■估计无脂肪质量(FFM)是人体成分测量的组成部分,因此,获得评估FFM的准确估计对研究人员和专家至关重要。我们旨在开发和验证一个简单的公式来预测成年人口的FFM。
■参与者是1996年的成年人(1085名男性和911名女性),来自阿瓦士市的18至69岁,伊朗南部。从2018年1月至2020年2月,他们被随机分为推导组(n=1396)和验证组(n=600),没有显着差异。FFM通过生物电阻抗分析仪(BIA)(InBody770©;Biospace,首尔,韩国)。根据从派生组检索到的人口统计变量,使用多元回归建立了8个FFM预测方程;最后,选择最准确的模型(使用决定系数(R2)),然后在Validation组进行验证以进行更多评估.
■从人口统计学特征得出的最佳方程是:\“FFM=0.28×体重(kg)0.57×身高(cm)7.35×性别(M=1,F=0)0.03×年龄(岁)-70.61\”;其中男性性别=1,女性为0。R=0.94,R2=0.89,估计值的标准误差=4.04kg。
■我们开发并交叉验证的人体测量学预测方程,用于使用BIA进行无脂肪质量估计,获得了很高的确定系数,估计的标准误差很低,和最低的变异系数。预测方程可能是成人人群无脂质量临床评估的可靠且有价值的替代方法。
UNASSIGNED: Estimating Fat-Free Mass (FFM) is an integral part of Body composition measurements, so obtaining an accurate estimation for evaluating FFM is critical for researchers and specialists. We aimed to develop and validate a simple equation for predicting FFM in the adult population.
UNASSIGNED: Participants were 1996 adults (1085 men and 911 women), and 18 to 69 years old from Ahvaz City, southern Iran. They were randomly divided into the derivation (n=1396) and the validation (n=600) groups with no significant differences from Jan 2018 to Feb 2020. FFM was measured by Bioelectrical Impedance Analyzer (BIA) (InBody 770©; Biospace, Seoul, South Korea). Based on the demographic variables retrieved from the Derivation group, 8 FFM predictive
equations were developed using multiple regression; finally, the most accurate model (using the coefficient of determination (R2)) was chosen and then validated on the Validation group for more evaluation.
UNASSIGNED: The best equation derived from demographic characteristics was: \"FFM= 0.28 × Weight (kg) + 0.57×Height (cm)+7.35×Sex (M=1, F=0)+0.03×Age (years)-70.61\"; where sex = 1 for male and 0 for female. R=0.94, R2=0.89, standard error of the estimate=4.04 kg.
UNASSIGNED: Our developed and cross-validated anthropometric prediction equation for fat-free mass estimation using BIA attained a high coefficient of determination, a low standard error of the estimate, and the lowermost coefficient of variation. Predictive
equations may be reliable and valuable alternative methods for the clinical evaluation of fat-free mass in the adult population.