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...
Autores principales: | , , , , , , , , , , |
---|---|
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 |