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Record W2765179666 · doi:10.1139/apnm-2017-0728

Exploring the utility of cardiorespiratory fitness as a population health surveillance indicator for children and youth: An international analysis of results from the 20-m shuttle run test

2018· article· en· W2765179666 on OpenAlexaffvenueabout
Justin J. Lang

Bibliographic record

VenueApplied Physiology Nutrition and Metabolism · 2018
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsChildren's Hospital of Eastern Ontario
Fundersnot available
KeywordsCardiorespiratory fitnessMulti-stage fitness testPhysical fitnessPopulationPsychosocialGerontologyPsychologyTest (biology)MedicineDemographyPhysical therapyEnvironmental healthPsychiatry

Abstract

fetched live from OpenAlex

Emerging evidence has demonstrated the strong link between cardiorespiratory fitness and multiple aspects of health (i.e., physiological, physical, psychosocial, cognitive), independent of physical activity, among school-aged children and youth. Cardiorespiratory fitness is a trait that does not vary substantially from day-to-day, and provides an indication of recent physical activity levels, making it an important possible indicator of population health. Thus, the objective of this dissertation was to investigate the utility of cardiorespiratory fitness, measured using the 20-m shuttle run test, as a broad, holistic health indicator for population health surveillance among children and youth. To achieve this objective we completed 7 manuscripts, all prepared for submission to peer-reviewed, scientific journals: (1) Systematic review of the relationship between 20-m shuttle run performance and health indicators among children and youth. (2) Review of criterion-referenced standards for cardiorespiratory fitness: what percentage of 1 142 026 international children and youth are apparently healthy? (3) Cardiorespiratory fitness is associated with physical literacy in a large sample of Canadian children aged 8 to 12 years. (4) International variability in 20-m shuttle run performance in children and youth: Who are the fittest from a 50-country comparison? A systematic review with pooling of aggregate results. (5) Making a case for cardiorespiratory fitness surveillance among children and youth. (6) International normative 20-m shuttle run values from 1 142 026 children and youth representing 50 countries. (7) Temporal trends in the cardiorespiratory fitness of children and adolescents representing 19 high-income and upper middle-income countries between 1981 and 2014. Combined, this dissertation provides support for the importance of cardiorespiratory fitness for health surveillance among school-aged children and youth. Results from the international analysis highlighted the variability across countries, with countries in north-central Europe and Africa having the highest cardiorespiratory fitness, and countries in South America having the lowest cardiorespiratory fitness. The results indicated that declines in cardiorespiratory fitness may have stabilized in recent years in some high- and middle-income countries. This dissertation also identified 2 methods (criterion- and normative-referenced standards) to interpret cardiorespiratory fitness levels among children and youth, methods that could be used to inform future consensus, surveillance, and cardiorespiratory fitness guidelines.

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 imitation

Not 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.

metaresearch head score (Codex)0.038
metaresearch head score (Gemma)0.083
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.038
Threshold uncertainty score0.200

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0380.083
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.006
Bibliometrics0.0070.010
Science and technology studies0.0000.001
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.041
GPT teacher head0.298
Teacher spread0.256 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations11
Published2018
Admission routes3
Has abstractyes

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