Cargando…

Prevalence and Predictors of PTSD During the Initial Stage of COVID-19 Epidemic among Female College Students in China

BACKGROUND: College students are vulnerable and may experience high stress due to COVID-19, especially girls. This study aims to identify posttraumatic stress disorder (PTSD) and related factors among the target population during the initial phases of the COVID-19 pandemic. METHODS: In the initial p...

Descripción completa

Detalles Bibliográficos
Autores principales: Si, Ming-Yu, Su, Xiao-You, Jiang, Yu, Wang, Wen-Jun, Gu, Xiao-Fen, Ma, Li, Li, Jing, Zhang, Shao-Kai, Ren, Ze-Fang, Liu, Yuan-Li, Qiao, You-Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8721690/
https://www.ncbi.nlm.nih.gov/pubmed/34933595
http://dx.doi.org/10.1177/00469580211059953
_version_ 1784625393000513536
author Si, Ming-Yu
Su, Xiao-You
Jiang, Yu
Wang, Wen-Jun
Gu, Xiao-Fen
Ma, Li
Li, Jing
Zhang, Shao-Kai
Ren, Ze-Fang
Liu, Yuan-Li
Qiao, You-Lin
author_facet Si, Ming-Yu
Su, Xiao-You
Jiang, Yu
Wang, Wen-Jun
Gu, Xiao-Fen
Ma, Li
Li, Jing
Zhang, Shao-Kai
Ren, Ze-Fang
Liu, Yuan-Li
Qiao, You-Lin
author_sort Si, Ming-Yu
collection PubMed
description BACKGROUND: College students are vulnerable and may experience high stress due to COVID-19, especially girls. This study aims to identify posttraumatic stress disorder (PTSD) and related factors among the target population during the initial phases of the COVID-19 pandemic. METHODS: In the initial phase of COVID-19 epidemic (February 23 to March 5, 2020), 2205 female college students from six provinces in mainland China were enrolled in this study and completed the online survey about the cognitive status of COVID-19, including the Impact of Event Scale-6, the Multidimensional Perceived Social Support Scale and a self-developed 10-item Perceived threat scale. Univariate and multivariate logistic regression were performed using SPSS software to explore the determinants of PTSD symptoms. RESULTS: PTSD symptoms were prevalent in female college students, and 34.20% met the cut-off for PTSD. Self-reported fair or poor health (AOR = 1.78, 95% CI: 1.22-2.59), high concern about COVID-19 (AOR = 1.66, 95% CI: 1.35-2.03), beliefs that “COVID-19 can cause a global outbreak” (AOR = 1.26, 95% CI: 1.02-1.56), the perception of “risk of infection” (AOR = 2.46, 95% CI: 2.16–2.81), beliefs that “closed management” and “COVID-19 as a public health emergency of international concern” would have an impact, and the fear of “impact on life planning” were all positively associated with PTSD (AOR = 1.37, 1.22, and 1.29, respectively); however, perceived social support from family (AOR = 0.81, 95% CI: 0.70-0.93) was negatively associated with PTSD. Among the significant variables at the bivariate level, multivariate logistic regression revealed that the greatest protector for PTSD was the high knowledge score (AOR = 0.73, 95% CI: 0.60–0.90), while had confirmed cases among relatives and friends (AOR = 7.70, 95% CI: 1.28-46.25) was the strongest predictor of PTSD. CONCLUSIONS: In summary, PTSD symptoms were prevalent among female college students in China during the COVID-19 epidemic. Targeting vulnerable populations to improve their knowledge about COVID-19 and create an atmosphere of social support would be beneficial. Moreover, the joint efforts from family, school administrators, and policymakers are essential to improve the mental health of the female students during the COVID-19 epidemic.
format Online
Article
Text
id pubmed-8721690
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher SAGE Publications
record_format MEDLINE/PubMed
spelling pubmed-87216902022-01-04 Prevalence and Predictors of PTSD During the Initial Stage of COVID-19 Epidemic among Female College Students in China Si, Ming-Yu Su, Xiao-You Jiang, Yu Wang, Wen-Jun Gu, Xiao-Fen Ma, Li Li, Jing Zhang, Shao-Kai Ren, Ze-Fang Liu, Yuan-Li Qiao, You-Lin Inquiry Original Research BACKGROUND: College students are vulnerable and may experience high stress due to COVID-19, especially girls. This study aims to identify posttraumatic stress disorder (PTSD) and related factors among the target population during the initial phases of the COVID-19 pandemic. METHODS: In the initial phase of COVID-19 epidemic (February 23 to March 5, 2020), 2205 female college students from six provinces in mainland China were enrolled in this study and completed the online survey about the cognitive status of COVID-19, including the Impact of Event Scale-6, the Multidimensional Perceived Social Support Scale and a self-developed 10-item Perceived threat scale. Univariate and multivariate logistic regression were performed using SPSS software to explore the determinants of PTSD symptoms. RESULTS: PTSD symptoms were prevalent in female college students, and 34.20% met the cut-off for PTSD. Self-reported fair or poor health (AOR = 1.78, 95% CI: 1.22-2.59), high concern about COVID-19 (AOR = 1.66, 95% CI: 1.35-2.03), beliefs that “COVID-19 can cause a global outbreak” (AOR = 1.26, 95% CI: 1.02-1.56), the perception of “risk of infection” (AOR = 2.46, 95% CI: 2.16–2.81), beliefs that “closed management” and “COVID-19 as a public health emergency of international concern” would have an impact, and the fear of “impact on life planning” were all positively associated with PTSD (AOR = 1.37, 1.22, and 1.29, respectively); however, perceived social support from family (AOR = 0.81, 95% CI: 0.70-0.93) was negatively associated with PTSD. Among the significant variables at the bivariate level, multivariate logistic regression revealed that the greatest protector for PTSD was the high knowledge score (AOR = 0.73, 95% CI: 0.60–0.90), while had confirmed cases among relatives and friends (AOR = 7.70, 95% CI: 1.28-46.25) was the strongest predictor of PTSD. CONCLUSIONS: In summary, PTSD symptoms were prevalent among female college students in China during the COVID-19 epidemic. Targeting vulnerable populations to improve their knowledge about COVID-19 and create an atmosphere of social support would be beneficial. Moreover, the joint efforts from family, school administrators, and policymakers are essential to improve the mental health of the female students during the COVID-19 epidemic. SAGE Publications 2021-12-21 /pmc/articles/PMC8721690/ /pubmed/34933595 http://dx.doi.org/10.1177/00469580211059953 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research
Si, Ming-Yu
Su, Xiao-You
Jiang, Yu
Wang, Wen-Jun
Gu, Xiao-Fen
Ma, Li
Li, Jing
Zhang, Shao-Kai
Ren, Ze-Fang
Liu, Yuan-Li
Qiao, You-Lin
Prevalence and Predictors of PTSD During the Initial Stage of COVID-19 Epidemic among Female College Students in China
title Prevalence and Predictors of PTSD During the Initial Stage of COVID-19 Epidemic among Female College Students in China
title_full Prevalence and Predictors of PTSD During the Initial Stage of COVID-19 Epidemic among Female College Students in China
title_fullStr Prevalence and Predictors of PTSD During the Initial Stage of COVID-19 Epidemic among Female College Students in China
title_full_unstemmed Prevalence and Predictors of PTSD During the Initial Stage of COVID-19 Epidemic among Female College Students in China
title_short Prevalence and Predictors of PTSD During the Initial Stage of COVID-19 Epidemic among Female College Students in China
title_sort prevalence and predictors of ptsd during the initial stage of covid-19 epidemic among female college students in china
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8721690/
https://www.ncbi.nlm.nih.gov/pubmed/34933595
http://dx.doi.org/10.1177/00469580211059953
work_keys_str_mv AT simingyu prevalenceandpredictorsofptsdduringtheinitialstageofcovid19epidemicamongfemalecollegestudentsinchina
AT suxiaoyou prevalenceandpredictorsofptsdduringtheinitialstageofcovid19epidemicamongfemalecollegestudentsinchina
AT jiangyu prevalenceandpredictorsofptsdduringtheinitialstageofcovid19epidemicamongfemalecollegestudentsinchina
AT wangwenjun prevalenceandpredictorsofptsdduringtheinitialstageofcovid19epidemicamongfemalecollegestudentsinchina
AT guxiaofen prevalenceandpredictorsofptsdduringtheinitialstageofcovid19epidemicamongfemalecollegestudentsinchina
AT mali prevalenceandpredictorsofptsdduringtheinitialstageofcovid19epidemicamongfemalecollegestudentsinchina
AT lijing prevalenceandpredictorsofptsdduringtheinitialstageofcovid19epidemicamongfemalecollegestudentsinchina
AT zhangshaokai prevalenceandpredictorsofptsdduringtheinitialstageofcovid19epidemicamongfemalecollegestudentsinchina
AT renzefang prevalenceandpredictorsofptsdduringtheinitialstageofcovid19epidemicamongfemalecollegestudentsinchina
AT liuyuanli prevalenceandpredictorsofptsdduringtheinitialstageofcovid19epidemicamongfemalecollegestudentsinchina
AT qiaoyoulin prevalenceandpredictorsofptsdduringtheinitialstageofcovid19epidemicamongfemalecollegestudentsinchina