethany.Everett@Soc.Utah.Edu.
Morgan M PhilbinDivision of Vulnerable Populations, Department of Medicine, University of California at San Francisco, United States.
Patricia HomanDepartment of Sociology, Florida State University, United States.

Funding

State-level opioid policies and policies that regulate substance use duringpregnancy: a mixed methods exploration of their effects on maternal and infantoutcomesR01DA053745 · NIDA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Silvia Saboia Martins, Morgan Mari Philbin · 2022 to 2026
$3.8M
The University of Colorado Population CenterR24HD066613 · NICHD · UNIVERSITY OF COLORADO · PI PAMPEL, FRED C · 2010 to 2014
$1.9M
Role of Stress in Shaping Maternal, Infant, and Child OutcomesR01HD091405 · NICHD · UNIVERSITY OF UTAH · PI EVERETT, BETHANY · 2018 to 2020
$959k
NICHD NIH HHS R01 HD091405NICHD NIH HHS R24 HD066613NIDA NIH HHS R01 DA053745
6 · The paper itself

Abstract

The United States has some of the poorest maternal health outcomes of any developed nation. Existing research on maternal cardiovascular morbidities has focused predominantly on individual- and clinic-level drivers, but we know little about community- and structural-level factors that shape these outcomes. We use a composite measure of "structural heteropatriarchy" which includes measures of structural sexism and structural LGB-stigma to examine the relationship between structural heteropatriarchy and three cardiovascular-related maternal morbidities using the National Longitudinal Study of Adolescent to Adult Health (n = 3928). Results using multivariate regressions show that structural heteropatriarchy is associated with increased risk of reporting maternal morbidities. Our findings provide further evidence that sexuality- and gender-based stigma operate together to shape health disparities, including maternal health.

Indexed as

Cardiovascular DiseasesAdolescentAdultFemaleHealth Status DisparitiesHumansLongitudinal StudiesSexual and Gender MinoritiesSocial StigmaUnited StatesYoung AdultCardiovascular diseaseMaternal healthStructural stigmaWomen's health

Identifiers

PMID38825374
PMCPMC11149902

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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.