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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Jun 15, 2022
Date Accepted: Jan 10, 2023
Date Submitted to PubMed: Feb 3, 2023

The final, peer-reviewed published version of this preprint can be found here:

Evaluating the Impact of Mask Mandates and Political Party Affiliation on Mental Health Internet Search Behavior in the United States During the COVID-19 Pandemic: Generalized Additive Mixed Model Framework

Gyorda JA, Lekkas D, Price GD, Jacobson NC

Evaluating the Impact of Mask Mandates and Political Party Affiliation on Mental Health Internet Search Behavior in the United States During the COVID-19 Pandemic: Generalized Additive Mixed Model Framework

J Med Internet Res 2023;25:e40308

DOI: 10.2196/40308

PMID: 36735836

PMCID: 9994425

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Evaluating the impact of mask mandates and political party on mental health search behavior in the United States during the COVID-19 pandemic: A generalized additive mixed model framework

  • Joseph Andrew Gyorda; 
  • Damien Lekkas; 
  • George D Price; 
  • Nicholas C Jacobson

ABSTRACT

Background:

The impacts of the coronavirus (COVID-19) pandemic on mental health across the world and in the United States have been well documented. However, there is limited research examining the long-term effects of the pandemic on mental health, particularly in relation to pervasive policies such as statewide mask mandates as well as political party affiliation.

Objective:

The goal of the present study was to examine whether statewide mask mandates and political party affiliations yielded differential changes in mental health symptoms across the United States through leveraging state-specific internet search query data.

Methods:

This paper leverages Google search queries from March 24, 2020 through March 29, 2021 in each of the 50 states in the United States. Among these states, 39 implemented statewide mask mandates—with 16 of these states being Republican—to combat the spread of COVID-19. This paper investigates whether mask mandates impact mental health differentially in states with and without mandates by exploring variations in mental health search queries across the United States. Along with this, political party affiliation was examined as a potential covariate to determine whether mask mandates had differential effects in Republican and Democratic states. Generalized additive mixed models (GAMMs) were implemented to model associations between mask mandates, political party, and mental health search volume.

Results:

The results of GAMMs revealed that search volume for “restless” significantly increased following a mask mandate across all states, whereas the search volume for “irritable” and “anxiety” increased and decreased, respectively, following a mandate for Republican states in comparison with Democratic states.

Conclusions:

The present findings suggest that mask mandates were associated nonlinearly with significant changes in anxiety-related search behavior. Policy makers should take into consideration the mental impact of public health-related mandates.


 Citation

Please cite as:

Gyorda JA, Lekkas D, Price GD, Jacobson NC

Evaluating the Impact of Mask Mandates and Political Party Affiliation on Mental Health Internet Search Behavior in the United States During the COVID-19 Pandemic: Generalized Additive Mixed Model Framework

J Med Internet Res 2023;25:e40308

DOI: 10.2196/40308

PMID: 36735836

PMCID: 9994425

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