Momentary appearance focused self‐concept is associated with dietary restraint and binge eating in female university students: An experience sampling study
Notice bibliographique
Résumé
OBJECTIVE: Appearance focused self-concept (i.e., overvaluing the importance of appearance for self-definition and self-worth) is theorized to predict dietary restraint and binge eating in the short-term (e.g., daily life). Yet, no research has examined whether appearance focused self-concept increases within-persons during a day and if such increases are linked to greater dietary restraint and binge eating for that day. We addressed this gap in knowledge. METHOD: Sixty-three female university students completed four items from the Beliefs About Appearance Scale as a measure of appearance focused self-concept six times per day (9 am, 11 am, 1 pm, 3 pm, 5 pm, and 7 pm) for 14 days. Daily at 9 pm, they completed measures of dietary restraint and binge eating for that day. RESULTS: Analyzing data from 555 days, latent growth curve analyses revealed a small-to-moderate linear increase in appearance focused self-concept from 9 am to 3 pm that plateaued from 3 to 7 pm. A more rapid linear increase in appearance focused self-concept from 9 am to 3 pm was associated with greater binge-eating frequency during that day, but not with dietary restraint. The findings were observed when adjusting for between-day appearance focused self-concept at 9 am, which was positively associated with dietary restraint and binge-eating frequency. DISCUSSION: Findings are discussed in relation to research on appearance focused self-concept as a risk factor for disordered eating. Findings are also discussed in relation to how sociocultural factors may increase appearance focused self-concept over time. Future research should delve into the within-day dynamic interplay between appearance focused self-concept and disordered eating. PUBLIC SIGNIFICANCE: Our study revealed a noteworthy increase in the importance women attach to their appearance over the course of a day, correlating with increased binge eating during that day. Additionally, heightened appearance importance at the onset of a day was associated with more dietary restraint and binge eating during that day. These findings suggest a shorter timescale for the connection between appearance importance and disordered eating than previously understood.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 source (Gemma direct ou Codex distillé), 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 ».