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Record W2497871107 · doi:10.1123/jpah.4.4.424

Self-Rated Health and Mortality in Canada

2007· article· en· W2497871107 on OpenAlexfundaboutno aff
Caitlin Mason, Peter T. Katzmarzyk, Cora L. Craig, Lise Gauvin

Bibliographic record

VenueJournal of Physical Activity and Health · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaCanadian Institutes of Health ResearchHealth Canada
KeywordsSelf-rated healthConfoundingDemographyPhysical activityMedicineGerontologyPsychologyEnvironmental healthPhysical therapyInternal medicine

Abstract

fetched live from OpenAlex

Background: This study investigates the degree to which the relationship between self-rated health and mortality is consistent across income groups in Canada and whether it can be explained by differentials in physical activity. Methods: A sample of 17,852 adults in the 1981 Canada Fitness Survey was followed for 13 y for mortality. Results: After adjusting for several confounders, there was a dose-response relationship between self-rated health and all-cause, CVD, and cancer mortality. This relationship persisted across levels of income. Physical activity was inversely related to mortality; however, the risk of mortality associated with low self-rated health did not differ significantly between activity groups. Conclusions: Physical activity does not appear to be a significant mediating or moderating factor in the relationship between self-rated health and mortality.

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 score0.018
Threshold uncertainty score0.075

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 studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.053
GPT teacher head0.407
Teacher spread0.355 · 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

Citations3
Published2007
Admission routes2
Has abstractyes

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