Smartphone prediction of skeletal muscle mass: model development and validation in adults.

ABSTRACT:

Background

Skeletal muscle is a large and clinically relevant body component that has been difficult and impractical to quantify outside of specialized facilities. Advances in smartphone technology now provide the opportunity to quantify multiple body surface dimensions such as circumferences, lengths, surface areas, and volumes.

Objectives

This study aimed to test the hypothesis that anthropometric body measurements acquired with a smartphone application can be used to accurately estimate an adult's level of muscularity.

Methods

Appendicular lean mass (ALM) measured by DXA served as the reference for muscularity in a sample of 322 adults. Participants also had digital anthropometric dimensions (circumferences, lengths, and regional and total body surface areas and vo

SUBMITTER: McCarthy C 

PROVIDER: S-EPMC10315403 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature