Relations among coping style, and depression and anxiety symptoms in medical graduate students: a transdiagnostic network analysis

Medical graduate students are known to be susceptible to depression and anxiety, and coping style has been implicated in these pathogenic processes. However, the fine-grained pathways through which positive and negative coping styles (i.e., PCS and NCS) impact depression and anxiety remain unclear. This study aimed to use network analysis to investigate the associations among PCS/NCS, the individual symptoms of depression and anxiety, and their comorbidity among medical graduate students. Three regularized partial correlation networks were estimated based on cross-sectional data from 1582 medical graduate students, including PCS/NCS-depression, PCS/NCS-anxiety, and PCS/NCS-comorbidity networks. Bridge expected influence (BEI) values were calculated for each node within the three networks. The results showed the prevalence rates of mild or more severe depression and anxiety symptoms were 24.21