SA30. Self-Assessment of Amotivation and Insight into Patients With Schizophrenia
Notice bibliographique
Résumé
Background: Schizophrenia is a disabling disorder characterized by negative and cognitive symptoms. The negative symptom domain of low motivation has recently been found to be an important determinant of functioning. Currently, motivation is frequently assessed with either self-rated or clinician-rated motivation measures. However, little is known about the overlap between self-rated and clinician-rated motivation and whether these two assessment types are differentially related to clinical variables. Therefore, this study investigated (1) the association between self-rated and clinician-rated motivation, (2) the clinical correlates of both motivation assessment types, and (3) the correlates of the discrepancy between the motivation assessments types. Methods: Fifty patients with schizophrenia spectrum disorders were assessed by trained clinicians using the Positive and Negative Syndrome Scale (PANSS), the Calgary Depression Scale (CDSS), and both the clinician-rated (C) and self-rated (S) versions of the Apathy Evaluation Scale (AES). Neurocognition was assessed with the Brief Assessment of Cognition in Schizophrenia (BACS). Social cognition was assessed with the Hinting Task, the Relationships Across Domains measure, and the Ekman-60 emotion recognition task. Results: The AES-C and AES-S were positively correlated (r = .43; P < .05). Further, moderate, positive correlations were established between the AES-C and most of the PANSS amotivation subscale items (N2 (r = .51), N4 (r = .45)). However, a significant correlation between the AES-C and the G16 item of the PANSS amotivation subscale was not observed. The AES-S was not significantly correlated with any of the PANSS amotivation items. The AES-C did not correlate with the PANSS depression item or the CDSS total score, while moderate correlations with the AES-S were observed with both (r = .38 and r = .45, respectively). The AES-C/AES-S discrepancy score was positively correlated with the PANSS insight item (r = 0.39) and the presence of a paranoid schizophrenia diagnosis (r = .32). No significant correlations were observed between the discrepancy score and the BACS, social cognition measures, or additional demographic variables. Conclusion: While the clinician-rated AES is regarded as a sensitive instrument for the assessment of apathetic/amotivation schizophrenia symptoms, our results suggest that scores from the self-rated AES need to be interpreted carefully. Our findings also indicate that patients with schizophrenia might be less aware of primary negative (i.e., amotivation) symptoms, and when asked to self-rate negative symptoms, they rate secondary negative symptoms caused by depression. Results also suggest that reduced insight might be driving part of the discrepancy between self-rated and clinician-rated motivation. Findings should be considered when choosing motivation measures.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,001 |
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 source (Gemma direct ou Codex distillé), 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 ».