Network Structure of Interpersonal Sensitivity in Patients With Mood Disorders: A Network Analysis

Objective Interpersonal sensitivity, characterized by a heightened awareness of others’ behavior and emotions, is linked to mood disor-ders. However, current literature lacks a comprehensive analysis of how some items of the Interpersonal Sensitivity Measure (IPSM) in-terrelate and contribute to the overall construct. This study constructed a network for interpersonal sensitivity symptomatology to identify core IPSM items in patients with mood disorders. Methods The IPSM, a 36-item self-report scale, was utilized to evaluate interpersonal sensitivity symptoms in 837 participants (major depressive disorder [MDD], n=265; bipolar I disorder [BD I], n=126; and bipolar II disorder [BD II], n=446). We performed exploratory graph analysis, employing regularized partial correlation models to estimate the network structure. Centrality analysis identified core IPSM symptoms for each mood disorder group. Network comparison tests assessed structural differences between the MDD and BD subgroups. Results Network analysis detected five communities. Item 10 (“I worry about being criticized for things that I have said or done”) showed the highest value in strength. Multiple items on “Interpersonal Worry/Dependency” and “Low Self-Esteem” showed high strength centrality. Network structure invariance and global strength invariance test results indicated no significant differences between the MDD and BD subgroups. Conclusion Our findings emphasize the importance of addressing “Interpersonal Worry/Dependency” and “Low Self-Esteem” in the IPSM network among mood disorder patients based on core items of the network. Additionally, targeted treatments and comprehensive strategies in this aspect could be crucial for managing mood disorders.