Grip Strength Normalized by Lean Body Mass: A Novel Biomarker for Cognitive Health in Older Adults
Bibliographic record
Abstract
BACKGROUND: According to work by Boyle and Bennett and colleagues, about half of cognitive decline in the elderly is not explained by amyloid, tau, or other measurable pathologies. Presumably unmeasured aspects of neuronal and synaptic health are key aspects of causation. Maximal grip strength relies on optimal health and function of all motor unit components, including peripheral neural structures. This study explores the relationship between grip strength normalized by lean body mass (Grip/LBM) and cognitive performance, hypothesizing that Grip/LBM reflects brain general cortical neuronal health and is a stronger predictor of cognition than grip strength or lean body mass alone. METHOD: A total of 232 older adults (56 males, 176 females; aged 50-95) with subjective cognitive impairment (SCI) or mild cognitive impairment (MCI) were assessed. Grip strength was measured using a Jamar hand dynamometer, and lean body mass was determined via dual-energy X-ray absorptiometry. Cognitive performance was evaluated using the Montreal Cognitive Assessment (MoCA). Correlation and multiple linear regression analyses were conducted to assess the association between Grip/LBM and MoCA scores, controlling for age and sex. RESULT: Grip/LBM showed a significant positive correlation with MoCA scores (r=0.286, p <0.00001). Multiple regression analysis identified Grip/LBM as a significant predictor of MoCA scores (β=4.69, p = 0.001), alongside age (β=-0.089, p <0.001) and sex (β=-1.56, p <0.001), with the model explaining 22.4% of the variance in cognitive performance. Grip strength alone and lean body mass alone were weaker predictors, with minimal or nonsignificant associations. Sex-specific analyses revealed a stronger correlation in males (r=0.464) compared to females (r=0.305). CONCLUSION: Grip/LBM emerged as a robust predictor of cognitive health, outperforming grip strength or lean body mass alone. These findings suggest that neuromuscular function, as reflected by Grip/LBM, may serve as a surrogate marker for brain neuronal integrity. This metric offers potential as a practical biomarker for cognitive health and a target for interventions aimed at mitigating cognitive decline.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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 | 0.001 | 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".