ICD-11 personality disorder features in the danish general population: Cut-offs and prevalence rates for severity levels
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ICD-11 personality disorder features in the danish general population : Cut-offs and prevalence rates for severity levels. / Bach, Bo; Simonsen, Erik; Kongerslev, Mickey T.; Hansen, Sune Bo; Hastrup, Lene H.; Simonsen, Sebastian; Sellbom, Martin.
In: Psychiatry Research, Vol. 328, 115484, 10.2023.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - ICD-11 personality disorder features in the danish general population
T2 - Cut-offs and prevalence rates for severity levels
AU - Bach, Bo
AU - Simonsen, Erik
AU - Kongerslev, Mickey T.
AU - Hansen, Sune Bo
AU - Hastrup, Lene H.
AU - Simonsen, Sebastian
AU - Sellbom, Martin
N1 - Publisher Copyright: © 2023 The Author(s)
PY - 2023/10
Y1 - 2023/10
N2 - Introduction: Prevalence rates and correlates of personality disorders (PD) are relevant to health care policy and planning. 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. 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. 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. 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.
AB - Introduction: Prevalence rates and correlates of personality disorders (PD) are relevant to health care policy and planning. 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. 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. 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. 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.
KW - Functioning
KW - General population
KW - ICD-11
KW - Impairment
KW - Norms
KW - Personality disorder
KW - Severity
U2 - 10.1016/j.psychres.2023.115484
DO - 10.1016/j.psychres.2023.115484
M3 - Journal article
C2 - 37748238
AN - SCOPUS:85171756932
VL - 328
JO - Psychiatry Research
JF - Psychiatry Research
SN - 0165-1781
M1 - 115484
ER -
ID: 368506694