Effects of Facilitated Emotional Disclosure on Psychological and Cardiovascular Reactivity in Alexithymia
Notice bibliographique
Résumé
Alexithymia, meaning “lack of words for feelings”, is characterized by difficulty identifying and describing emotional experiences as well as increased somatization. These emotional difficulties, which can be exacerbated by social stressors, have been linked to psychopathology and negative health outcomes. Situations that include demand for emotional expression, which can thus increase uncertainty, have been found to increase psychological arousal and alterations in the autonomic nervous system in the individuals with alexithymia. However, most studies to date have not examined the influence of facilitated emotional disclosure, a commonly used therapeutic tool, on psychological and cardiovascular reactivity in individuals with alexithymia. Drawing from research on social facilitation and emotion disclosure, this study examined how increased demands for emotional expression may increase negative emotional and physiological arousal in individuals scoring higher in alexithymia. Using data from a larger study, one hundred forty-one participants with chronic lower back pain engaged in emotional disclosure tasks with differing levels of facilitation after an anger-inducing maze task involving harassment from a confederate. Alexithymia was assessed using the Toronto Alexithymia Scale (TAS-20) scores during intake. Changes in negative affect were calculated by subtracting baseline values from post-experimental task reports. Also, blood pressure and heart rate were collected during both the anger-inducing and emotion expression tasks, and compared with baseline averages to obtain a change score. The results show that, in general, alexithymia as measured by TAS-20 was not associated with emotional or cardiovascular reactivity across expression groups. The lack of support for stress reactivity in alexithymia in the context of emotion disclosure demands is considered within the emotional disengagement characteristic of alexithymia as well as the decoupling and the alexithymia-stress model. Future studies to further investigate the cognitive appraisal and cardiovascular markers associated with alexithymia in situations with high emotional demand and perceived low resources as well as assessing task engagement may shed light on our understanding of stress processes and barriers to therapeutic treatments in alexithymia.
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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 ».