Psychological State Among the General Chinese Population Before and During the COVID-19 Epidemic: A Network Analysis
Background: The infectious disease Coronavirus Disease 2019 (COVID-19) outbroke in 2019 spread to multiple countries. The quick spread of the virus and isolation strategies may trigger psychological problems. Our aim was to explore the dynamic network structure of the psychological state before and...
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2021-02-01
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doaj-615dc252dfc04c8ca62ad73be6181b002021-02-26T07:17:06ZengFrontiers Media S.A.Frontiers in Psychiatry1664-06402021-02-011210.3389/fpsyt.2021.591656591656Psychological State Among the General Chinese Population Before and During the COVID-19 Epidemic: A Network AnalysisFenfen Ge0Anni Zheng1Mengtong Wan2Guan Luo3Jun Zhang4Mental Health Center, West China Hospital, Sichuan University, Chengdu, ChinaNational Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, ChinaWuyuzhang Honors College, Sichuan University, Chengdu, ChinaNational Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, ChinaMental Health Center, West China Hospital, Sichuan University, Chengdu, ChinaBackground: The infectious disease Coronavirus Disease 2019 (COVID-19) outbroke in 2019 spread to multiple countries. The quick spread of the virus and isolation strategies may trigger psychological problems. Our aim was to explore the dynamic network structure of the psychological state before and during the epidemic.Methods: A web-based survey was conducted in two stages: the T1 stage (1 January 2019 to 31 December 2019) and the T2 stage (1 February 2020 to 8 March 2020). In both stages, the Patient Health Questionnaire-9, General Anxiety Disorder-7, and Pittsburgh Sleep Quality Index were used to assess depression, anxiety, and sleep, respectively.Results: We matched the data based on IP addresses. We included 1,978, 1,547, and 2,061 individuals who completed the depression, anxiety, and sleep assessments, respectively, at both stages. During epidemics, psychomotor agitation/retardation, inability to relax, restless behavior, and the frequency of using medicine had high centrality. Meanwhile, the network structure of psychological symptoms becomes stronger than before the epidemic.Conclusion: Symptoms of psychomotor agitation/retardation, inability to relax, and restless behavior should be treated preferentially. It is necessary to provide mental health services, including timely and effective early psychological intervention. In addition, we should also pay attention to the way patients use medicines to promote sleep quality.https://www.frontiersin.org/articles/10.3389/fpsyt.2021.591656/fullCOVID-19psychological statenetwork analysislongitudinal studygeneral population |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Fenfen Ge Anni Zheng Mengtong Wan Guan Luo Jun Zhang |
spellingShingle |
Fenfen Ge Anni Zheng Mengtong Wan Guan Luo Jun Zhang Psychological State Among the General Chinese Population Before and During the COVID-19 Epidemic: A Network Analysis Frontiers in Psychiatry COVID-19 psychological state network analysis longitudinal study general population |
author_facet |
Fenfen Ge Anni Zheng Mengtong Wan Guan Luo Jun Zhang |
author_sort |
Fenfen Ge |
title |
Psychological State Among the General Chinese Population Before and During the COVID-19 Epidemic: A Network Analysis |
title_short |
Psychological State Among the General Chinese Population Before and During the COVID-19 Epidemic: A Network Analysis |
title_full |
Psychological State Among the General Chinese Population Before and During the COVID-19 Epidemic: A Network Analysis |
title_fullStr |
Psychological State Among the General Chinese Population Before and During the COVID-19 Epidemic: A Network Analysis |
title_full_unstemmed |
Psychological State Among the General Chinese Population Before and During the COVID-19 Epidemic: A Network Analysis |
title_sort |
psychological state among the general chinese population before and during the covid-19 epidemic: a network analysis |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Psychiatry |
issn |
1664-0640 |
publishDate |
2021-02-01 |
description |
Background: The infectious disease Coronavirus Disease 2019 (COVID-19) outbroke in 2019 spread to multiple countries. The quick spread of the virus and isolation strategies may trigger psychological problems. Our aim was to explore the dynamic network structure of the psychological state before and during the epidemic.Methods: A web-based survey was conducted in two stages: the T1 stage (1 January 2019 to 31 December 2019) and the T2 stage (1 February 2020 to 8 March 2020). In both stages, the Patient Health Questionnaire-9, General Anxiety Disorder-7, and Pittsburgh Sleep Quality Index were used to assess depression, anxiety, and sleep, respectively.Results: We matched the data based on IP addresses. We included 1,978, 1,547, and 2,061 individuals who completed the depression, anxiety, and sleep assessments, respectively, at both stages. During epidemics, psychomotor agitation/retardation, inability to relax, restless behavior, and the frequency of using medicine had high centrality. Meanwhile, the network structure of psychological symptoms becomes stronger than before the epidemic.Conclusion: Symptoms of psychomotor agitation/retardation, inability to relax, and restless behavior should be treated preferentially. It is necessary to provide mental health services, including timely and effective early psychological intervention. In addition, we should also pay attention to the way patients use medicines to promote sleep quality. |
topic |
COVID-19 psychological state network analysis longitudinal study general population |
url |
https://www.frontiersin.org/articles/10.3389/fpsyt.2021.591656/full |
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