Low life satisfaction predicts mortality in a cohort study of very old men–the Manitoba follow up study
Bibliographic record
Abstract
OBJECTIVES: (1) To determine the life satisfaction (LS) of members of a cohort study of aging men; (2) to determine if LS predicts death at various ages amongst members of a cohort study. METHODS: We analyzed a prospective cohort study of men who qualified for air crew training in the Second World War. In 2005, 860 participants with a mean age of 85, were alive and responded to the annual questionnaire - which is sent to participants living in the community. Since 2005, LS was measured annually. Kaplan-Meier plots were constructed, and median survival times were calculated. Cox proportional hazards models were constructed comparing those with 'Poor/Bad'; 'Fair'; 'Good; and 'Very Good' to 'Excellent' LS. RESULTS: Throughout the study period from 2005 to 2024, most men were satisfied with life. Lower LS predicted mortality throughout the course of the study, even at very old ages and even after accounting for the effect of chronic diseases. CONCLUSIONS: LS appears relatively stable in community living old men, and predicts mortality even into advanced age.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Review About the Canadian research system: no · About a Canadian topic: yes | Observational | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: yes | Observational | low |
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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, unvalidatedLabeled directly by 2 models reading the full record.
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".