Health Promotion and Childhood Obesity among Indigenous Children: Understanding Community Priorities, Prevention Programs, and Protective Factors
Bibliographic record
Abstract
The global prevalence of childhood overweight and obesity has more than quadrupled in the last 40 years. Emerging evidence suggests that the propensity to develop non-communicable chronic diseases, including obesity, is rooted in early-life exposures. There are populations that have a more significant burden of childhood obesity and related complications, in Canada this includes Indigenous peoples. The higher burden of obesity and non-communicable chronic diseases is explicitly rooted in the social determinants of health, and any discussion of the determinants of health for Indigenous peoples in Canada should be inclusive of historical and present-day contextual factors that have ongoing impacts on health outcomes including colonialism, racism, and self-determination. With a guiding framework of community-based participatory research this thesis consists of two published manuscripts and one manuscript prepared for submission. The work is woven together by the theme of understanding community priorities, effectiveness of programs, and determinants for obesity prevention strategies among Indigenous children. The first study is a qualitative descriptive study in partnership with two First Nations communities in Canada. The objective of the study was to support two Indigenous communities in identifying priorities and strategies for promoting healthy nutrition and physical activity for young children. The second study is a systematic review which sought to describe the effectiveness of programs aimed at obesity prevention and/or the promotion of healthy lifestyle behaviours for Indigenous children. The last study examines how factors including social disadvantage, maternal education, maternal diet, and traditional birth practices are associated with infant diet at age 1-year. The final chapter describes the implications of the findings.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| 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".