Assessing and catalyzing adoption and implementation of the Alberta Nutrition Guidelines for Children and Youth in recreational sports settings
Bibliographic record
Abstract
Although the mandate of recreational facilities is to enhance well-being, many have unhealthy food environments that may paradoxically increase obesity risk. The Alberta Nutrition Guidelines for Children and Youth (ANGCY) are government-initiated, voluntary guidelines intended to facilitate children’s access to healthy food and beverage choices in recreational facilities. The purpose of these studies was to investigate (i) awareness, adoption, and implementation of the ANGCY; (ii) factors that influenced uptake of the ANGCY and the nature of the food environment within 3 cases: an adopter, a semi-adopter, and a non-adopter of the ANGCY; and (iii) practical strategies to support healthy food purchases by patrons in recreational settings. Findings from a provincial survey (n = 151 recreational facilities) showed that one-half of facilities had heard of the ANGCY and only 6% had implemented them 1 year following their release. A multiple case study revealed that managers were nutritional gate-keepers of recreational facility food environments, their nutrition-related knowledge, beliefs, and perceptions shaped their adoption and implementation of the ANGCY. Intersectoral linkages with schools and health-promoting partnerships with industry were also important for adoption and implementation to occur. Financial constraints emerged as a strong and consistent barrier to ANGCY uptake. Managers from industry who adopted the ANGCY took a long-term view of profitability and were willing to take small risks, sacrificing short-term profitability to remain on the leading edge of market trends. An intervention tested the impact of increased availability of healthy items, 2 nudges and an economic incentive on purchase of healthy items by patrons at an outdoor community pool. Food availability proved to be an independent environmental determinant of food purchasing behaviours in this context, while mixed evidence was found for the efficacy of nudging. Price reductions appeared ineffectual in this setting. Overall, findings suggest that ANGCY uptake may continue to falter under the current voluntary approach, as the environmental supports for voluntary action are poor and managers fear revenue loss. Multiple strategies will be needed to optimize food selection in recreational settings; however, increasing the availability of healthy foods offers significant potential to improve patrons’ food-purchasing behaviours.
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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 | 0.011 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".