The relationship between clinical measures of cognitive function and grip strength in healthy older adults

• Published in: BMC geriatrics Vol. 22; no. 1; p. 907
• Main Authors: Richardson, James K, Ellmers, Toby J
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 26.11.2022; BioMed Central; BMC
• Subjects: Accuracy; Aged; Body mass index; Brain; Chronic illnesses; Cognition; Cognition disorders in old age; Cognitive ability; Dependent variables; Diagnosis; Executive function; Geriatrics; Go/no-go discrimination learning; Grip strength; Hand Strength - physiology; Health aspects; Humans; Latency; Measurement; Memory; Older people; Physiological aspects; Psychological aspects; Reaction Time; Reaction time task; Response time; Sensorimotor integration; Values; Young adults; United Kingdom; Reaction time; Executive function; Cognition; Grip strength
• ISSN: 1471-2318; 1471-2318
• DOI: 10.1186/s12877-022-03629-9

Handgrip strength is considered a surrogate for musculoskeletal strength, however there is emerging evidence of an association with cognition. The specific neurocognitive attribute which best associates with grip strength is unknown. We performed a secondary analysis on baseline data in 49 healthy older adults. Grip strength was corrected for body mass index. Control independent variables included age, Montreal Cognitive Assessment, and Trails B. Experimental variables included a clinical measure of simple reaction time, and clinical and computerized go/no-go tasks. The clinical Go/No-Go measure was determined with ReacStick, a rod-shaped device which - when released by the examiner - requires the participant to decide within 390 ms whether to catch the device or let it fall to the ground. Bivariate analysis demonstrated that age and all cognitive measures other than the computer go/no-go response accuracy related to grip strength. Multivariate analyses showed that following inclusion of the control variables, only ReacStick measures (reaction accuracy/simple reaction time) significantly predicted grip strength, explaining an additional 15.90% variance (p = 0.026). In contrast, computerized Go/No-Go accuracy (p = 0.391), response time variability (p = 0.463), and the control variables (p value range = 0.566-0.942) did not predict grip strength. A short latency (< 390 ms) visuomotor Go/No-Go task independently predicted over 15% of grip strength variance, whereas a slower screen-based Go/No-Go task did not. These findings support the notion that declining grip strength likely reflects sub-clinical brain changes as well as musculoskeletal dysfunction, possibly explaining the potent relationships between grip strength, disability, chronic disease, and mortality.