Knee Extension Strength Cutpoints for Maintaining Mobility
Bibliographic record
Abstract
OBJECTIVES: To identify levels of knee extensor strength that are associated with high and low risk of incident severe mobility limitation (SML) in initially well-functioning older adults. DESIGN: Prospective cohort study. SETTING: University clinic center. PARTICIPANTS: One thousand three hundred fifty-five men and 1,429 women (aged 73.6+/-2.85) who reported no mobility limitation. MEASUREMENTS: Unilateral knee extensor isokinetic strength of participants was obtained. Participants were followed over a median of 5.90 years for the onset of SML, defined as two consecutive reports of a lot of difficulty or inability to walk one-quarter of a mile or climb 10 steps. Deciles of knee extension strength relative to body weight were evaluated to identify cutpoints most predictive of incident SML. Cutpoints were then compared with prevalence of having slow gait speed (<1.22 m/s) and mortality. RESULTS: Two sex-specific knee extension strength cutpoints were found. High and low risk of SML corresponded to less than 1.13 newton-meters (Nm)/kg (1st decile) and more than 1.71 Nm/kg (6th decile) in men and less than 1.01 Nm/kg (3rd decile) and more than 1.34 Nm/kg (7th decile) in women, respectively. Moderate risk was defined as being between the low- and high-risk cutpoints. Individuals with knee extension strength in the high- and moderate-risk categories were more likely to have a gait speed less than 1.22 m/s (hazard ratio (HR)=7.00, 95% confidence interval (CI)=5.47-8.96 and HR=2.14 7.00, 95% CI=1.73-2.64, respectively) and had a higher risk of death (HR=1.77, 95% CI=1.41-2.23 and HR=1.51, 95% CI=1.24-1.84, respectively) than individuals in the low-risk category. Adjustment for demographic factors, health behaviors, and medical conditions did not alter these associations. CONCLUSION: Knee extensor strength cutpoints provide objective markers to identify initially well-functioning older adults at high and low risk of future mobility limitation.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".