Physical frailty and survival time after the onset of functional disability: Is there a sex difference?
Bibliographic record
Abstract
BACKGROUND: Physical frailty accelerates the timing of both subsequent disability and death; however, evidence regarding the impact of frailty on the period from disability onset to death and sex differences of this impact is lacking. The aim of this study was to examine the relationship among physical frailty, disability, death, and sex differences. METHODS: This Japanese cohort study included 10,524 community-dwelling people aged ≥65 years. Physical frailty was operationalized by key phenotypes as per Fried's criteria (slowness, weakness, exhaustion, weight loss, and low activity) at baseline. We calculated hazard ratios (HRs) with 95% confidence intervals (CIs) for disability onset and post-disability survival according to the frailty status. RESULTS: During a 5-year follow-up, the risk of disability onset for pre-frailty (HR: 1.74, 95% CI: 1.51-2.00) and frailty (HR: 3.27, 95% CI: 2.77-3.87) were significantly higher than that for robust people. Furthermore, among participants who developed disabilities within 5 years (n = 1481), the risk of post-disability death for pre-frailty was not different from that for robust (HR: 1.49, 95% CI: 0.99-2.24), but frailty showed a higher risk of post-disability death than did robust people. (HR: 1.75, 95% CI: 1.13-2.72). In the sex-stratified analysis, although the female group showed no association between frailty status and post-disability death (HR: 1.21, 95% CI: 0.63-2.33 in pre-frailty; HR: 1.24, 95% CI: 0.60-2.57 in frailty), the male group showed higher risk of post-disability death in both pre-frailty (HR: 1.74, 95% CI: 1.03-2.96) and frailty (HR: 2.32, 95% CI: 1.32-4.09). CONCLUSIONS: Physical frailty shortens the period from disability onset to death. Additionally, the impact of frailty on post-disability death is greater for males than for females. Our findings suggest that physical frailty is an important clinical indicator distinct from disability and that interventions to prevent and address frailty in men need further investigation.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".