The Healthy Weights Initiative: results from the first 2,000 participants
Bibliographic record
Abstract
Background: A free, comprehensive, adult obesity reduction program was initiated in the cities of Moose Jaw and Regina, Saskatchewan, Canada. Objective: This study aimed to determine the short-term and long-term adherence outcomes, identify factors that impact long-term adherence, and measure health outcomes. Methods: The Healthy Weights Initiative (HWI) attendance was determined by using an electronic swipe card. An on-site exercise therapist also documented physical activity, duration, and intensity, as well as attendance of dietary and cognitive behavioral therapy education classes. Logistic regression determined which factors were associated with long-term adherence (exercising three times per week at 1 year) and various health outcomes. Results: In this study, 2,167 participants started and 2,000 completed the 24-week program (92.3%). Upon 24-week completion, the majority of the participants in Moose Jaw (59.0%) and Regina (63.1%) purchased 1-year fitness memberships at the YMCA. At 1 year, 79.8% of the participants were exercising three times a week or more at the Moose Jaw YMCA. Logistic regression revealed that participants who did not exercise three times a week at 1 year at the YMCA were more likely to have a spouse/partner who did not support the program (OR=2.01; 95% CI=1.81–2.22) and more likely to have a medical comorbidity (OR=1.22; 95% CI=1.03–1.49). At 24 weeks, average weight loss was modest (12.7 pounds) and regressed slightly at 1 year (10.4 pounds). However, at 24 weeks, many health gains were statistically significant and were maintained for 1 year. For example, the prevalence of depressed mood reduced from 49.0% at baseline to 13.0% at 24 weeks and increased to 19.0% at 1 year ( P =0.000). Conclusion: We found that the availability of a community-based weight management program (Healthy Weights Initiative) demonstrated good adherence, modest weight loss, and positive health outcomes. Keywords: obesity, community-based intervention, social support, program adherence
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".