A prospective investigation of risk factors for weight gain and increases in loss of control eating
Notice bibliographique
Résumé
Background: Repeated overeating and binge eating are widespread problems in the United States, are associated with poorer psychosocial and physical health outcomes, and pose increased risk for the development of obesity and eating disorders. Individuals who are obese or engage in recurrent binge eating exhibit elevated hedonic drives for eating, impaired cognitive ability to inhibit impulsive responses to familiar stimuli (inhibitory control), and deficits in both physiological and emotional interoceptive awareness (e.g., accurate detection of satiety cues, visceral sensations such as heartbeat, and emotions). Few studies to date have examined whether these observed deficits precede and contribute to the subsequent development of binge eating and weight gain (potentially leading to obesity), or whether they develop concurrently with progressive worsening of dysregulated eating. Methods: The present study explored the extent to which inhibitory control (measured through a response inhibition task), hedonic hunger (as measured by the Power of Food Scale), impaired interoceptive sensitivity (measured via the Heart Beat Perception Task), and alexithymia (as measured by the Toronto Alexithymia Scale), predict weight gain and changes in LOC among a sample of undergraduate women, who are at elevated risk for such outcomes. Participants (N = 102) were assessed at the beginning of the academic year; 93 participants returned for follow-up seven months later (retention: 91%). It was hypothesized that: (1) weight gain would be negatively predicted by inhibitory control performance, and positively predicted by hedonic hunger, physiological interoceptive deficits, and alexithymia; and (2) increases in LOC eating would be negatively predicted by inhibitory control performance, but positively predicted by hedonic hunger, interoceptive deficits, and alexithymia. Results: For a majority of participants, weight and LOC eating behavior remained relatively stable during the study period. Results from multiple linear regression indicated that the predictors of interest were only weakly associated with weight gain and increases in LOC eating severity. Moreover, individuals who gained or lost substantial amounts of weight (> 3.0 lbs.) did not differ from their weight-stable peers on the predictors of interest at baseline. Compared to participants who experience no binge eating, individuals who endorsed binge episodes at either time point exhibited elevations in LOC severity and hedonic hunger at baseline and follow-up. However, they did not demonstrate significant or meaningful baseline differences on any other predictors of interest. Discussion: Results suggest that undergraduate women experience relative stability in weight and eating habits in the short term. Moreover, hedonic hunger, inhibitory control, interoceptive deficits, and alexithymia, are poor predictors of weight gain and changes in LOC eating severity among those who do experience change. Implications for these null findings among a nonclinical sample are discussed.
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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 | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| 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 | 0,001 | 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 ».