Using the Short Physical Performance Battery to screen for frailty in young‐old adults with distinct socioeconomic conditions
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Bibliographic record
Abstract
AIM: To analyze the Short Physical Performance Battery's (SPPB) ability in screening for frailty in community-dwelling young elderly from cities with distinct socioeconomic conditions. METHODS: Elderly (65-74 years-of-age) from Canada (Saint Bruno; n = 60) and Brazil (Santa Cruz; n = 64) were evaluated with the SPPB to assess physical performance. Frailty was defined as the presence of ≥ 3 of the following criteria: weight loss, exhaustion, weakness, mobility limitation and low physical activity. Linear regression and receiver operating characteristics analyses were carried out. RESULTS: The SPPB correlated with frailty (R(2) = 0.33), with better results for Saint Bruno. A cut-off of 9 in the SPPB had good sensitivity (92%) and specificity (80%) in discriminating frail from non-frail in Saint Bruno (area under the curve [AUC] = 0.81), but showed fair results in Santa Cruz (AUC = 0.61, sensitivity = 81% and specificity = 52%). CONCLUSIONS: The SPPB better discriminated frailty in elderly with higher socioeconomic conditions (Saint Bruno).
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 it