Weighing in on COVID‐19: The impact of the pandemic on children and adolescents with obesity participating in a weight management program
Bibliographic record
Abstract
BACKGROUND: COVID-19 mitigation measures, including closures of schools and recreational facilities and alterations in eating behaviours and physical activity, may impact weight. OBJECTIVE: To examine changes in body weight and body mass index (BMI) in children and adolescents with obesity participating in an obesity treatment program before and during the COVID-19 pandemic in Ontario, Canada. METHODS: Body weight and BMI at baseline and 6 months were recorded for the 'historic' cohort (females = 34, males = 21) before the pandemic (November 1, 2018, to March 18, 2020) and for the 'pandemic' cohort (females = 30, males = 30) during the pandemic (March 19, 2020 to July 31, 2021). Analyses were adjusted for baseline weight/BMI, age, and ON-Marg score, a measure of the social determinants of health. RESULTS: , p = 0.027) were greater in the pandemic compared with historic cohort. In females, body weight (p = 0.769) and BMI (p = 0.548) were not different between the two cohorts. CONCLUSION: The COVID-19 pandemic may have diminished the health impacts of a weight management program, particularly in males, leading to increased body weight and BMI.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".