Statistical analysis
TBI
REGRESSION
Descriptive data are expressed as mean plus standard deviation (mean ± SD), and are shown with ranges. Data were tested for normal distribution using the Kolmogorov-Smirnov test. All statistical analyses were performed using SPSS V20 (Statistical Package for the Social Sciences, IBM SPSS statistics for Windows; IBM Corp., Armonk, NY, USA). Power analysis uses the G-Power analysis software program (G Power 3.1.9, University of Dusseldorf, Germany) to determine the minimum number of samples required to establish the most regression equation (calculated with alpha = 0.05, two-tailed, power = 0.95, Number of predictors = 4), the minimum sample size is 60. The significance level was set at p < 0.05 (two-tailed). Spearman correlation coefficient analysis was used to describe the correlation between variables. Respectively, two-thirds and one-third of the total subjects were randomly divided into a MG and a VG. Height, weight, age, gender, WC, HC, BMI, trunk bioimpedance index (TBI), and whole body bioimpedance index (WBI) were used as predictor variables. CT-derived psoas major area (PMM