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Mental health status and its associated factors among female nurses in the normalization of COVID-19 epidemic prevention and control in China

OBJECTIVE: To investigate mental health status and its associated factors among female nurses in the normalization of COVID-19 epidemic prevention and control in China. METHODS: Random cluster sampling was applied to recruit 740 female nurses in China. The respondents completed the survey with mobil...

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Autores principales: Mao, Xiaofei, Dong, Wei, Zhang, Jianguo, Zhang, Fan, Deng, Wenxi, Li, Ziqiang, Hou, Tianya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9859657/
https://www.ncbi.nlm.nih.gov/pubmed/36684890
http://dx.doi.org/10.3389/fpubh.2022.1088246
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author Mao, Xiaofei
Dong, Wei
Zhang, Jianguo
Zhang, Fan
Deng, Wenxi
Li, Ziqiang
Hou, Tianya
author_facet Mao, Xiaofei
Dong, Wei
Zhang, Jianguo
Zhang, Fan
Deng, Wenxi
Li, Ziqiang
Hou, Tianya
author_sort Mao, Xiaofei
collection PubMed
description OBJECTIVE: To investigate mental health status and its associated factors among female nurses in the normalization of COVID-19 epidemic prevention and control in China. METHODS: Random cluster sampling was applied to recruit 740 female nurses in China. The respondents completed the survey with mobile devices. Demographic questionnaire, Generalized Anxiety Disorder-7, Patient Health Questionnaire-9, Insomnia Severity Index, and The Impact of Event Scale-Revised were used to assess demographic Information, anxiety, depression, insomnia and PTSD symptoms, respectively. The associated factors of mental health status were identified by binary logistic regression analysis. RESULTS: The prevalence of anxiety and depression was 7.9 and 17.8%, respectively. Insomnia was an associated factor of anxiety (OR = 6.237, 95%CI = 6.055–23.761, P < 0.001) and depression (OR = 9.651, 95%CI = 5.699–22.370, P < 0.001), while PTSD was an associated factor of anxiety (OR = 11.995, 95%CI = 2.946–13.205, P < 0.001) and depression (OR = 11.291, 95%CI = 6.056–15.380, P < 0.001), Being married was a protective factor of depression (OR = 0.811, 95%CI = 1.309–6.039, P < 0.01). CONCLUSION: Female nurses showed problems in mental health. Insomnia, PTSD and marital status were associated with mental health. The hospital management should pay more attention to the unmarried groups, and strive to improve the sleep quality of female nurses and reduce their stress caused by traumatic events.
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spelling pubmed-98596572023-01-21 Mental health status and its associated factors among female nurses in the normalization of COVID-19 epidemic prevention and control in China Mao, Xiaofei Dong, Wei Zhang, Jianguo Zhang, Fan Deng, Wenxi Li, Ziqiang Hou, Tianya Front Public Health Public Health OBJECTIVE: To investigate mental health status and its associated factors among female nurses in the normalization of COVID-19 epidemic prevention and control in China. METHODS: Random cluster sampling was applied to recruit 740 female nurses in China. The respondents completed the survey with mobile devices. Demographic questionnaire, Generalized Anxiety Disorder-7, Patient Health Questionnaire-9, Insomnia Severity Index, and The Impact of Event Scale-Revised were used to assess demographic Information, anxiety, depression, insomnia and PTSD symptoms, respectively. The associated factors of mental health status were identified by binary logistic regression analysis. RESULTS: The prevalence of anxiety and depression was 7.9 and 17.8%, respectively. Insomnia was an associated factor of anxiety (OR = 6.237, 95%CI = 6.055–23.761, P < 0.001) and depression (OR = 9.651, 95%CI = 5.699–22.370, P < 0.001), while PTSD was an associated factor of anxiety (OR = 11.995, 95%CI = 2.946–13.205, P < 0.001) and depression (OR = 11.291, 95%CI = 6.056–15.380, P < 0.001), Being married was a protective factor of depression (OR = 0.811, 95%CI = 1.309–6.039, P < 0.01). CONCLUSION: Female nurses showed problems in mental health. Insomnia, PTSD and marital status were associated with mental health. The hospital management should pay more attention to the unmarried groups, and strive to improve the sleep quality of female nurses and reduce their stress caused by traumatic events. Frontiers Media S.A. 2023-01-06 /pmc/articles/PMC9859657/ /pubmed/36684890 http://dx.doi.org/10.3389/fpubh.2022.1088246 Text en Copyright © 2023 Mao, Dong, Zhang, Zhang, Deng, Li and Hou. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Mao, Xiaofei
Dong, Wei
Zhang, Jianguo
Zhang, Fan
Deng, Wenxi
Li, Ziqiang
Hou, Tianya
Mental health status and its associated factors among female nurses in the normalization of COVID-19 epidemic prevention and control in China
title Mental health status and its associated factors among female nurses in the normalization of COVID-19 epidemic prevention and control in China
title_full Mental health status and its associated factors among female nurses in the normalization of COVID-19 epidemic prevention and control in China
title_fullStr Mental health status and its associated factors among female nurses in the normalization of COVID-19 epidemic prevention and control in China
title_full_unstemmed Mental health status and its associated factors among female nurses in the normalization of COVID-19 epidemic prevention and control in China
title_short Mental health status and its associated factors among female nurses in the normalization of COVID-19 epidemic prevention and control in China
title_sort mental health status and its associated factors among female nurses in the normalization of covid-19 epidemic prevention and control in china
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9859657/
https://www.ncbi.nlm.nih.gov/pubmed/36684890
http://dx.doi.org/10.3389/fpubh.2022.1088246
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