Otago Home‐Based Strength and Balance Retraining Improves Executive Functioning in Older Fallers: A Randomized Controlled Trial
Bibliographic record
Abstract
OBJECTIVES: To primarily ascertain the effect of the Otago Exercise Program (OEP) on physiological falls risk, functional mobility, and executive functioning after 6 months in older adults with a recent history of falls and to ascertain the effect of the OEP on falls during a 1-year follow-up period. DESIGN: Randomized controlled trial. SETTING: Dedicated falls clinics. PARTICIPANTS: Seventy-four adults aged 70 and older who presented to a healthcare professional after a fall. INTERVENTION: The OEP, a home-based program that consists of resistance training and balance training exercises. MEASUREMENTS: Physiological falls risk was assessed using the Physiological Profile Assessment. Functional mobility was assessed using the Timed Up and Go Test. Three central executive functions were assessed: set shifting, using the Trail Making Test Part B; updating, using the verbal digits backward test; and response inhibition, using the Stroop Color-Word Test. Falls were prospectively monitored using daily calendars. RESULTS: At 6 months, there was no significant between-group difference in physiological falls risk or functional mobility (P>or= .33). There was a significant between-group difference in response inhibition (P=.05). A falls histogram revealed two outliers. With these cases removed, using negative binomial regression, the unadjusted incidence rate ratio of falls in the OEP group compared with the control group was 0.56. The adjusted incidence rate ratio was 0.47. CONCLUSION: The OEP may reduce falls by improving cognitive performance.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".