Health-Related Criterion-Referenced cut-Points for the 20 Meter Shuttle Run Test Among Children and Youth – An Exploration and Meta-Analysis
Bibliographic record
Abstract
Cardiorespiratory fitness (CRF) is significantly related to current and future physical and psychosocial health in youth making it an important indicator in the measurement and surveillance of population health.The aim of this research was to explore metaanalytical techniques with aggregate published health-related criterion-referenced cutpoints for 𝑉 ̇O2peak in youth developed using the 20 meter shuttle run test (20mSRT) and explore age, sex, prediction equation, country, and health indicator related differences.We included thirteen articles representing 114,145 children and youth aged 6-18 years across 18 countries who completed the 20mSRT.Significant heterogeneity was demonstrated across all sub-group analyses.This may be explained by direct and indirect variables related to each co-factor and the pooling of data within the studies disregarding age and maturation of the participants or health outcome definition.Future research needs to use standardized approaches and include sex-, age-, and culturally diverse cut-points to reduce heterogeneity between studies.
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 | 0.030 | 0.057 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.030 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".