Abstract WP142: Baseline and Demographic Factors Associated With Improvements in Physical Activity, Cognition and Mood: Preliminary Data from the Bugher Foundation’s Stroke and Exercise Study
Bibliographic record
Abstract
Background: The Bugher Stroke and Exercise Study examines the impact of a structured exercise and cognitive training program after stroke. In this preliminary analysis we investigated baseline predictors and demographics related to physical, cognitive and affective improvements. Methods: Participants with recent stroke and limited physical activity ≥ 3 months prior to enrollment were randomized to one of two arms of a 3-month intervention. Arm 1 (N=62) received exercise (strength & cardiovascular) and cognitive training. Arm 2 (N=35) received light stretching and sham cognitive training. Outcome measures included depression (CES-D), cognition (MoCA), stroke impact scale (SIS), impairment (NIHSS), degree of disability (mRS), and physical measures of hand grip (HG), time up and go (TUG), 30-second chair stand test, 6-minute walk, waist circumference, BMI and blood pressure (BP). The trial is ongoing, therefore treatment group comparisons were not available. T-tests evaluated change in outcome measures among all participants. Regression analyses evaluated demographic variables and baseline factors (i.e., time-since-stroke, ischemic vs. hemorrhagic, & pre-stroke physical activity) associated with change in outcome measures. Results: To date, 97 participants were enrolled ( M age 59±11 years; 34% women; 53% white, 49% Hispanic, 39% black & 7% other). Participants demonstrated significant improvement on the CES-D (p=.005), MoCA (p=.005), NIHSS (p<.001), SIS (p=.015), mRS (p<.001), HG (p=.002), TUG (p=.004), 30-second chair (p<.001), 6-minute walk (p=.001), waist circumference (p=.010), and both systolic (p=.009) and diastolic (p<.001) BP. Regression analyses revealed that older adults were less likely to improve in MoCA scores (p=.010), 6-minute walk (p=.041), and systolic BP (p=.032). Participants with more pre-stroke physical activity demonstrated greater improvement in 6-minute walk (p=.024). Black participants saw less decline in systolic BP (p=.033) while participants with hemorrhagic (vs. ischemic) stroke saw less decline in diastolic BP (p=.039). Conclusions: Participation in an exercise and cognitive training intervention benefit stroke survivors; however, improvement may depend on baseline and demographic factors.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".