4 The Impact of the COVID-19 Pandemic on Number and Severity of New Diagnoses of Restrictive Eating Disorders During Prolonged Lockdown in Ontario, Canada
Notice bibliographique
Résumé
Abstract Background The coronavirus disease 2019 (COVID-19) pandemic has had a disproportionate impact on the well-being of adolescents and young adults. Worldwide, eating disorder (ED) experts have observed worsening symptoms in youth with pre-existing EDs and an escalation in the number of new cases compared to prior years. Disruption of routine, work and school closures, as well as social isolation are potential contributing factors. The Canadian province of Ontario (specifically the most highly populated cities) experienced one of the most prolonged lock downs worldwide with approximately 20 weeks of face-to-face school closure and/or restriction to virtual learning. Objectives We sought to better understand the impact of COVID-19 on new pediatric ED presentations, patient characteristics and hospital admissions in a tertiary care Children’s Hospital. Design/Methods We completed a retrospective chart review of patients presenting for new ED assessments at a single centre pediatric ED program within a tertiary care children’s hospital between January 1st, 2015 and June 1st 2021. Patients aged 9-18 years old with a new diagnosis of Anorexia Nervosa (AN) restrictive type or binge/purge type or Other Specified Feeding and Eating Disorder (OSFED) - Atypical Anorexia Nervosa (AAN) were included. Demographic and clinical variables for pre and post pandemic were analyzed using Chi-Square and T-Tests. Interrupted time series regression was used to examine pre-pandemic and post-pandemic monthly summary data over time. Results Overall, 425 youth were newly diagnosed with AN or AAN (N=329 pre-pandemic, N=96 pandemic) during the study period (Jan 1 2015 – December 31 2020). Average age was 14.7 years (SD 1.8, range 8.1 – 17.9). Most youth were diagnosed with DSM-5 AN-restrictive type (65.6%). The number of new diagnoses of AN and AAN during the pandemic more than doubled when compared to pre-pandemic years. In the 5-year period preceding the pandemic, mean number of newly diagnosed cases was 5.1/month (ßcoeff=0.043, p=0.33), increasing to 10.6/month (p=<0.001) during the pandemic and demonstrating an upward trend coinciding with onset of lockdown measures (ßcoeff=5.95, p<0.001). At the time of initial assessment, more youth presented with medical instability and increased illness severity. Hospitalization increased from an average of 2.2/month to 6.3/month (ßcoeff -0.008 vs. 3.23, p<0.0001). Average heart rate also decreased from 58.6 bpm (SD 16.6) pre-pandemic to 53.3 bpm (SD 16.3), p<0.008. Conclusion With this study, we found a significant increase in both new diagnoses and admissions for medical instability for AN and AAN among youth at our institution during the COVID-19 pandemic. Our study contributes to the growing body of global evidence tracking the unanticipated surge of eating disorder diagnoses and severity in already under-resourced health systems. It is unclear how long the effects of the pandemic may last. Further research is required to better understand the illness trajectory and treatment outcomes of pandemic-triggered 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 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».