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Patterns of mental health problems before and after easing COVID-19 restrictions: Evidence from a 105248-subject survey in general population in China
BACKGROUND: The COVID-19 pandemic has alarming implications for individual and population level mental health. Although the future of COVID-19 is unknown at present, more countries or regions start to ease restrictions. The findings from this study have provided the empirical evidence of prevalence...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8331222/ https://www.ncbi.nlm.nih.gov/pubmed/34344018 http://dx.doi.org/10.1371/journal.pone.0255251 |
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author | Jiang, Depeng Chen, Jian Liu, Yixiu Lin, Jing Liu, Kun Chen, Haizhu Jiang, Xuejing Zhang, Yingjie Chen, Xuan Cui, Binglin Jiang, Shaoping Jiang, Jianchang Zhang, Hua Hu, Huiyi Li, Chendong Li, Wenjuan Li, E. Pan, Hui |
author_facet | Jiang, Depeng Chen, Jian Liu, Yixiu Lin, Jing Liu, Kun Chen, Haizhu Jiang, Xuejing Zhang, Yingjie Chen, Xuan Cui, Binglin Jiang, Shaoping Jiang, Jianchang Zhang, Hua Hu, Huiyi Li, Chendong Li, Wenjuan Li, E. Pan, Hui |
author_sort | Jiang, Depeng |
collection | PubMed |
description | BACKGROUND: The COVID-19 pandemic has alarming implications for individual and population level mental health. Although the future of COVID-19 is unknown at present, more countries or regions start to ease restrictions. The findings from this study have provided the empirical evidence of prevalence and patterns of mental disorders in Chinese general population before and after easing most COVID-19 restrictions, and information of the factors associated with these patterns. METHODS: A cross-sectional population-based online survey was carried out from February to March 2020 in the general population across all provinces in China. The 12-item General Health Questionnaire (GHQ-12) was incorporated in the survey. Latent class analyses were performed to investigate the patterns of mental disorders and multinomial logistic regressions were used to examine how individual and regional risk factors can predict mental disorder patterns. RESULTS: Four distinctive patterns of mental health were revealed in the general population. After the ease of most COVID-19 restrictions, the prevalence of high risk of mental disorders decreased from 25.8% to 20.9% and prevalence of being high risk of unhappiness and loss of confidence decreased from 10.1% to 8.1%. However, the prevalence of stressed, social dysfunction and unhappy were consistently high before and after easing restrictions. Several regional factors, such as case mortality rate and healthcare resources, were associated with mental health status. Of note, healthcare workers were less likely to have mental disorders, compared to other professionals and students. CONCLUSIONS: The dynamic management of mental health and psychosocial well-being is as important as that of physical health both before and after the ease of COVID-19 restrictions. Our findings may help in mental health interventions in other countries and regions while easing COVID-19 restrictions. |
format | Online Article Text |
id | pubmed-8331222 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-83312222021-08-04 Patterns of mental health problems before and after easing COVID-19 restrictions: Evidence from a 105248-subject survey in general population in China Jiang, Depeng Chen, Jian Liu, Yixiu Lin, Jing Liu, Kun Chen, Haizhu Jiang, Xuejing Zhang, Yingjie Chen, Xuan Cui, Binglin Jiang, Shaoping Jiang, Jianchang Zhang, Hua Hu, Huiyi Li, Chendong Li, Wenjuan Li, E. Pan, Hui PLoS One Research Article BACKGROUND: The COVID-19 pandemic has alarming implications for individual and population level mental health. Although the future of COVID-19 is unknown at present, more countries or regions start to ease restrictions. The findings from this study have provided the empirical evidence of prevalence and patterns of mental disorders in Chinese general population before and after easing most COVID-19 restrictions, and information of the factors associated with these patterns. METHODS: A cross-sectional population-based online survey was carried out from February to March 2020 in the general population across all provinces in China. The 12-item General Health Questionnaire (GHQ-12) was incorporated in the survey. Latent class analyses were performed to investigate the patterns of mental disorders and multinomial logistic regressions were used to examine how individual and regional risk factors can predict mental disorder patterns. RESULTS: Four distinctive patterns of mental health were revealed in the general population. After the ease of most COVID-19 restrictions, the prevalence of high risk of mental disorders decreased from 25.8% to 20.9% and prevalence of being high risk of unhappiness and loss of confidence decreased from 10.1% to 8.1%. However, the prevalence of stressed, social dysfunction and unhappy were consistently high before and after easing restrictions. Several regional factors, such as case mortality rate and healthcare resources, were associated with mental health status. Of note, healthcare workers were less likely to have mental disorders, compared to other professionals and students. CONCLUSIONS: The dynamic management of mental health and psychosocial well-being is as important as that of physical health both before and after the ease of COVID-19 restrictions. Our findings may help in mental health interventions in other countries and regions while easing COVID-19 restrictions. Public Library of Science 2021-08-03 /pmc/articles/PMC8331222/ /pubmed/34344018 http://dx.doi.org/10.1371/journal.pone.0255251 Text en © 2021 Jiang et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Jiang, Depeng Chen, Jian Liu, Yixiu Lin, Jing Liu, Kun Chen, Haizhu Jiang, Xuejing Zhang, Yingjie Chen, Xuan Cui, Binglin Jiang, Shaoping Jiang, Jianchang Zhang, Hua Hu, Huiyi Li, Chendong Li, Wenjuan Li, E. Pan, Hui Patterns of mental health problems before and after easing COVID-19 restrictions: Evidence from a 105248-subject survey in general population in China |
title | Patterns of mental health problems before and after easing COVID-19 restrictions: Evidence from a 105248-subject survey in general population in China |
title_full | Patterns of mental health problems before and after easing COVID-19 restrictions: Evidence from a 105248-subject survey in general population in China |
title_fullStr | Patterns of mental health problems before and after easing COVID-19 restrictions: Evidence from a 105248-subject survey in general population in China |
title_full_unstemmed | Patterns of mental health problems before and after easing COVID-19 restrictions: Evidence from a 105248-subject survey in general population in China |
title_short | Patterns of mental health problems before and after easing COVID-19 restrictions: Evidence from a 105248-subject survey in general population in China |
title_sort | patterns of mental health problems before and after easing covid-19 restrictions: evidence from a 105248-subject survey in general population in china |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8331222/ https://www.ncbi.nlm.nih.gov/pubmed/34344018 http://dx.doi.org/10.1371/journal.pone.0255251 |
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