Cargando…

The prevalence and risk factors of PTSD symptoms among medical assistance workers during the COVID-19 pandemic

BACKGROUND: The outbreak of COVID 19 in December 2019 spread quickly and overwhelmed the local healthcare system of the epicenter. A total of 346 medical assistance teams with 42,600 reserve medics were mobilized from around the country for emergency assistance. This study aims to examine the incide...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Xueyuan, Li, Shijian, Xiang, Mi, Fang, Yue, Qian, Kun, Xu, Jiawei, Li, Jiahui, Zhang, Zhiruo, Wang, Bing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Published by Elsevier Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7536549/
https://www.ncbi.nlm.nih.gov/pubmed/33070044
http://dx.doi.org/10.1016/j.jpsychores.2020.110270
_version_ 1783590592840728576
author Li, Xueyuan
Li, Shijian
Xiang, Mi
Fang, Yue
Qian, Kun
Xu, Jiawei
Li, Jiahui
Zhang, Zhiruo
Wang, Bing
author_facet Li, Xueyuan
Li, Shijian
Xiang, Mi
Fang, Yue
Qian, Kun
Xu, Jiawei
Li, Jiahui
Zhang, Zhiruo
Wang, Bing
author_sort Li, Xueyuan
collection PubMed
description BACKGROUND: The outbreak of COVID 19 in December 2019 spread quickly and overwhelmed the local healthcare system of the epicenter. A total of 346 medical assistance teams with 42,600 reserve medics were mobilized from around the country for emergency assistance. This study aims to examine the incidence of mental health symptoms and predictors of Post-Traumatic Stress Disorders (PTSD) symptoms among the reserve medics working in Wuhan, the capital city of Hubei Province. METHODS: An anonymous survey was conducted from April 4–6, 2020 among the medics upon their returning home. A total of 225 surveys were returned with a response rate of 83%. The survey consisted of questionnaires about the medics' demographic information, social relations, mental health status (e.g. IES-R and DASS-21) and other work-related information. Mann-Whitney U Test, Kruskal-Wallis Test and hierarchical logistic regression models were used to examine the predictors of PTSD symptoms. RESULTS: During the stay in Wuhan, the medics experienced high levels of depression (46.7%), anxiety (35.6%) and stress symptoms (16.0%). Upon returning home, the overall prevalence of clinically concerned PTSD symptoms was as high as 31.6%. Further analyses revealed that PTSD symptoms and its subscales were significantly associated with age, collegial relationship and mental health status during their service. CONCLUSION: The reserve medics reported a high prevalence of depression, anxiety and stress as well as clinically concerned PTSD symptoms. Comprehensive screening and intervention programs should be in place to help reserve medics cope with mental health challenges and build resilience during the COVID 19 pandemic.
format Online
Article
Text
id pubmed-7536549
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Published by Elsevier Inc.
record_format MEDLINE/PubMed
spelling pubmed-75365492020-10-06 The prevalence and risk factors of PTSD symptoms among medical assistance workers during the COVID-19 pandemic Li, Xueyuan Li, Shijian Xiang, Mi Fang, Yue Qian, Kun Xu, Jiawei Li, Jiahui Zhang, Zhiruo Wang, Bing J Psychosom Res Article BACKGROUND: The outbreak of COVID 19 in December 2019 spread quickly and overwhelmed the local healthcare system of the epicenter. A total of 346 medical assistance teams with 42,600 reserve medics were mobilized from around the country for emergency assistance. This study aims to examine the incidence of mental health symptoms and predictors of Post-Traumatic Stress Disorders (PTSD) symptoms among the reserve medics working in Wuhan, the capital city of Hubei Province. METHODS: An anonymous survey was conducted from April 4–6, 2020 among the medics upon their returning home. A total of 225 surveys were returned with a response rate of 83%. The survey consisted of questionnaires about the medics' demographic information, social relations, mental health status (e.g. IES-R and DASS-21) and other work-related information. Mann-Whitney U Test, Kruskal-Wallis Test and hierarchical logistic regression models were used to examine the predictors of PTSD symptoms. RESULTS: During the stay in Wuhan, the medics experienced high levels of depression (46.7%), anxiety (35.6%) and stress symptoms (16.0%). Upon returning home, the overall prevalence of clinically concerned PTSD symptoms was as high as 31.6%. Further analyses revealed that PTSD symptoms and its subscales were significantly associated with age, collegial relationship and mental health status during their service. CONCLUSION: The reserve medics reported a high prevalence of depression, anxiety and stress as well as clinically concerned PTSD symptoms. Comprehensive screening and intervention programs should be in place to help reserve medics cope with mental health challenges and build resilience during the COVID 19 pandemic. Published by Elsevier Inc. 2020-12 2020-10-06 /pmc/articles/PMC7536549/ /pubmed/33070044 http://dx.doi.org/10.1016/j.jpsychores.2020.110270 Text en © 2020 Published by Elsevier Inc. 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
Li, Xueyuan
Li, Shijian
Xiang, Mi
Fang, Yue
Qian, Kun
Xu, Jiawei
Li, Jiahui
Zhang, Zhiruo
Wang, Bing
The prevalence and risk factors of PTSD symptoms among medical assistance workers during the COVID-19 pandemic
title The prevalence and risk factors of PTSD symptoms among medical assistance workers during the COVID-19 pandemic
title_full The prevalence and risk factors of PTSD symptoms among medical assistance workers during the COVID-19 pandemic
title_fullStr The prevalence and risk factors of PTSD symptoms among medical assistance workers during the COVID-19 pandemic
title_full_unstemmed The prevalence and risk factors of PTSD symptoms among medical assistance workers during the COVID-19 pandemic
title_short The prevalence and risk factors of PTSD symptoms among medical assistance workers during the COVID-19 pandemic
title_sort prevalence and risk factors of ptsd symptoms among medical assistance workers during the covid-19 pandemic
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7536549/
https://www.ncbi.nlm.nih.gov/pubmed/33070044
http://dx.doi.org/10.1016/j.jpsychores.2020.110270
work_keys_str_mv AT lixueyuan theprevalenceandriskfactorsofptsdsymptomsamongmedicalassistanceworkersduringthecovid19pandemic
AT lishijian theprevalenceandriskfactorsofptsdsymptomsamongmedicalassistanceworkersduringthecovid19pandemic
AT xiangmi theprevalenceandriskfactorsofptsdsymptomsamongmedicalassistanceworkersduringthecovid19pandemic
AT fangyue theprevalenceandriskfactorsofptsdsymptomsamongmedicalassistanceworkersduringthecovid19pandemic
AT qiankun theprevalenceandriskfactorsofptsdsymptomsamongmedicalassistanceworkersduringthecovid19pandemic
AT xujiawei theprevalenceandriskfactorsofptsdsymptomsamongmedicalassistanceworkersduringthecovid19pandemic
AT lijiahui theprevalenceandriskfactorsofptsdsymptomsamongmedicalassistanceworkersduringthecovid19pandemic
AT zhangzhiruo theprevalenceandriskfactorsofptsdsymptomsamongmedicalassistanceworkersduringthecovid19pandemic
AT wangbing theprevalenceandriskfactorsofptsdsymptomsamongmedicalassistanceworkersduringthecovid19pandemic
AT lixueyuan prevalenceandriskfactorsofptsdsymptomsamongmedicalassistanceworkersduringthecovid19pandemic
AT lishijian prevalenceandriskfactorsofptsdsymptomsamongmedicalassistanceworkersduringthecovid19pandemic
AT xiangmi prevalenceandriskfactorsofptsdsymptomsamongmedicalassistanceworkersduringthecovid19pandemic
AT fangyue prevalenceandriskfactorsofptsdsymptomsamongmedicalassistanceworkersduringthecovid19pandemic
AT qiankun prevalenceandriskfactorsofptsdsymptomsamongmedicalassistanceworkersduringthecovid19pandemic
AT xujiawei prevalenceandriskfactorsofptsdsymptomsamongmedicalassistanceworkersduringthecovid19pandemic
AT lijiahui prevalenceandriskfactorsofptsdsymptomsamongmedicalassistanceworkersduringthecovid19pandemic
AT zhangzhiruo prevalenceandriskfactorsofptsdsymptomsamongmedicalassistanceworkersduringthecovid19pandemic
AT wangbing prevalenceandriskfactorsofptsdsymptomsamongmedicalassistanceworkersduringthecovid19pandemic