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Five Factor Model-Based Personality Disorders across Sex and Age-groups (N=320,128)
University West, Department of Social and Behavioural Studies. (Personlighet och socialpsykologi)
2017 (English)In: Personality and Personality Disorders:Foundations of Pathology, Pathways to Health, 2017Conference paper, Poster (Refereed)
Abstract [en]

The Five Factor Model (FFM) with its 30 facet traits is proposed as a universal basis for PD (Personality Disorders). For instance, based on the FFM-count method (Miller et al., 2005), the disposition for Paranoid PD can be calculated by a validated set of FFM sub-traits: N2 + E1_R + E2_R + O4_R + O6_R + A1_R + A2_R + A3_R + A4_R + A6_R. Using a comprehensive open-source representation of FFM (IPIP-NEO-120; Johnson, 2014), we explored age and sex differences in the 10 DSM-IV PD categories with the presumably largest US sample to date (N = 320,128). The results showed differences of up to ½ SD in all PD categories across age-groups, as well as clear gaps between sexes. For example, the largest decline with age, as well as differences in sex, was seen in Antisocial PD. Also, interaction effects between age and sex could be seen in Schizoid and Schizotypal PDs. The present study presents tentative support for personality trait theory as a basis for psychopathology, and updated benchmarks on the scope and size of sex and age differences in PD dispositions in the community.

Place, publisher, year, edition, pages
2017.
Keyword [en]
personality, traits, PD, sex, age, Five Factor Model
National Category
Psychology (excluding Applied Psychology)
Research subject
SOCIAL SCIENCE, Psychology
Identifiers
URN: urn:nbn:se:hv:diva-10279OAI: oai:DiVA.org:hv-10279DiVA: diva2:1056933
Conference
107th Annual Meeting of the American Psychopathological Association March 2-4, 2017 Crowne Plaza Times Square Manhattan
Available from: 2016-12-15 Created: 2016-12-15 Last updated: 2016-12-19

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