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Impact of COVID-19 on psychological wellbeing
This cross-sectional study aims to record post-traumatic stress (PTS) and post-traumatic growth (PTG) of the general population of China during the first wave of COVID-19 spread. Method: An online survey was distributed in China during February and March 2020 to record the general population's...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Asociacion Espanola de Psicologia Conductual
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8350012/ https://www.ncbi.nlm.nih.gov/pubmed/34429728 http://dx.doi.org/10.1016/j.ijchp.2021.100252 |
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author | Zhao, Qing Sun, Xiaoxiao Xie, Fei Chen, Beijing Wang, Li Hu, Li Dai, Qin |
author_facet | Zhao, Qing Sun, Xiaoxiao Xie, Fei Chen, Beijing Wang, Li Hu, Li Dai, Qin |
author_sort | Zhao, Qing |
collection | PubMed |
description | This cross-sectional study aims to record post-traumatic stress (PTS) and post-traumatic growth (PTG) of the general population of China during the first wave of COVID-19 spread. Method: An online survey was distributed in China during February and March 2020 to record the general population's PTS (using the Post-traumatic Stress Disorder Checklist-Civilian Version, PCL-C) and PTG (using the Post-traumatic Growth Inventory, PTGI) due to COVID-19. Confirmatory Factor Analyses (CFAs) and a Two-Part Model (TPM) of regression analysis were conducted. Results: In total, 29,118 Chinese participants completed the survey (54.20% were in their 20s, 68% were males, and 60.30% had a university education). CFA results illustrated that bifactor models described the Chinese psychometric traits of PTS and PTG over the default models. Results of TPM suggested that female, low-educated, and middle-aged individuals were more vulnerable to PTS. Remarkably, mutual and positive correlations between the PTS and the PTG, though small in statistics, were observed through regression analyses. Conclusions: The current results presented new best-fit structural models, potential predictors, and valuable baseline information on the PTS and the PTG of the Chinese population in the context of COVID-19. |
format | Online Article Text |
id | pubmed-8350012 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Asociacion Espanola de Psicologia Conductual |
record_format | MEDLINE/PubMed |
spelling | pubmed-83500122021-08-23 Impact of COVID-19 on psychological wellbeing Zhao, Qing Sun, Xiaoxiao Xie, Fei Chen, Beijing Wang, Li Hu, Li Dai, Qin Int J Clin Health Psychol Original Article This cross-sectional study aims to record post-traumatic stress (PTS) and post-traumatic growth (PTG) of the general population of China during the first wave of COVID-19 spread. Method: An online survey was distributed in China during February and March 2020 to record the general population's PTS (using the Post-traumatic Stress Disorder Checklist-Civilian Version, PCL-C) and PTG (using the Post-traumatic Growth Inventory, PTGI) due to COVID-19. Confirmatory Factor Analyses (CFAs) and a Two-Part Model (TPM) of regression analysis were conducted. Results: In total, 29,118 Chinese participants completed the survey (54.20% were in their 20s, 68% were males, and 60.30% had a university education). CFA results illustrated that bifactor models described the Chinese psychometric traits of PTS and PTG over the default models. Results of TPM suggested that female, low-educated, and middle-aged individuals were more vulnerable to PTS. Remarkably, mutual and positive correlations between the PTS and the PTG, though small in statistics, were observed through regression analyses. Conclusions: The current results presented new best-fit structural models, potential predictors, and valuable baseline information on the PTS and the PTG of the Chinese population in the context of COVID-19. Asociacion Espanola de Psicologia Conductual 2021 2021-05-27 /pmc/articles/PMC8350012/ /pubmed/34429728 http://dx.doi.org/10.1016/j.ijchp.2021.100252 Text en © 2021 Asociación Española de Psicología Conductual. Published by Elsevier España, S.L.U. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original Article Zhao, Qing Sun, Xiaoxiao Xie, Fei Chen, Beijing Wang, Li Hu, Li Dai, Qin Impact of COVID-19 on psychological wellbeing |
title | Impact of COVID-19 on psychological wellbeing |
title_full | Impact of COVID-19 on psychological wellbeing |
title_fullStr | Impact of COVID-19 on psychological wellbeing |
title_full_unstemmed | Impact of COVID-19 on psychological wellbeing |
title_short | Impact of COVID-19 on psychological wellbeing |
title_sort | impact of covid-19 on psychological wellbeing |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8350012/ https://www.ncbi.nlm.nih.gov/pubmed/34429728 http://dx.doi.org/10.1016/j.ijchp.2021.100252 |
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