# Defining Sarcopenia in a Population Based Study of Oldest Adults

## TL;DR

This study examines how to define sarcopenia in older adults using muscle mass, strength, and walking speed, finding that grip strength and walking speed are strong predictors of mortality.

## Contribution

The study evaluates the validity of sarcopenia definitions using population-based data and highlights the limitations of bioimpedance analysis for muscle mass assessment.

## Key findings

- Grip strength and walking speed are strongly correlated with mortality and hospitalization.
- Having both weak grip and slow walking speed doubles mortality risk.
- Fat-free mass measured by BIA shows weak and inconsistent associations with mortality.

## Abstract

Sarcopenia is common in older age and is associated with increased risk of mortality and other complications. Sarcopenia definitions vary, but consensus suggests the following should be present: (1) low muscle mass; (2) impaired strength; and (3) decreased performance. We sought to assess the agreement and correlates of candidate input variables in 6,515 Atherosclerosis Risk in Communities (ARIC) Study participants at visit 5 (2011-2013, age 66+ years). The input variables were fat free mass (FFM kg/m2) using bioimpedance analysis (BIA, lower limb leads), grip strength (grip, kg), and walking speed (WS, 4-meter walk, m/s). Age correlations were: -0.03 for FFM, -0.18 for grip and -0.23 for WS. Correlations between variables were 0.03 in men/-0.05 in women (FFM and grip), -0.05/-0.32 (FFM and WS) and 0.25/0.21 (grip and WS), respectively. Grip and WS were each strongly related to mortality and hospitalization. Having both weak grip and slow WS associated with a doubling in mortality risk (hazard ratio=2.3 (95% CI 2.0-2.6)) compared to having neither, supporting the sarcopenia definition put forward by the Sarcopenia Definitions and Outcomes Consortium. FFM association with mortality was weak and inconsistent across strata of grip and WS, suggesting limitations in the use of BIA in defining sarcopenia. In summary, we detail differences across the sarcopenia input variables by demographics, as well as their implications for risk associations. More robust measures of muscle mass (e.g. DXA vs. BIA with lower limb leads) may add value to sarcopenia definitions.

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Source: https://tomesphere.com/paper/PMC12762021