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12-06-2023 | Empirical Research

The Longitudinal Features of Depressive Symptoms During the COVID-19 Pandemic Among Chinese College Students: A Network Perspective

Auteurs: Yue Zhao, Kaixin Liang, Diyang Qu, Yunhan He, Xiaoqi Wei, Xinli Chi

Gepubliceerd in: Journal of Youth and Adolescence | Uitgave 10/2023

Abstract

There is substantial evidence that the Corona Virus Disease 2019 (COVID-19) pandemic increased the risk of depressive symptoms among college students, but the long-term features of depressive symptoms on a symptom level have been poorly described. The current study investigated interaction patterns between depressive symptoms via network analysis. In this longitudinal study, participants included 860 Chinese college students (65.8% female; M_age = 20.6, SD_age = 1.8, range: 17–27) who completed a questionnaire at three-time points three months apart. Results demonstrated that fatigue was the most influential symptom, and the occurrence of fatigue could give rise to other depressive symptoms. In addition to predicting other symptoms, fatigue could be predicted by other symptoms in the measurement. The network structures were similar across time, suggesting that the overall interaction pattern of depressive symptoms was stable over the longitudinal course. These findings suggest that depressive symptoms during the COVID-19 period are associated with the presence of fatigue.

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Titel: The Longitudinal Features of Depressive Symptoms During the COVID-19 Pandemic Among Chinese College Students: A Network Perspective
Auteurs: Yue Zhao
Kaixin Liang
Diyang Qu
Yunhan He
Xiaoqi Wei
Xinli Chi
Publicatiedatum: 12-06-2023
Uitgeverij: Springer US
Gepubliceerd in: Journal of Youth and Adolescence / Uitgave 10/2023
Print ISSN: 0047-2891
Elektronisch ISSN: 1573-6601
DOI: https://doi.org/10.1007/s10964-023-01802-w

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