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社交孤立是否预示着精神病样体验的出现?来自经验采样法研究的结果。

Does social isolation predict the emergence of psychotic-like experiences? Results from the experience sampling method study.

机构信息

Department of Psychiatry, Wroclaw Medical University, Wroclaw, Poland.

Department of Psychiatry, Wroclaw Medical University, Wroclaw, Poland.

出版信息

Compr Psychiatry. 2024 Nov;135:152521. doi: 10.1016/j.comppsych.2024.152521. Epub 2024 Jul 30.

Abstract

BACKGROUND

Several studies have shown that social isolation and loneliness are associated with the occurrence of psychotic experiences. However, dynamics of these phenomena in people with subclinical experiences, commonly referred to as psychotic-like experiences (PLEs), remains largely unknown. Therefore, in this study we performed a temporal network analysis to model dynamic predictions between social isolation, loneliness, negative affect, social stress, and PLEs.

METHODS

A total of 77 drug-naïve individuals with PLEs from a transdiagnostic sample were enrolled. Data were obtained using the experience sampling method (ESM). The ESM questionnaires were delivered during 7 consecutive days (6 assessments per day). Therefore, 3234 data entries were analyzed.

RESULTS

Social isolation predicted next-moment emergence of PLEs through the effects on loneliness and negative affect. Also, PLEs appeared to predict next-moment loneliness, but not social isolation, through the effects on negative affect. Social stress did not predict any variables in the network. However, it was predicted by previous-moment PLEs and social isolation. Negative affect had the highest in-strength and out-strength centrality.

CONCLUSIONS

Findings from the present study indicate that social isolation might predict the emergence of PLEs through the effects of momentary loneliness and negative affect. Also, loneliness might be bidirectionally associated with PLEs. Interventions targeting negative affect and social isolation might be beneficial in people with PLEs.

摘要

背景

多项研究表明,社会隔离和孤独感与出现精神病性体验有关。然而,亚临床体验人群(通常称为类精神病体验)中这些现象的动态变化仍知之甚少。因此,在这项研究中,我们进行了时间网络分析,以对社会隔离、孤独感、负性情绪、社会压力和类精神病体验之间的动态预测进行建模。

方法

共有 77 名来自跨诊断样本的药物初治类精神病体验个体被纳入研究。使用经验抽样法(ESM)收集数据。ESM 问卷在连续 7 天内(每天 6 次评估)发放。因此,分析了 3234 个数据条目。

结果

社会隔离通过对孤独感和负性情绪的影响来预测下一刻类精神病体验的出现。此外,类精神病体验似乎通过对负性情绪的影响来预测下一刻的孤独感,但不能预测社会隔离。社会压力不能预测网络中的任何变量。然而,它可以被前一刻的类精神病体验和社会隔离所预测。负性情绪具有最高的入度和出度中心性。

结论

本研究的结果表明,社会隔离可能通过对当下孤独感和负性情绪的影响来预测类精神病体验的出现。此外,孤独感可能与类精神病体验存在双向关联。针对负性情绪和社会隔离的干预措施可能对类精神病体验患者有益。

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