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Record W2538639869 · doi:10.1177/0898264316673714

Quality of Life Trajectories Predict Mortality in Older Men: The Manitoba Follow-Up Study

2016· article· en· W2538639869 on OpenAlexafffundabout
Philip D. St. John, Depeng Jiang, Robert B. Tate

Bibliographic record

VenueJournal of Aging and Health · 2016
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsGeorge & Fay Yee Centre for Healthcare InnovationUniversity of Manitoba
FundersCanadian Institutes of Health ResearchCanadian Geriatrics SocietyUniversity of ManitobaResearch Manitoba
KeywordsMental healthQuality of life (healthcare)CohortGerontologyMedicineCohort studyDemographyPsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVE: To describe quality of life trajectories of older men over a 10-year time frame in mental and physical health domains, and to determine if these trajectories predict death over a subsequent 9-year period. METHOD: A cohort study of Royal Canadian Air Force aircrew veterans. We used Short Form-36 (SF-36) measures of mental and physical functioning collected prospectively at six time points between 1996 to 2006 (734 men with a mean age of 85.5 [ SD 3.0] years in 2006) to determine trajectories. Continued contact with the cohort from 2006 to 2015 determined subsequent mortality. RESULTS: Men were more likely to maintain high levels of mental functioning than physical functioning. Thirty-seven percent of participants maintained a high level of both mental and physical functioning. Declining function in either mental or physical function was associated with lower survival. CONCLUSION: Men who maintain physical and mental functioning have a lower mortality rate.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.470

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 head0.125
GPT teacher head0.412
Teacher spread0.287 · 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

Citations20
Published2016
Admission routes3
Has abstractyes

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