ArticleRisk management and healthcare policy2023
Anxiety and Depression Among College Students During the COVID-19 Lockdown: A Cross-Sectional Survey in Jiangsu, China.
Article in Risk management and healthcare policy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Subthreshold anxiety in Chinese college students: prevalence, gender differences, and correlates.BMC psychology · 2025Article
- Understanding the Nexus Between Anxiety and Acoustic Perception in University Students: A Quasi-Experimental Study During Pandemic-Induced Lockdown.Behavioral sciences (Basel, Switzerland) · 2025Article
- Trends and factors influencing the mental health of college students in the post-pandemic: four consecutive cross-sectional surveys.Frontiers in psychology · 2024Article
- Depression Takes a Toll on Academic Performance: Evidence from Rural Students in China.Risk management and healthcare policy · 2024Article
- Article
- Cross-Sectional Analysis of Colombian University Students' Perceptions of Mental Health during the COVID-19 Pandemic: Repercussions on Academic Achievement.Healthcare (Basel, Switzerland) · 2023Article
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Abstract
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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