Fall Risk-Increasing Drugs and Gait Performance in Community-Dwelling Older Adults: Results from the Gait and Brain Study
Bibliographic record
Abstract
Medication use and gait impairment are two of the most important risk factors for falls. Several drug classes have been classified as fall risk-increasing drugs (FRIDs). Gait is an important marker of overall health and independence in older adults. The overall aim of this thesis was to examine the relationship between FRIDs and gait performance in older adults through two studies. Firstly, our systematic review of twenty studies on the association between FRIDs and gait performance found that the use of drugs with sedative properties is associated with reduced gait speed. Secondly, we conducted a cross-sectional analysis of data from the Gait and Brain Study. We found that among community-dwelling older adults aged 65 years old and over, diuretic use was associated with significantly reduced gait speed and statin use was associated with significantly increased stride time variability. Future longitudinal studies are required to determine the clinical relevance of our findings.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".