Evidence map›Paper›PMID 37737880›Full record

ArticleArchives of women's mental health2025

One size doesn't fit all: Attitudes towards work modify the relation between parental leave length and postpartum depression.

Christine Y Chang, Sabrina R Liu, Laura M Glynn

Abstract read
In one paragraph

Article in Archives of women's mental health, 2025. 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.

Christine Y ChangDepartment of Psychology, Chapman University, Orange, CA, USA. chrischang@chapman.edu.
Sabrina R LiuDepartment of Human Development, California State University, San Marcos, San Marcos, CA, USA.
Laura M GlynnDepartment of Psychology, Chapman University, Orange, CA, USA.

Funding

Structural & Network-Function Correlates of Fragmented Early-Life Across SpeciesP50MH096889 · NIMH · UNIVERSITY OF CALIFORNIA-IRVINE · PI SANDMAN, CURT ALAN · 2013 to 2023
$25.4M
NIMH NIH HHS MH096889NIMH NIH HHS P50 MH096889
6 · The paper itself

Abstract

The present study aimed to investigate the relationship between parental leave length and maternal depressive symptoms at six- and twelve-months postpartum and whether this relation was influenced by women's attitudes towards leave, whether leave was paid or unpaid, and the reason they returned to work. The sample included 115 working women recruited during pregnancy as part of a larger longitudinal study. Analyses revealed that maternal attitudes toward leave influenced the association between leave length and depressive symptoms. Specifically, longer leaves were associated with increased depressive symptoms for women who missed their previous activities at work. Furthermore, women who missed work and had leave for 16 weeks or more, exhibited higher depressive symptoms at six- and twelve-months. Last, results also indicated that women who returned to work solely for monetary reasons exhibited more depressive symptoms at six-months postpartum than those who returned to work for other reasons. This study is among the first to show that women's attitudes towards parental leave and their individual reasons for returning to work are important factors to consider that may have potential implications for parental leave policies.

Indexed as

Depression, PostpartumEmploymentMothersParental LeaveReturn to WorkWomen, WorkingAdultFemaleHumansLongitudinal StudiesPostpartum PeriodPregnancySurveys and QuestionnairesTime FactorsYoung AdultEmployment statusMaternal healthParental leavePostpartum depressionPregnancy

Identifiers

PMID37737880
PMCPMC12283866

What OpenQuestion holds

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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.