The effects of a strong desire to void on gait for incontinent and continent older community‐dwelling women at risk of falls
Bibliographic record
Abstract
Abstract Aims The fall rate in urgency urinary incontinence (UUI) and mixed UI (MUI) older women is higher when compared with that of continent women. One hypothesis is that a strong desire to void (SDV) could alter gait parameters and therefore increase the risk of falls. The aim of this study was to investigate and compare the effect of SDV on gait parameters in UUI/MUI and continent older women who experienced falls. The secondary aim was to determine the relationship between UI severity and gait parameters in incontinent women. Methods A quasi‐experimental pilot study was conducted with two groups of healthy community‐dwelling women who experienced at least one fall in the last year: continent (n = 17; age: 74.1 ± 4.3) and UUI/MUI (n = 15; age: 73.5 ± 5.9). We recorded, analyzed, and compared spatiotemporal gait parameters for participants in each group with both SDV and no desire to void condition. Results A pattern of reduced velocity (P = 0.05) and stride width (P = 0.02) was observed in both groups with SDV. Incontinence severity was correlated with reduced velocity (rs = −0.63,P = 0.01), increased stance time (rs= 0.65,P = .01) and stance time variability (rs = 0.65,P = .01) in no desire to void condition and with reduced velocity (rs = −0.56,P = .03) and increased stride length variability (rs = 0.54,P = .04) in SDV condition. Conclusions SDV reduced gait velocity and stride width regardless of continence status in older women at risk of falls. Further, UI severity in the UUI/MUI women was correlated to reduced gait velocity and increased variability. Our findings could explain the higher fall rate in this population.
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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) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".