Posttraumatic stress symptoms of health care workers during the corona virus disease 2019
Corona virus disease 2019 (COVID‐19) outbreak has attracted worldwide attention. The COVID‐19 outbreak is unique in its rapid transmission and results in heavy stress for the front‐line health care workers (HCWs). The current study aimed to exam posttraumatic stress symptoms (PTSSs) of HCWs fighting...
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Veröffentlicht in: | Clinical psychology and psychotherapy 2020-05, Vol.27 (3), p.384-395 |
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container_title | Clinical psychology and psychotherapy |
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creator | Yin, Qianlan Sun, Zhuoer Liu, Tuanjie Ni, Xiong Deng, Xuanfeng Jia, Yanpu Shang, Zhilei Zhou, Yaoguang Liu, Weizhi |
description | Corona virus disease 2019 (COVID‐19) outbreak has attracted worldwide attention. The COVID‐19 outbreak is unique in its rapid transmission and results in heavy stress for the front‐line health care workers (HCWs). The current study aimed to exam posttraumatic stress symptoms (PTSSs) of HCWs fighting for the COVID‐19 and to evaluate their sleep quality after 1‐month stressful suffering. Three hundred seventy‐seven HCWs working in different provinces of China participated in the survey between February 1 and 5. The demographic information was collected first. Posttraumatic Stress Disorder Checklist for DSM‐5 (PCL‐5) and the Pittsburgh Sleep Quality Index (PSQI) were selected to measure PTSSs and sleep quality. Results showed that 1 month after the outbreak, the prevalence of PTSSs was 3.8% in HCWs. Female HCWs were more vulnerable to PTSSs with hazard ratio of 2.136 (95% CI = 1.388–3.286). HCWs with higher exposure level also significantly rated more hyperarousal symptoms (hazard ratio = 4.026, 95% CI = 1.233–13.140). There was a significant difference of sleep quality between participants with and without PTSSs (z value = 6.014, p < .001) and among different groups with various contact frequencies (chi‐square = 7.307, p = .026). Path analysis showed that there was a significant indirect effect from exposure level to PTSSs through sleep quality (coefficient = 1.750, 95% CI of Boostroop test = 0.543–2.998). In summary, targeted interventions on sleep contribute to the mental recovery during the outbreak of COVID‐19. Understanding the mental health response after a public health emergency might help HCWs and communities prepare for a population's response to disaster. |
doi_str_mv | 10.1002/cpp.2477 |
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The COVID‐19 outbreak is unique in its rapid transmission and results in heavy stress for the front‐line health care workers (HCWs). The current study aimed to exam posttraumatic stress symptoms (PTSSs) of HCWs fighting for the COVID‐19 and to evaluate their sleep quality after 1‐month stressful suffering. Three hundred seventy‐seven HCWs working in different provinces of China participated in the survey between February 1 and 5. The demographic information was collected first. Posttraumatic Stress Disorder Checklist for DSM‐5 (PCL‐5) and the Pittsburgh Sleep Quality Index (PSQI) were selected to measure PTSSs and sleep quality. Results showed that 1 month after the outbreak, the prevalence of PTSSs was 3.8% in HCWs. Female HCWs were more vulnerable to PTSSs with hazard ratio of 2.136 (95% CI = 1.388–3.286). HCWs with higher exposure level also significantly rated more hyperarousal symptoms (hazard ratio = 4.026, 95% CI = 1.233–13.140). There was a significant difference of sleep quality between participants with and without PTSSs (z value = 6.014, p < .001) and among different groups with various contact frequencies (chi‐square = 7.307, p = .026). Path analysis showed that there was a significant indirect effect from exposure level to PTSSs through sleep quality (coefficient = 1.750, 95% CI of Boostroop test = 0.543–2.998). In summary, targeted interventions on sleep contribute to the mental recovery during the outbreak of COVID‐19. Understanding the mental health response after a public health emergency might help HCWs and communities prepare for a population's response to disaster.</description><identifier>ISSN: 1063-3995</identifier><identifier>ISSN: 1099-0879</identifier><identifier>EISSN: 1099-0879</identifier><identifier>DOI: 10.1002/cpp.2477</identifier><identifier>PMID: 32415733</identifier><language>eng</language><publisher>England: John Wiley and Sons, Limited</publisher><subject>Adolescent ; Adult ; Betacoronavirus ; Chi-square test ; China - epidemiology ; Coronavirus Infections - psychology ; Coronaviruses ; COVID-19 ; Cross-Sectional Studies ; Female ; Health care ; health care workers (HCWs) ; Health Personnel - psychology ; Health Personnel - statistics & numerical data ; Humans ; Male ; Medical personnel ; Middle Aged ; Outbreaks ; Pandemics ; Pneumonia, Viral - psychology ; Post traumatic stress disorder ; psychological guidance ; PTSD ; Public health ; Quality ; SARS-CoV-2 ; Sleep ; sleep quality ; Stress ; Stress Disorders, Post-Traumatic - epidemiology ; Stress Disorders, Post-Traumatic - prevention & control ; Young Adult</subject><ispartof>Clinical psychology and psychotherapy, 2020-05, Vol.27 (3), p.384-395</ispartof><rights>2020 John Wiley & Sons, Ltd.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5047-d9d6b8f7c9eecf8e1804da37e91b2e7c0713f9a491e3c40d995c73ea00b130ec3</citedby><cites>FETCH-LOGICAL-c5047-d9d6b8f7c9eecf8e1804da37e91b2e7c0713f9a491e3c40d995c73ea00b130ec3</cites><orcidid>0000-0002-8775-6665 ; 0000-0001-8621-5392</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fcpp.2477$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fcpp.2477$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,780,784,885,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32415733$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Yin, Qianlan</creatorcontrib><creatorcontrib>Sun, Zhuoer</creatorcontrib><creatorcontrib>Liu, Tuanjie</creatorcontrib><creatorcontrib>Ni, Xiong</creatorcontrib><creatorcontrib>Deng, Xuanfeng</creatorcontrib><creatorcontrib>Jia, Yanpu</creatorcontrib><creatorcontrib>Shang, Zhilei</creatorcontrib><creatorcontrib>Zhou, Yaoguang</creatorcontrib><creatorcontrib>Liu, Weizhi</creatorcontrib><title>Posttraumatic stress symptoms of health care workers during the corona virus disease 2019</title><title>Clinical psychology and psychotherapy</title><addtitle>Clin Psychol Psychother</addtitle><description>Corona virus disease 2019 (COVID‐19) outbreak has attracted worldwide attention. The COVID‐19 outbreak is unique in its rapid transmission and results in heavy stress for the front‐line health care workers (HCWs). The current study aimed to exam posttraumatic stress symptoms (PTSSs) of HCWs fighting for the COVID‐19 and to evaluate their sleep quality after 1‐month stressful suffering. Three hundred seventy‐seven HCWs working in different provinces of China participated in the survey between February 1 and 5. The demographic information was collected first. Posttraumatic Stress Disorder Checklist for DSM‐5 (PCL‐5) and the Pittsburgh Sleep Quality Index (PSQI) were selected to measure PTSSs and sleep quality. Results showed that 1 month after the outbreak, the prevalence of PTSSs was 3.8% in HCWs. Female HCWs were more vulnerable to PTSSs with hazard ratio of 2.136 (95% CI = 1.388–3.286). HCWs with higher exposure level also significantly rated more hyperarousal symptoms (hazard ratio = 4.026, 95% CI = 1.233–13.140). There was a significant difference of sleep quality between participants with and without PTSSs (z value = 6.014, p < .001) and among different groups with various contact frequencies (chi‐square = 7.307, p = .026). Path analysis showed that there was a significant indirect effect from exposure level to PTSSs through sleep quality (coefficient = 1.750, 95% CI of Boostroop test = 0.543–2.998). In summary, targeted interventions on sleep contribute to the mental recovery during the outbreak of COVID‐19. Understanding the mental health response after a public health emergency might help HCWs and communities prepare for a population's response to disaster.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Betacoronavirus</subject><subject>Chi-square test</subject><subject>China - epidemiology</subject><subject>Coronavirus Infections - psychology</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>Cross-Sectional Studies</subject><subject>Female</subject><subject>Health care</subject><subject>health care workers (HCWs)</subject><subject>Health Personnel - psychology</subject><subject>Health Personnel - statistics & numerical data</subject><subject>Humans</subject><subject>Male</subject><subject>Medical personnel</subject><subject>Middle Aged</subject><subject>Outbreaks</subject><subject>Pandemics</subject><subject>Pneumonia, Viral - psychology</subject><subject>Post traumatic stress disorder</subject><subject>psychological guidance</subject><subject>PTSD</subject><subject>Public health</subject><subject>Quality</subject><subject>SARS-CoV-2</subject><subject>Sleep</subject><subject>sleep quality</subject><subject>Stress</subject><subject>Stress Disorders, Post-Traumatic - epidemiology</subject><subject>Stress Disorders, Post-Traumatic - prevention & control</subject><subject>Young Adult</subject><issn>1063-3995</issn><issn>1099-0879</issn><issn>1099-0879</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kU1v1DAQhi0Eoh8g8QuQJS5cUsZxNhNfkNCqFKRK7AEOnCyvM-m6JHHwJK323-OlpXxIyAdb40eP5tUrxAsFZwqgfOOn6aysEB-JYwXGFNCgeXx417rQxqyOxAnzNQAgNvhUHOmyUivU-lh83USe5-SWwc3BS54TMUveD9McB5axkzty_byT3iWStzF9o8SyXVIYr-S8I-ljiqOTNyEteR6YHJMsQZln4knneqbn9_ep-PL-_PP6Q3H56eLj-t1l4VdQYdGatt42HXpD5LuGVANV6zSSUduS0AMq3RlXGUXaV9DmNB41OYCt0kBen4q3d95p2Q7UehpznN5OKQwu7W10wf79M4advYo3FkussVZZ8PpekOL3hXi2Q2BPfe9GigvbsoJ8sK4wo6_-Qa_jksYcL1MKVlqhan4LfYrMibqHZRTYQ18292UPfWX05Z_LP4C_CspAcQfchp72_xXZ9WbzU_gDi42gGQ</recordid><startdate>202005</startdate><enddate>202005</enddate><creator>Yin, Qianlan</creator><creator>Sun, Zhuoer</creator><creator>Liu, Tuanjie</creator><creator>Ni, Xiong</creator><creator>Deng, Xuanfeng</creator><creator>Jia, Yanpu</creator><creator>Shang, Zhilei</creator><creator>Zhou, Yaoguang</creator><creator>Liu, Weizhi</creator><general>John Wiley and Sons, Limited</general><general>John Wiley and Sons Inc</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>7TK</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-8775-6665</orcidid><orcidid>https://orcid.org/0000-0001-8621-5392</orcidid></search><sort><creationdate>202005</creationdate><title>Posttraumatic stress symptoms of health care workers during the corona virus disease 2019</title><author>Yin, Qianlan ; Sun, Zhuoer ; Liu, Tuanjie ; Ni, Xiong ; Deng, Xuanfeng ; Jia, Yanpu ; Shang, Zhilei ; Zhou, Yaoguang ; Liu, Weizhi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5047-d9d6b8f7c9eecf8e1804da37e91b2e7c0713f9a491e3c40d995c73ea00b130ec3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Betacoronavirus</topic><topic>Chi-square test</topic><topic>China - epidemiology</topic><topic>Coronavirus Infections - psychology</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>Cross-Sectional Studies</topic><topic>Female</topic><topic>Health care</topic><topic>health care workers (HCWs)</topic><topic>Health Personnel - psychology</topic><topic>Health Personnel - statistics & numerical data</topic><topic>Humans</topic><topic>Male</topic><topic>Medical personnel</topic><topic>Middle Aged</topic><topic>Outbreaks</topic><topic>Pandemics</topic><topic>Pneumonia, Viral - psychology</topic><topic>Post traumatic stress disorder</topic><topic>psychological guidance</topic><topic>PTSD</topic><topic>Public health</topic><topic>Quality</topic><topic>SARS-CoV-2</topic><topic>Sleep</topic><topic>sleep quality</topic><topic>Stress</topic><topic>Stress Disorders, Post-Traumatic - epidemiology</topic><topic>Stress Disorders, Post-Traumatic - prevention & control</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yin, Qianlan</creatorcontrib><creatorcontrib>Sun, Zhuoer</creatorcontrib><creatorcontrib>Liu, Tuanjie</creatorcontrib><creatorcontrib>Ni, Xiong</creatorcontrib><creatorcontrib>Deng, Xuanfeng</creatorcontrib><creatorcontrib>Jia, Yanpu</creatorcontrib><creatorcontrib>Shang, Zhilei</creatorcontrib><creatorcontrib>Zhou, Yaoguang</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>Neurosciences Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Clinical psychology and psychotherapy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yin, Qianlan</au><au>Sun, Zhuoer</au><au>Liu, Tuanjie</au><au>Ni, Xiong</au><au>Deng, Xuanfeng</au><au>Jia, Yanpu</au><au>Shang, Zhilei</au><au>Zhou, Yaoguang</au><au>Liu, Weizhi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Posttraumatic stress symptoms of health care workers during the corona virus disease 2019</atitle><jtitle>Clinical psychology and psychotherapy</jtitle><addtitle>Clin Psychol Psychother</addtitle><date>2020-05</date><risdate>2020</risdate><volume>27</volume><issue>3</issue><spage>384</spage><epage>395</epage><pages>384-395</pages><issn>1063-3995</issn><issn>1099-0879</issn><eissn>1099-0879</eissn><abstract>Corona virus disease 2019 (COVID‐19) outbreak has attracted worldwide attention. The COVID‐19 outbreak is unique in its rapid transmission and results in heavy stress for the front‐line health care workers (HCWs). The current study aimed to exam posttraumatic stress symptoms (PTSSs) of HCWs fighting for the COVID‐19 and to evaluate their sleep quality after 1‐month stressful suffering. Three hundred seventy‐seven HCWs working in different provinces of China participated in the survey between February 1 and 5. The demographic information was collected first. Posttraumatic Stress Disorder Checklist for DSM‐5 (PCL‐5) and the Pittsburgh Sleep Quality Index (PSQI) were selected to measure PTSSs and sleep quality. Results showed that 1 month after the outbreak, the prevalence of PTSSs was 3.8% in HCWs. Female HCWs were more vulnerable to PTSSs with hazard ratio of 2.136 (95% CI = 1.388–3.286). HCWs with higher exposure level also significantly rated more hyperarousal symptoms (hazard ratio = 4.026, 95% CI = 1.233–13.140). There was a significant difference of sleep quality between participants with and without PTSSs (z value = 6.014, p < .001) and among different groups with various contact frequencies (chi‐square = 7.307, p = .026). Path analysis showed that there was a significant indirect effect from exposure level to PTSSs through sleep quality (coefficient = 1.750, 95% CI of Boostroop test = 0.543–2.998). In summary, targeted interventions on sleep contribute to the mental recovery during the outbreak of COVID‐19. Understanding the mental health response after a public health emergency might help HCWs and communities prepare for a population's response to disaster.</abstract><cop>England</cop><pub>John Wiley and Sons, Limited</pub><pmid>32415733</pmid><doi>10.1002/cpp.2477</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-8775-6665</orcidid><orcidid>https://orcid.org/0000-0001-8621-5392</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Adult Betacoronavirus Chi-square test China - epidemiology Coronavirus Infections - psychology Coronaviruses COVID-19 Cross-Sectional Studies Female Health care health care workers (HCWs) Health Personnel - psychology Health Personnel - statistics & numerical data Humans Male Medical personnel Middle Aged Outbreaks Pandemics Pneumonia, Viral - psychology Post traumatic stress disorder psychological guidance PTSD Public health Quality SARS-CoV-2 Sleep sleep quality Stress Stress Disorders, Post-Traumatic - epidemiology Stress Disorders, Post-Traumatic - prevention & control Young Adult |
title | Posttraumatic stress symptoms of health care workers during the corona virus disease 2019 |
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