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Sleep quality and mental health of medical workers during the coronavirus disease 2019 pandemic
The purpose of this study is to assess the sleep quality, mental health status, and associated factors among medical workers during the coronavirus disease 2019 (COVID-19) pandemic. A cross-sectional study was conducted and medical workers in Ningbo, China were recruited. Sleep quality was evaluated...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Singapore
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7797025/ https://www.ncbi.nlm.nih.gov/pubmed/33456342 http://dx.doi.org/10.1007/s41105-020-00304-7 |
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author | Zheng, Yahua Wang, Lili Feng, Lingfei Ye, Lingxiao Zhang, Aiping Fan, Rui |
author_facet | Zheng, Yahua Wang, Lili Feng, Lingfei Ye, Lingxiao Zhang, Aiping Fan, Rui |
author_sort | Zheng, Yahua |
collection | PubMed |
description | The purpose of this study is to assess the sleep quality, mental health status, and associated factors among medical workers during the coronavirus disease 2019 (COVID-19) pandemic. A cross-sectional study was conducted and medical workers in Ningbo, China were recruited. Sleep quality was evaluated by Pittsburgh Sleep Quality Index (PSQI). Mental health status was evaluated by Symptom Checklist 90 (SCL-90). Logistic regression and generalized multi-factor dimensionality reduction (GMDR) analysis were utilized to explore the risk factors and their interactions on sleep quality and mental health status. 207 participants were surveyed, and 34.30% were found with poor sleep quality (total PSQI score > 10), mainly manifested as sleep disturbance (92.75%). 27.05% were found with mental symptoms (Global severity index > 1.50), mainly manifested as obsessive–compulsive (25.60%). Multivariate logistic analysis showed that male (OR 3.89, 95% CI 1.06–14.24, P = 0.04), working years > 15 years (OR 4.51, 95% CI 1.56–13.00, P = 0.01), nurse (OR 5.64, 95% CI 1.35–23.63, P = 0.02), more night shifts (OR 3.10, 95% CI 1.31–7.34, P = 0.01), and supporting Wuhan (OR 3.41, 95% CI 1.12–10.40, P = 0.03) were associated with poor sleep quality. GMDR analysis showed that there was a two-factor interaction between working years and working shifts (P = 0.01). No significant factors and interactions were found associated with mental symptoms. In conclusions, about one-third of medical workers suffered from sleep and mental problems during the COVID-19 pandemic in the current study. Interventions for sleep and mental problems among medical workers were needed based on related factors. |
format | Online Article Text |
id | pubmed-7797025 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Singapore |
record_format | MEDLINE/PubMed |
spelling | pubmed-77970252021-01-11 Sleep quality and mental health of medical workers during the coronavirus disease 2019 pandemic Zheng, Yahua Wang, Lili Feng, Lingfei Ye, Lingxiao Zhang, Aiping Fan, Rui Sleep Biol Rhythms Original Article The purpose of this study is to assess the sleep quality, mental health status, and associated factors among medical workers during the coronavirus disease 2019 (COVID-19) pandemic. A cross-sectional study was conducted and medical workers in Ningbo, China were recruited. Sleep quality was evaluated by Pittsburgh Sleep Quality Index (PSQI). Mental health status was evaluated by Symptom Checklist 90 (SCL-90). Logistic regression and generalized multi-factor dimensionality reduction (GMDR) analysis were utilized to explore the risk factors and their interactions on sleep quality and mental health status. 207 participants were surveyed, and 34.30% were found with poor sleep quality (total PSQI score > 10), mainly manifested as sleep disturbance (92.75%). 27.05% were found with mental symptoms (Global severity index > 1.50), mainly manifested as obsessive–compulsive (25.60%). Multivariate logistic analysis showed that male (OR 3.89, 95% CI 1.06–14.24, P = 0.04), working years > 15 years (OR 4.51, 95% CI 1.56–13.00, P = 0.01), nurse (OR 5.64, 95% CI 1.35–23.63, P = 0.02), more night shifts (OR 3.10, 95% CI 1.31–7.34, P = 0.01), and supporting Wuhan (OR 3.41, 95% CI 1.12–10.40, P = 0.03) were associated with poor sleep quality. GMDR analysis showed that there was a two-factor interaction between working years and working shifts (P = 0.01). No significant factors and interactions were found associated with mental symptoms. In conclusions, about one-third of medical workers suffered from sleep and mental problems during the COVID-19 pandemic in the current study. Interventions for sleep and mental problems among medical workers were needed based on related factors. Springer Singapore 2021-01-10 2021 /pmc/articles/PMC7797025/ /pubmed/33456342 http://dx.doi.org/10.1007/s41105-020-00304-7 Text en © Japanese Society of Sleep Research 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Article Zheng, Yahua Wang, Lili Feng, Lingfei Ye, Lingxiao Zhang, Aiping Fan, Rui Sleep quality and mental health of medical workers during the coronavirus disease 2019 pandemic |
title | Sleep quality and mental health of medical workers during the coronavirus disease 2019 pandemic |
title_full | Sleep quality and mental health of medical workers during the coronavirus disease 2019 pandemic |
title_fullStr | Sleep quality and mental health of medical workers during the coronavirus disease 2019 pandemic |
title_full_unstemmed | Sleep quality and mental health of medical workers during the coronavirus disease 2019 pandemic |
title_short | Sleep quality and mental health of medical workers during the coronavirus disease 2019 pandemic |
title_sort | sleep quality and mental health of medical workers during the coronavirus disease 2019 pandemic |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7797025/ https://www.ncbi.nlm.nih.gov/pubmed/33456342 http://dx.doi.org/10.1007/s41105-020-00304-7 |
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