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Record W2099060162 · doi:10.1123/jpah.10.3.430

Prevalence and Correlates of Physical Activity Within On-Reserve First Nations Youth

2013· article· en· W2099060162 on OpenAlexafffundabout
Mark Lemstra, Marla Rogers, Adam Thompson, John Moraros

Bibliographic record

VenueJournal of Physical Activity and Health · 2013
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsUniversity of Saskatchewan
FundersPublic Health Agency of Canada
KeywordsPhysical activityPsychologyGerontologyDemographyMedicineEnvironmental healthPhysical therapySociology

Abstract

fetched live from OpenAlex

BACKGROUND: Youth in Canada age 5-17 years require a minimum of 60 minutes of moderate to vigorous physical activity (PA) everyday. Regrettably, there are no published studies on levels of PA within on-reserve First Nations youth in Canada that use validated surveys. The objective was to determine what percentage of Saskatoon Tribal Council (STC) First Nations on-reserve youth met the Canadian Society for Exercise and Physiology's (CSEP) definition for being physically active, and what influences are associated with meeting this standard. METHODS: Students in grades 5-8 within the STC were asked to complete a youth health survey. RESULTS: Only 7.4% of STC youth met CSEP's PA standard. Male youth (13.9%) were more likely to meet the PA standard than female youth (4.1%). Having parents who watch youth participate and who provide transportation to classes, having enough equipment at home, having friends bike or walk to school, participating in physical activity headed by a coach or instructor, and participating in structured classes are associated with meeting the standard. CONCLUSIONS: The prevalence of meeting the PA standard among on-reserve First Nations youth is very low. More research is needed to identify independent risk indicators of being physically inactive.

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)0.000
metaresearch head score (Gemma)0.001
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: Empirical
Teacher disagreement score0.095
Threshold uncertainty score0.191

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.043
GPT teacher head0.331
Teacher spread0.288 · 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
Published2013
Admission routes3
Has abstractyes

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