Kim Yuna, Jang Junwoo, Kang Hyo Shin, Lee Jakyung, Lee Daseul, Yu Hyeona, Jang Yoonjeong, Yoon Joohyun, Lee Hyukjun, Ha Tae Hyon, Park Jungkyu, Myung Woojae
Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Department of Psychology, Kyungpook National University, Daegu, Republic of Korea.
Psychiatry Investig. 2024 Sep;21(9):1016-1024. doi: 10.30773/pi.2023.0411. Epub 2024 Sep 3.
Interpersonal sensitivity, characterized by a heightened awareness of others' behavior and emotions, is linked to mood disorders. However, current literature lacks a comprehensive analysis of how some items of the Interpersonal Sensitivity Measure (IPSM) interrelate 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.
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.
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.
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.
人际敏感性表现为对他人行为和情绪的高度觉知，与情绪障碍有关。然而，当前文献缺乏对人际敏感性量表（IPSM）的某些条目如何相互关联并构成整体结构的全面分析。本研究构建了人际敏感性症状网络，以识别情绪障碍患者的核心IPSM条目。
采用36个条目的IPSM自评量表评估837名参与者（重度抑郁症[MDD]，n = 265；双相I型障碍[BD I]，n = 126；双相II型障碍[BD II]，n = 446）的人际敏感性症状。我们进行了探索性图分析，采用正则化偏相关模型估计网络结构。中心性分析确定了每个情绪障碍组的核心IPSM症状。网络比较测试评估了MDD和BD亚组之间的结构差异。
网络分析检测到五个群落。条目10（“我担心因自己说过或做过的事情而受到批评”）的强度值最高。多个关于“人际担忧/依赖”和“低自尊”的条目显示出较高的强度中心性。网络结构不变性和全局强度不变性测试结果表明，MDD和BD亚组之间没有显著差异。
我们的研究结果强调了基于网络核心条目，在情绪障碍患者的IPSM网络中处理“人际担忧/依赖”和“低自尊”的重要性。此外，这方面的针对性治疗和综合策略对于管理情绪障碍可能至关重要。
