ArticleBMC psychology2025
Network analysis of comorbid depression and anxiety and their associations with academic engagement among medical students in the Post-Peak COVID-19 period in China.
Article in BMC psychology, 2025. 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.
- Self-Efficacy, Psychological State, Oral Health Behaviour, and Oral Health-Related Quality of Life in Chinese Patients With Periodontal Disease.International dental journal · 2026Article
- Exploring the network structure and lived experiences of preoperative fear in patients with esophageal cancer: a convergent mixed-methods study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- Heterogeneous profiles of virtue personality trait in anxiety-depression symptom networks and simulated intervention effects: evidence from a large college student sample.BMC psychology · 2026Article
- A Network Analysis of Smartphone Addiction, Depression, Anxiety, Fatigue, Sleep, and Learning Engagement in Nursing Students: A Cross-Sectional Study.Healthcare (Basel, Switzerland) · 2026Article
- Symptoms of anxiety and depression in informal caregivers of persons with dementia: a latent profile analysis and computer-simulated network analysis.BMC geriatrics · 2026Article
- Pathways for the precise prevention and improvement of mental health among university freshmen: a network analysis and simulated intervention study based on the biopsychosocial model.Frontiers in psychology · 2026Article
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12 authors.
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Abstract
backgroundMedical students frequently face mental health challenges, underscoring the need for prompt identification and intervention. This research is designed to explore the interconnections between depression, anxiety, and academic engagement among medical students in the Post-Peak COVID-19 in China, employing a network analysis approach.
methodIn this research, 928 medical students were enrolled. Depression, anxiety, and academic engagement were measured using the nine-item Patient Health Questionnaire, the seven-item Generalized Anxiety Disorder Scale, and the Utrecht Work Engagement Scale for Students, respectively. Central and bridge symptoms were evaluated by the Expected Influence (EI) and bridge EI. The Network Comparison Test was utilized to assess the variability in depression and anxiety symptom associations across gender and residency.
resultsIn the depression and anxiety network, “Fatigue”, “Guilt”, and “Difficulty relaxing” were the central symptoms. “Sad mood”, “Irritability”, and “Feeling afraid” served as the primary bridge symptoms. “Concentration”, “Anhedonia” and “Motor” exhibited the most robust correlations with academic engagement. Gender and residency did not correlate with global strength and edge weights.
conclusionThe findings showed the complex interplay between depression, anxiety, and academic engagement during the Post-Peak COVID-19 period among Chinese medical students. Future interventions should focus on addressing the central and bridge symptoms within medical students, aiming to improve their mental health outcomes.
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