Evidence map›Paper›PMID 41185572›Full record

ArticleDisaster medicine and public health preparedness2025

Social Vulnerability and Perinatal Risk: Demographic Determinants of the Impact of a Natural Disaster on Pregnant Women.

Cynthia D Shope, Amy E Lucas, Stephen M Cherry, Kjersti M Aagaard, Melissa A Suter

Abstract read
In one paragraph

Article in Disaster medicine and public health preparedness, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

5 authors.

Cynthia D ShopeDepartment of Obstetrics & Gynecology, https://ror.org/02pttbw34Baylor College of Medicine, Houston, TX, USA.
Amy E LucasCommunication and Social-Cultural Sciences, https://ror.org/01t817z14University of Houston Clear Lake, Houston, TX, USA.
Stephen M CherryCommunication and Social-Cultural Sciences, https://ror.org/01t817z14University of Houston Clear Lake, Houston, TX, USA.
Kjersti M AagaardDepartment of Obstetrics & Gynecology, https://ror.org/02pttbw34Baylor College of Medicine, Houston, TX, USA.
Melissa A SuterDepartment of Obstetrics & Gynecology, https://ror.org/02pttbw34Baylor College of Medicine, Houston, TX, USA.

Funding

Longitudinal Neural Imaging and Functional Resilience After Hurricane HarveyR21ES029462 · NIEHS · BAYLOR COLLEGE OF MEDICINE · PI AAGAARD, KJERSTI MARIE · 2018 to 2020
$1.2M
NIEHS NIH HHS R21 ES029462
6 · The paper itself

Abstract

objectiveDespite growing research on disaster-related health impacts, pregnant individuals remain understudied. This study explores the sociodemographic characteristics of pregnant women affected by Hurricane Harvey.

methodsA cross-sectional analysis of 4,951 pregnant individuals (511 directly impacted) was conducted to identify predictors of disrupted healthcare, financial loss, and mental health outcomes.

resultsSocial and structural vulnerabilities significantly influenced disaster impact. Pregnant individuals who were foreign-born racial/ethnic minorities (16.7% non-Latinx Black, 10.2% Latinx vs. 8.3% non-Latinx White), low-income (13.0% vs. 8.0%), less educated (12.5% vs. 7.6%), reliant on public healthcare (81% vs. 33.5%), or with limited maternity care access (11.4% vs. 54.8%) were disproportionately affected (all p < 0.001). Conversely, post-disaster anxiety was more common among U.S.-born (14.8% vs. 8.0%), college-educated (19.0% vs. 9.8%), and higher-income individuals (21.2% vs. 7.9%) (all p < 0.01).

conclusionsDisadvantaged pregnant populations face greater disruption during disasters, while those with fewer vulnerabilities may experience more prolonged anxiety.

Indexed as

DemographyNatural DisastersPregnant PeopleSocial VulnerabilityAdolescentAdultCross-Sectional StudiesCyclonic StormsFemaleHumansPregnancyVulnerable Populationsaccess to health carenatural disasterobstetricspregnancysocial determinants of health

Identifiers

PMID41185572
PMCPMC12658976

What OpenQuestion holds

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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.