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Dataset Information

Development and validation of bioimpedance prediction equations for fat-free mass in unilateral male amputees.


ABSTRACT:

Background

Metabolic disease due to increased fat mass is observed in amputees (APTs), thereby restricting their activity. Systemic health management with periodic body composition (BC) testing is essential for healthy living. Bioelectrical impedance analysis (BIA) is a non-invasive and low-cost method to test BC; however, the APTs are classified as being exempted in the BIA.

Objective

To develop segmental estimated regression equations (sEREs) for determining the fat-free mass (FFM, kg) suitable for APTs and improve the accuracy and validity of the sERE.

Methods

Seventy-five male APTs participated in this cross-sectional study. Multiple regression analysis was performed to develop highly accurate sEREs of BIA based on independent variables derived from anthropometric

SUBMITTER: Choi HJ 

PROVIDER: S-EPMC7950192 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature