The Fundamental Structure of Axis II Personality Disorders Assessed in the National Epidemiologic Survey on Alcohol and Related Conditions
Notice bibliographique
Résumé
OBJECTIVE: Little is known about the fundamental structure of core personality disorder psychopathology in the general population. The current study employed confirmatory factor analysis to evaluate competing models of patterns of personality disorder diagnoses in a nationally representative sample. METHOD: DSM-IV and alternate models of the structure of personality disorder psychopathology were evaluated using data from the National Epidemiologic Survey on Alcohol and Related Conditions conducted between 2001 and 2002 (N = 43,093). Dimensional versus categorical representations of DSM-IV personality disorder structure were also tested. Face-to-face interviews were conducted in the United States. Participants were community-based respondents aged 18 years and older. Diagnoses and dimensional scores were made for antisocial, avoidant, dependent, histrionic, obsessive-compulsive, paranoid, and schizoid personality disorders. RESULTS: Multiple goodness-of-fit indicators provided support for a DSM-IV-based hierarchical model of personality disorders. In this model, the individual personality disorders were viewed as belonging to 1 of 3 latent factors or clusters (A, B, or C). In all of the models, the individual personality disorders were allowed to be an indicator for only a single latent cluster, and errors were not allowed to correlate with each other. In turn, these 3 clusters were viewed as comprising a single higher-order "Axis II personality disorder factor." The DSM-IV model was largely invariant across gender, Axis I comorbidity, and treatment-seeking status. A dimensionally based form of assessment of the DSM-IV personality disorders produced excellent goodness-of-fit indicators and produced low Akaike information criterion values (which are indicative of better-fitting models). CONCLUSIONS: The results from this confirmatory factor analysis in a large, nationally representative mental health survey supported the DSM-IV hierarchical organization of Axis II personality disorders. This model was significantly superior to viable alternative models of Axis II personality psychopathology. There was also evidence to suggest this model could obtain even stronger support if a dimensionally based form of diagnostic assessment was adopted in place of the dichotomous form of assessment (presence/absence) of personality disorders currently in use in the DSM-IV.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,026 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».