Importance of alexithymia on anxiety and depression in alopecia areata: a cohort study
Notice bibliographique
Résumé
Abstract Background Alopecia areata (AA) is an autoimmune hair loss disease, considered a psychosomatic disease with comorbid symptoms of depression and anxiety. Alexithymia, defined as difficulties in recognizing and describing feelings, has been found to be a vulnerability factor for developing anxiety and depression and somatic disease. The psychological burden of AA needs to be further investigated in larger studies by using standardized instruments developed to identify alexithymia, and clinical depression and anxiety. The outcome is important when treating patients with AA as well as for decisions on treatment. Objectives To explore the prevalence of alexithymia and its subtypes and how they relate to depressive and anxiety symptoms in patients with AA. Methods In this cohort study 100 patients with AA were interviewed about sociodemographic data, AA disease variables, and previous and present mental health. The Beck Depression Inventory-II (BDI-II), the Beck Anxiety Inventory (BAI) and the Toronto Alexithymia Scale-20 (TAS-20) were used to identify alexithymia, depression and anxiety. Associations between alexithymia and subtype scores – difficulties identifying feelings (DIF), difficulties describing feelings (DDF) and externally oriented thinking (EOT) – were analysed in relation to depression and anxiety scores. Relations between alexithymia, depressive and anxiety scores, and AA and sociodemographic variables were examined. Results Prevalences of depression, anxiety and alexithymia in patients with AA were 16% (n = 16/100), 22% (n = 22/100) and 32% (n = 32/100), respectively. There was a statistically significant relation between DIF and anxiety and between DIF, DDF and depression. Lower levels of education were related to alexithymia, depression and anxiety symptoms. Alexithymia was statistically significantly more frequent among those who were younger at AA onset, in the relapsing form of AA and with nonfamilial AA. Previous mental affective illness was reported in 77% (n = 77/100) of patients with AA during the life course. Conclusions Patients with AA had a higher prevalence of depression, anxiety and alexithymia compared with normative data. Alexithymia was found among those with earlier AA onset, younger age at interview and lower educational levels. Higher EOT scores were found among those with anxiety and lower education.
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 | 0,000 | 0,000 |
| 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) | 0,000 | 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 ».