Health trajectories of children with severe obesity attending a weight management program
Bibliographic record
Abstract
PURPOSE: The objective of the present study is to examine physical and mental health trajectories of change in youth with severe obesity attending a tertiary care weight management program. It was predicted that younger children would show favourable changes in body mass index (BMI), markers of cardiovascular health, quality of life, and mental health. METHODS: This 2-year longitudinal study examined health trajectories of children referred to a weight management program at a Canadian paediatric tertiary care centre from November 2010 to December 2013. Participants were 209 of 217 consecutive referred paediatric patients (families) aged 3 to 17 years who met criteria for severe obesity and consented to participate. To maximize generalizability of results, there were no exclusion criteria. Primary outcomes were children's quality of life and BMI. Secondary outcomes included anxiety, depression, and non-high-density lipoprotein cholesterol levels. RESULTS: The findings suggest an improvement in mental health, quality of life, and cardiometabolic health of children and adolescents of all ages over the 2 years of programming. These positive findings were consistent across gender, age, and distance to the program. BMI trajectory changes varied across age cohorts such that younger children showed more favourable outcomes. The retention rate over the 2 years was high at 82.9%. CONCLUSIONS: This is the first study to show improvements in both physical and mental health outcomes beyond 1 year in a tertiary care setting with a high-risk population of children and youth with severe obesity. Findings highlight the need to examine both mental and physical health outcomes beyond 1 year.
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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 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".