Back to Search
Start Over
ICD-11 personality disorder features in the danish general population: Cut-offs and prevalence rates for severity levels.
- Source :
-
Psychiatry research [Psychiatry Res] 2023 Oct; Vol. 328, pp. 115484. Date of Electronic Publication: 2023 Sep 17. - Publication Year :
- 2023
-
Abstract
- Introduction: Prevalence rates and correlates of personality disorders (PD) are relevant to health care policy and planning.<br />Objectives: To present normative data for self-reported ICD-11 personality disorder (PD) features including tentative cut-off scores and prevalence rates for severity levels along with psychosocial correlates.<br />Methods: The Personality Disorder Severity ICD-11 (PDS-ICD-11) scale and criterion measures of impairment were administered to a social-demographically stratified sample of Danish citizens (N = 8,941) of which 3,044 delivered complete data. Item-Response Theory (IRT) was employed to indicate cut-offs based on standard deviations from the latent mean.<br />Results: The unidimensionality of the PDS-ICD-11 score was supported and IRT analysis suggested norm-based thresholds at latent severity levels. Expected associations with criterion measures were found.<br />Conclusion: The normative data portray ICD-11 PD features in the general population and allow for interpretation of PDS-ICD-11 scores (e.g., scores of 12, 16, and 19 may indicate mild, moderate, and severe dysfunction), which may inform health care policy and planning. A total weighted prevalence of 6.9 % of the Danish general population is estimated to have clinically significant personality dysfunction, proportionally composed of Mild (4.8 %), Moderate (1.2 %), and Severe (0.9 %) levels. Future research should corroborate these findings using relevant clinical samples and methods.<br />Competing Interests: Declaration of Competing Interest None.<br /> (Copyright © 2023 The Author(s). Published by Elsevier B.V. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1872-7123
- Volume :
- 328
- Database :
- MEDLINE
- Journal :
- Psychiatry research
- Publication Type :
- Academic Journal
- Accession number :
- 37748238
- Full Text :
- https://doi.org/10.1016/j.psychres.2023.115484