Motoric cognitive risk syndrome and mortality: results from the EPIDOS cohort
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND AND PURPOSE: Cognitive impairment, slow walking speed and motoric cognitive risk syndrome (MCR) have separately been associated with an increased risk for mortality in the short term. The aim of the study was to examine the association of MCR and its components [i.e. subjective cognitive complaint (SCC) and slow walking speed] with short-, medium- and long-term mortality in older community-dwellers. METHODS: In all, 3778 participants from the Epidémiologie de l'Ostéoporose (EPIDOS) study were selected. MCR was defined as the combination of slow walking speed and SCC in participants without major neurocognitive disorders. Deaths were prospectively recorded using mail, phone calls, questionnaires and/or the French national death registry at 5, 10, 15 and 19 (end of follow-up period) years. RESULTS: Over the follow-up of 19 years, 80.5% (n = 3043) participants died. Slow walking speed and MCR were associated with mortality [hazard ratio (HR) 1.20 with P = 0.004 for slow walking speed and HR = 1.26 with P = 0.002 for MCR at 10 years; HR = 1.27 with P ≤ 0.001 for slow walking speed and HR = 1.22 with P = 0.001 for MCR at 15 years; HR = 1.41 with P ≤ 0.001 at 19 years for slow walking speed and MCR]. There was no association between SCC and mortality. Kaplan-Meier distributions of mortality showed that participants with MCR and slow walking speed died earlier compared to healthy participants and those with SCC (P < 0.001). CONCLUSIONS: Slow walking speed and MCR were associated with an increased risk for mortality at the medium and long term, whereas no association was found with SCC.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 it