Alexithymia according to Bucci's multiple code theory: A preliminary investigation with healthy and hypertensive individuals
Notice bibliographique
Résumé
OBJECTIVE: To evaluate the relation between alexithymia and Referential Activity (RA), a linguistic measure of the process by which non-verbal emotional experience is connected to language. METHODS: The 20-Item Toronto Alexithymia Scale (TAS-20) and the Toronto Structured Interview for Alexithymia (TSIA) were administered to 20 postgraduate students and 15 outpatients with hypertension. The Weighted Referential Activity Dictionary (WRAD) and other linguistic measures (Reflection, Disfluency, and Somatic Sense) were applied to texts derived from the TSIA using the Discourse Attributes Analysis Program (DAAP). RESULTS: Multiple linear regressions performed in the whole sample showed a relation between TSIA scores and Somatic Sense. Comparing the two groups, hypertensive subjects yielded higher scores on the TSIA than the young adult sample; no differences in DAAP measures emerged. A significant negative correlation was found between the TAS-20 Difficulty Describing Feelings score and the DAAP measure of references to body activations (Somatic Sense) both in the young adult sample and in hypertensives. In the young adult sample, negative relations emerged between different TSIA factors, WRAD score, and Somatic Sense; a positive relation with fragmented speech (Disfluency) and use of rationalization (Reflection) was also found. In hypertensive subjects, using the TSIA, a negative correlation between alexithymia and Somatic Sense and a positive correlation between alexithymia and the Mean High WRAD (a measure of intensity of engagement during the speech) were found. CONCLUSION: The TSIA seems to be a more adequate instrument than the TAS-20 to explore relations between alexithymia and RA. Results appear to suggest a complex, nonlinear relation between alexithymia and RA, presumably influenced by subject-specific characteristics. PRACTITIONER POINTS: A relation between alexithymia and RA has been proposed on theoretical grounds, but there has been minimal empirical investigation. This was the first study to employ both a self-report measure and a structured interview for measuring alexithymia in relation to RA. The results of this study suggest a complex, nonlinear relation between alexithymia and RA; this finding is essentially obtained with the structured interview measure of alexithymia. This relation is presumably influenced by subject-specific characteristics.
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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 | 0,004 | 0,001 |
| 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 | 0,001 | 0,001 |
| 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 ».