DEVICE MEASURED SLEEP QUALITY AND PHYSICAL ACTIVITY IS ASSOCIATED WITH COGNITION IN CHRONIC STROKE
Bibliographic record
Abstract
Abstract Having a stroke increases risk for dementia two-fold. Both moderate to vigorous physical activity (MVPA) and sleep are positively associated with cognitive function. These associations may vary by biological sex. Notably, evidence shows physical activity mitigates the negative impact of poor sleep on cognitive function. Poor sleep quality is a common consequence of stroke and may contribute to cognitive impairment and dementia poststroke. We examined if MVPA attenuates the relationship of device-measured sleep quality and cognitive function in older males and females living with chronic stroke (i.e., > 12 months since stroke). We used baseline data acquired from 97-community-dwelling older adults with chronic stroke (71±9 years; n=38 female) enrolled in a 6-month randomized controlled trial. We measured MVPA and sleep duration using wrist-worn actigraphy. Global cognitive function was measured with the 13-item Alzheimer’s Disease Assessment Scale (ADAS-Cog). We assessed whether MVPA moderated the association between sleep duration and the 13-item ADAS-Cog score in: 1) the full sample; and 2) among males and females separately. Fugl-Meyer score, Montreal Cognitive Assessment score, age, and biological sex were included as covariates. In the full sample, MVPA significantly moderated the association between sleep duration and the 13-item ADAS-Cog score (ß=0.0006±0.0003; p=0.041). Specifically, among individuals with shorter sleep duration, those with greater MVPA had better global cognitive function. This interaction was significant in males (ß=0.0013±0.0005; p=0.016) but not females (ß=0.0004±0.0004; p=0.259). We suggest that MVPA is beneficial for preserving global cognitive function among stroke survivors with shorter sleep duration, particularly among males.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".