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Record W2285295259 · doi:10.20381/ruor-11807

Activity level and body mass index: An analysis of the Canadian Forces Health and Lifestyle Information Survey

2005· dissertation· en· W2285295259 on OpenAlexaboutno aff
Carol Bennett

Bibliographic record

VenueuO Research (University of Ottawa) · 2005
Typedissertation
Languageen
FieldHealth Professions
TopicOccupational Health and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsBody mass indexIndex (typography)GerontologyMedicineComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

The increasing prevalence of overweight status and obesity among the general population is a major public health concern. There is debate surrounding the role of recreational physical activity in the prevention of weight gain at the population level. This study examined the cross-sectional association between overweight status and obesity and recreational physical activity in a large representative sample of members of the Canadian Armed Forces (n = 4749) using polytomous logistic modelling. A systematic review of the literature looking at the longitudinal relationship between activity level and body mass was conducted and a health promotion intervention was developed. After adjustment for several significant covariates, recreational energy expenditure was significantly and inversely associated with the prevalence of class I obesity compared to normal weight classification (OR 0.94, 95% CI 0.90-0.97), but was not significantly associated with the odds of having a BMI classified as either overweight or obese class II/III (OR 1.01, 95% CI 0.98-1.03; OR 0.93, 95% CI 0.85-1.02) versus having a BMI classified as normal. This study suggests efforts to prevent overweight status and obesity at the population level could profitably address physical activity habits but need to consider the multi-factorial nature of the problem.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.370
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
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 head0.136
GPT teacher head0.456
Teacher spread0.320 · 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.

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

Citations0
Published2005
Admission routes1
Has abstractyes

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