Talevi Dalila, Pacitti Francesca, Costa Manuela, Rossi Alessandro, Collazzoni Alberto, Crescini Claudio, Rossi Rodolfo
Department of Biotechnological and Applied Clinical Sciences (DISCAB), University of L'Aquila, L'Aquila.
PhD Programme Tor Vergata University of Rome, Rome, Italy.
J Nerv Ment Dis. 2019 Oct;207(10):832-837. doi: 10.1097/NMD.0000000000001036.
Social functioning (SF) has mainly been studied in major psychoses in relation to symptom severity, but other factors may interfere with the achievement of a functional remission. The aim of this study is to explore interpersonal violence (IV), service engagement (SE), and social network (SN), together with demographics, as predictors of SF in a sample of subjects with severe mental illness (SMI). Consecutive adult inpatients were evaluated using self-report and clinician-rated questionnaires. Findings suggest that IV, SE, SN, male sex, and illness duration explained 39.1% of SF variance in people affected by SMI. IV was the strongest predictor, followed by sex and duration of illness. Lifetime expression of violence is a stronger predictor than lifetime exposure to violence. Positive SE and SN were found to predict SF, whereas age was not associated. This study underlines the need of other non-symptom-related variables for the comprehension of SF in mental disorders.
社会功能(SF)主要在重性精神病中与症状严重程度相关联进行研究,但其他因素可能会干扰功能缓解的实现。本研究的目的是探讨人际暴力(IV)、服务参与(SE)和社会网络(SN)以及人口统计学因素,作为严重精神疾病(SMI)患者样本中社会功能的预测因素。连续的成年住院患者使用自我报告和临床医生评定问卷进行评估。研究结果表明,人际暴力、服务参与、社会网络、男性性别和病程解释了严重精神疾病患者社会功能变异的39.1%。人际暴力是最强的预测因素,其次是性别和病程。终身暴力表达比终身暴力暴露是更强的预测因素。发现积极的服务参与和社会网络可预测社会功能,而年龄与之无关。本研究强调了理解精神障碍中的社会功能需要其他与症状无关的变量。