CANPLAY Pedometer Normative Reference Data for 21,271 Children and 12,956 Adolescents
Bibliographic record
Abstract
PURPOSE: The mean expected values of pedometer-determined steps per day for children and adolescents have been derived primarily from isolated studies on small or specific populations. The purpose of this study is to provide sex- and age-specific normative values so that researchers, clinicians/practitioners, other childcare workers, and families can compare children's and adolescents' pedometer-determined data to that of their peers. METHODS: Data were collected between 2005 and 2011 on 21,271 children 5-12 yr and 12,956 adolescents 13-19 yr. Participants were recruited by telephone, logged their pedometer-determined steps per day for 7 d, and mailed back their logs. Normative data were provided in three formats: 1) mean steps per day by single-year age by sex; 2) increments of 5 percentile values for each single-year age by sex, smoothed within and across years; and 3) quintiles (in ascending order: lowest, lower than average, average, higher than average, and highest) for four combined age groups (5-7, 8-10, 11-14, and 15-19 yr) stratified by sex. RESULTS: Mean steps per day increased from 11,602 steps per day among 5-yr-olds to a sample peak mean value of 12,348 steps per day among 10-yr-olds, and then declined to 9778-10,073 among 15- to 19-yr-olds. Although not significantly different among 19-yr-olds, mean steps per day were higher among boys than girls at every age. CONCLUSIONS: CANPLAY data represent the largest and most comprehensive set of sex- and age-specific normative reference data for children's and adolescents' pedometer-determined physical activity to date. A clear assemblage of such values is fundamental for surveillance, screening, comparison purposes, planning strategies, prioritizing efforts and distributing resources, evaluating intervention effects, and tracking change.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".