Prediction of fat-free mass from body surface area in young basketball players

Author:

Moraes Anderson Marques1,Espinoza Ruben Vidal2,Bergamo Raiany Rosa3,Gómez-Campos Rossana4,Lazari Evandro5,de Campos Luis Felipe Castelli Correia6,Sulla-Torres Jose7,Cossio-Bolaños Marco4

Affiliation:

1. Pontifical Catholic University of Campinas

2. Universidad Católica Silva Henriquez

3. Laboratory of Growth and Development (LabCred), Pediatrics Research Center (CIPED), Unicamp.

4. Universidad Católica del Maule

5. State University of Campinas

6. Universidad del Bio Bio

7. Universidad Católica Santa María

Abstract

Abstract Background FFM is an important and essential indicator in sports populations, since greater muscle and bone mass generates greater strength, endurance and speed in athletes. Objective The purpose of the study was to validate Body Surface Area (BSA) as an anthropometric indicator to estimate Fat Free Mass in young Brazilian basketball players. Methods A descriptive cross-sectional study was carried out in 141 male basketball players of the Brazilian Basketball Confederation of Sao Paulo (Campinas), Brazil. The age range was 11 to 17 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) and bone mass (BM). Results Three regression equations were generated: Eq. 1 had age and body weight as predictors (R2 = 94%, precision = 0.96 and accuracy = 0.99), Eq. 2 used age and BSA [FFM= -44. 508+(1.816*age)+(39.597*BSA)] (R2 = 96%, precision = 0.97 and accuracy = 0.99) and Eq. 3 was based on APHV and BSA (R2 = 94%, precision = 0.96 and accuracy = 0.99). Conclusions The results suggest the use of anthropometric equation using decimal age and BS 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.

Publisher

Research Square Platform LLC

Reference33 articles.

1. Clinical utility of visceral adipose tissue for the identification of cardiometabolic risk in white and African American adults;Katzmarzyk PT;Am J Clin Nutr,2013

2. Establishing body composition in obesity;Pietrobelli A;J Endocrinol Investig,2002

3. Assessment methods in human body composition;Lee SY;Curr Opin Clin Nutr Metab Care,2008

4. Contemporary methods of body composition measurement;Fosbøl MØ;Clin Physiol Funct Imaging,2015

5. Body composition techniques;Kuriyan R;Indian J Med Res,2018

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3