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Record W2167109482 · doi:10.1139/h09-060

Are Canadians meeting the guidelines for moderate and vigorous leisure-time physical activity?

2009· article· en· W2167109482 on OpenAlexaffvenueabout
Shirley Bryan, Peter T. Katzmarzyk

Bibliographic record

VenueApplied Physiology Nutrition and Metabolism · 2009
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsQueen's UniversityStatistics Canada
Fundersnot available
KeywordsMedicineGuidelinePhysical activityGerontologyLogistic regressionBody mass indexPsychological interventionOddsPopulationDemographyEnvironmental healthPhysical therapy

Abstract

fetched live from OpenAlex

The purpose of this study was to determine the proportion of Canadian adults (aged 18-55 years) who met the guidelines for moderate and vigorous physical activity set out in Canada's Physical Activity Guide to Healthy Active Living. Leisure-time physical activity energy expenditure from moderate- and vigorous-intensity activities was calculated using data from the National Population Health Surveys (1994-1998) and the Canadian Community Health Surveys (2001-2007). The prevalence was estimated for no leisure-time physical activity, meeting only the moderate guideline, meeting both the moderate and vigorous guidelines, and meeting the guidelines through a combination of moderate and vigorous activities. Logistic regression was used to determine the odds of meeting the guidelines by various demographic characteristics. The prevalence of no activity did not change appreciably over time, ranging from 6.5% to 10%, depending on the survey year. Reporting of no activity was more prevalent among older adults, those in lower income groups, and those with a body mass index (BMI) > or =30 kg.m-2. Overall, 65% of adults met the guidelines for physical activity in 2007, which has increased from 54% in 1994-1995. Men, younger adults, those with a higher income, and those with a lower BMI more often met the guidelines. Among all subgroups, meeting the guidelines was most often accomplished through participation in moderate-intensity activities. These findings should be considered when designing and implementing public health interventions that promote participation in daily physical activity.

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)0.002
metaresearch head score (Gemma)0.009
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 score0.020
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.005
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.051
GPT teacher head0.330
Teacher spread0.280 · 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

Citations38
Published2009
Admission routes3
Has abstractyes

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