Quality of Life Trajectories Predict Mortality in Older Men: The Manitoba Follow-Up Study
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".