Self-Rated Health in Children at Risk for Obesity: Associations of Physical Activity, Sedentary Behavior, and BMI
Bibliographic record
Abstract
BACKGROUND: Self-rated health (SRH) is a common indicator of health-related quality of life; however, little is known about SRH in children. This study explored the associations of physical activity (PA), sedentary behavior (SED), and BMI with SRH in children at risk for obesity. METHODS: Participants were 527 children aged 8-10 years in the Quebec Adipose and Lifestyle Investigation in Youth study (inclusion criteria: ≥ 1 parent clinically obese). PA and SED were measured by accelerometer, specific SED behaviors by self-report, and height and weight measured. RESULTS: About 40% of children were overweight or obese; 48% reported less-than- excellent health. The odds of reporting less-than-excellent health were higher among obese girls (OR 3.0, 95% CI 1.4-5.2) and boys (OR 2.7, 95% CI 1.5-6.1) versus healthy weight children. Boys not meeting PA guidelines and boys in the lowest moderate-to-vigorous PA tertile were at 2 and 6 times higher odds of less-than-excellent SRH, respectively, versus more active boys. In girls, higher computer/video time and reading time were associated with higher and lower odds of less-than-excellent SRH, respectively. CONCLUSIONS: Obesity is inversely associated with SRH in boys and girls, PA is positively associated with SRH in boys, and SED behaviors are associated with SRH in girls.
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 | 0.001 | 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".