Academic Journal
Personality Inventory for ICD-11 (PiCD) Trait Domains: Psychometric Properties and Cutoffs Based on General Population Norms.
| Title: | Personality Inventory for ICD-11 (PiCD) Trait Domains: Psychometric Properties and Cutoffs Based on General Population Norms. |
|---|---|
| Authors: | Grunert GV; Center for Personality Disorder Research, Mental Health Services (West), Slagelse, Denmark.; Mental Health Services (East), Roskilde, Denmark., Bach B; Center for Personality Disorder Research, Mental Health Services (West), Slagelse, Denmark.; Department of Psychology, University of Copenhagen. |
| Source: | Journal of personality assessment [J Pers Assess] 2026 Sep-Oct; Vol. 108 (5), pp. 640-647. Date of Electronic Publication: 2026 Mar 19. |
| Publication Type: | Journal Article |
| Language: | English |
| Journal Info: | Publisher: Informa Healthcare Country of Publication: England NLM ID: 1260201 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-7752 (Electronic) Linking ISSN: 00223891 NLM ISO Abbreviation: J Pers Assess Subsets: MEDLINE |
| Imprint Name(s): | Publication: London : Informa Healthcare Original Publication: [Burbank, Calif.] Society for Personality Assessment. |
| MeSH Terms: | Personality Disorders*/diagnosis , Personality Disorders*/classification , Personality Inventory*/standards , International Classification of Diseases*, Humans ; Psychometrics ; Female ; Adult ; Male ; Middle Aged ; Denmark ; Young Adult ; Adolescent ; Reproducibility of Results ; Aged |
| Abstract: | The ICD-11 classification of Personality Disorder (PD) relies on global severity of personality dysfunction, while up to five trait domains can be specified as individual expressions (i.e. Negative affectivity, Detachment, Dissociality, Disinhibition, and Anankastia). The 60-item Personality inventory for ICD-11 (PiCD) was developed to measure these domains but has not yet been evaluated in Scandinavian context. Using a representative and socio-demographically stratified sample of the Danish adult population (N = 714), this study aimed to investigate the psychometric properties of the PiCD and to provide normative data for clinical cutoffs and interpretation of scores. Results support a four-factor model, including a bipolar dimension of Disinhibition versus Anankastia, which is consistent with previous studies. The hierarchical structure from one global factor to the four specific factors also revealed a conceptually coherent pattern across all four levels. The PiCD domain scores show acceptable internal consistency and significant associations with psychosocial functioning (particularly for Negative affectivity and Detachment scores). The findings overall support the PiCD's utility in assessing ICD-11 trait domains and highlight the importance of representative normative data for clinical application in Scandinavian contexts. Normative data, tentative-cutoffs, and a scoring-key for a clinical interpretive report are provided to guide clinical interpretation and decision-making. |
| Entry Date(s): | Date Created: 20260319 Date Completed: 20260817 Latest Revision: 20260817 |
| Update Code: | 20260818 |
| DOI: | 10.1080/00223891.2026.2637560 |
| PMID: | 41855471 |
| Database: | MEDLINE |
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| Items | – Name: Title Label: Title Group: Ti Data: Personality Inventory for ICD-11 (PiCD) Trait Domains: Psychometric Properties and Cutoffs Based on General Population Norms. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Grunert+GV%22">Grunert GV</searchLink>; Center for Personality Disorder Research, Mental Health Services (West), Slagelse, Denmark.; Mental Health Services (East), Roskilde, Denmark.<br /><searchLink fieldCode="AU" term="%22Bach+B%22">Bach B</searchLink>; Center for Personality Disorder Research, Mental Health Services (West), Slagelse, Denmark.; Department of Psychology, University of Copenhagen. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%221260201%22">Journal of personality assessment</searchLink> [J Pers Assess] 2026 Sep-Oct; Vol. 108 (5), pp. 640-647. <i>Date of Electronic Publication: </i>2026 Mar 19. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: Language Label: Language Group: Lang Data: English – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Informa+Healthcare%22">Informa Healthcare </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>1260201 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1532-7752 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200223891%22">00223891 </searchLink><i>NLM ISO Abbreviation: </i>J Pers Assess <i>Subsets: </i>MEDLINE – Name: PublisherInfo Label: Imprint Name(s) Group: PubInfo Data: <i>Publication</i>: London : Informa Healthcare<br /><i>Original Publication</i>: [Burbank, Calif.] Society for Personality Assessment. – Name: SubjectMESH Label: MeSH Terms Group: Su Data: <searchLink fieldCode="MM" term="%22Personality+Disorders%22">Personality Disorders*</searchLink>/<searchLink fieldCode="MM" term="%22Personality+Disorders+diagnosis%22">diagnosis</searchLink> <br /><searchLink fieldCode="MM" term="%22Personality+Disorders%22">Personality Disorders*</searchLink>/<searchLink fieldCode="MM" term="%22Personality+Disorders+classification%22">classification</searchLink> <br /><searchLink fieldCode="MM" term="%22Personality+Inventory%22">Personality Inventory*</searchLink>/<searchLink fieldCode="MM" term="%22Personality+Inventory+standards%22">standards</searchLink> <br /><searchLink fieldCode="MM" term="%22International+Classification+of+Diseases%22">International Classification of Diseases*</searchLink><br /><searchLink fieldCode="MH" term="%22Humans%22">Humans</searchLink> ; <searchLink fieldCode="MH" term="%22Psychometrics%22">Psychometrics</searchLink> ; <searchLink fieldCode="MH" term="%22Female%22">Female</searchLink> ; <searchLink fieldCode="MH" term="%22Adult%22">Adult</searchLink> ; <searchLink fieldCode="MH" term="%22Male%22">Male</searchLink> ; <searchLink fieldCode="MH" term="%22Middle+Aged%22">Middle Aged</searchLink> ; <searchLink fieldCode="MH" term="%22Denmark%22">Denmark</searchLink> ; <searchLink fieldCode="MH" term="%22Young+Adult%22">Young Adult</searchLink> ; <searchLink fieldCode="MH" term="%22Adolescent%22">Adolescent</searchLink> ; <searchLink fieldCode="MH" term="%22Reproducibility+of+Results%22">Reproducibility of Results</searchLink> ; <searchLink fieldCode="MH" term="%22Aged%22">Aged</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The ICD-11 classification of Personality Disorder (PD) relies on global severity of personality dysfunction, while up to five trait domains can be specified as individual expressions (i.e. Negative affectivity, Detachment, Dissociality, Disinhibition, and Anankastia). The 60-item Personality inventory for ICD-11 (PiCD) was developed to measure these domains but has not yet been evaluated in Scandinavian context. Using a representative and socio-demographically stratified sample of the Danish adult population (N = 714), this study aimed to investigate the psychometric properties of the PiCD and to provide normative data for clinical cutoffs and interpretation of scores. Results support a four-factor model, including a bipolar dimension of Disinhibition versus Anankastia, which is consistent with previous studies. The hierarchical structure from one global factor to the four specific factors also revealed a conceptually coherent pattern across all four levels. The PiCD domain scores show acceptable internal consistency and significant associations with psychosocial functioning (particularly for Negative affectivity and Detachment scores). The findings overall support the PiCD's utility in assessing ICD-11 trait domains and highlight the importance of representative normative data for clinical application in Scandinavian contexts. Normative data, tentative-cutoffs, and a scoring-key for a clinical interpretive report are provided to guide clinical interpretation and decision-making. – Name: DateEntry Label: Entry Date(s) Group: Date Data: <i>Date Created: </i>20260319 <i>Date Completed: </i>20260817 <i>Latest Revision: </i>20260817 – Name: DateUpdate Label: Update Code Group: Date Data: 20260818 – Name: DOI Label: DOI Group: ID Data: 10.1080/00223891.2026.2637560 – Name: AN Label: PMID Group: ID Data: 41855471 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/00223891.2026.2637560 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 640 Subjects: – SubjectFull: Humans Type: general – SubjectFull: Psychometrics Type: general – SubjectFull: Female Type: general – SubjectFull: Adult Type: general – SubjectFull: Male Type: general – SubjectFull: Middle Aged Type: general – SubjectFull: Denmark Type: general – SubjectFull: Young Adult Type: general – SubjectFull: Adolescent Type: general – SubjectFull: Reproducibility of Results Type: general – SubjectFull: Aged Type: general – SubjectFull: Personality Disorders diagnosis Type: general – SubjectFull: Personality Disorders classification Type: general – SubjectFull: Personality Inventory standards Type: general – SubjectFull: International Classification of Diseases Type: general Titles: – TitleFull: Personality Inventory for ICD-11 (PiCD) Trait Domains: Psychometric Properties and Cutoffs Based on General Population Norms. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Grunert GV – PersonEntity: Name: NameFull: Bach B IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: 2026 Sep-Oct Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1532-7752 Numbering: – Type: volume Value: 108 – Type: issue Value: 5 Titles: – TitleFull: Journal of personality assessment Type: main |
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