Evidence map›Paper›PMID 42005639›Full record

ArticleHealth science reports2026

Midwest Racial and Mental Health Disparities in Pregnancy Outcomes Throughout the COVID-19 Pandemic: A Retrospective Study.

Anna M Strahm, Hilla I Sang, Alyssa N Schumacher

Abstract read
In one paragraph

Article in Health science reports, 2026. 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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0cells of the map it votes in
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

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

3 authors.

Anna M StrahmBehavioral Sciences, Sanford Research Sioux Falls South Dakota USA.ORCID https://orcid.org/0000-0002-0112-0288
Hilla I SangResearch Design and Biostatistics Core, Sanford Research Sioux Falls South Dakota USA.
Alyssa N SchumacherSanford Research Sioux Falls South Dakota USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Throughout the COVID-19 pandemic, marginalized racial/ethnic groups were at higher risk of worsening mental health and potentially associated adverse pregnancy outcomes. Prior to COVID-19, pregnant individuals of marginalized backgrounds were more likely to have smaller neonates for gestational age. Furthermore, psychosocial stress and depressive symptoms during pregnancy are positively associated with adverse birth outcomes. The additional stress during the COVID-19 pandemic for women of marginalized backgrounds, including those with depression diagnoses, may have further exacerbated adverse pregnancy outcomes. We aim to describe birthweight and preterm birth outcomes throughout the psychosocial impact period of the COVID-19 pandemic among pregnant Black, Indigenous American, and White women with and without depressive disorders. Methods: We used Kruskal-Wallis and linear regression to analyze the medical records of 9506 pregnancies whose delivery occurred between 2011 and 2022 in the upper Midwest COVID-19 epochs were defined by pregnancies during periods "Before" (April 2011-February 25, 2020), "Transitional" (February 25-December 15, 2020) and "After" (December 15, 2020-September 2022). Results: The gestational length was shorter for both Black pregnancies ( Conclusion: Our findings, similar to prior research, suggest a further need for interventions to improve pregnancy outcomes among Black and IA pregnancies and for pregnant individuals with depression. Further research identifying additional pathways (e.g., socioeconomic status) may clarify how COVID-19 impacted pregnancy-related health disparities and potential methods to ameliorate them.

Indexed as

COVID‐19depressiongestational lengthlow birthweightpregnancyrace

Identifiers

PMID42005639
PMCPMC13087615

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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.