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Prevalence and predictors of PTSS during COVID-19 outbreak in China hardest-hit areas: Gender differences matter

The outbreak of COVID-19 in China in December 2019 has been identified as a pandemic and a health emergency of global concern. Our objective was to investigate the prevalence and predictors of posttraumatic stress symptoms (PTSS) in China hardest-hit areas during COVID-19 outbreak, especially explor...

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Autores principales: Liu, Nianqi, Zhang, Fan, Wei, Cun, Jia, Yanpu, Shang, Zhilei, Sun, Luna, Wu, Lili, Sun, Zhuoer, Zhou, Yaoguang, Wang, Yan, Liu, Weizhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7102622/
https://www.ncbi.nlm.nih.gov/pubmed/32240896
http://dx.doi.org/10.1016/j.psychres.2020.112921
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author Liu, Nianqi
Zhang, Fan
Wei, Cun
Jia, Yanpu
Shang, Zhilei
Sun, Luna
Wu, Lili
Sun, Zhuoer
Zhou, Yaoguang
Wang, Yan
Liu, Weizhi
author_facet Liu, Nianqi
Zhang, Fan
Wei, Cun
Jia, Yanpu
Shang, Zhilei
Sun, Luna
Wu, Lili
Sun, Zhuoer
Zhou, Yaoguang
Wang, Yan
Liu, Weizhi
author_sort Liu, Nianqi
collection PubMed
description The outbreak of COVID-19 in China in December 2019 has been identified as a pandemic and a health emergency of global concern. Our objective was to investigate the prevalence and predictors of posttraumatic stress symptoms (PTSS) in China hardest-hit areas during COVID-19 outbreak, especially exploring the gender difference existing in PTSS. One month after the December 2019 COVID-19 outbreak in Wuhan China, we surveyed PTSS and sleep qualities among 285 residents in Wuhan and surrounding cities using the PTSD Checklist for DSM-5 (PCL-5) and 4 items from the Pittsburgh Sleep Quality Index (PSQI). Hierarchical regression analysis and non-parametric test were used to analyze the data. Results indicated that the prevalence of PTSS in China hardest-hit areas a month after the COVID-19 outbreak was 7%. Women reported significant higher PTSS in the domains of re-experiencing, negative alterations in cognition or mood, and hyper-arousal. Participants with better sleep quality or less frequency of early awakenings reported lower PTSS. Professional and effective mental health services should be designed in order to aid the psychological wellbeing of the population in affected areas, especially those living in hardest-hit areas, females and people with poor sleep quality.
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spelling pubmed-71026222020-03-31 Prevalence and predictors of PTSS during COVID-19 outbreak in China hardest-hit areas: Gender differences matter Liu, Nianqi Zhang, Fan Wei, Cun Jia, Yanpu Shang, Zhilei Sun, Luna Wu, Lili Sun, Zhuoer Zhou, Yaoguang Wang, Yan Liu, Weizhi Psychiatry Res Article The outbreak of COVID-19 in China in December 2019 has been identified as a pandemic and a health emergency of global concern. Our objective was to investigate the prevalence and predictors of posttraumatic stress symptoms (PTSS) in China hardest-hit areas during COVID-19 outbreak, especially exploring the gender difference existing in PTSS. One month after the December 2019 COVID-19 outbreak in Wuhan China, we surveyed PTSS and sleep qualities among 285 residents in Wuhan and surrounding cities using the PTSD Checklist for DSM-5 (PCL-5) and 4 items from the Pittsburgh Sleep Quality Index (PSQI). Hierarchical regression analysis and non-parametric test were used to analyze the data. Results indicated that the prevalence of PTSS in China hardest-hit areas a month after the COVID-19 outbreak was 7%. Women reported significant higher PTSS in the domains of re-experiencing, negative alterations in cognition or mood, and hyper-arousal. Participants with better sleep quality or less frequency of early awakenings reported lower PTSS. Professional and effective mental health services should be designed in order to aid the psychological wellbeing of the population in affected areas, especially those living in hardest-hit areas, females and people with poor sleep quality. Elsevier B.V. 2020-05 2020-03-16 /pmc/articles/PMC7102622/ /pubmed/32240896 http://dx.doi.org/10.1016/j.psychres.2020.112921 Text en © 2020 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Liu, Nianqi
Zhang, Fan
Wei, Cun
Jia, Yanpu
Shang, Zhilei
Sun, Luna
Wu, Lili
Sun, Zhuoer
Zhou, Yaoguang
Wang, Yan
Liu, Weizhi
Prevalence and predictors of PTSS during COVID-19 outbreak in China hardest-hit areas: Gender differences matter
title Prevalence and predictors of PTSS during COVID-19 outbreak in China hardest-hit areas: Gender differences matter
title_full Prevalence and predictors of PTSS during COVID-19 outbreak in China hardest-hit areas: Gender differences matter
title_fullStr Prevalence and predictors of PTSS during COVID-19 outbreak in China hardest-hit areas: Gender differences matter
title_full_unstemmed Prevalence and predictors of PTSS during COVID-19 outbreak in China hardest-hit areas: Gender differences matter
title_short Prevalence and predictors of PTSS during COVID-19 outbreak in China hardest-hit areas: Gender differences matter
title_sort prevalence and predictors of ptss during covid-19 outbreak in china hardest-hit areas: gender differences matter
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7102622/
https://www.ncbi.nlm.nih.gov/pubmed/32240896
http://dx.doi.org/10.1016/j.psychres.2020.112921
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