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Record 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 on OpenAlexfundaboutno aff
Rana Jazeri

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsnot available
FundersUniversity of Saskatchewan
KeywordsMicronutrientIntervention (counseling)Food scienceSustainabilityEnvironmental healthMedicineChemistryBiologyNursing
DOInot available

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.774
Threshold uncertainty score0.450

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.254
Teacher spread0.246 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2019
Admission routes2
Has abstractyes

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