Children's Organized Physical Activity Patterns From Childhood into Adolescence
Bibliographic record
Abstract
BACKGROUND: Few longitudinal studies of physical activity have included young children or used nationally representative datasets. The purpose of the current study was to explore patterns of organized physical activity for Canadian children aged 4 through 17 years. METHODS: Data from 5 cycles of the National Longitudinal Survey of Children and Youth were analyzed separately for boys (n = 4463) and girls (n = 4354) using multiple trajectory modeling. RESULTS: Boys' and girls' organized physical activity was best represented by 3 trajectory groups. For boys, these groups were labeled: high stable, high decreasing, and low decreasing participation. For girls, these groups were labeled: high decreasing, moderate stable, and low decreasing participation. Risk factors (parental education, household income, urban/rural dwelling, and single/dual parent) were explored. For boys and girls, having a parent with postsecondary education and living in a higher income household were associated with a greater likelihood of weekly participation in organized physical activity. Living in an urban area was also significantly associated with a greater likelihood of weekly participation for girls. CONCLUSIONS: Results suggest that Canadian children's organized physical activity is best represented by multiple patterns of participation that tend to peak in middle childhood and decline into adolescence.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".