A cross-sectional study on sarcopenia using different methods: reference values for healthy Saudi young men

BMC Musculoskeletal Disorders

Research Article

Shaea A. Alkahtani¹ 

[1] Department of Exercise Physiology, College of Sport Sciences and Physical Activity, King Saud University, PO Box 1949, 11441, Riyadh, Saudi Arabia;

关键词: Sarcopenia;    Appendicular lean mass;    Hand grip strength;    Saudi men;    Dual-energy X-ray absorptiometry;    Bioelectrical impedance analysis;   

DOI  :  10.1186/s12891-017-1483-7

 received in 2016-12-01, accepted in 2017-03-09,  发布年份 2017

来源: Springer

【 摘 要 】

BackgroundThe aim of this study was to determine reference values for sarcopenia indices using different methods in healthy Saudi young men.MethodsParticipants included 232 Saudi men aged between 20 and 35 years. The study measured anthropometric indices, blood pressure, hand grip strength, and lean muscle mass using dual-energy X-ray absorptiometry (DXA), and bioelectrical impedance analysis (BIA) was performed using Inbody 770 and Tanita 980 devices.ResultsUsing DXA, the mean value of appendicular lean mass divided by the height squared (ALM/ht2) was found to be 8.97 ± 1.23 kg/m2; hand grip strength measured 42.8 ± 7.6 kg. While the differences between DXA and BIA (Tanita) were significant for all parameters, the differences between DXA and Inbody values were significant only for ALM parameters. Inbody sensitivity and specificity values were 73% and 95.9%, respectively. The kappa (P = 0.80) and p values (P < 0.001) showed good agreement between Inbody and DXA, whereas Tanita sensitivity and specificity values were 54.2% and 98.3%, respectively. Bland-Altman plots for differences in lean mass values between Tanita, Inbody, and DXA methods showed very high bias for Tanita and DXA, with significant differences (P < 0.001).ConclusionsThe cut-off values for sarcopenia indices for Saudi young men are different from those of other ethnicities. The use of tailored cut-off reference values instead of a general cut-off for BIA devices is recommended.

【 授权许可】

CC BY   
© The Author(s). 2017