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Record W1616737852 · doi:10.3917/spub.145.0647

Les systèmes d'orientation à l'activité physique au Royaume-Uni : efficacité et enseignements

2014· article· fr· W1616737852 on OpenAlexaff
Paquito Bernard

Bibliographic record

VenueSanté Publique · 2014
Typearticle
Languagefr
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

INTRODUCTION: UK Exercise Referral Systems (ERS) have been developed to encourage physical activity in the general population. This systematic review investigated the effectiveness and cost-effectiveness of ERS. Identification of factors influencing ERS uptake, adherence and success were also investigated. METHODS: Studies were identified from Medline, Cochrane and Pascal and bibliographies of relevant papers. Interventions providing access to ERS (randomized controlled trials or controlled trials), experimental or qualitative studies, and meta-analyses were included. RESULTS: Twenty six studies met the inclusion criteria. Compared with usual care, ERS showed an increased number of participants who achieved 90-150 minutes of physical activity of at least moderate intensity per week. However, no significant difference in long-term outcomes (e.g., quality of life, body mass index, glycated haemoglobin, anxiety) were identified between ERS and comparator groups. Cost-effectiveness analysis suggested that ERS were more cost-effective for participants with co-morbid medical conditions. A higher adherence rate was associated with better effectiveness of ERS. DISCUSSION: Limited evidence supports the efficacy of ERS to increase physical activity or improve health outcomes. This evidence-based analysis could support the development of effective ERS in France.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.746
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.025
GPT teacher head0.324
Teacher spread0.300 · 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.

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

Citations6
Published2014
Admission routes1
Has abstractyes

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