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Dataset Information

Multi-Frequency Electrical Impedance Myography as a Predictor of Muscle Function in Older Adults.


ABSTRACT:

Introduction/aims

This study examined the potential of multi-frequency electrical impedance myography (EIM) to predict hand grip strength (HGS) variability among adults, including a large proportion of older adults, with and without sarcopenia. The objective was to develop predictive models using EIM data for assessing HGS and to explore its potential use in clinical evaluations of muscle function.

Methods

Seventy-three participants aged 18-93 years were recruited at community events, with 69 completing EIM and HGS assessments. EIM data were collected from the forearm flexor and extensor muscle groups, and regression techniques, including Lasso regression, were applied to develop predictive models.

Results

Approximately 60% of participants were over 65 years old, and

SUBMITTER: Mahato NK 

PROVIDER: S-EPMC12338028 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature