Low Levels of Emotional Awareness Predict a Better Response to Dermatological Treatment in Patients with Psoriasis
Notice bibliographique
Résumé
BACKGROUND: Personality and emotional factors are thought to influence the onset of psoriasis, the occurrence of relapses, and the sensitivity of this condition to dermatological treatments. OBJECTIVE: To explore the relationships between emotional disorders and emotional information processing in the one hand, and psoriasis severity and response to treatment on the other. METHODS: We recruited 93 patients through an article in the local press. These patients attended three consultations. We evaluated psoriasis severity by Psoriasis Area and Severity Index (PASI) score and response to treatment by change in PASI score from baseline to the 3-month visit. We screened for comorbid mental disorders, using the Mini International Neuropsychiatric Interview. We used the Hospital Anxiety and Depression Scale to assess anxiety and depressive symptoms. Alexithymia (difficulty in identifying and expressing emotions) was evaluated with the 26-item version of the Toronto Alexithymia Scale (TAS-26) and the ability to integrate and differentiate emotions (emotional awareness) was assessed with the Lane and Schwartz Levels of Emotional Awareness Scale (LEAS). RESULTS: Forty patients presented at least one psychiatric diagnosis and 33 were considered alexithymic (TAS > or =73). No psychological score was associated with baseline PASI score, which was higher in men and positively correlated with disease duration. Patients who considered their disease to be stress-reactive tended to have lower LEAS scores (p = 0.052). At the 3-month visit, PASI scores had significantly improved in the subset of patients (n = 67) presenting severe psoriasis at inclusion (PASI >2); emotional awareness and anxiety scores had also improved in these patients (p < 0.001), but dermatological and psychological changes were not statistically related. Dermatological improvement at 3 months with respect to baseline PASI was predicted by longer disease duration (>20 years) and lower baseline LEAS score (p = 0.044 and p = 0.021, respectively). CONCLUSION: This study demonstrates the value of assessing the ability of patients with psoriasis to process emotional information, as defined by emotional awareness. Patients with low LEAS scores appear to be more reactive to stress, but also to be more responsive to treatment, suggesting the activation of a particular stress physiology by negative affective states that are not experienced.
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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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 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) | 0,000 | 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 ».