Food Behaviours and Health Indicators in Manitoba Adolescents and Relation to the Healthy Eating Index
Bibliographic record
Abstract
Adolescence is a vital period of growth and development, both of which are dependent on adequate nutrition; however, concerns persist about poor nutrition and inappropriate food behaviours. In addition to nutrition assessment, the context of food and health behaviour is necessary to understand how dietary choices are shaped and related to diet quality. This study describes food-related behaviours and health indicators associated with dietary quality among adolescents in Manitoba, Canada. A stratified two-stage sampling method was used to collect data on the diet, food behaviours and health indicators of 1587 grade nine students. Diet quality was analysed using the Healthy Eating Index-Canada. Several food behaviours and health indicators varied by gender and school region (urban, rural, northern). The Independent Samples t-test and one-way ANOVA (analysis of variance) assessed differences between groups on the Healthy Eating Index-Canada. Higher Healthy Eating Index-Canada scores were found for those eating family dinners more frequently; consuming breakfast and lunch more frequently; consuming breakfast at home; eating lunch and morning snacks at school; purchasing fewer meals and snacks from cafeterias and vending machines; believing that food and nutrition education is important; not attempting to lose weight; being classified as 'healthy weight'; and getting more sleep. Many Manitoba youth are exhibiting food and health behaviours that increase their risk of having a poor diet.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".