The impact of the COVID-19 pandemic on children and adolescents eating disorders: A systematic review
Notice bibliographique
Résumé
• The COVID-19 pandemic had a negative impact on eating disorders. • Several factors were associated with children and adolescent’s eating disorders. • Factors included gender, age, sporting activities, and economic and social support. • Targeted measures need to be in place for future public health crisis. During the COVID-19 pandemic an increased prevalence of eating disorders was seen globally. For vulnerable groups, in particular children and adolescents, public health measures including lockdowns, limited in-person healthcare access, increased focus on handwashing and sanitization, and the increased fear related to the COVID-19 pandemic had a profound negative impact on this population. Despite the increased vulnerability of these children and adolescents to eating disorders during the pandemic and the trend observed, there has been limited research in this area. Hence, this systematic review aims to identify the impact of COVID-19 on eating disorders among children and adolescents globally. Using PRISMA guidelines, a systematic search of 8 databases was conducted. We identified 4428 results, of which 250 studies were selected for full-text review. Of these, 42 studies were synthesized for our final analysis. We found that the majority of studies (83%) reported that the COVID-19 pandemic and related public health measures had a negative impact on eating disorders among youth and adolescents. We also found several individual, household and socio-structural factors associated with the worsening of eating disorders. Specifically, 17% of studies found that pandemic-origin fears and stress increased eating disorder-related outcomes. Twelve percent of studies reported parental influence to be associated with eating disorders during the COVID-19 pandemic and 14% of studies linked the loss of health services to an increase in eating disorders. In addition, age, gender, social support, co-morbidities or pre-existing symptoms and media were significantly associated with children and adolescent’s eating disorders. Various factors stemming from the COVID-19 pandemic were found to have increased the prevalence of eating disorders in children and adolescents. Based on these findings, we suggest several policy implications and future areas of research.
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 | 0,007 | 0,036 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,007 | 0,008 |
| Bibliométrie | 0,010 | 0,011 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 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 ».