Factors associated with county-level mental health during the COVID-19 pandemic

被引：4

作者：

Lupton-Smith, Carly ^{[1
]}

Badillo-Goicochea, Elena ^{[2
]}

Chang, Ting-Hsuan ^{[1
]}

Maniates, Hannah ^{[3
]}

Riehm, Kira E. ^{[2
]}

Schmid, Ian ^{[2
]}

Stuart, Elizabeth A. ^{[1
,2
,3
]}

机构：

[1] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Biostat, Baltimore, MD 21205 USA

[2] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Mental Hlth, Baltimore, MD USA

[3] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Hlth Policy & Management, Baltimore, MD USA

来源：

JOURNAL OF COMMUNITY PSYCHOLOGY | 2022年 / 50卷 / 05期

关键词：

anxiety; counties; COVID-19; depression; education; isolation; sociodemographics; DISTRESS; DISORDER;

D O I：

10.1002/jcop.22785

中图分类号：

R1 [预防医学、卫生学];

学科分类号：

1004 ; 120402 ;

摘要：

The objective of this study is to determine county-level factors associated with anxiety, depression, and isolation during the coronavirus disease 2019 (COVID-19) pandemic. This study used daily data from 23,592,355 respondents of a nationwide Facebook-based survey from April 2020 to July 2021, aggregated to the week-county level to yield 212,581 observations. Mental distress prevalences were modeled using weighted linear mixed-effects models with a county random effect. These models revealed that weekly percentages of mental distress were higher in counties with higher unemployment rates, populations, and education levels; higher percentages of females, young adults, individuals with a medical condition, and individuals very worried about their finances and COVID-19; and lower percentages of individuals who were working outside the home, living with children, without health insurance, and Black. Anxiety peaked in April 2020, depression in October 2020, and isolation in December 2020. Therefore, United States counties experienced the mental health effects of the pandemic differently dependent upon their characteristics, and mental distress prevalence varied across time.

引用

页码：2431 / 2442

页数：12

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