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Investigating general and specific psychopathology factors with nuance-level personality traits

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Investigating general and specific psychopathology factors with nuance-level personality traits. / Hang, Yuzhan; Speyer, Lydia Gabriela; Haring, Liina et al.
In: Personality and Mental Health, Vol. 17, No. 1, 28.02.2023, p. 67-76.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Hang, Y, Speyer, LG, Haring, L, Murray, AL & Mõttus, R 2023, 'Investigating general and specific psychopathology factors with nuance-level personality traits', Personality and Mental Health, vol. 17, no. 1, pp. 67-76. https://doi.org/10.1002/pmh.1561

APA

Hang, Y., Speyer, L. G., Haring, L., Murray, A. L., & Mõttus, R. (2023). Investigating general and specific psychopathology factors with nuance-level personality traits. Personality and Mental Health, 17(1), 67-76. https://doi.org/10.1002/pmh.1561

Vancouver

Hang Y, Speyer LG, Haring L, Murray AL, Mõttus R. Investigating general and specific psychopathology factors with nuance-level personality traits. Personality and Mental Health. 2023 Feb 28;17(1):67-76. Epub 2022 Aug 12. doi: 10.1002/pmh.1561

Author

Hang, Yuzhan ; Speyer, Lydia Gabriela ; Haring, Liina et al. / Investigating general and specific psychopathology factors with nuance-level personality traits. In: Personality and Mental Health. 2023 ; Vol. 17, No. 1. pp. 67-76.

Bibtex

@article{deb3c7bc34194406b8decb743bb4c87f,
title = "Investigating general and specific psychopathology factors with nuance-level personality traits",
abstract = "Mental health disorders share substantial variance, prompting researchers to develop structural models that can capture both generalised psychopathology risk and disorder/symptom-specific variation. This study investigated the associations of the general and specific psychopathology factors with multiple personality trait hierarchy levels: broad domains, their facets and nuances (N = 1839 Estonian adults). A bi-factor model with a general 'p' factor and specific factors for internalising problems, thought disorders and substance use best represented psychopathology structure. Although traits' predictive accuracy varied across psychopathology factors, nuances (the lowest level personality units) provided higher predictive accuracy and higher discriminant validity than domains. For example, traits related to high vulnerability, depression and immoderation and low friendliness and achievement striving were most strongly associated with the p factor. Nuances may prove useful for predicting and understanding general and specific psychopathology forms.",
keywords = "Adult, Humans, Personality Disorders/diagnosis, Psychopathology, Mental Disorders/diagnosis, Personality",
author = "Yuzhan Hang and Speyer, {Lydia Gabriela} and Liina Haring and Murray, {Aja Louise} and Ren{\'e} M{\~o}ttus",
year = "2023",
month = feb,
day = "28",
doi = "10.1002/pmh.1561",
language = "English",
volume = "17",
pages = "67--76",
journal = "Personality and Mental Health",
issn = "1932-8621",
publisher = "John Wiley and Sons Ltd",
number = "1",

}

RIS

TY - JOUR

T1 - Investigating general and specific psychopathology factors with nuance-level personality traits

AU - Hang, Yuzhan

AU - Speyer, Lydia Gabriela

AU - Haring, Liina

AU - Murray, Aja Louise

AU - Mõttus, René

PY - 2023/2/28

Y1 - 2023/2/28

N2 - Mental health disorders share substantial variance, prompting researchers to develop structural models that can capture both generalised psychopathology risk and disorder/symptom-specific variation. This study investigated the associations of the general and specific psychopathology factors with multiple personality trait hierarchy levels: broad domains, their facets and nuances (N = 1839 Estonian adults). A bi-factor model with a general 'p' factor and specific factors for internalising problems, thought disorders and substance use best represented psychopathology structure. Although traits' predictive accuracy varied across psychopathology factors, nuances (the lowest level personality units) provided higher predictive accuracy and higher discriminant validity than domains. For example, traits related to high vulnerability, depression and immoderation and low friendliness and achievement striving were most strongly associated with the p factor. Nuances may prove useful for predicting and understanding general and specific psychopathology forms.

AB - Mental health disorders share substantial variance, prompting researchers to develop structural models that can capture both generalised psychopathology risk and disorder/symptom-specific variation. This study investigated the associations of the general and specific psychopathology factors with multiple personality trait hierarchy levels: broad domains, their facets and nuances (N = 1839 Estonian adults). A bi-factor model with a general 'p' factor and specific factors for internalising problems, thought disorders and substance use best represented psychopathology structure. Although traits' predictive accuracy varied across psychopathology factors, nuances (the lowest level personality units) provided higher predictive accuracy and higher discriminant validity than domains. For example, traits related to high vulnerability, depression and immoderation and low friendliness and achievement striving were most strongly associated with the p factor. Nuances may prove useful for predicting and understanding general and specific psychopathology forms.

KW - Adult

KW - Humans

KW - Personality Disorders/diagnosis

KW - Psychopathology

KW - Mental Disorders/diagnosis

KW - Personality

U2 - 10.1002/pmh.1561

DO - 10.1002/pmh.1561

M3 - Journal article

C2 - 35959741

VL - 17

SP - 67

EP - 76

JO - Personality and Mental Health

JF - Personality and Mental Health

SN - 1932-8621

IS - 1

ER -