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Record W2044535400 · doi:10.3402/ijch.v71i0.17999

The impact of Action Schools! BC on the health of Aboriginal children and youth living in rural and remote communities in British Columbia

2012· article· en· W2044535400 on OpenAlexaffabout
Dona Tomlin, PJ Naylor, Heather McKay, Alexandra P. Zorzi, Marc Mitchell, Constadina Panagiotopoulos

Bibliographic record

VenueInternational Journal of Circumpolar Health · 2012
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsBC Children's HospitalUniversity of British ColumbiaUniversity of Victoria
Fundersnot available
KeywordsAerobic exerciseWaistBody mass indexObesityPhysical activityDemographyPhysical fitnessMedicineGerontologyMulti-stage fitness testIntervention (counseling)Healthy eatingPhysical therapyInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVES: The aim of the study was to determine the short-term impact of a 7-month whole-school physical activity and healthy eating intervention (Action Schools! BC) over the 2007-2008 school year for children and youth in 3 remote First Nations villages in northwestern British Columbia. STUDY DESIGN: A pre-experimental pre/post design was conducted with 148 children and youth (77 males, 71 females; age 12.5±2.2 yrs). METHODS: We evaluated changes in obesity (body mass index [wt/ht(2)] and waist circumference z-scores: zBMI and zWC), aerobic fitness (20-m shuttle run), physical activity (PA; physical activity questionnaire and accelerometry), healthy eating (dietary recall) and cardiovascular risk (CV risk). RESULTS: zBMI remained unchanged while zWC increased from 0.46±1.07 to 0.57±1.04 (p<0.05). No change was detected in PA or CV risk but aerobic fitness increased by 22% (25.4±15.8 to 30.9±20.0 laps; p<0.01). There was an increase in the variety of vegetables consumed (1.10±1.18 to 1.45±1.24; p<0.05) but otherwise no dietary changes were detected. CONCLUSIONS: While no changes were seen in PA or overall CV risk, zWC increased, zBMI remained stable and aerobic fitness improved during a 7-month intervention.

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)0.005
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 score0.119
Threshold uncertainty score0.684

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.033
GPT teacher head0.401
Teacher spread0.369 · 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

Citations45
Published2012
Admission routes2
Has abstractyes

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