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Anxiety and Depression Among College Students During the COVID-19 Lockdown: A Cross-Sectional Survey in Jiangsu, China

BACKGROUND: This study aimed to explore the levels of anxiety and depression in a sample of home-quarantined college students to identify the risk factors for psychological distress during the COVID-19 lockdown. METHODS: A total of 1156 college students studying in Jiangsu, China, participated from...

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Autores principales: Qin, Banghui, Hu, Zhiqing, Liu, Wuqianhui, Sun, Yanjun, Wang, Yiping, Zhang, Huiying, Yang, Fan, He, Yuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10106787/
https://www.ncbi.nlm.nih.gov/pubmed/37077533
http://dx.doi.org/10.2147/RMHP.S404478
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author Qin, Banghui
Hu, Zhiqing
Liu, Wuqianhui
Sun, Yanjun
Wang, Yiping
Zhang, Huiying
Yang, Fan
He, Yuan
author_facet Qin, Banghui
Hu, Zhiqing
Liu, Wuqianhui
Sun, Yanjun
Wang, Yiping
Zhang, Huiying
Yang, Fan
He, Yuan
author_sort Qin, Banghui
collection PubMed
description BACKGROUND: This study aimed to explore the levels of anxiety and depression in a sample of home-quarantined college students to identify the risk factors for psychological distress during the COVID-19 lockdown. METHODS: A total of 1156 college students studying in Jiangsu, China, participated from August 5 to August 14. A structured questionnaire was used to collect data anonymously, including demographic characteristics, the generalized anxiety disorder-7 (GAD-7) questionnaire, the patient health questionnaire-9 (PHQ-9), a physical activity scale, and items related to COVID-19. The chi-square test and Fisher’s exact test were employed to establish the differences in levels of anxiety and depression across sociodemographic characteristics. Binary logistic regression was applied to measure the predictors of levels of anxiety and depression, and associations were considered significant at p <0.05. RESULTS: The estimates of anxiety and depression were 48.1% and 57.6%, respectively. The univariate analysis indicated a significant difference in anxiety levels across student grades, whether the student was an only child, the distance from the worst-hit areas, and physical activity/exercise intensity. Physical activity intensity and living in communities with infected people were statistically correlated with the level of depression. Binary logistic regression results indicated that the predictive factors for anxiety were living within a short distance from the worst-hit areas (10~20 km), engaging in higher education (graduate students), and low-intensity daily exercise. Factors statistically predicting depression symptoms were having siblings, a COVID-19 diagnosis in the community and low-intensity daily exercise. CONCLUSION: During outbreaks, students in an extremely stressful state are more likely to develop anxiety and depression, particularly postgraduates. Psychological interventions to reduce fears and encourage exercise should be available to home-quarantined college students. Students who live in the worst-hit areas and are not the only child in the family should be prioritized.
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spelling pubmed-101067872023-04-18 Anxiety and Depression Among College Students During the COVID-19 Lockdown: A Cross-Sectional Survey in Jiangsu, China Qin, Banghui Hu, Zhiqing Liu, Wuqianhui Sun, Yanjun Wang, Yiping Zhang, Huiying Yang, Fan He, Yuan Risk Manag Healthc Policy Original Research BACKGROUND: This study aimed to explore the levels of anxiety and depression in a sample of home-quarantined college students to identify the risk factors for psychological distress during the COVID-19 lockdown. METHODS: A total of 1156 college students studying in Jiangsu, China, participated from August 5 to August 14. A structured questionnaire was used to collect data anonymously, including demographic characteristics, the generalized anxiety disorder-7 (GAD-7) questionnaire, the patient health questionnaire-9 (PHQ-9), a physical activity scale, and items related to COVID-19. The chi-square test and Fisher’s exact test were employed to establish the differences in levels of anxiety and depression across sociodemographic characteristics. Binary logistic regression was applied to measure the predictors of levels of anxiety and depression, and associations were considered significant at p <0.05. RESULTS: The estimates of anxiety and depression were 48.1% and 57.6%, respectively. The univariate analysis indicated a significant difference in anxiety levels across student grades, whether the student was an only child, the distance from the worst-hit areas, and physical activity/exercise intensity. Physical activity intensity and living in communities with infected people were statistically correlated with the level of depression. Binary logistic regression results indicated that the predictive factors for anxiety were living within a short distance from the worst-hit areas (10~20 km), engaging in higher education (graduate students), and low-intensity daily exercise. Factors statistically predicting depression symptoms were having siblings, a COVID-19 diagnosis in the community and low-intensity daily exercise. CONCLUSION: During outbreaks, students in an extremely stressful state are more likely to develop anxiety and depression, particularly postgraduates. Psychological interventions to reduce fears and encourage exercise should be available to home-quarantined college students. Students who live in the worst-hit areas and are not the only child in the family should be prioritized. Dove 2023-04-12 /pmc/articles/PMC10106787/ /pubmed/37077533 http://dx.doi.org/10.2147/RMHP.S404478 Text en © 2023 Qin et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Qin, Banghui
Hu, Zhiqing
Liu, Wuqianhui
Sun, Yanjun
Wang, Yiping
Zhang, Huiying
Yang, Fan
He, Yuan
Anxiety and Depression Among College Students During the COVID-19 Lockdown: A Cross-Sectional Survey in Jiangsu, China
title Anxiety and Depression Among College Students During the COVID-19 Lockdown: A Cross-Sectional Survey in Jiangsu, China
title_full Anxiety and Depression Among College Students During the COVID-19 Lockdown: A Cross-Sectional Survey in Jiangsu, China
title_fullStr Anxiety and Depression Among College Students During the COVID-19 Lockdown: A Cross-Sectional Survey in Jiangsu, China
title_full_unstemmed Anxiety and Depression Among College Students During the COVID-19 Lockdown: A Cross-Sectional Survey in Jiangsu, China
title_short Anxiety and Depression Among College Students During the COVID-19 Lockdown: A Cross-Sectional Survey in Jiangsu, China
title_sort anxiety and depression among college students during the covid-19 lockdown: a cross-sectional survey in jiangsu, china
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10106787/
https://www.ncbi.nlm.nih.gov/pubmed/37077533
http://dx.doi.org/10.2147/RMHP.S404478
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