de Moraes Anderson Marques, Vidal-Espinoza Ruben, Bergamo Raiany Rosa, Gómez-Campos Rossana, de Lazari Evandro, de Campos Luis Felipe Castelli Correia, Sulla-Torres Jose, Cossio-Bolaños Marco
Department of Physical Education, School of Sports, Pontifical Catholic University of Campinas, Campinas, Brasil.
Universidad Católica Silva Henriquez, Santiago, Chile.
BMC Sports Sci Med Rehabil. 2024 Mar 6;16(1):65. doi: 10.1186/s13102-024-00857-x.
Fat Free Mass (FFM) is an important and essential indicator in various sports populations, since greater muscle and bone mass generates greater strength, endurance and speed in athletes.
The purpose of the study was to validate Body Surface Area (BSA) as an anthropometric indicator to estimate FFM in young basketball players.
A descriptive cross-sectional study was carried out in 105 male basketball players of the Brazilian Basketball Confederation of Sao Paulo (Campinas), Brazil. The age range was 11 to 15 years. Weight and height were evaluated. BSA, body mass index (BMI) and maturity status (MS) were calculated. Total body scanning was performed by dual X-ray absorptiometry (DXA). The components were extracted: Fat mass (FM), Fat free mass (FFM), percentage of fat mass (%FM) and bone mass (BM). The data were analyzed using the correlation coefficient of concordance (CCC) in terms of precision and accuracy.
Three regression equations were generated: equation 1 had age and body weight as predictors [FFM= -30.059+(2.926age)+(0.625Weight)] (R = 92%, precision = 0.96 and accuracy = 0.99), equation 2 used age and BSA [FFM=-45.719+(1.934age)+(39.388BSA)] (R = 94%, precision = 0.97 and accuracy = 0.99) and equation 3 was based on APHV and BSA [FFM=-15.284+(1.765APHV)+(37.610(BSA)] (R = 94%, precision = 0.96 and accuracy = 0.99).
The results suggest the use of anthropometric equation using decimal age and BSA to estimate FFM in young basketball players. This new method developed can be used to design, evaluate and control training programs and monitor the weight status of athletes.
无脂肪体重（FFM）是各类运动员群体中一项重要且关键的指标，因为更多的肌肉和骨骼质量能让运动员产生更强的力量、耐力和速度。
本研究旨在验证体表面积（BSA）作为一种人体测量指标，用于估算年轻篮球运动员的无脂肪体重。
对巴西圣保罗州巴西篮球联合会（坎皮纳斯）的105名男性篮球运动员进行了描述性横断面研究。年龄范围为11至15岁。评估了体重和身高。计算了体表面积、体重指数（BMI）和成熟度状态（MS）。通过双能X线吸收法（DXA）进行全身扫描。提取了各成分：脂肪量（FM）、无脂肪体重（FFM）、脂肪量百分比（%FM）和骨量（BM）。从精密度和准确度方面使用一致性相关系数（CCC）对数据进行分析。
生成了三个回归方程：方程1以年龄和体重作为预测因子[FFM = -30.059 + (2.926×年龄) + (0.625×体重)]（R = 92%，精密度 = 0.96，准确度 = 0.99），方程2使用年龄和体表面积[FFM = -45.719 + (1.934×年龄) + (39.388×体表面积)]（R = 94%，精密度 = 0.97，准确度 = 0.99），方程3基于青春期身高突增峰值（APHV）和体表面积[FFM = -15.284 + (1.765×APHV) + (37.610×体表面积)]（R = 94%，精密度 = 0.96，准确度 = 0.99）。
结果表明，使用基于实际年龄和体表面积的人体测量方程来估算年轻篮球运动员的无脂肪体重。所开发的这种新方法可用于设计、评估和控制训练计划以及监测运动员的体重状况。
