ArticleSSM - population health2024
Network analysis of depression and anxiety symptoms and their associations with mobile phone addiction among Chinese medical students during the late stage of the COVID-19 pandemic.
Article in SSM - population health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 25 citations in OpenAlex.
- Identifying symptom communities and core symptoms in the anxiety-depression network among computer science students.Scientific reports · 2026Article
- Depressive symptoms precede and drive problematic smartphone use in Chinese medical students: a longitudinal network analysis.Frontiers in psychology · 2026Article
- Mobile phone dependency and subclinical depressive-anxiety symptom co-occurrence in college students: a cross-lagged panel network analysis.BMC public health · 2025Article
- Decisional procrastination and problematic mobile phone use: the mediation of anxiety and the moderation of 2019-nCoV traumatic experience.BMC psychology · 2025Article
- Moral Injury, Mental Disorders, and Suicidal Behavior Among Health Professionals During the COVID-19 Pandemic: A Network Analysis.Journal of religion and health · 2025Article
- Network analysis of anxiety and depressive symptoms among patients with cardiovascular disease.BMC public health · 2025Article
- Using network analysis to identify central symptoms of depression and anxiety in different profiles of infertility patients.BMC psychiatry · 2025Article
- A network analysis of anxiety and depression symptoms among empty nesters in China.Frontiers in psychology · 2025Article
- Mobile phone addiction and achievement motivation in Chinese medical students: the chain mediating effect of anxiety and depression symptoms.Frontiers in psychology · 2025Article
- Network analysis of stress and stigma symptoms and their associations with quality of life among Chinese female infertility patients.BMC women's health · 2024Article
- Cell phone addiction and sleep disturbance among medical students in Jiangsu Province, China: the mediating role of psychological resilience and the moderating role of gender.Frontiers in psychiatry · 2024Article
- Psychosomatic health status and corresponding comorbid network analysis of college students in traditional Chinese medicine schools.Frontiers in psychiatry · 2024Article
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Authors and funding
7 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Network analysis provides a novel approach to discovering associations between mental disorders at the symptom level. This study aimed to examine the characteristics of the network of depression and anxiety symptoms and their associations with mobile phone addiction (MPA) among Chinese medical students during the late stage of the COVID-19 pandemic. A total of 553 medical students were included. Depression and anxiety symptoms and MPA were measured by the nine-item Patient Health Questionnaire (PHQ-9), the seven-item Generalized Anxiety Disorder Scale (GAD-7), and the Mobile Phone Addiction Index (MPAI), respectively. Central and bridge symptoms were identified with centrality indices and bridge centrality indices. Network stability was examined using the case-dropping procedure. "Uncontrollable worry", "restlessness" and "nervousness" were the central symptoms in the depression and anxiety network. "Restlessness" and "motor" were the most central bridge symptoms linking depression and anxiety. "Concentration", "anhedonia" and "sleep" were most strongly associated with MPA. "Uncontrollable worry", "restlessness", "nervousness," and "motor" may be the symptoms for interventions to target in medical students with comorbid depression and anxiety. From a network perspective, depressive symptoms may be more important than anxiety symptoms in medical students with MPA.
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