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

Psychology

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

T. Y. Wong, Z. Fang, et al.

This study explores the intriguing connection between general psychopathology and aggression in a diverse group of 2184 community youths. With striking findings that highlight the role of isolation and impulsivity, the research unveils shared psychological mechanisms that may underlie these issues. Conducted by esteemed authors from various prestigious institutions, this research sheds light on critical aspects of youth mental health.... show more
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.
Publisher
Translational Psychiatry
Published On
Jul 12, 2023
Authors
Ting Yat Wong, Zhiqian Fang, Charlton Cheung, Corine S. M. Wong, Yi Nam Suen, Christy L. M. Hui, Edwin H. M. Lee, Simon S. Y. Lui, Sherry K. W. Chan, Wing Chung Chang, Pak Chung Sham, Eric Y. H. Chen
Tags
psychopathology
aggression
youths
impulsivity
isolation
mental health
machine learning
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