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Record W7162014270 · doi:10.82308/48740

Dietary outcomes of a school-based trial to reduce risk factors for coronary heart disease

2000· dissertation· en· W7162014270 on OpenAlexaboutno aff
Krista. Esslinger

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldMedicine
TopicNutritional Studies and Diet
Canadian institutionsnot available
Fundersnot available
KeywordsAnthropometryMicronutrientCoronary heart diseaseIntervention (counseling)Health promotionVitaminNutrient

Abstract

fetched live from OpenAlex

The dietary outcomes of a school-based heart health promotion program in a low-income, multiethnic, inner-city neighbourhood of Montreal, Canada, were investigated. Eight intervention schools and sixteen control schools participated in the project from 1993 to 1997. Twenty-four hour recall data, as well as data on anthropometric and sociodemographic characteristics, were collected from a subsample of all students in grades 4--6 (aged 9--12 years) at baseline (n = 498), after two years (n = 491), and after four years (n = 347). There were no significant differ in nutrient intakes between 1995 and 1997, so these data were combined for analyses. Compared to students in control schools, students exposed to the program had a significantly increased mean intake of vitamin C per 1000 kcal (4184 kJ) (p = 0.0013). Compared to students in designated intervention schools at baseline, mean make of vitamin C per 1000 kcal was significantly increased (p = 0.002) and mean folate intake was significantly domed (p = 0.0058) in exposed to the program. When the intervention group was restricted to only those students who had received 16 hours or more of program exposure (n = 113), there were no significant differences in any nutrient intakes when compared to control students or students in intervention schools at baseline. This program was unsuccessful in changing nutrient intakes of school-aged children, contributing further evidence that conscious dietary change is difficult to achieve by means of a school-based program with a reasonable number of curriculum hours.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.044
GPT teacher head0.355
Teacher spread0.311 · 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 designRandomized trial
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
Published2000
Admission routes1
Has abstractyes

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