The Relationship Between Predominant Negative Symptoms and Self-Stigmatization in Clinically Stable Schizophrenia Patients
Notice bibliographique
Résumé
Objective: Internalized stigma and negative symptoms have deteriorating effects on prognosis and treatment adherence. Therefore, it is important to recognize the interaction between internalized stigma and negative symptoms in patients with schizophrenia. However, the relationships between negative symptom dimensions and internalized stigma are unclear. In this study, we examined the relationship between self-stigmatization and negative symptoms in a homogeneous subgroup of patients with predominant negative symptoms (PNS). At the same time, the relationships between depression severity and perceived social support and self-stigmatization were evaluated. Methods: Clinically stable schizophrenia patients who were being followed up in a Community Mental Health Center were included in this cross-sectional study. The Positive and Negative Symptom Scale (PANSS), the Brief Negative Symptom Scale (BNSS), the Calgary Depression Scale for Schizophrenia (CDSS) were applied by the clinician to the patients. In addition, the Internalized Stigma of Mental Illness Inventory (ISMI) and Multidimensional Scale of Perceived Social Support (MSPS), which are self-report scales, were given. Scale scores were compared between PNS and non-PNS (NPNS) groups. Correlations between the ISMI scale scores (perceived discrimination, alienation, stereotype endorsement, social withdrawal, and resistance to stigma) and demographic and clinical variables and other scale scores were evaluated. ANCOVA analysis was used to assess the effect of years of education, employment status, and insight level in intergroup comparisons. Results: The study included 117 patients [mean age = 43.4 (SD = 11.8); 35 females], with 88.9% experiencing self-stigma. The PNS group (n=58) had lower levels of insight, perceived discrimination, and ISMI total score, but higher negative symptoms and BNSS scores, whereas the NPNS group had higher scores on the positive and general subscales of the PANSS. Correlation analysis revealed negative relationships between alienation and perceived discrimination scores, years of education, and all negative symptom scores. ANCOVA results indicated that, after adjusting for education, employment status, and insight level, the difference in perceived discrimination between PNS and NPNS groups remained significant, while the difference in ISMI total score did not. Insight level was the only significant variable affecting ISMI total score in the model. Conclusion: Patients with PNS have a unique profile in terms of the relationships between self-stigma and negative symptom dimensions. At the same time, an increase in self-stigma was found as the level of insight increased.
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 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 | 0,000 | 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 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 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 ».