Evidence map›Paper›PMID 39918879›Full record

ArticleAmerican journal of epidemiology2026

Effects of US state paid family leave policies on perinatal and postpartum health: a quasi-experimental analysis.

Whitney M Wells, Justin S White, Daniel F Collin, Guangyi Wang, Sepideh Modrek, Rita Hamad

Abstract read
In one paragraph

Article in American journal of epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

6 authors.

Whitney M WellsDepartment of Epidemiology and Biostatistics, University of California, San Francisco, CA 94158, United States.ORCID 0000-0002-5142-9849
Justin S WhiteDepartment of Epidemiology and Biostatistics, University of California, San Francisco, CA 94158, United States.ORCID 0000-0002-3388-9569
Daniel F CollinDepartment of Social & Behavioral Sciences, Harvard School of Public Health, Boston, MA 02115, United States.ORCID 0000-0002-0243-9274
Guangyi WangDepartment of Social & Behavioral Sciences, Harvard School of Public Health, Boston, MA 02115, United States.ORCID 0000-0003-2770-0149
Sepideh ModrekHealth Equity Institute, San Francisco State University, San Francisco, CA 94132, United States.ORCID 0000-0003-4557-7156
Rita HamadDepartment of Social & Behavioral Sciences, Harvard School of Public Health, Boston, MA 02115, United States.ORCID 0000-0003-0730-4077

Funding

Translational Epidemiology - Training for Research on Aging and Chronic diseaseT32AG049663 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Elizabeth Rose Mayeda, Mark J Pletcher · 2016 to 2026
$5.8M
National Institute on Aging of the National Institutes of Health T32AG049663NIA NIH HHS T32 AG049663
6 · The paper itself

Abstract

The United States is the only high-income country without a national paid family leave (PFL) policy, although several states have implemented policies recently. This study evaluated whether PFL policies in 6 states improved maternal and infant health. We used difference-in-differences, a quasi-experimental approach, to estimate the impact of state-level policy implementation. We leveraged recently developed methods designed to account for staggered policy implementation and treatment effect heterogeneity. Data were drawn from the 2004-2021 waves of the Pregnancy Risk Assessment Monitoring System. Primary outcomes included breastfeeding, maternal postpartum depressive symptoms, and attendance at a postpartum checkup; secondary outcomes included birth outcomes. Multivariable regressions were adjusted for possible confounders. PFL policies led to increased breastfeeding duration (0.53 weeks; 95% CI, 0.06-0.99) and decreased depressive symptoms (-0.93 percentage points; 95% CI, -1.84 to -0.01). Policies were also associated with worsening of some birth outcomes, possibly reflecting selection in utero, data limitations, or true negative effects. Estimates were largely robust to alternative specifications, with subgroup differences by race/ethnicity and income. This study adds important evidence on the health effects of state-level PFL policies at a critical point when many states are considering or enacting policies and during ongoing conversations about national PFL policy implementation. This article is part of a Special Collection on Methods in Social Epidemiology.

Indexed as

Family LeaveInfant HealthMaternal HealthParental LeaveAdultBreast FeedingDepression, PostpartumFemaleHumansInfant, NewbornPostpartum PeriodPregnancyUnited StatesYoung Adultbreastfeedingdifference-in-differences analysispaid family leaveperinatal healthpolicy evaluationPregnancy Risk Assessment Monitoring System

Identifiers

PMID39918879
PMCPMC12969771

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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.