The impact of COVID-19 on adolescents with eating disorders: a cohort study
Notice bibliographique
Résumé
BACKGROUND: There is a noticeable lack of evidence regarding the impact of COVID-19 and the associated lockdown on young people with eating disorders. The goals of this study were 1) to examine characteristics of adolescents presenting for eating disorder (ED) assessment since the onset of the COVID-19 pandemic; 2) to compare adolescents presenting for ED assessment since the onset of the COVID-19 pandemic to those that presented for assessment 1 year previously; 3) to examine implications of the pandemic on the system of care. METHODS: A retrospective chart review was completed on all patients assessed at a pediatric tertiary care ED program during the pandemic between April 1 and October 31, 2020, and on youth assessed during the same time frame 1 year previously. Data including body measurements and results of psychological measures was extracted from patients' charts. Clinician reports were utilized for accounts of ED symptoms. Referrals to our program were also compared for the two time periods. RESULTS: Of the 48 youth assessed between April and October 2020, average age was 14.6 years and average percentage of treatment goal weight was 77.7%. 40% cited the pandemic as a trigger for their ED; of these youth, 78.9% were medically unstable compared to 55.2% of those whose ED was not triggered by the pandemic. When comparing the 2020 cohort to those assessed in 2019, youth who presented for assessment during the pandemic trended towards having lower percentage of goal weights and higher rates of self-reported impairment, and were significantly more likely to be medically unstable (p = 0.005) and to require hospitalization (p = 0.005). Higher rates of inpatient admissions, emergency room consultation requests and outpatient referrals deemed "urgent" were likewise associated with the pandemic period. CONCLUSIONS: During the COVID-19 pandemic, youth assessed for an ED presented with high rates of medical instability and need for hospitalization. Caring for these youth may be more challenging during the pandemic, when access to services may be limited. Further research is required to better understand the impact of the pandemic on the clinical course and outcomes of EDs in adolescents.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».