Evidence map›Paper›PMID 37662872›Full record

ArticlePreventive medicine reports2023

U.S. States' COVID-19 physical distancing policies and working-age adult mental health outcomes.

Shannon M Monnat, David C Wheeler, Emily Wiemers, Yue Sun, Xinxin Sun, Douglas A Wolf, Jennifer Karas Montez

Abstract read
In one paragraph

Article in Preventive medicine reports, 2023. 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.

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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

7 authors.

Shannon M MonnatDepartment of Sociology, Syracuse University, Syracuse, NY, USA.
David C WheelerDepartment of Biostatistics, Virginia Commonwealth University, Richmond, VA, USA.
Emily WiemersDepartment of Public Administration and International Affairs, Syracuse University, Syracuse, NY, USA.
Yue SunDepartment of Sociology, Syracuse University, Syracuse, NY, USA.
Xinxin SunDepartment of Biostatistics, Virginia Commonwealth University, Richmond, VA, USA.
Douglas A WolfLerner Center for Public Health Promotion and Population Health, Syracuse University, Syracuse, NY, USA.
Jennifer Karas MontezDepartment of Sociology, Syracuse University, Syracuse, NY, USA.

Funding

Network on Life Course Health Dynamics and Disparities in 21st Century America RenewalR24AG045061 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JENNIFER A AILSHIRE, Sarah A. Burgard · 2014 to 2026
$5.2M
Center for Aging and Policy Studies (CAPS) Core D: External Research Resources Support and Dissemination CoreP30AG066583 · NIA · SYRACUSE UNIVERSITY · PI MONTEZ, JENNIFER KARAS · 2020 to 2024
$2.1M
States' COVID-19 Mitigation Policies and Psychological Health, Drug Overdose, and Suicide among U.S. AdultsU01DA055972 · NIDA · SYRACUSE UNIVERSITY · PI MONNAT, SHANNON M · 2021 to 2025
$2.0M
NIA NIH HHS P30 AG066583NIA NIH HHS R24 AG045061NIDA NIH HHS U01 DA055972
6 · The paper itself

Abstract

In the early months of the COVID-19 pandemic, states enacted multiple policies to reduce in-person interactions. Scholars have speculated that these policies may have contributed to adverse mental health outcomes. This study examines potential associations between states' COVID-19 physical distancing policies and working-age (18-64) adults' self-reported mental health. Mental health outcomes (depression, anxiety, worsened mental health, and sought treatment for anxiety or depression) are from the National Wellbeing Survey collected from working-age adults in the United States (U.S.) February 1 to March 18, 2021 (N = 3,804). Data on 12 state policies are from the COVID-19 U.S. State Policy Database. Analyses included logistic regression and Bayesian group index modeling, which identified sets, or "bundles," of policies that were associated with each mental health outcome. Multiple policies (both separately and in bundles) were associated with adverse mental health outcomes, with certain policies (closures and curfews on retail and other businesses) being particularly important. A one-month increase in exposure to respective model-derived physical distancing policy bundles was associated with a 36% increase in the odds of reporting that COVID-19 worsened one's mental health (odds ratio [OR] = 1·36; 95% credible interval [CRI] = 1·01 to 1·80), a 6% increase in the odds of meeting the clinical threshold for anxiety (OR = 1·06; CRI = 0·99 to 1·16), and a 15% increase in the odds of seeking treatment for anxiety or depression (OR = 1·15; CRI = 1·02 to 1·49). To accurately understand the role of states' COVID-19 policies on mental health during the pandemic, researchers must consider how collections of policies might influence outcomes.

Indexed as

COVID-19Mental healthState policiesStay-at-home ordersWorking-age adults

Identifiers

PMID37662872
PMCPMC10468353

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.