ArticleJournal of youth and adolescence2023
The Longitudinal Features of Depressive Symptoms During the COVID-19 Pandemic Among Chinese College Students: A Network Perspective.
Article in Journal of youth and adolescence, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed.
- Fatigue as a central bridge: temporal dynamics between problematic smartphone use and depressive symptoms in Chinese adolescents.Child and adolescent psychiatry and mental health · 2025Article
- Network Analysis of Basic Psychological Need Frustration and Depressive Symptoms Among Adolescents: A Longitudinal Study.Research on child and adolescent psychopathology · 2025Article
- Core Symptoms and Dynamic Interactions of Depressive Symptoms in Older Chinese Adults: A Longitudinal Network Analysis.Depression and anxiety · 2025Article
- Gender Difference in the Onset of Adolescent Depressive Symptoms: A Cross-Lagged Panel Network Analysis.Research on child and adolescent psychopathology · 2025Article
- Understanding the complex network of anxiety, depression, sleep problems, and smartphone addiction among college art students using network analysis.Frontiers in psychiatry · 2025Article
- Exploring the interconnections of anxiety, depression, sleep problems and health-promoting lifestyles among Chinese university students: a comprehensive network approach.Frontiers in psychiatry · 2024Article
- Machine learning models predict the emergence of depression in Argentinean college students during periods of COVID-19 quarantine.Frontiers in psychiatry · 2024Article
Corrections and comments
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Authors and funding
6 authors.
Funding
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
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.