MétaCan
Menu
Back to cohort
Record W2074521696 · doi:10.1139/h06-090

Cardiorespiratory fitness and metabolic syndrome: US National Health and Nutrition Examination Survey 1999–2002

2007· article· en· W2074521696 on OpenAlexafffundvenue
Susan Brien, Ian Janssen, Peter T. Katzmarzyk

Bibliographic record

VenueApplied Physiology Nutrition and Metabolism · 2007
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsQueen's University
FundersCanadian Institutes of Health ResearchU.S. Department of Agriculture
KeywordsCardiorespiratory fitnessNational Health and Nutrition Examination SurveyMetabolic syndromeMedicineOddsPhysical fitnessOdds ratioPhysical activityGerontologyDemographyPhysical therapyInternal medicineEnvironmental healthObesityPopulationLogistic regression

Abstract

fetched live from OpenAlex

Increasing physical activity is recommended as a therapeutic lifestyle change in the treatment of metabolic syndrome (MetS); however, little evidence exists for a relationship between cardiorespiratory fitness (CRF) and MetS in representative samples. Using data from the US National Health and Nutrition Examination Survey, 1999-2002, the relationship between CRF and MetS was examined in 692 men and 608 women between the ages of 18 and 49 y who were free of major disease and disability. In men, the odds of MetS were significantly lower in moderate and high CRF categories versus the low CRF category, whereas in women there were no significant relationships between CRF and MetS.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.033
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.035
GPT teacher head0.306
Teacher spread0.270 · 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

Citations22
Published2007
Admission routes3
Has abstractyes

Explore more

Same venueApplied Physiology Nutrition and MetabolismSame topicPhysical Activity and HealthFrench-language works237,207