Handgrip Strength and Cognitive Recovery in Older Stroke Survivors: A Prospective Study
Bibliographic record
Abstract
Background and Objectives: Handgrip strength (HGS) is an important indicator of overall physical capability and is linked to various health outcomes in older adults. Despite extensive research on the relationship between HGS and cognitive decline, longitudinal studies on poststroke cognitive changes in relation to HGS are scarce. This study aimed to observe whether HGS at discharge from acute stroke rehabilitation affects cognitive function 6–12 months after stroke onset and to compare cognitive outcomes between patients with normal and low HGS at discharge. Materials and Methods: This prospective cohort study was conducted in the Department of Rehabilitation Medicine at a tertiary care hospital. In agreement with the Asian Working Group for Sarcopenia 2019 criteria, low muscle strength was defined as an HGS of less than 28 kg for men and less than 18 kg for women, and participants were categorized into normal and low HGS groups. Neuropsychological evaluations were conducted before discharge (approximately one month after stroke onset) and between 6 and 12 months after stroke onset. Results: The low HGS group was older and had lower Montreal Cognitive Assessment scores. However, after adjusting for covariates, the linear mixed model analysis showed no significant differences between the groups in global cognition or specific cognitive domains, except for psychomotor speed during the subacute phase. Notable improvements in language ability were observed in both groups over time, while significant improvements in executive function were observed exclusively in the low HGS group. Conclusions: This longitudinal study is the first to explore the relationship between HGS and changes in cognitive function in older adults with stroke, providing insights into physical strength and cognitive recovery during stroke rehabilitation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".