Balance and walking speed predict subsequent 8-year mortality independently of current and intermediate events in well-functioning women aged 75 years and older
Bibliographic record
Abstract
BACKGROUND: Physical performance may predict survival independently of other current predictors in non selected elderly subjects. We determined if poor balance and decreased gait speed may predict mortality after adjustment for both baseline and follow-up confounders in well-functioning elderly women. METHODS: A subgroup of participants in the Epidemiology of osteoporosis (EPIDOS) study (N = 1,300) was followed for 8 years. Participants were community-dwelling women aged 75 or older able to go outside home without assistance. The baseline examination included a questionnaire and a clinical and functional examination. Participants were contacted every year thereafter by mail. RESULTS: Poor balance, defined by the inability to stand in a tandem position or to complete ten foot taps in less than 4.6 seconds, and poor mobility, defined by a gait speed of less than 0.80 m/s or a stride length of less than 0.5 m were significant predictors of low 8-year survival, independently of other predictors of death at baseline (educational level, social network, number of drugs, fear of falling, visual acuity, perceived health, IADL score, physical activity, and comorbidities) and during follow-up (falls, IADL score, the need to be accompanied to go outside, weight loss, hospitalization, and the report of new comorbidities). CONCLUSION: The current study shows that poor balance and mobility are significant predictors of 8-year mortality independently of baseline and intermediate events in pre-disabled women aged 75 years and older, suggesting that they may reflect a certain failure to respond adequately in the face of present and future medical and non-medical events.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".