Related Experiment Video
Updated: Nov 19, 2025
07:22
Measuring the Motor Aspect of Cancer-Related Fatigue using a Handheld Dynamometer
Published on: February 20, 2020
6.1K
Evaluating Additional Aspects of Muscle Function with a Digital Handgrip Dynamometer and Accelerometer for Cognitive
Lukus Klawitter1, Sean J Mahoney1, Lindsey Dahl2,3
1Department of Health, Nutrition, and Exercise Sciences, North Dakota State University, Fargo, ND, USA.
Journal of Alzheimer'S Disease Reports
|February 3, 2021
Summary
Handgrip strength (HGS) and its nuances, like force control and fatigability, may help detect cognitive decline in older adults. These measures offer a more comprehensive assessment than maximal grip force alone.
Area of Science:
- Neurology
- Gerontology
- Physiology
Background:
- Handgrip strength (HGS) is a key indicator of overall muscle function and is linked to cognitive health.
- Current HGS assessments primarily measure maximal grip force, neglecting other crucial aspects of muscle function.
Purpose of the Study:
- To investigate the relationship between maximal HGS, submaximal HGS force control, HGS fatigability, and HGS neuromuscular steadiness with cognitive function in older adults.
- To explore the potential of expanded HGS metrics in identifying cognitive impairment.
Main Methods:
- Pilot study involving older adults.
- Assessment of maximal HGS.
- Measurement of submaximal HGS force control, HGS fatigability, and HGS neuromuscular steadiness.
- Evaluation of cognitive function.
Main Results:
- Findings suggest that maximal HGS, force control, fatigability, and steadiness are associated with cognitive function.
- These additional HGS parameters may contribute to detecting poorer cognitive functioning.
Conclusions:
- Expanded HGS protocols, incorporating measures beyond maximal force, show promise for assessing cognitive function in older adults.
- These findings could lead to refined HGS assessment methods for cognitive health monitoring.
