Adolescents with Severe Obesity: Outcomes of Participation in an Intensive Obesity Management Program
Bibliographic record
Abstract
Objective: To evaluate the SickKids Team Obesity Management Program (STOMP), an obesity management program for severely obese adolescents.\nMethods: Non-randomized study of 6 and 12 month outcomes in STOMP patients vs. a comparison group of obese adolescents. \nResults: At 6 months, STOMP patients stabilized their BMI (0.08±0.3 kg/m2;p=0.79) and reported improved psychological and health behaviour measures, whereas comparison participants increased their BMI (0.7±0.2 kg/m2;p=0.004) and had worsening of cardiometabolic outcomes. Between-group differences included improved cardiometabolic, psychological and health behaviour measures in STOMP patients. At 12 months, STOMP patients stabilized their BMI (0.8±0.5 kg/m2;p=0.07), had improvements in anthropometric and cardiometabolic outcomes and reported an increase in health behaviours, whereas comparison participants increased their BMI (1.2±0.4 kg/m2;p=0.001) and had worsening of cardiometabolic outcomes. Between-group differences included improved anthropometric, cardiometabolic and health behaviour outcomes in STOMP patients. \nConclusions: Participation in STOMP improved anthropometric, cardiometabolic, psychological and health behaviour outcomes among severely obese adolescents.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".