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Factors Influencing Depression and Mental Distress Related to COVID-19 Among University Students in China: Online Cross-sectional Mediation Study

BACKGROUND: The COVID-19 epidemic may elevate mental distress and depressive symptoms in various populations in China. OBJECTIVE: This study investigates the levels of depression and mental distress due to COVID-19, and the associations between cognitive, behavioral, and psychosocial factors, and de...

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Autores principales: Yu, Yanqiu, She, Rui, Luo, Sitong, Xin, Meiqi, Li, Lijuan, Wang, Suhua, Ma, Le, Tao, Fangbiao, Zhang, Jianxin, Zhao, Junfeng, Li, Liping, Hu, Dongsheng, Zhang, Guohua, Gu, Jing, Lin, Danhua, Wang, Hongmei, Cai, Yong, Wang, Zhaofen, You, Hua, Hu, Guoqing, Lau, Joseph Tak-Fai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7901598/
https://www.ncbi.nlm.nih.gov/pubmed/33616541
http://dx.doi.org/10.2196/22705
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author Yu, Yanqiu
She, Rui
Luo, Sitong
Xin, Meiqi
Li, Lijuan
Wang, Suhua
Ma, Le
Tao, Fangbiao
Zhang, Jianxin
Zhao, Junfeng
Li, Liping
Hu, Dongsheng
Zhang, Guohua
Gu, Jing
Lin, Danhua
Wang, Hongmei
Cai, Yong
Wang, Zhaofen
You, Hua
Hu, Guoqing
Lau, Joseph Tak-Fai
author_facet Yu, Yanqiu
She, Rui
Luo, Sitong
Xin, Meiqi
Li, Lijuan
Wang, Suhua
Ma, Le
Tao, Fangbiao
Zhang, Jianxin
Zhao, Junfeng
Li, Liping
Hu, Dongsheng
Zhang, Guohua
Gu, Jing
Lin, Danhua
Wang, Hongmei
Cai, Yong
Wang, Zhaofen
You, Hua
Hu, Guoqing
Lau, Joseph Tak-Fai
author_sort Yu, Yanqiu
collection PubMed
description BACKGROUND: The COVID-19 epidemic may elevate mental distress and depressive symptoms in various populations in China. OBJECTIVE: This study investigates the levels of depression and mental distress due to COVID-19, and the associations between cognitive, behavioral, and psychosocial factors, and depression and mental distress due to COVID-19 among university students in China. METHODS: A large-scale online cross-sectional study (16 cities in 13 provinces) was conducted among university students from February 1 to 10, 2020, in China; 23,863 valid questionnaires were returned. The Patient Health Questionnaire-9 was used to assess depression. Structural equation modeling was performed to test mediation and suppression effects. RESULTS: Of the 23,863 participants, 47.1% (n=11,235) reported high or very high levels of one or more types of mental distress due to COVID-19; 39.1% (n=9326) showed mild to severe depression. Mental distress due to COVID-19 was positively associated with depression. All but one factor (perceived infection risks, perceived chance of controlling the epidemic, staying at home, contacted people from Wuhan, and perceived discrimination) were significantly associated with mental distress due to COVID-19 and depression. Mental distress due to COVID-19 partially mediated and suppressed the associations between some of the studied factors and depression (effect size of 6.0%-79.5%). CONCLUSIONS: Both mental distress due to COVID-19 and depression were prevalent among university students in China; the former may have increased the prevalence of the latter. The studied cognitive, behavioral, and psychosocial factors related to COVID-19 may directly or indirectly (via mental distress due to COVID-19) affect depression. Interventions to modify such factors may reduce mental distress and depressive symptoms during the COVID-19 epidemic.
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spelling pubmed-79015982021-03-02 Factors Influencing Depression and Mental Distress Related to COVID-19 Among University Students in China: Online Cross-sectional Mediation Study Yu, Yanqiu She, Rui Luo, Sitong Xin, Meiqi Li, Lijuan Wang, Suhua Ma, Le Tao, Fangbiao Zhang, Jianxin Zhao, Junfeng Li, Liping Hu, Dongsheng Zhang, Guohua Gu, Jing Lin, Danhua Wang, Hongmei Cai, Yong Wang, Zhaofen You, Hua Hu, Guoqing Lau, Joseph Tak-Fai JMIR Ment Health Original Paper BACKGROUND: The COVID-19 epidemic may elevate mental distress and depressive symptoms in various populations in China. OBJECTIVE: This study investigates the levels of depression and mental distress due to COVID-19, and the associations between cognitive, behavioral, and psychosocial factors, and depression and mental distress due to COVID-19 among university students in China. METHODS: A large-scale online cross-sectional study (16 cities in 13 provinces) was conducted among university students from February 1 to 10, 2020, in China; 23,863 valid questionnaires were returned. The Patient Health Questionnaire-9 was used to assess depression. Structural equation modeling was performed to test mediation and suppression effects. RESULTS: Of the 23,863 participants, 47.1% (n=11,235) reported high or very high levels of one or more types of mental distress due to COVID-19; 39.1% (n=9326) showed mild to severe depression. Mental distress due to COVID-19 was positively associated with depression. All but one factor (perceived infection risks, perceived chance of controlling the epidemic, staying at home, contacted people from Wuhan, and perceived discrimination) were significantly associated with mental distress due to COVID-19 and depression. Mental distress due to COVID-19 partially mediated and suppressed the associations between some of the studied factors and depression (effect size of 6.0%-79.5%). CONCLUSIONS: Both mental distress due to COVID-19 and depression were prevalent among university students in China; the former may have increased the prevalence of the latter. The studied cognitive, behavioral, and psychosocial factors related to COVID-19 may directly or indirectly (via mental distress due to COVID-19) affect depression. Interventions to modify such factors may reduce mental distress and depressive symptoms during the COVID-19 epidemic. JMIR Publications 2021-02-22 /pmc/articles/PMC7901598/ /pubmed/33616541 http://dx.doi.org/10.2196/22705 Text en ©Yanqiu Yu, Rui She, Sitong Luo, Meiqi Xin, Lijuan Li, Suhua Wang, Le Ma, Fangbiao Tao, Jianxin Zhang, Junfeng Zhao, Liping Li, Dongsheng Hu, Guohua Zhang, Jing Gu, Danhua Lin, Hongmei Wang, Yong Cai, Zhaofen Wang, Hua You, Guoqing Hu, Joseph Tak-Fai Lau. Originally published in JMIR Mental Health (http://mental.jmir.org), 22.02.2021. 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 work, first published in JMIR Mental Health, is properly cited. The complete bibliographic information, a link to the original publication on http://mental.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Yu, Yanqiu
She, Rui
Luo, Sitong
Xin, Meiqi
Li, Lijuan
Wang, Suhua
Ma, Le
Tao, Fangbiao
Zhang, Jianxin
Zhao, Junfeng
Li, Liping
Hu, Dongsheng
Zhang, Guohua
Gu, Jing
Lin, Danhua
Wang, Hongmei
Cai, Yong
Wang, Zhaofen
You, Hua
Hu, Guoqing
Lau, Joseph Tak-Fai
Factors Influencing Depression and Mental Distress Related to COVID-19 Among University Students in China: Online Cross-sectional Mediation Study
title Factors Influencing Depression and Mental Distress Related to COVID-19 Among University Students in China: Online Cross-sectional Mediation Study
title_full Factors Influencing Depression and Mental Distress Related to COVID-19 Among University Students in China: Online Cross-sectional Mediation Study
title_fullStr Factors Influencing Depression and Mental Distress Related to COVID-19 Among University Students in China: Online Cross-sectional Mediation Study
title_full_unstemmed Factors Influencing Depression and Mental Distress Related to COVID-19 Among University Students in China: Online Cross-sectional Mediation Study
title_short Factors Influencing Depression and Mental Distress Related to COVID-19 Among University Students in China: Online Cross-sectional Mediation Study
title_sort factors influencing depression and mental distress related to covid-19 among university students in china: online cross-sectional mediation study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7901598/
https://www.ncbi.nlm.nih.gov/pubmed/33616541
http://dx.doi.org/10.2196/22705
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