Cutoff values for appendicular skeletal muscle mass using dual-energy x-ray absorptiometry in a reference group of Turkish adults

• Published in: Nutrition in clinical practice Vol. 39; no. 3; p. 626
• Main Authors: Dikmeer, Ayse, Unsal, Pelin, Burkuk, Suna, Ozturk, Yelda, Koca, Meltem, Guclu, Simay, Balci, Cafer, Dogu, Burcu B, Cankurtaran, Mustafa, Akata, Deniz, Halil, Meltem
• Format: Journal Article
• Language: English
• Published: United States 01.06.2024
• Subjects: Absorptiometry, Photon - methods; Adult; Aged; Body Composition; Body Mass Index; Body Weight; Female; Humans; Male; Middle Aged; Muscle, Skeletal - anatomy & histology; Muscle, Skeletal - diagnostic imaging; Muscle, Skeletal - physiology; Reference Values; Sex Factors; Turkey; Young Adult; Turkey; body composition; skeletal muscle; dual‐energy x‐ray absorptiometry; sarcopenia
• ISSN: 1941-2452
• DOI: 10.1002/ncp.11083

The aim of this study is to determine cutoff values for different appendicular skeletal muscle mass index (ASMI) methods measured by dual-energy x-ray absorptiometry (DXA) in a reference group of the Turkish population. Body composition analyses were performed with DXA, and appendicular skeletal muscle mass (ASM) was adjusted to body size as ASMI using height squared (ASM/ht ), weight (ASM/wt), and body mass index (BMI) (ASM/BMI). Sex-specific cutoff values were obtained as 1 and 2 standard deviations (SDs) below the mean values of ASM/ht , ASM/wt, and ASM/BMI. A total of 207 (106 women and 101 men) healthy adults were enrolled. Sex-specific cutoff values based on 1 SD below the mean values of ASM, ASM/ht , ASM/BMI, and ASM/wt were 14.44, 5.45, 0.61, and 24.07 in women and 22.63, 7.22, 0.90, and 29.04 in men, respectively; 2 SDs below the mean values of ASM, ASM/ht , ASM/BMI, and ASM/wt were 11.96, 4.65, 0.51, and 21.75 in women and 19.26, 6.40, 0.78, and 26.55 in men, respectively. ASM, ASM/BMI, ASM/ht , and ASM/wt were statistically significant positively correlated with handgrip strength (r = 0.81, r = 0.78, r = 0.73, and r = 0.67, respectively; P < 0.001). In this study, ASM/BMI was found to be the most suitable ASM adjustment method to predict muscle strength.