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Six-month stability and predictive validity of the personality inventory for ICD-11
BACKGROUND: The International Classification of Diseases 11th Revision (ICD-11) personality disorder model comprises, among other elements, five maladaptive personality trait domains (negative affectivity, detachment, dissociality, disinhibition, anankastia). Recently, the personality inventory for...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9670366/ https://www.ncbi.nlm.nih.gov/pubmed/36384683 http://dx.doi.org/10.1186/s40359-022-00979-2 |
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author | Stricker, Johannes Jakob, Louisa Köhler, Denis Pietrowsky, Reinhard |
author_facet | Stricker, Johannes Jakob, Louisa Köhler, Denis Pietrowsky, Reinhard |
author_sort | Stricker, Johannes |
collection | PubMed |
description | BACKGROUND: The International Classification of Diseases 11th Revision (ICD-11) personality disorder model comprises, among other elements, five maladaptive personality trait domains (negative affectivity, detachment, dissociality, disinhibition, anankastia). Recently, the personality inventory for ICD-11 (PiCD) has emerged as one of the most widely used measures of these ICD-11 personality trait domains. METHODS: The current study contributed to the validation of the PiCD validation by exploring its stability and predictive links with psychological distress over 6 months in a sample of 206 German community adults. RESULTS: The PiCD trait domain scales displayed strong differential (all r ≥ .80) and absolute stability (all |d| ≤ .09). Additionally, PiCD negative affectivity predicted depression, anxiety, and stress, and PiCD detachment predicted depression over 6 months beyond baseline. CONCLUSION: In sum, this study demonstrated the stability of the PiCD trait domain scores, supporting their utility for capturing relatively stable traits as described in the ICD-11. Additionally, we provided the first evidence for the predictive validity of some of the PiCD trait domain scores. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40359-022-00979-2. |
format | Online Article Text |
id | pubmed-9670366 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-96703662022-11-18 Six-month stability and predictive validity of the personality inventory for ICD-11 Stricker, Johannes Jakob, Louisa Köhler, Denis Pietrowsky, Reinhard BMC Psychol Research BACKGROUND: The International Classification of Diseases 11th Revision (ICD-11) personality disorder model comprises, among other elements, five maladaptive personality trait domains (negative affectivity, detachment, dissociality, disinhibition, anankastia). Recently, the personality inventory for ICD-11 (PiCD) has emerged as one of the most widely used measures of these ICD-11 personality trait domains. METHODS: The current study contributed to the validation of the PiCD validation by exploring its stability and predictive links with psychological distress over 6 months in a sample of 206 German community adults. RESULTS: The PiCD trait domain scales displayed strong differential (all r ≥ .80) and absolute stability (all |d| ≤ .09). Additionally, PiCD negative affectivity predicted depression, anxiety, and stress, and PiCD detachment predicted depression over 6 months beyond baseline. CONCLUSION: In sum, this study demonstrated the stability of the PiCD trait domain scores, supporting their utility for capturing relatively stable traits as described in the ICD-11. Additionally, we provided the first evidence for the predictive validity of some of the PiCD trait domain scores. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40359-022-00979-2. BioMed Central 2022-11-16 /pmc/articles/PMC9670366/ /pubmed/36384683 http://dx.doi.org/10.1186/s40359-022-00979-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Stricker, Johannes Jakob, Louisa Köhler, Denis Pietrowsky, Reinhard Six-month stability and predictive validity of the personality inventory for ICD-11 |
title | Six-month stability and predictive validity of the personality inventory for ICD-11 |
title_full | Six-month stability and predictive validity of the personality inventory for ICD-11 |
title_fullStr | Six-month stability and predictive validity of the personality inventory for ICD-11 |
title_full_unstemmed | Six-month stability and predictive validity of the personality inventory for ICD-11 |
title_short | Six-month stability and predictive validity of the personality inventory for ICD-11 |
title_sort | six-month stability and predictive validity of the personality inventory for icd-11 |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9670366/ https://www.ncbi.nlm.nih.gov/pubmed/36384683 http://dx.doi.org/10.1186/s40359-022-00979-2 |
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