The roles of negative emotion intensity, negative emotion differentiation, and self‐compassion in loss of control eating
Notice bibliographique
Résumé
OBJECTIVE: Negative affect intensity is robustly related to binge eating, but the relationship between negative emotion differentiation (i.e., the ability to differentiate negatively-valenced emotions) and binge eating is unclear. Further, little is known about factors that might reduce emotion intensity and/or enhance emotion differentiation, thereby reducing binge eating. Self-compassion is consistently linked to less binge eating, which may be due to decreased negative affect and/or an enhanced ability to differentiate emotions. The current study examined the roles of negative emotion intensity, negative emotion differentiation, and self-compassion in binge eating using ecological momentary assessment. METHOD: Participants were 201 university students (52.2% female) who completed questionnaires assessing affect seven times a day, and engagement in loss of control (LOC) eating episodes at the end of each day, for 10 days. The average of sadness, fear, guilt, and hostility subscales represented negative emotion intensity; intraclass correlations across negative affect subscales defined negative emotion differentiation. Both daily (i.e., within-person) and trait (i.e., between-person) emotion variables were examined as predictors. RESULTS: Between-person negative emotion intensity, but not negative emotion differentiation, significantly predicted LOC eating occurrence. Self-compassion had a significant effect on LOC eating frequency, and this relationship was partially mediated via negative emotion intensity, but not via negative emotion differentiation. DISCUSSION: Lower levels of negative emotion intensity partially account for the relationship between greater self-compassion and less frequent LOC eating. These findings highlight the importance of cultivating self-compassion to down-regulate negative emotions and to reduce LOC eating. PUBLIC SIGNIFICANCE STATEMENT: Our findings suggest that university students who approach their limitations compassionately experience fewer negative emotions in daily life and engage in less loss of control eating. Lower levels of negative affect partially explain this relationship between self-compassion and loss of control eating. These results highlight the importance of cultivating an understanding and a compassionate attitude toward oneself for reducing eating pathology.
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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 | 0,001 | 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 ».