The Effectiveness of Indigenous Knowledge-Based Lifestyle Interventions in Preventing Obesity and Type 2 Diabetes Mellitus in Indigenous Children in Canada: A Systematic Review
Bibliographic record
Abstract
Background: Indigenous children in Canada have high rates of obesity and type 2 diabetes mellitus (T2DM). Culturally appropriate interventions, guided by an Indigenous knowledge-based view of health, are crucial to target these conditions. The objective of this systematic review was to assess the impact of indigenous Knowledge-based lifestyle interventions on the prevention of obesity and T2DM in Indigenous children in Canada. Methods: Database searches were conducted from inception until February 22, 2022. The main outcomes were changes in Body Mass Index (BMI) z-score and the development of T2DM. The other outcomes included adiposity, metabolic, and lifestyle determinants of health. The GRADE approach was used to assess confidence in the evidence. Results: Four non-randomized controlled trials (non-RCTs) and six uncontrolled studies were identified. Peer-led interventions led to a reduction in BMI z-score and waist circumference. GRADE assessment revealed very low quality of evidence due to a lack of randomization and small sample sizes. There were no diabetes-specific reported programs. Conclusion: Limited evidence from non-randomized studies suggest that peer-led indigenous Knowledge-based lifestyle interventions improve BMI z-score and central adiposity. There is a need for community-owned and adequately powered randomized studies for interventions that aim to treat and prevent obesity and T2DM in Indigenous children in Canada. Systematic Review Registration: PROSPERO CRD42017072781.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".