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揭示一个大型社区青年队列中易攻击倾向和一般精神病理学的常见心理特征。

Unveiling common psychological characteristics of proneness to aggression and general psychopathology in a large community youth cohort.

机构信息

Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA.

Department of Psychiatry, The University of Hong Kong, Hong Kong SAR, China.

出版信息

Transl Psychiatry. 2023 Jul 12;13(1):255. doi: 10.1038/s41398-023-02538-8.

Abstract

Elevated aggression in individuals with psychiatric disorders is frequently reported yet aggressive acts among people with mental illness are often intertwined with proneness to aggression and other risk factors. Evidence has suggested that both general psychopathology and proneness to aggression may share common psychological characteristics. This study aims to investigate the complex relationship between general psychopathology, proneness to aggression, and their contributing factors in community youth. Here, we first examined the association between proneness to aggression and the level of general psychopathology in 2184 community youths (male: 41.2%). To identify common characteristics, we trained machine learning models using LASSO based on 230 features covering sociodemographic, cognitive functions, lifestyle, well-being, and psychological characteristics to predict levels of general psychopathology and proneness to aggression. A subsequent Gaussian Graph Model (GGM) was fitted to understand the relationships between the general psychopathology, proneness to aggression, and selected features. We showed that proneness to aggression was associated with a higher level of general psychopathology (discovery: r = 0.56, 95% CI: [0.52-0.59]; holdout: r = 0.60, 95% CI: [0.54-0.65]). The LASSO model trained on the discovery dataset for general psychopathology was able to predict proneness to aggression in the holdout dataset with a moderate correlation coefficient of 0.606. Similarly, the model trained on the proneness to aggression in the discovery dataset was able to predict general psychopathology in the holdout dataset with a correlation coefficient of 0.717. These results suggest that there is substantial shared information between the two outcomes. The GGM model revealed that isolation and impulsivity factors were directly associated with both general psychopathology and proneness to aggression. These results revealed shared psychological characteristics of general psychopathology and proneness to aggression in a community sample of youths.

摘要

精神障碍患者的攻击性增强经常被报道,但精神疾病患者的攻击行为往往与攻击性倾向和其他风险因素交织在一起。有证据表明,一般精神病理学和攻击性倾向可能具有共同的心理特征。本研究旨在调查社区青年中一般精神病理学、攻击性倾向及其影响因素之间的复杂关系。在这里,我们首先在 2184 名社区青年(男性:41.2%)中研究了攻击性倾向与一般精神病理学水平之间的关系。为了识别共同特征,我们使用基于 LASSO 的机器学习模型对涵盖社会人口统计学、认知功能、生活方式、幸福感和心理特征的 230 个特征进行训练,以预测一般精神病理学和攻击性倾向的水平。随后拟合了一个高斯图模型(GGM),以了解一般精神病理学、攻击性倾向和选定特征之间的关系。我们发现,攻击性倾向与更高的一般精神病理学水平相关(发现:r=0.56,95%CI:[0.52-0.59];保留:r=0.60,95%CI:[0.54-0.65])。在发现数据集中为一般精神病理学训练的 LASSO 模型能够以中等相关系数 0.606 预测保留数据集中的攻击性倾向。同样,在发现数据集中为攻击性倾向训练的模型能够以相关系数 0.717 预测保留数据集中的一般精神病理学。这些结果表明,两个结果之间存在大量共享信息。GGM 模型表明,孤立和冲动性因素与一般精神病理学和攻击性倾向都直接相关。这些结果揭示了社区青年样本中一般精神病理学和攻击性倾向的共同心理特征。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4538/10338447/c759200e14ed/41398_2023_2538_Fig1_HTML.jpg

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