Pivoting school health and nutrition programmes during COVID-19 in low- and middle-income countries: A scoping review
Notice bibliographique
Résumé
Background: Preventive and promotive interventions delivered by schools can support a healthy lifestyle, positive development, and well-being in children and adolescents. The coronavirus disease 2019 (COVID-19) pandemic presented unique challenges to school health and nutrition programmes due to closures and mobility restrictions. Methods: We conducted a scoping review to examine how school health and nutrition programmes pivoted during the COVID-19 pandemic, and to provide summative guidance to stakeholders in strategic immediate and long-term response efforts. We searched MEDLINE, Embase, PsycINFO, and grey literature sources for primary (observational, intervention, and programme evaluations) and secondary (reviews, best practices, and recommendations) studies conducted in low- and middle-income countries from January 2020 to June 2023. Programmes that originated in schools, which included children and adolescents (5-19.9 years) were eligible. Results: We included 23 studies in this review. They varied in their adaptation strategy and key programmatic focus, including access to school meals (n = 8), health services, such as immunisations, eye health, and water, sanitation, and hygiene-related activities (n = 4), physical activity curriculum and exercise training (n = 3), mental health counselling and curriculum (n = 3), or were multi-component in nature (n = 5). While school meals, physical activity, and mental health programmes were adapted by out-of-school administration (either in the community, households, or virtually), all health services were suspended indefinitely. Importantly, there was an overwhelming lack of quantitative data regarding modified programme coverage, utilisation, and the impact on children and adolescent health and nutrition. Conclusions: We found limited evidence of successful adaptation of school health and nutrition programme implementation during the pandemic, especially from Asia and Africa. While the adoption of the World Health Organization health-promoting school global standards and indicators is necessary at the national and school level, future research must prioritise the development of a school-based comprehensive monitoring and evaluation framework to track key indicators related to both health and nutrition of school-aged children and 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 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 | 0,008 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,004 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,003 |
| 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 ».