Bibliographic record
Abstract
OBJECTIVES: This article examines relationships between parent and adolescent weight, as well as other selected characteristics and health behaviours of both, and then explores which factors are associated with youth obesity. DATA SOURCE: The analysis is based on cross-sectional household data from cycle 1.1 of the 2000/01 Canadian Community Health Survey (CCHS), conducted by Statistics Canada. The sample comprises 4,803 girls and 4,982 boys who were aged 12 to 19 in 2000/01. ANALYTICAL TECHNIQUES: Estimates of body mass index (BMI) were calculated and selected health behaviours were evaluated for adolescents and a parent who lived in the same household. Multiple logistic regression was used to identify factors associated with youth obesity while controlling for age of the youth and the sex of the reporting parent. MAIN RESULTS: For both sexes, having an obese parent greatly increased the odds for youth obesity. Among girls, former smokers had higher odds for obesity, but smoking behaviour was not associated with obesity for boys. For boys, being physically inactive or even moderately active increased the odds of obesity. And if the responding parent smoked daily, this increased the odds of obesity for boys.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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) | 0.006 | 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".