Main Organiser

Julius Centre University of Malaya

Co-organiser

Department of Social and Preventive Medicine, Faculty of Medicine, University of Malay

Supported by

University of Malaya

PREDICTION OF TOTAL FAT MASS AND LEAN BODY MASS BY ULTRASONOGRAPHY IN A TAIWANESE OLDER POPULATION

Author

Lee-Hwa Chen 1 , Pei-Sung Chin 1 , Jou-Min Tung 1 , Chia-Hao Chou 2 , Chin-Chueh Tsai 1 , Kuei-Yu Chieh 3

Institution

1 Department of Athletic Training and Health, National Taiwan Sport University
2 Center for General Education, Chi-Nan University
3 Graduate Institute of Sports Science, National Taiwan Sport University

Abstract

Introduction: Due to the non-invasibility and conveniency, ultrasound has been widely applied in research and clinical diagnosis for assessment of percentage of total body fat (%BF) and lean muscle mass (LMM). However, the use of ultrasound to evaluate body composition for Taiwanese elderly is still not well learned.

Objectives: The purpose of this study was designed to develop regression-based prediction equations for %BF and LMM by ultrasound with dual-energy X-ray absorptiometry (DEXA) as a reference.

Methods: A total of 58 community-dwellers (23 men and 35 women, age 72.6±7.3 yrs) volunteered for the study. %BF and LMM were measured by DEXA. Subcutaneous adipose tissue (AT) and muscle thicknesses were measured by B-mode ultrasonography at 11 sites of the body. Regression analyses were used to determine the relationships between %BF, LMM obtained by DEXA and all ultrasound measurements.

Results: The R-squared value of %BF estimated by our equation and DEXA was .783 including abdominal AT, gluteus medius muscle (GM), triceps and Vastus lateralis AT as predicting parameters, whereas the R-squared value for LMM estimation was .654 with forearm muscle, GM, biceps muscle, triceps AT, and Biceps femoris muscle remained in the equation.

Conclusion: These results suggest that ultrasound- derived prediction equations are appropriate for estimating %BF and LMM for this ethnic older population in Taiwan.