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Record W2986403368

Physical activity of Canadian children and youth, 2007 to 2015.

2017· article· en· W2986403368 on OpenAlexaffabout
Rachel C. Colley, Valerie Carson, Didier Garriguet, Ian Janssen, Karen Roberts, Mark S. Tremblay

Bibliographic record

VenuePubMed · 2017
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsPublic Health Agency of CanadaChildren's Hospital of Eastern OntarioQueen's UniversityUniversity of AlbertaStatistics Canada
Fundersnot available
KeywordsOperationalizationPhysical activityDemographyMedicinePsychologyPhysical therapy
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: This study describes and compares the percentages of Canadian children and youth who adhere to different operational definitions of the moderate-to-vigorous physical activity (MVPA) recommendation of 60 minutes per day. DATA AND METHODS: Data for 6- to 17-year-olds (n = 5,608) were collected from 2007 through 2015 as part of the Canadian Health Measures Survey. MVPA was measured using the Actical accelerometer. The MVPA recommendation was operationalized as accumulating 60 minutes of MVPA every day, on most days, and on average. RESULTS: Data from the most recent cycle of the Canadian Health Measures Survey indicate that 7% of children and youth accumulated at least 60 minutes of MVPA on at least 6 out of 7 days, and 33% achieved a weekly average of at least 60 minutes per day. Boys accumulated more MVPA than did girls, and 6- to 11-year-olds accumulated more MVPA than did 12- to 17-year-olds. Regardless of how adherence to the recommendation is operationalized, MVPA levels among Canadian children and youth did not change over the 9-year period from 2007 to 2015. INTERPRETATION: The majority of Canadian children do not meet the physical activity recommendation, regardless of the operational definition used. However, the discrepancies between results based on different interpretations of the 60-minutes-per-day recommendation highlight the importance of explicitly reporting how recommendations are operationalized to avoid misinterpreting trends and comparisons.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.104
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.262
Teacher spread0.237 · 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

Citations165
Published2017
Admission routes2
Has abstractyes

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