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

TitleUnveiling common psychological characteristics of proneness to aggression and general psychopathology in a large community youth cohort
Authors
Issue Date12-Jul-2023
PublisherSpringer Nature [academic journals on nature.com]
Citation
Translational Psychiatry, 2023, v. 13, n. 1 How to Cite?
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.


Persistent Identifierhttp://hdl.handle.net/10722/337043
ISSN
2023 Impact Factor: 5.8
2023 SCImago Journal Rankings: 2.203
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorWong, TY-
dc.contributor.authorFang, ZQ-
dc.contributor.authorCheung, C-
dc.contributor.authorWong, CSM-
dc.contributor.authorSuen, YN-
dc.contributor.authorHui, CLM-
dc.contributor.authorLee, EHM-
dc.contributor.authorLui, SSY-
dc.contributor.authorChan, SKW-
dc.contributor.authorChang, WC-
dc.contributor.authorSham, PC-
dc.contributor.authorChen, EYH-
dc.date.accessioned2024-03-11T10:17:38Z-
dc.date.available2024-03-11T10:17:38Z-
dc.date.issued2023-07-12-
dc.identifier.citationTranslational Psychiatry, 2023, v. 13, n. 1-
dc.identifier.issn2158-3188-
dc.identifier.urihttp://hdl.handle.net/10722/337043-
dc.description.abstract<p>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.<br></p>-
dc.languageeng-
dc.publisherSpringer Nature [academic journals on nature.com]-
dc.relation.ispartofTranslational Psychiatry-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleUnveiling common psychological characteristics of proneness to aggression and general psychopathology in a large community youth cohort-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1038/s41398-023-02538-8-
dc.identifier.scopuseid_2-s2.0-85164542582-
dc.identifier.volume13-
dc.identifier.issue1-
dc.identifier.eissn2158-3188-
dc.identifier.isiWOS:001027132900003-
dc.identifier.issnl2158-3188-

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