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International Olympic Committee consensus statement on the health and fitness of young people through physical activity and sport

2011· article· en· W975046612 on OpenAlexaff
Margo Mountjoy, Lars Bo Andersen, Neil Armstrong, Stuart Biddle, Colin Boreham, Ulf Ekelund, Lars Engebretsen, Ken Hardman, Andrew P. Hills, Sonja Kahlmeier, Susi Kriemler, Estelle V. Lambert, Arne Ljungqvist, Victor Keihan Rodrigues Matsudo, Heather McKay, Lyle J. Micheli, Russell R. Pate, Patrick Schamasch, Carl Johan Sundberg, Grant R. Tomkinson, Esther van Sluijs, Willem van Mechelen

Bibliographic record

VenueBritish Journal of Sports Medicine · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicHermeneutics and Narrative Identity
Canadian institutionsUniversity of British ColumbiaUniversity of Guelph
FundersEconomic and Social Research Council
KeywordsPhysical activityPhysical fitnessPolitical scienceMedicinePhysical therapy

Abstract

fetched live from OpenAlex

The International Olympic Committee (IOC) recognises the health and fi tness benefi ts of physical activity (PA) and sport as stated in recommendation #51 from the Olympic Movement in Society Congress held in Copenhagen, 2009: Everyone involved in the Olympic Movement must become more aware of the fundamental importance of Physical Activity and sport for a healthy lifestyle, not least in the growing battle against obesity, and must reach out to parents and schools as part of a strategy to counter the rising inactivity of young people.1 The IOC assembled an expert group (January 2011) to discuss the role of PA and sport on the health and fi tness of young people and to critically evaluate the scientifi c evidence as a basis for decision making. Specifi cally, the purpose of this consensus paper is to identify potential solutions through collaboration between sport and existing programmes and to review the research gaps in this fi eld. The ultimate aim of the paper is to provide recommendations for young people's sport and PA stakeholders. After an introduction to the scope of the problem, issues addressed include how best to defi ne the current state of fi tness and PA of young people; health consequences due to the lack of PA and/ or sport; correlates and determinants of PA and sedentary behaviour; options for change: studies on effectiveness of intervention; and context for action: potential solutions. Finally, a summary and recommendations are given.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.777
Threshold uncertainty score0.551

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.047
GPT teacher head0.285
Teacher spread0.238 · 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 teacher head, 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

Citations2
Published2011
Admission routes1
Has abstractyes

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