Prevalence and predictors of PTSS during COVID-19 outbreak in China hardest-hit areas: Gender differences matter
•The prevalence of posttraumatic stress symptoms (PTSS) in China hardest-hit areas a month after the COVID-19 outbreak was 7%.•Hierarchical regression analysis and non-parametric test suggested that women reported significant higher PTSS in the domains of re-experiencing, negative alterations in cog...
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Veröffentlicht in: | Psychiatry research 2020-05, Vol.287, p.112921-112921, Article 112921 |
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description | •The prevalence of posttraumatic stress symptoms (PTSS) in China hardest-hit areas a month after the COVID-19 outbreak was 7%.•Hierarchical regression analysis and non-parametric test suggested that 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.
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. |
doi_str_mv | 10.1016/j.psychres.2020.112921 |
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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.</description><identifier>ISSN: 0165-1781</identifier><identifier>ISSN: 1872-7123</identifier><identifier>EISSN: 1872-7123</identifier><identifier>DOI: 10.1016/j.psychres.2020.112921</identifier><identifier>PMID: 32240896</identifier><language>eng</language><publisher>Ireland: Elsevier B.V</publisher><subject>Adult ; Betacoronavirus ; China - epidemiology ; Coronavirus Infections - epidemiology ; Coronavirus Infections - psychology ; COVID-19 ; Disease Outbreaks ; Female ; Humans ; Male ; Pandemics ; Pneumonia, Viral - epidemiology ; Pneumonia, Viral - psychology ; Prevalence ; SARS-CoV-2 ; Sex Factors ; Sleep Initiation and Maintenance Disorders - epidemiology ; Stress Disorders, Post-Traumatic - etiology ; Surveys and Questionnaires ; Young Adult</subject><ispartof>Psychiatry research, 2020-05, Vol.287, p.112921-112921, Article 112921</ispartof><rights>2020 Elsevier B.V.</rights><rights>Copyright © 2020 Elsevier B.V. All rights reserved.</rights><rights>2020 Elsevier B.V. All rights reserved. 2020 Elsevier B.V.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c623t-9f64f42168e57e5dcd747920f431619e20baa3493a896f3c26b5632d1562718c3</citedby><cites>FETCH-LOGICAL-c623t-9f64f42168e57e5dcd747920f431619e20baa3493a896f3c26b5632d1562718c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.psychres.2020.112921$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,780,784,885,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32240896$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Liu, Nianqi</creatorcontrib><creatorcontrib>Zhang, Fan</creatorcontrib><creatorcontrib>Wei, Cun</creatorcontrib><creatorcontrib>Jia, Yanpu</creatorcontrib><creatorcontrib>Shang, Zhilei</creatorcontrib><creatorcontrib>Sun, Luna</creatorcontrib><creatorcontrib>Wu, Lili</creatorcontrib><creatorcontrib>Sun, Zhuoer</creatorcontrib><creatorcontrib>Zhou, Yaoguang</creatorcontrib><creatorcontrib>Wang, Yan</creatorcontrib><creatorcontrib>Liu, Weizhi</creatorcontrib><title>Prevalence and predictors of PTSS during COVID-19 outbreak in China hardest-hit areas: Gender differences matter</title><title>Psychiatry research</title><addtitle>Psychiatry Res</addtitle><description>•The prevalence of posttraumatic stress symptoms (PTSS) in China hardest-hit areas a month after the COVID-19 outbreak was 7%.•Hierarchical regression analysis and non-parametric test suggested that 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.
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.</description><subject>Adult</subject><subject>Betacoronavirus</subject><subject>China - epidemiology</subject><subject>Coronavirus Infections - epidemiology</subject><subject>Coronavirus Infections - psychology</subject><subject>COVID-19</subject><subject>Disease Outbreaks</subject><subject>Female</subject><subject>Humans</subject><subject>Male</subject><subject>Pandemics</subject><subject>Pneumonia, Viral - epidemiology</subject><subject>Pneumonia, Viral - psychology</subject><subject>Prevalence</subject><subject>SARS-CoV-2</subject><subject>Sex Factors</subject><subject>Sleep Initiation and Maintenance Disorders - epidemiology</subject><subject>Stress Disorders, Post-Traumatic - etiology</subject><subject>Surveys and Questionnaires</subject><subject>Young Adult</subject><issn>0165-1781</issn><issn>1872-7123</issn><issn>1872-7123</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkUFv1DAQhS1ERZfSv1D5yCWLPU6cmAMCbaFUqtRKLb1aXnvceMkmwU5W6r_Hq20rOPVkyfPmvZn5CDnjbMkZl582yzE92jZiWgKD_MlBAX9DFrypoag5iLdkkYVVweuGH5P3KW0YY8CVekeOBUDJGiUXZLyJuDMd9hap6R0dI7pgpyEmOnh6c3d7S90cQ_9AV9f3l-cFV3SYp3VE85uGnq7a0BvamugwTUUbJmpyKX2mF9g7jNQF7zHu3RPdmmnC-IEcedMlPH16T8ivH9_vVj-Lq-uLy9W3q8JKEFOhvCx9CVw2WNVYOevqslbAfCm45AqBrY0RpRImr-GFBbmupADHKwk1b6w4IV8OvuO83qKz2E_RdHqMYWviox5M0P9X-tDqh2Gna85AAmSDj08Gcfgz5_X0NiSLXWd6HOakQTQ5StSqylJ5kNo4pBTRv8Rwpve49EY_49J7XPqAKzee_TvkS9sznyz4ehBgPtUuYNTJhv05XYhoJ-2G8FrGX8qXqh0</recordid><startdate>20200501</startdate><enddate>20200501</enddate><creator>Liu, Nianqi</creator><creator>Zhang, Fan</creator><creator>Wei, Cun</creator><creator>Jia, Yanpu</creator><creator>Shang, Zhilei</creator><creator>Sun, Luna</creator><creator>Wu, Lili</creator><creator>Sun, Zhuoer</creator><creator>Zhou, Yaoguang</creator><creator>Wang, Yan</creator><creator>Liu, Weizhi</creator><general>Elsevier B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20200501</creationdate><title>Prevalence and predictors of PTSS during COVID-19 outbreak in China hardest-hit areas: Gender differences matter</title><author>Liu, Nianqi ; Zhang, Fan ; Wei, Cun ; Jia, Yanpu ; Shang, Zhilei ; Sun, Luna ; Wu, Lili ; Sun, Zhuoer ; Zhou, Yaoguang ; Wang, Yan ; Liu, Weizhi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c623t-9f64f42168e57e5dcd747920f431619e20baa3493a896f3c26b5632d1562718c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adult</topic><topic>Betacoronavirus</topic><topic>China - epidemiology</topic><topic>Coronavirus Infections - epidemiology</topic><topic>Coronavirus Infections - psychology</topic><topic>COVID-19</topic><topic>Disease Outbreaks</topic><topic>Female</topic><topic>Humans</topic><topic>Male</topic><topic>Pandemics</topic><topic>Pneumonia, Viral - epidemiology</topic><topic>Pneumonia, Viral - psychology</topic><topic>Prevalence</topic><topic>SARS-CoV-2</topic><topic>Sex Factors</topic><topic>Sleep Initiation and Maintenance Disorders - epidemiology</topic><topic>Stress Disorders, Post-Traumatic - etiology</topic><topic>Surveys and Questionnaires</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Nianqi</creatorcontrib><creatorcontrib>Zhang, Fan</creatorcontrib><creatorcontrib>Wei, Cun</creatorcontrib><creatorcontrib>Jia, Yanpu</creatorcontrib><creatorcontrib>Shang, Zhilei</creatorcontrib><creatorcontrib>Sun, Luna</creatorcontrib><creatorcontrib>Wu, Lili</creatorcontrib><creatorcontrib>Sun, Zhuoer</creatorcontrib><creatorcontrib>Zhou, Yaoguang</creatorcontrib><creatorcontrib>Wang, Yan</creatorcontrib><creatorcontrib>Liu, Weizhi</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Psychiatry research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Nianqi</au><au>Zhang, Fan</au><au>Wei, Cun</au><au>Jia, Yanpu</au><au>Shang, Zhilei</au><au>Sun, Luna</au><au>Wu, Lili</au><au>Sun, Zhuoer</au><au>Zhou, Yaoguang</au><au>Wang, Yan</au><au>Liu, Weizhi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prevalence and predictors of PTSS during COVID-19 outbreak in China hardest-hit areas: Gender differences matter</atitle><jtitle>Psychiatry research</jtitle><addtitle>Psychiatry Res</addtitle><date>2020-05-01</date><risdate>2020</risdate><volume>287</volume><spage>112921</spage><epage>112921</epage><pages>112921-112921</pages><artnum>112921</artnum><issn>0165-1781</issn><issn>1872-7123</issn><eissn>1872-7123</eissn><abstract>•The prevalence of posttraumatic stress symptoms (PTSS) in China hardest-hit areas a month after the COVID-19 outbreak was 7%.•Hierarchical regression analysis and non-parametric test suggested that 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.
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.</abstract><cop>Ireland</cop><pub>Elsevier B.V</pub><pmid>32240896</pmid><doi>10.1016/j.psychres.2020.112921</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult Betacoronavirus China - epidemiology Coronavirus Infections - epidemiology Coronavirus Infections - psychology COVID-19 Disease Outbreaks Female Humans Male Pandemics Pneumonia, Viral - epidemiology Pneumonia, Viral - psychology Prevalence SARS-CoV-2 Sex Factors Sleep Initiation and Maintenance Disorders - epidemiology Stress Disorders, Post-Traumatic - etiology Surveys and Questionnaires Young Adult |
title | Prevalence and predictors of PTSS during COVID-19 outbreak in China hardest-hit areas: Gender differences matter |
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