Strategies for Promoting Healthy Nutrition and Physical Activity Among Young Children: Priorities of Two Indigenous Communities in Canada
Bibliographic record
Abstract
BACKGROUND: Indigenous people in Canada carry a disproportionate burden of obesity and obesity-related diseases compared with non-Indigenous Canadians, which could be related to intergenerational trauma exposures. Implementing effective health promotion strategies to improve nutrition and physical activity behaviors during early childhood could be a strategy to mitigate the burden of intergenerational trauma exposures that have the potential to impact the trajectory to obesity and related complications throughout the lifecycle. OBJECTIVES: The aim of this study was to support 2 Indigenous communities in identifying priorities and strategies for promoting healthy nutrition and physical activity for young children. METHODS: = 37 participants), followed by a qualitative descriptive study. In this latter study, in-depth interviews were conducted with a purposeful sample of 23 community parents, health care providers, and traditional knowledge holders. Data from both study phases were analyzed and synthesized using conventional content analysis. RESULTS: To promote healthy nutrition and physical activity among young children living in Indigenous communities, it was identified that the primary pathway to health and well-being must prioritize the integration of knowledge about Indigenous ways of life including traditional Indigenous foods and physical activities. Participants also identified individual/family and community/contextual factors that ultimately influence the nutrition and physical activity of children in their communities. CONCLUSIONS: Informed by this formative study conducted to better understand community members' strategies for healthy eating and physical activity for young children, we argue for the continued recognition of the unique Indigenous context, incorporating the history of inequity and injustice and looking toward Indigenous-led interventions that incorporate this history and ways of life as solutions in the future.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.027 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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".