Exportar Publicação

A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA)
Henriques-Calado, J.,  Gonçalves, B., Pires, R., Paulino, M., Gama marques, J. & Marques, C. (2019). DSM-5 MALADAPTIVE TRAITS, PERSONALITY AND SOCIODEMOGRAPHIC VARIABLES: PREDICTIVE DIMENSIONAL MODELS IN A PORTUGUESE CLINICAL SAMPLE . 19th WPA World Congress of Psychiatry.
Exportar Referência (IEEE)
J. Henriques-Calado et al.,  "DSM-5 MALADAPTIVE TRAITS, PERSONALITY AND SOCIODEMOGRAPHIC VARIABLES: PREDICTIVE DIMENSIONAL MODELS IN A PORTUGUESE CLINICAL SAMPLE ", in 19th WPA World Congr. of Psychiatry, Lisbon, 2019
Exportar BibTeX
@misc{henriques-calado2019_1732208674258,
	author = "Henriques-Calado, J. and  Gonçalves, B. and Pires, R. and Paulino, M. and Gama marques, J. and Marques, C.",
	title = "DSM-5 MALADAPTIVE TRAITS, PERSONALITY AND SOCIODEMOGRAPHIC VARIABLES: PREDICTIVE DIMENSIONAL MODELS IN A PORTUGUESE CLINICAL SAMPLE ",
	year = "2019",
	url = "https://2019.wcp-congress.com/welcome-to-wpa/"
}
Exportar RIS
TY  - CPAPER
TI  - DSM-5 MALADAPTIVE TRAITS, PERSONALITY AND SOCIODEMOGRAPHIC VARIABLES: PREDICTIVE DIMENSIONAL MODELS IN A PORTUGUESE CLINICAL SAMPLE 
T2  - 19th WPA World Congress of Psychiatry
AU  - Henriques-Calado, J.
AU  -  Gonçalves, B.
AU  - Pires, R.
AU  - Paulino, M.
AU  - Gama marques, J.
AU  - Marques, C.
PY  - 2019
CY  - Lisbon
UR  - https://2019.wcp-congress.com/welcome-to-wpa/
AB  - Objectives:

To examine the relations among contemporary models of pathological and normal-range personality traits in a clinical sample, with emphasis on sociodemographic variables.
Background:

The alternative dimensional classification for personality disorders in DSM-5 may be reliably assessed using the Personality Inventory for DSM-5 (PID-5). Empirical evidence suggests a shared structure with the Five-Factor Model (FFM) of general personality. Although there is a growing body of literature on the PID-5, its relationships with sociodemographic variables in clinical samples are still largely understudied. This study aims to: test models that predict each PID-5 dimension based on FFM traits and sociodemographic data (age, sex, schooling).
Materials and Methods:

A cross-sectional study of a psychiatric outpatient sample of 207 participants aged between 18 and 68 years (Mage = 43.62, SD = 11.04), mainly male (71%), with an average of 10 years schooling (SD = 4.47). Self-reported assessment: PID-5; FFM Inventory. Five multiple linear regressions were computed.
Results and Conclusions:

High FFM Neuroticism and low schooling predicted PID-5 Negative Affectivity, explaining 94% of the variance (R-squared = .94); low FFM Extraversion and high age predicted PID-5 Detachment (R-squared = .88); low FFM Agreeableness and male sex predicted PID-5 Antagonism (R-squared = .82); low FFM Conscientiousness and low schooling predicted PID-5 Disinhibition (R-squared = .82); high FFM Openness predicted PID-5 Psychoticism (R-squared = .83). Normal-range personality and sociodemographic variables predict DSM-5 maladaptive traits in a conceptually coherent manner. More research is required in clinical samples. Analyses strengthen the Zeitgeist for using broad dimensions that span normative and pathological functioning.
ER  -