Risk of non‐fatal self‐harm and premature mortality in the three years following hospitalization in adolescents and young adults with an eating disorder: A nationwide population‐based study
Notice bibliographique
Résumé
INTRODUCTION: Eating disorders (ED) are associated with high rates of suicide attempts and premature mortality. However, data in large samples of adolescents and young adults are limited. This study aims to assess the risk of self-harm and premature mortality in young people hospitalized with an ED. METHODS: Individuals aged 12 to 25 years old hospitalized in 2013-2014 in France with anorexia nervosa and/or bulimia nervosa as a primary or associated diagnosis were identified from French national health records. They were compared to two control groups with no mental disorders, and with any other mental disorder than ED. The main outcomes were any hospitalization for deliberate self-harm and mortality in the 3 years following hospitalization. Logistic regression models were used. RESULTS: This study included 5, 452 patients hospitalized with an ED, 14,967 controls with no mental disorder, and 14,242 controls with a mental disorder other than an ED. During the three-year follow-up, 13.0% were hospitalized for deliberate self-harm (vs. 0.2 and 22.0%, respectively) and 0.8% died (vs. 0.03 and 0.4%). After adjustment, hospitalization with an ED was associated with more self-harm hospitalizations (hazard ratio [HR] = 46.0, 95% confidence interval [32.3-65.3]) and higher all-cause mortality (HR = 12.6 [4.3-37.3]) relative to youths without any mental disorder; less self-harm hospitalizations (HR = 0.5 [0.5-0.6]) but higher mortality (HR = 1.6 [1.0-2.4]) when compared to youths with any other mental disorder. CONCLUSION: Young patients hospitalized with an ED are at high risk of self-harm and premature mortality. It is urgent to evaluate and implement the best strategies for post-discharge care and follow-up. PUBLIC SIGNIFICANCE: We found that the risk of being hospitalized for a suicide attempt is 46 times higher and mortality 13 times higher than the general population in adolescents and young adults during the 3 years following hospitalization with an eating disorder. Eating disorders are also associated with a 1.5 higher risk of premature mortality relative to other mental disorders. This risk is particularly high in the 6 months following hospitalization. It is therefore crucial to implement careful post-discharge follow-up in patients hospitalized for eating disorders.
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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 ».