Weight discrimination and eating disorder symptoms in early adolescence: a prospective cohort study
Notice bibliographique
Résumé
Abstract Background Weight discrimination is associated with adverse outcomes, including eating disorder (ED) symptoms, but few longitudinal studies have investigated this relationship in early adolescence. We examined the prospective association of weight discrimination with ED symptoms one year later in early adolescents, and the extent to which this association was moderated by body mass index (BMI) percentile and sex. Methods We analyzed prospective data from Year 2 (2018–2020) and Year 3 (2019–2021) of the Adolescent Brain Cognitive Development (ABCD) Study (N = 9,079). To estimate the associations between self-reported experiences of weight discrimination in Year 2 and ED symptoms in Year 3, we conducted multiple logistic and ordinal logistic regression analyses, controlling for potential covariates, including ED symptoms in Year 2. Weight discrimination was measured using the Perceived Discrimination Scale. Presence of various ED symptoms was assessed via parent report using the Kiddie Schedule for Affective Disorders and Schizophrenia (KSADS-5). Participant BMI percentile and sex were also investigated as potential moderators. Results Weight discrimination was prospectively associated with higher odds of worry about weight gain (adjusted odds ratio [aOR] 2.12, 95% confidence interval [CI] 1.08–4.14, p = 0.028), self-worth tied to weight (aOR 3.75, 95% CI 2.54–5.55, p < 0.001), inappropriate compensatory behaviors to prevent weight gain (aOR 2.75, 95% CI 2.02–3.74, p < 0.001), binge eating symptoms (aOR 1.72, 95% CI 1.10–2.68, p = 0.018), and distress about binge eating (aOR 2.26, 95% CI 1.33–3.85, p = 0.002) one year later. Weight discrimination was also associated with higher odds of a greater number of overall ED symptoms one year later (aOR 2.21, 95% CI 1.61–3.03, p < 0.001). A significant interaction by BMI percentile was also found: in adolescents with BMI of 5th to < 85th percentile, weight discrimination was more strongly and prospectively associated with higher odds of binge eating symptoms (aOR 3.32, 95% CI 1.27–8.68, p = 0.015) and binge eating distress (aOR 5.11, 95% CI 2.10–12.44, p < 0.001). Conclusions Results support a prospective relationship between perceived weight discrimination and ED symptoms in early adolescents, and the differential associations based on BMI percentile highlight the need for interventions that address weight stigma across the weight spectrum.
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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) | 0,000 | 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) | 0,042 | 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 ».