DIABETES AND TECHNOLOGY FOR INCREASED ACTIVITY (DaTA)
Bibliographic record
Abstract
Physical inactivity is a primary target for prevention of cardiovascular disease and type 2 diabetes. Rural Canadians are at increased risk of metabolic syndrome - a clustering of risk factors preceding these conditions. This study investigated feasibility and effectiveness of a stage-matched physical activity intervention using novel self monitoring technologies in rural adults with metabolic syndrome. Adherence to self monitoring protocols was >94%. Stage of change increased by 1 stage (p=0.001). Physical activity increased from 5579 ± 1964 steps/day at week 1 to 7818 ± 4235 steps/day at week 8 (p=0.02). V02max increased by 17% (p<0.05). BMI decreased from 33.1 to 32.7 (p=0.016). Participants were comfortable using the technology, found it easy- to-use, of low burden, and perceived it positively. This pilot study shows that this stage- matched technology intervention for increased physical activity was feasible and effective in high-risk adults in rural Ontario.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.212 | 0.062 |
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".