Evidence map›Paper›PMID 40837275›Full record

ArticleSociety and mental health2024

State-Level Paid Sick Leave Policies and Population Mental Health during the COVID-19 Pandemic in the United States.

Rachel Donnelly, Whitney Frierson, Zhe Zhang, Courtney E Boen

Abstract read
In one paragraph

Article in Society and mental health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
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

4 authors.

Rachel DonnellyVanderbilt University, Nashville, TN, USA.ORCID 0000-0003-1374-0131
Whitney FriersonVanderbilt University, Nashville, TN, USA.
Zhe ZhangVanderbilt University, Nashville, TN, USA.ORCID 0000-0002-9729-4687
Courtney E BoenBrown University, Providence, RI, USA.

Funding

Science/Technical CoreP2CHD041020 · NICHD · BROWN UNIVERSITY · PI ZHENCHAO QIAN · 2016 to 2026
$7.6M
Spatial Analysis CoreR24HD041020 · NICHD · BROWN UNIVERSITY · PI LOGAN, JOHN R · 2001 to 2016
$7.4M
Inequalities in Mental Health During the COVID-19 Pandemic: The Interplay of Individual Pandemic Stressors and State Sociopolitical ContextsR03MH128649 · NIMH · VANDERBILT UNIVERSITY · PI DONNELLY, RACHEL · 2022 to 2023
$174k
NICHD NIH HHS P2C HD041020NICHD NIH HHS R24 HD041020NIMH NIH HHS R03 MH128649
6 · The paper itself

Abstract

Financial hardship was pervasive during the COVID-19 pandemic, with adverse consequences for mental health. However, access to state-level paid sick leave during the pandemic had the potential to reduce the mental health burden of financial hardship-a possibility that has not been tested in prior research. Using nationally representative survey data on more than 1.7 million individuals from the Household Pulse Survey (August 2020 to November 2022) merged with state-level data on paid sick leave policies, we estimated a battery of two-way fixed-effects linear probability models to examine whether paid leave policies buffered the association between financial hardship and depression and anxiety risks. Results show that experiencing financial hardship increased depression and anxiety risks but that the mental health consequences of financial hardship were dampened for respondents living in a state with an active paid sick leave policy. Moreover, because racially minoritized adults, women, transgender adults, and less-educated adults were more likely to experience financial hardship over the period, our study highlights the potential for paid leave policies to reduce population inequities in mental health. We point to paid sick leave policies as an important macro-level determinant of mental health with especially salient mental health consequences for marginalized groups.

Indexed as

financial hardshipMental healthpaid leavestate policy

Identifiers

PMID40837275
PMCPMC12360710

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.