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How Exposure to Personal Distress With and Without Self-Compassion Affects Emotional Distress Tolerance: Results from a Randomized Controlled Trial Conducted in a Sample of University Students and a Sample of Community Adults

2022· dissertation· en· W7066440657 sur OpenAlexaboutno aff

Notice bibliographique

RevueUWSpace (University of Waterloo) · 2022
Typedissertation
Langueen
DomainePsychology
ThématiqueMindfulness and Compassion Interventions
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésDistressFeelingPsychopathologyRandomized controlled trialEmotional distressTest (biology)Young adultCognition
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Emotional distress tolerance refers to the perceived ability to tolerate one’s negative emotions (Simons & Gaher, 2005). Low emotional distress tolerance is a transdiagnostic marker of psychopathology (Leyro et al., 2010) and is therefore important to target in psychological interventions. Cognitive behavioural theories suggest that to overcome low emotional distress tolerance, individuals need to expose themselves to their negative emotions and, in so doing, learn that experiencing negative emotions is more tolerable than they expected. However, when distress intolerant individuals participate in therapy involving such exposures, they find them unbearable (Belleau et al., 2017; Griffen et al., 2018) and terminate treatment early (Daughters et al., 2005; Niles et al., 2017). We theorized that self-compassion, which involves enacting a caring, curious stance toward one’s own distress with the intention of preventing and alleviating it (Gilbert, 2014), might make the experience of feeling negative emotions more bearable due to its soothing physiological effects (Kim et al., 2020). We therefore tested the primary hypothesis that, among individuals low in emotional distress tolerance, exposure to negative emotions with self-compassion, as compared to without and a placebo control condition, would lead to superior emotional distress tolerance and that this effect would occur indirectly via greater levels of soothing affect. We also sought to test the secondary hypotheses that exposure with self-compassion compared to without would have higher treatment acceptability and lead to less emotional avoidance over time. To test these hypotheses, we conducted a randomized, single-blind, placebo-controlled, three-arm, parallel-group, additive, superiority trial in a Canadian student sample (n = 126) recruited through a mid-sized Canadian university’s participant pool and an international community sample (n = 298) recruited through the Prolific participant pool, both of which comprised fluent English-speaking adults with below-average levels of emotional distress tolerance. In an online session, participants were asked to recall a distressing situation and then were randomly assigned through the randomizer function within Qualtrics at a ratio of 1:1:1 to perform one of three written tasks involving: 1) exposure to negative emotions (student sample n = 42, community sample n = 100); 2) exposure to negative emotions with self-compassion (student sample n = 43, community sample n = 98); or 3) a control distraction-based planning condition (student sample n = 41, community sample n = 100). Participants completed questionnaires immediately before and after their written intervention task and again one week later. ANCOVAs revealed that, controlling for baseline emotional distress tolerance levels, condition significantly predicted emotional distress tolerance levels immediately post-intervention, n2p = .02-.06. The exposure with self-compassion condition yielded higher post emotional distress tolerance than the pure exposure condition in both the student sample (d = 0.52) and community sample (d = 0.37). Further, in both samples, increased soothing affect during the intervention significantly mediated 65-67% of the effect of condition on post-intervention emotional distress tolerance levels. However, ANCOVAs also revealed that, controlling for baseline emotional distress tolerance levels, condition did not significantly predict emotional distress tolerance levels at the one-week follow-up, n2p = .02-.03. Further, results did not support our hypotheses that the self-compassion condition would result in greater treatment acceptability and emotion engagement. Although not all our hypotheses were supported, results across samples support a focus on helping individuals low in emotional distress tolerance to cultivate self-compassion when experiencing negative emotions. It seems that the soothing affect self-compassion promotes may help these individuals to learn that feeling their distress is more tolerable than they had anticipated. This study is registered with the US Clinical Trials Registry #NCT05284578 and was funded by SSHRC Insight Grant 435-2017-0062.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,007
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Essai randomisé · Signal consensuel: Essai randomisé
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,010
Score d'incertitude au seuil0,033

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,007
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0030,003
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,001
Communication savante0,0010,002
Science ouverte0,0010,001
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,0100,001

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.

Tête enseignante Opus0,015
Tête enseignante GPT0,262
Écart entre enseignants0,247 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeEssai randomisé
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2022
Routes d'admission1
Résumé présentoui

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