Promoting Healthy Beverage Consumption Habits Among Elementary School Children: Evaluating the Healthy Kids Community Challenge 'Water Does Wonders' Interventions in London, Ontario
Bibliographic record
Abstract
Childhood obesity is a major public health concern and has been attributed to poor diet, among other factors. Sugar-sweetened beverage (SSB) consumption, in particular, has been linked to excess weight gain in childhood, while water consumption is a protective factor. Taking advantage of the Water Does Wonders theme of the Healthy Kids Community Challenge, an initiative by the provincial government to promote water consumption, this thesis uses pre-post surveys of children aged 8-14 years to examine (a) the association between knowledge and beverage consumption habits, and (b) the effectiveness of a school- based education and environment intervention to reduce SSB and/or increase water consumption in elementary school children. Results suggest a significant positive association between knowledge and healthy beverage intake, however no discernable differences in water and SSB consumption or knowledge following the intervention were observed. Future research should explore how best to translate the knowledge-practice link into sustainable behavioural change.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".