Abstract 231: Improving Physical and Mental Health Through a Community-based, Multi-disciplinary Obesity Reduction Program Promoting Social Support and Adherence
Bibliographic record
Abstract
Background: The Healthy Weights Initiative is a community-based, multi-disciplinary obesity reduction program that was developed after 153 community consultations and is delivered for free to obese adults. Social support was an important component and strongly promoted in the program. Each participant was asked to attend with “buddy” and to complete a social support contract. Methods: The initial 12 weeks of the program offered 60 group exercise sessions, 12 group cognitive therapy sessions, and 12 group dietary sessions with licensed professionals. During the second 12 week period, maintenance therapy includes 12 group exercise sessions. Results: Altogether, 234 people have completed the program (79.1%). Mean objective reductions included 12.6 lbs of body fat, 3.1 inches form the waist, 2.6 inches from the hips, blood cholesterol by 0.3 mmol/L, systolic blood pressure by 5.2 mmHg and diastolic by 2.5 mmHg. Depressed mood prevalence decreased from 45.7% to 11.7%; 84.5% of those who completed the program had improvements in health-related quality of life (HRQL), and significant increases in mean scores on eight dimensions of health were also observed (such as physical functioning, which increased by 15.5%). Using binary logistic regression, independent risk factors for not completing the program (no social support contract and lower education); not improving depressed mood after completion of the program (low general health); and not improving HRQL after completion of the program (smoking and no buddy in program) were determined. Conclusion: Comprehensive obesity reduction programs can be effective when there is extensive consultation at the community level and social support at the individual level. Successful obesity reduction programs can have important cardiovascular health implications by reducing blood pressure, blood cholesterol, and improving cardiovascular fitness.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".