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Record W1964028042 · doi:10.1186/1472-6874-4-s1-s6

Physical Activity and Obesity in Canadian Women

2004· article· en· W1964028042 on OpenAlexaffabout
Shirley Bryan, Peter Walsh

Bibliographic record

VenueBMC Women s Health · 2004
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsHealth Canada
Fundersnot available
KeywordsOverweightObesityEthnic groupMedicinePsychological interventionGerontologyPhysical activityPublic healthEnvironmental healthDemographyBody mass indexPhysical therapyPolitical scienceEndocrinology

Abstract

fetched live from OpenAlex

HEALTH ISSUE: Overweight and obesity have been recognized as major public health concern in Canada and throughout the world. Lack of physical activity, through its impact on energy balance, has been identified as an important modifiable risk factor for obesity. Physical activity and obesity are also important risk factors for a variety of chronic diseases. This chapter provides an overview of the current state of physical activity and overweight/obesity among Canadian women. KEY FINDINGS: For all ages combined more women (57%) than men (50%) are physically inactive (energy expenditure <1.5 KKD). Physical activity increases as income adequacy and educational level decrease. Physical inactivity also varies by ethnicity. The prevalence of both overweight (BMI 25.0 - 29.9 kg/m2) and obese (BMI >/= 30 kg/m2) Canadian women has increased 7% since 1985. Obesity increases with age and is highest among women reporting low and lower middle incomes and lower levels of education. The prevalence of obesity is highest among Aboriginal women and men (28% and 22% respectively). DATA GAPS AND RECOMMENDATIONS: There is currently no surveillance system in Canada to monitor the level of physical activity among children, those performing activity at work, at school or in the home. There is a gap in the knowledge surrounding socio-cultural and ecological determinants of physical activity and obesity and the associations of these to chronic disease among women and minority populations. Multi-sectoral policy interventions that act to decrease the broad systemic barriers to physical activity and healthy weights among all women are needed.

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 score0.125
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.019
GPT teacher head0.301
Teacher spread0.282 · 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

Citations48
Published2004
Admission routes2
Has abstractyes

Explore more

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