PNF and Movement 2024; 22(3): 379-386
https://doi.org/10.21598/JKPNFA.2024.22.3.379
Analysis of the Correlation between Body Skeletal Muscle Mass and Limb Circumference in Healthy Adults
Yeong-Hun Kim⋅Min-Kyu Yun⋅Jung-Yeon Ahn⋅Ye-Ji Seo⋅Sang-Yeol Lee, P.T., Ph.D.†
Department of Physical Therapy, Kyungsung University
Correspondence to: †Sang-Yeol Lee (sjslh486@ks.ac.kr)
Received: October 21, 2024; Revised: November 7, 2024; Accepted: November 7, 2024; Published online: December 31, 2024.
© Korea Proprioceptive Neuromuscular Facilitation Association. All rights reserved.

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Purpose: The purpose of this study aims to provide basic data for rapid prediction of sarcopenia by analyzing the correlation between muscle mass index measured through bioelectrical impedance measurement techniques, one of the muscle mass measurement methods, and limb circumference that can be simply measured in daily life.
Methods: The subjects of this study were 49 adults in their 20s, and bioelectrical impedance was measured to obtain skeletal muscle index (SMI). Before the measurement, the subject’s height, weight, age, and gender were entered, and the measurement posture was maintained until the end of the measurement by standing in an anatomical position with both arms spaced apart from the body about 15°. In addition, in order to measure the circumference of the body, it was measured at the pressure enough to lightly place it on the skin using a soft fitting tape measure. The circumference of the body was measured in a total of 6 places: wrist, forearm, upper arm, ankle, calf, and thigh. Each body part was measured twice to achieve the average, and at this time, both the reliability within the measurer and the reliability between the measurers were 0.9 or higher.
Results: SMI and wrist circumference (r=0.87), forearm circumference (r=0.93), upper arm circumference (r=0.85), and calf circumference (r=0.80) were strongly positively correlated (p<0.01). SMI and ankle circumference (r=0.74) and femoral circumference (r=0.72) were moderately positively correlated (p<0.01). And forearm circulation showed high correlation regardless of gender.
Conclusion: The results of this study suggest the possibility of using the forearm circumference as a new criterion for diagnosing sarcopenia and evaluating muscle mass. If standardized measurement methods and diagnostic criteria for forearm circumference are prepared, it will be used in conjunction with existing sarcopenia diagnostic tools to enable faster and more accurate diagnosis of muscle loss.
Keywords: Body mass index, Circumference, Sarcopenia

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