The impact of the <scp>COVID</scp>‐19 pandemic on eating disorders: A systematic review
Notice bibliographique
Résumé
OBJECTIVE: A growing body of evidence suggests that individuals with eating disorders (EDs) have experienced deteriorating symptoms, increased isolation, and an increase in hospital admissions as a result of the COVID-19 pandemic. Despite this, no systematic reviews have been conducted examining the COVID-19 and ED peer-reviewed literature. Therefore, this systematic review aimed to synthesize the impact of the COVID-19 pandemic on individuals with EDs. METHOD: Database searches of the peer-reviewed literature were completed in the subsequent databases: CINAHL, Embase, MEDLINE, and PsycINFO (from November 2019 to October 20, 2021). All research reporting on the relationship between the COVID-19 pandemic on individuals with EDs were included. RESULTS: Fifty-three studies met the inclusion criteria, including 36,485 individuals with EDs. The pooled hospital admissions across the studies demonstrated on average a 48% (pre = 591, post = 876, n = 10 studies) increase in admissions during the pandemic compared to previous pre-pandemic timepoints. In this review, 36% of studies (n = 19) documented increases in eating disorder symptoms during the pandemic, this increase in eating disorder symptoms were documented in AN, BED, BN, and OFSED patients. Studies also demonstrated increases in anxiety (n = 9) and depression (n = 8), however patterns of change appeared to be diagnostic and timing specific (e.g., lockdowns). DISCUSSION: We found a large increase in the number of hospitalizations and an increase in ED symptoms, anxiety, depression, and changes to BMI in ED patients during the pandemic. However, these changes appeared to be diagnostic and timing specific. Many qualitative studies described deterioration in ED symptomatology due to decreased access to care and treatment, changes to routine and loss of structure, negative influence of the media, and social isolation. Future studies are needed to focus on pediatric populations, new ED diagnoses, and severity of illness at presentation. PUBLIC SIGNIFICANCE: The scientific literature suggests that individuals with eating disorders have experienced deteriorating symptoms, increased isolation, and an increase in hospital admissions as a result of the COVID-19 pandemic. This study synthesized 53 articles and explored the impact of the COVID-19 pandemic on patients with eating disorders. We found increases in eating disorder symptoms during the pandemic; this increase in eating disorder symptoms was documented in patients with common eating disorders including anorexia nervosa, binge-eating disorder, bulimia nervosa, and other specified feeding and eating disorders. This review also demonstrated changes in body mass index (an index used to classify underweight, overweight, and obesity in adults) and increases in anxiety and depression during the pandemic compared to previous timepoints; patterns of change appeared to be related to timing of lockdowns. This review provides important information on the impact of COVID-19 on the physical and mental health of individuals with eating disorders.
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 | 0,009 | 0,044 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,006 | 0,007 |
| Bibliométrie | 0,011 | 0,011 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,003 | 0,003 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 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 ».