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Enregistrement W4384028818 · doi:10.5539/ass.v19n4p55

The Reality of School Nutrition Programs as Perceived by Teachers: A Case Study of Primary Schools in Khotang, Nepal

2023· article· en· W4384028818 sur OpenAlexvenueno aff
Dinesh Prasad Joshi Ratala, Sharad Chandra, Subodh Dahal, Baburam Niraula

Notice bibliographique

RevueAsian Social Science · 2023
Typearticle
Langueen
DomaineMedicine
ThématiquePublic Health and Nutrition
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedical educationCurriculumNutrition EducationSustainabilityPsychologyFocus groupAttendanceGovernment (linguistics)MedicinePedagogyGerontologyPolitical scienceBusinessMarketing

Résumé

récupéré en direct d'OpenAlex

Background: The school environment is crucial in the formulation of healthy eating habits, promoting healthy action and nutrition education. School Health and Nutrition (SHN) Programs conducted globally have resulted in improved nutrition knowledge, attitude and behavior of students. Such programs aim to improve school attendance and nutrition outcomes mainly through food or cash transfer, depending on the situation. The Government of Nepal prioritizes SHNs for primary school students through the support of various national and international organizations. However, SHN Programs carried throughout the country are neither similar nor widespread. Nutrition education includes curriculum enhancement, parental involvement, hands-on activities, gardening and physical activities. In this regard, teachers may influence the feasibility of nutrition education and improve dietary behavior among students of poor households. Sustainable SHN Programs envision long term operation/functioning and local development by reducing external dependency with better program activities. The sustainability of such programs depends on parents’ participation, resource availability and the conduction of various activities. Sustainability of the SHN Program is crucial not only to improve student’s diet quality and academic performance, but also to enhance their physical and social functioning. Objective: Aim of this study is to assess teachers’ perception towards different nutrition modalities implemented at four different primary schools in Khotang district of Nepal. Methodology: The study was conducted at four schools in Eastern Nepal running different SHN Programs. Data was collected from extensive Focus Group Discussion (FGD) with the school Principals, nutrition focal persons and other teachers at each school. A total of four FGDs were conducted in early months of 2022 with a total of 20 participants (teachers). The obtained data was analyzed qualitatively to gain an in-depth understanding of school nutrition modality in practice. Results: The surveyed schools followed their own nutrition modality based on their most suitability and effectiveness for implementation. Nutrition modalities, namely i) Home-based meal, ii) Direct parents’ participation, iii) Government program and iv.) Catered-based programs were implemented in four different schools. Home based nutrition with direct parents’ participation tends to reduce the need for extra financial resources. Cash and catering based modality require fund transfers for carrying out the programs effectively. This kind of modality also incur higher administrative costs. Modality with parents’ involvement is able to overcome resource challenges, improve nutritious diet and academic performance of students. Conclusion: Nutrition modality improves nutritional knowledge, develops healthy food perception and alters eating habits among children. School nutrition modality ranges with various activities depending on the availability of resources, and parents’ participation. The dependency on external sources in the operational process undermines the sustainability of SHN programs while parental involvement is crucial for its successful implementation. Therefore, there is a need for SHN programs to move beyond the traditional one-time feeding strategy towards continuous and well-monitored dietary programs for their sustainability.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,727
Score d'incertitude au seuil0,586

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,002
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,049
Tête enseignante GPT0,381
Écart entre enseignants0,332 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2023
Routes d'admission1
Résumé présentoui

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