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; Mage = 20.6, SDage = 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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This research was supported by the Guangdong Basic and Applied Basic Research Foundation (grant numbers 2021A1515011330), Shenzhen Education Science Planning Project (grant number cgpy21001) and Shenzhen University-Lingnan University Joint Research Programme (grant number 202202001).
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Y.Z. conceived of the study, participated in its data curation, code writing, performed the statistical analysis and drafted the original manuscript; K.L. participated data curation, validation, and helped to draft the manuscript; D.Q. participated in the code writing, performed the statistical analysis, and helped to draft the manuscript; Y.H. performed the statistical analysis, and participated in the validation; X.Q. helped to draft the manuscript; X.C. conceived of the study, and participated in its design and coordination, provided research funding, and helped to draft the manuscript. All authors read and approved the final manuscript.
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Zhao, Y., Liang, K., Qu, D. et al. The Longitudinal Features of Depressive Symptoms During the COVID-19 Pandemic Among Chinese College Students: A Network Perspective. J. Youth Adolescence 52, 2031–2044 (2023). https://doi.org/10.1007/s10964-023-01802-w
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DOI: https://doi.org/10.1007/s10964-023-01802-w