Clinical and Applied Psychology Unit, University of Sheffield, Sheffield S10 2TN, UK.
Rotherham Doncaster and South Humber NHS Foundation Trust, Rotherham S61 1HE, UK.
Int J Environ Res Public Health. 2022 Oct 24;19(21):13793. doi: 10.3390/ijerph192113793.
Due to the relevance of identity disturbance to personality disorder this study sought to complete a network analysis of a well validated measure of identity disturbance; the personality structure questionnaire (PSQ). A multi-site and cross-national methodology created an overall sample of = 1549. The global network structure of the PSQ was analysed and jointly estimated networks were compared across four subsamples (UK versus Italy, adults versus adolescents, clinical versus community and complex versus common presenting problems). Stability analyses assessed the robustness of identified networks. Results indicated that PSQ3 (unstable sense of self) and PSQ5 (mood variability) were the most central items in the global network structure. Network structures significantly differed between the UK and Italy. Centrality of items was largely consistent across subsamples. This study provides evidence of the potential network structure of identity disturbance and so guides clinicians in targeting interventions facilitating personality integration.
由于身份障碍与人格障碍密切相关，本研究试图对经过充分验证的身份障碍衡量标准——人格结构问卷（PSQ）进行网络分析。多地点和跨国方法创建了一个包含 = 1549 名参与者的总体样本。分析了 PSQ 的全局网络结构，并比较了四个子样本（英国与意大利、成人与青少年、临床与社区以及复杂与常见表现问题）的联合估计网络。稳定性分析评估了识别网络的稳健性。结果表明，PSQ3（不稳定的自我意识）和 PSQ5（情绪多变）是全球网络结构中最核心的项目。英国和意大利的网络结构存在显著差异。项目的中心度在各子样本中基本一致。本研究提供了身份障碍潜在网络结构的证据，从而指导临床医生针对促进人格整合的干预措施。
