Predictors of student mask mandate policies in United States school districts during the COVID-19 pandemic.


Journal

Frontiers in public health
ISSN: 2296-2565
Titre abrégé: Front Public Health
Pays: Switzerland
ID NLM: 101616579

Informations de publication

Date de publication:
2023
Historique:
received: 09 05 2023
accepted: 13 07 2023
medline: 17 8 2023
pubmed: 16 8 2023
entrez: 16 8 2023
Statut: epublish

Résumé

Although factors such as urbanicity, population demographics, and political affiliation have been linked with COVID-19 masking behavior and policy in community settings, little work has investigated factors associated with school mask policies. We sought to characterize United States state and school district student COVID-19 masking policies during the 2021-22 school year and determine predictors of these mandates at four time points, including before and after federal guidance relaxed school mask recommendations in February 2022. Student mask policies for US states and the District of Columbia, as well as a sample of 56 districts were categorized as prohibited, recommended, or required in September 2021, November 2021, January 2022, and March 2022 based on the Johns Hopkins eSchool+ Initiative School Reopening Tracker. Changes in policies over time were characterized. Generalized estimating equations and logistic regression were used to evaluate whether political affiliation of governor, urbanicity, economic disadvantage, and race/ethnic composition of district students, and county-level COVID-19 incidence predicted the presence of a district mask mandate at any time point and at all four time points. State and district policies changed over time. Districts that implemented student mandates at any point were more likely to be in states with Democratic governors (AOR: 5.52; 95% CI: 2.23, 13.64) or in non-rural areas (AOR: 8.20; 95% CI: 2.63, 25.51). Districts that retained mask mandates at all four time points were more likely to have Democratic governors (AOR: 5.39; 95% CI: 2.69, 10.82) and serve a smaller proportion of economically disadvantaged students (AOR: 0.97; 95% CI: 0.95, 0.99). Districts serving a larger proportion of students from minoritized racial/ethnic groups were more likely to have mask mandates at any or all timepoints. Notably, county-level COVID-19 prevalence was not related to the presence of a mask mandate at any or all time points. By March 2022, no factors were significantly associated with district mask policy. Political, geographic, and demographic characteristics predicted the likelihood of student mask mandates in the 2021-22 school year. Public health promotion messages and policy must account for variation in these factors, potentially through centralized and consistent messaging and unbiased, trustworthy communication.

Identifiants

pubmed: 37583885
doi: 10.3389/fpubh.2023.1217638
pmc: PMC10423804
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1217638

Informations de copyright

Copyright © 2023 Klein, Johnson, Anderson, Beharry, Faden, Guo, Kallem, Nicklin, Regenberg, Tariq and Collins.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Références

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Auteurs

Lauren M Klein (LM)

Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, United States.

Sara B Johnson (SB)

Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Department of Population, Family, and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, United States.
Department of Mental Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, United States.

Annette C Anderson (AC)

Johns Hopkins University School of Education, Baltimore, MD, United States.

Kelly Beharry (K)

University of Michigan Medical School, Ann Arbor, MI, United States.
Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, United States.

Ruth Faden (R)

Johns Hopkins Berman Institute of Bioethics, Baltimore, MD, United States.
Department of Health Policy and Management, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, United States.

Xinxing Guo (X)

Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, United States.

Medha Kallem (M)

Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, United States.

Andrew Nicklin (A)

Bloomberg Center for Government Excellence, Baltimore, MD, United States.

Alan Regenberg (A)

Johns Hopkins Berman Institute of Bioethics, Baltimore, MD, United States.

Azka Tariq (A)

Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, United States.

Megan E Collins (ME)

Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Johns Hopkins University School of Education, Baltimore, MD, United States.
Johns Hopkins Berman Institute of Bioethics, Baltimore, MD, United States.
Department of Health Policy and Management, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, United States.
Department of Ophthalmology, Johns Hopkins University School of Medicine, Baltimore, MD, United States.

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