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Record W6996530270

The school food environment and elementary students’ food and nutrition-related knowledge, attitudes, and practices in Saskatoon, Saskatchewan

2023· dissertation· en· W6996530270 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity Library (University of Saskatchewan) · 2023
Typedissertation
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsnot available
Fundersnot available
KeywordsSchool mealConsumption (sociology)Food consumptionMealConsistency (knowledge bases)School classFood intakeFood group
DOInot available

Abstract

fetched live from OpenAlex

Background: Globally, close to three-quarters of children get lunch at school. In Canada, regional or provincial systems exist to provide some school snack and meal programs, although there is little consistency among them. Research indicates that home-packed foods are likely to be lower in nutritional value than school-provided meals.\nPurpose: The purpose of this study is to assess the school food environment and the frequency of consumption of different food and drinks by children during school hours, as well as the knowledge, attitudes, and practices of school children on food and nutrition.\nMethods: Four elementary schools were selected for this study by the Saskatoon Public School Division from among those that currently have small lunch programs. A self-administered online questionnaire was used to collect data during class time with students in grades 4-6, with teachers and research personnel on hand to address any questions. A total of 185 elementary school children participated in the survey. In addition, 94 staff surveys were collected to supplement the children’s information to examine aspects of the food environment available in the schools. \nResults: Among the students, 54.5% declared their gender as male and 74.7% reported being born in Canada. Approximately 46.7% and 46.2% of students reported school-day daily consumption of fruits and vegetables and dairy products/dairy alternatives, respectively. Thirty-four percent of respondents reported daily school hours consumption of sweets and sweetened beverages, and 31% consumed meat and meat alternatives. Results show that 38.2% of the student participants reported food insecurity. Children who self-reported as Asian, Arab, and African consumed 7.16 times more often meat and meat alternatives than First Nations, Inuit, and Métis children (CI: 1.33-38.60). Students who reported being born outside Canada consumed snack foods and desserts more frequently than those born in Canada (OR: 2.81, CI:1.05-7.55). Male students were significantly less likely to report school hours sugar and sweetened beverages consumption compared to females (OR: 0.42, CI: 0.18-0.98), and food-secure children consumed unhealthy beverages less frequently compared to food-insecure children (OR: 0.40, CI: 0.17-0.94). From the staff surveys, results showed that “healthy food support” was the most developed food environment domain in the two schools, while composting was the least developed domain.\nConclusion: Implementation of a universal, curriculum-integrated, healthy school lunch program may enhance the school food environment and the school hours diet quality of children. In addition, it may improve elementary students’ food and nutrition-related knowledge, attitudes, and practices.

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)0.000
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 score0.106
Threshold uncertainty score0.213

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.011
GPT teacher head0.229
Teacher spread0.218 · 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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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