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Profiles and predictors of mental health of university students in Hong Kong under the COVID-19 pandemic

This study investigated the mental health problems of university students in Hong Kong and related sociodemographic and psychosocial predictors under the pandemic. A total of 978 undergraduate students (mean age = 20.69 ± 1.61) completed an online questionnaire measuring sociodemographic factors, ps...

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Detalles Bibliográficos
Autores principales: Shek, Daniel T. L., Chai, Wenyu, Li, Xiang, Dou, Diya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10391639/
https://www.ncbi.nlm.nih.gov/pubmed/37533721
http://dx.doi.org/10.3389/fpsyg.2023.1211229
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author Shek, Daniel T. L.
Chai, Wenyu
Li, Xiang
Dou, Diya
author_facet Shek, Daniel T. L.
Chai, Wenyu
Li, Xiang
Dou, Diya
author_sort Shek, Daniel T. L.
collection PubMed
description This study investigated the mental health problems of university students in Hong Kong and related sociodemographic and psychosocial predictors under the pandemic. A total of 978 undergraduate students (mean age = 20.69 ± 1.61) completed an online questionnaire measuring sociodemographic factors, psychological morbidity, positive well-being, COVID-19 related stress and self-efficacy, and positive psychosocial attributes. Psychosocial risk factors included psychological morbidity, COVID-19 related stress, and difficulties encountered under the pandemic, whereas protective factors comprised pandemic related self-efficacy, positive psychological attributes, positive environmental factors, need satisfaction and positive perception toward service. Results showed that psychological morbidity in the participants was widespread, and it was related to sociodemographic factors, particularly family financial difficulties. While pandemic related stress positively predicted psychological morbidity and negatively predicted well-being indicators, COVID-19 self-efficacy showed an opposite effect. Besides, positive psychological attributes (resilience, emotional competence, and positive beliefs related to adversity) and environmental factors (healthy family functioning, peer support, and supportive community atmosphere) negatively predicted psychological morbidity and positively predicted well-being. Furthermore, need satisfaction and positive perception toward service were negatively associated with psychological morbidity and positively associated with well-being, while perceived difficulties showed an opposite effect.
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spelling pubmed-103916392023-08-02 Profiles and predictors of mental health of university students in Hong Kong under the COVID-19 pandemic Shek, Daniel T. L. Chai, Wenyu Li, Xiang Dou, Diya Front Psychol Psychology This study investigated the mental health problems of university students in Hong Kong and related sociodemographic and psychosocial predictors under the pandemic. A total of 978 undergraduate students (mean age = 20.69 ± 1.61) completed an online questionnaire measuring sociodemographic factors, psychological morbidity, positive well-being, COVID-19 related stress and self-efficacy, and positive psychosocial attributes. Psychosocial risk factors included psychological morbidity, COVID-19 related stress, and difficulties encountered under the pandemic, whereas protective factors comprised pandemic related self-efficacy, positive psychological attributes, positive environmental factors, need satisfaction and positive perception toward service. Results showed that psychological morbidity in the participants was widespread, and it was related to sociodemographic factors, particularly family financial difficulties. While pandemic related stress positively predicted psychological morbidity and negatively predicted well-being indicators, COVID-19 self-efficacy showed an opposite effect. Besides, positive psychological attributes (resilience, emotional competence, and positive beliefs related to adversity) and environmental factors (healthy family functioning, peer support, and supportive community atmosphere) negatively predicted psychological morbidity and positively predicted well-being. Furthermore, need satisfaction and positive perception toward service were negatively associated with psychological morbidity and positively associated with well-being, while perceived difficulties showed an opposite effect. Frontiers Media S.A. 2023-07-18 /pmc/articles/PMC10391639/ /pubmed/37533721 http://dx.doi.org/10.3389/fpsyg.2023.1211229 Text en Copyright © 2023 Shek, Chai, Li and Dou. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Shek, Daniel T. L.
Chai, Wenyu
Li, Xiang
Dou, Diya
Profiles and predictors of mental health of university students in Hong Kong under the COVID-19 pandemic
title Profiles and predictors of mental health of university students in Hong Kong under the COVID-19 pandemic
title_full Profiles and predictors of mental health of university students in Hong Kong under the COVID-19 pandemic
title_fullStr Profiles and predictors of mental health of university students in Hong Kong under the COVID-19 pandemic
title_full_unstemmed Profiles and predictors of mental health of university students in Hong Kong under the COVID-19 pandemic
title_short Profiles and predictors of mental health of university students in Hong Kong under the COVID-19 pandemic
title_sort profiles and predictors of mental health of university students in hong kong under the covid-19 pandemic
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10391639/
https://www.ncbi.nlm.nih.gov/pubmed/37533721
http://dx.doi.org/10.3389/fpsyg.2023.1211229
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