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Enregistrement W2965087312

Macro and micronutrient content of foods served to 3-5-year-old children before and after pulse intervention and factors influencing the sustainability of pulse-based foods in Saskatoon childcare centres

2019· dissertation· en· W2965087312 sur OpenAlexfundaboutno aff
Rana Jazeri

Notice bibliographique

Revuenon disponible
Typedissertation
Langueen
DomaineMedicine
ThématiqueObesity, Physical Activity, Diet
Établissements canadiensnon disponible
Organismes subventionnairesUniversity of Saskatchewan
Mots-clésMicronutrientIntervention (counseling)Food scienceSustainabilityEnvironmental healthMedicineChemistryBiologyNursing
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

This study examined pre and post-intervention macro- and micronutrient content of regular and pulse-based intervention meals served to 3-5-year old (yo) children at four Saskatoon childcare centres (CCs); and factors, which are perceived as important for the adoption, implementation, and continuation of a pulse-based nutrition education intervention at CCs. The Pulse Discovery Tool Kit (PDTK) was an intervention introduced into four CCs in Saskatoon in order to promote pulse-based foods. In the present multi-methods study: quantitative analysis of macronutrient and micronutrient content of thirteen regular menu items and four pulse-based intervention recipes was carried out; as well as an analysis of plate waste data obtained previously that measured food preferences of 3-5 yo children. The following macro- and micronutrients were measured: calories, carbohydrates, fats, saturated fats, proteins, sodium, total fibre, calcium, folate, iron, magnesium, potassium, zinc and the vitamins A and C. The results for the macro- and micronutrients were calculated for 100g of each type of food. In addition, qualitative data was obtained from school staff one year following to determine the sustainability of the PDTK intervention. Results showed that pulse-based foods provided fewer calories, similar amounts of protein and carbohydrates, higher fiber, lower fat and unsaturated fats, and similar amounts of micronutrients such as calcium, iron, magnesium, potassium, sodium, zinc, folate and the vitamins C and A. With respect to plate waste, it varied from a low of 5.4% for beef tacos and a high of 78% for ranch dip. Generally, the plate waste was higher for the pulse-based foods as compared to the regular foods. This indicated that the children did not like the pulse-based foods, perhaps because they were not familiar with pulses and due to a reluctance to try a novel food. The staff interviews revealed six themes: knowledge of the CC food guidelines; length of time it took to cook the recipes; the effort in preparing the pulse recipes; price of the pulses; fatiguing the children with too many pulse-based foods; and the difficulty in having the kids eat the PDTK recipes. It was found that the staff were generally aware of the provincial and federal guidelines for foods served to children at CCs. However, all of the cooks, and some directors, felt that the pulse-based food recipes were time-consuming and too complex to make. Price was not seen as a factor in the serving of pulses in CCs. However, all of the staff were wary of fatiguing the children with too many pulse foods and noted that the children, on the whole, did not like eating the pulse foods. The reasons for this, according to the staff, were due to pulses being novel and the texture of the pulse-based foods. Although the cooks at the CCs used small amounts of pulses in some of their foods, they did not make any of the pulse foods that were made during the PDTK intervention. Overall, this study revealed that pulses are an excellent plant-based alternative to meats and other food sources, and are in line with the recommendations of Health Canada’s food guidelines. However, the recipes used in the intervention were time consuming and not liked by the children, as evidenced by the food wastage data. Therefore, other recipes, which are less time consuming and more liking to the children, should be explored.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,774
Score d'incertitude au seuil0,450

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0010,000
Communication savante0,0010,000
Science ouverte0,0000,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,008
Tête enseignante GPT0,254
Écart entre enseignants0,246 · 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 source (Gemma direct ou Codex distillé), 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

Citations0
Publié2019
Routes d'admission2
Résumé présentoui

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