Dimension-level network structure linking depression, anxiety, stress, sleep problems, and problematic smartphone use among chinese medical students - Report - MDSpire
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Dimension-level network structure linking depression, anxiety, stress, sleep problems, and problematic smartphone use among chinese medical students
Network Analysis of Depression, Anxiety, Stress, Sleep Issues, and Excessive Smartphone Use Among Medical Students in China
Overview
This study investigates the interrelations among emotional distress, sleep problems, and problematic smartphone use in Chinese medical students. It identifies anxiety, stress, and sleep disturbance as central factors within these networks.
Background
Medical students face significant emotional and psychological stressors that can lead to mental health issues such as depression and anxiety. Sleep disturbances and problematic smartphone use are prevalent among this population, potentially exacerbating their emotional distress. Understanding these interconnections is crucial for developing targeted interventions.
Data Highlights
Finding
Percentage
Anxiety prevalence
39.89%
Depression prevalence
34.60%
Stress prevalence
15.58%
Sleep problems prevalence
23.42%
Problematic smartphone use prevalence
64.71%
Key Findings
Anxiety was the most prevalent emotional distress dimension among participants.
Problematic smartphone use was detected in 64.71% of the surveyed medical students.
Stress and withdrawal showed the highest strength in the DASS-MPAI network.
In the PSQI-MPAI network, withdrawal and inefficiency were identified as the strongest central nodes.
Bridge strength analysis highlighted sleep disturbance and anxiety as significant cross-domain nodes.
Clinical Implications
The findings suggest that addressing anxiety, stress, and sleep disturbances may be critical in managing the mental health of medical students. Future interventions could focus on these central nodes to improve overall well-being.
Conclusion
This study provides insights into the complex relationships among emotional distress, sleep issues, and smartphone use in medical students, highlighting areas for further research and potential intervention.
