Evaluation of a Family Education Program: For Overweight Children and Adolescents
Bibliographic record
Abstract
Increased child and youth overweight and obesity, as well as significant health effects associated with obesity, have led to recommendations for multicomponent prevention programs. In 2005 to 2006, the former Calgary Health Region (now Alberta Health Services) had an opportunity to develop, deliver, and evaluate an early intervention service for families with children at risk for overweight and obesity. Using available evidence and with access to key advisors, core team members developed and implemented a curriculum for a family-focused, behaviour-based education program entitled Make It HAPPEN. A health-centred approach based on the physical, mental, and social well-being of the whole child was used. Physical, self-esteem, and quality-of-life measures were included in program evaluation. After the program, statistically significant reductions in body mass index (BMI) percentile and z-score were seen, as were increases in quality of life. Self-esteem improved significantly for children with initial BMI percentiles of at least 98. Evaluation results indicate that an effective program can be developed with limited resources to meet best practice needs. Potentially, such programs could be integrated into other community obesity prevention programs or within primary health services models.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".