Pasifika Prediabetes Youth Empowerment Programme: learnings from a youth-led community-based intervention study.
Bibliographic record
Abstract
AIM: Using a co-design approach, we describe exploratory findings of a community-based intervention to mobilise Pasifika communities into action, with the intent of reducing the risk factors of prediabetes. METHOD: A group of 25 Pasifika youth aged 15-24 years from two distinctive Pasifika communities in New Zealand were trained to lead a small-scale, community-based intervention programme (among 29 participants) over the course of eight weeks. The intervention, which targeted adults aged 25-44 years who were overweight or obese, employed both an empowerment-based programme and a co-design approach to motivate community members to participate in a physical-activity-based intervention programme. RESULTS: Findings show significant reductions in total body weight and waist circumference, as well as improved physical activity. CONCLUSIONS: The strength of this intervention was evident in the innovative approach of utilising Pasifika-youth-led and co-designed approaches to motivate communities into healthier lifestyles. The approaches used in this project could be utilised in a primary healthcare setting as a community-wide strategy to reduce diabetes risk, particularly among Pasifika peoples.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".