Prediction and discrimination of skeletal muscle function by bioelectrical impedance vector analysis using a standing impedance analyzer in healthy Taiwanese adults

• Published in: PloS one Vol. 15; no. 6; p. e0231604
• Main Authors: Lee, Li-Wen, Lu, Hsueh-Kuan, Chen, Yu-Yawn, Lai, Chung-Liang, Chu, Lee-Ping, Hsieh, Meng-Che, Hsieh, Kuen-Chang
• Format: Journal Article
• Language: English
• Published: San Francisco Public Library of Science 12.06.2020; Public Library of Science (PLoS)
• Subjects: Adults; Analysis; Anthropometry; Bioelectric impedance; Bioelectricity; Biology and Life Sciences; Body composition; Body mass; Body mass index; Body size; Chronic illnesses; Demographic aspects; Disease; Education; Hospitals; Hydration; Impedance; Mathematical analysis; Medicine and Health Sciences; Mortality; Muscle function; Muscle strength; Musculoskeletal system; Nutritional status; Parameters; Physical fitness; Physical Sciences; Physiological aspects; Reactance; Research and Analysis Methods; Skeletal muscle; Studies; Vector analysis; Taiwan
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0231604

Bioelectrical impedance vector analysis (BIVA) has been used for prediction of muscle performance. However, little is known about BIVA in Asian adults, and even less is known about using standing BIVA devices. Standing impedance analyzer allows quicker and more convenient way to gather data than conventional supine analyzer and is more suitable for clinical practice. This study aimed to investigate the relations between muscle function and BIVA parameters measured with a standing impedance analyzer in healthy Taiwanese adults. A total of 406 healthy subjects (age 34.5 ± 17.3 years, body mass index 24.1 ± 4.1 kg/m.sup.2) were recruited for BIVA and handgrip strength (HGS) measurements. Impedance parameters, including resistance (R) and reactance (Xc), were measured and normalized to body size by dividing by height (H). The resulting phase angle (PhA) was calculated. HGS in the dominant, left, and right hands were referred to as HGS.sub.DH, HGS.sub.LH, and HGS.sub.RH, respectively. All subjects were divided into 5 grades according to HGS. Muscle strength in the dominant, right, and left arms was correlated with variables in the order of sex, weight, age, height, Xc/H, and R/H (all, p < 0.001). Using all 6 variables, the determination coefficients were 0.792, 0.782, and 0.745, respectively, whereas the standard errors of estimates were 56.89, 58.01, and 56.67 N for HGS.sub.DH, HGS.sub.LH, and HGS.sub.RH, respectively. HGS was positively correlated with PhA, and negatively correlated with Xc/H and R/H. BIVA parameters measured with a standing impedance analyzer and anthropometric variables can predict and discriminate muscle function with good performance in healthy Asian adults.