Hand Grip Strength is Associated With Body Sway Rate Among Older Adults With Intellectual Disability
Bibliographic record
Abstract
Abstract The authors undertook a study to determine whether hand grip strength is associated with body sway rate among older adults with intellectual disability. They employed cross‐sectional data from a nonrandomized controlled trial. Subjects were 16 older adults (8 females and 8 males; mean age 51.3 year) with mild‐to‐moderate intellectual disability residing in a supported living facility in Israel. Voluntary hand grip strength was measured isometrically using Jamar® hydraulic dynamometer, and body sway was assessed by Posture Scale Analyzer. Multivariate adjusted logistic regression model was used. Findings showed that hand grip strength in both arm flexed and extended was associated with body sway (−.608 to −.879), particularly among males. In females, the association was found only in eyes open condition, whereas in males it was found with both eyes closed and open. The authors concluded that hand grip strength was found to be negatively correlated with body sway rate and that low grip strength was associated with greater body sway. Low grip strength may be a rehabilitative impairment worthy of further investigation as a modifiable factor linked to sway rate among older adults with intellectual and developmental disability.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".