Evidence map›Paper›PMID 40742392›Full record

ArticleFamily & community health

Maternity Leave, Race, and Postpartum Depression: The Impact of Public Policy on Mothers Living in Poverty.

Katherine M Schafer, Allison M Daurio, Thomas E Joiner

Abstract read
In one paragraph

Article in Family & community health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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.

Katherine M SchaferDepartment of Biomedical Informatics, Vanderbilt University Medical Center (Dr Schafer); Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center (Dr Schafer); and Department of Psychology, Florida State University (Drs Daurio and Joiner).ORCID 0000-0002-3744-1518
Allison M Daurio
Thomas E Joiner

Funding

Household Income and Child Development in the First Years of LifeR01HD087384 · NICHD · UNIVERSITY OF CALIFORNIA-IRVINE · PI Greg John Duncan, LISA A GENNETIAN · 2017 to 2026
$14.1M
AHRQ HHS P30 HS029767NICHD NIH HHS R01 HD087384
6 · The paper itself

Abstract

backgroundSome maternity leave practices are associated with postpartum depressive (PPD) symptoms which in turn are linked with increased risk of poor maternal and infant outcomes. Mothers of color disproportionately experience poor maternity leave policies and elevated PPD symptoms.

methodsThis cross-sectional study employed data collected at baseline of the Baby's First Year study. Participants were 153 American mothers living below the poverty line. They were interviewed (2018-2019) in the days following birth regarding their race, maternity leave, and PPD symptoms.

resultsFindings indicated that alone race and maternity leave practices were not associated with PPD symptoms. However, the interaction between the two accounted for significant variability in PPD symptoms. Black/African American mothers who reported that they used unpaid maternity leave (n=41, M=8.146, SD=0.708) and mothers in the "Other" race category who reported not taking maternity leave (n=7, M=8.857, SD=1.715) had higher than expected rates of PPD.

conclusionThese findings show that on the whole, poor maternity leave practices have a disproportionate impact on mothers of color. When women of color are exposed to either no maternity leave or unpaid maternity leave, they are at elevated risk of developing PPD.

Indexed as

Depression, PostpartumMothersParental LeavePovertyPublic PolicyRacial GroupsAdultBlack or African AmericanCross-Sectional StudiesFemaleHumansPregnancyUnited StatesWhitematernity leavepostpartum depressive symptomsrace

Identifiers

PMID40742392
PMCPMC12513213

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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.