Department for Life Quality Studies, Università degli Studi di Bologna, 47921 Rimini, Italy.
Department of Biomedical and Neuromotor Sciences, Università degli Studi di Bologna, 40126 Bologna, Italy.
Nutrients. 2021 May 12;13(5):1620. doi: 10.3390/nu13051620.
Body composition is acknowledged as a determinant of athletic health and performance. Its assessment is crucial in evaluating the efficiency of a diet or aspects related to the nutritional status of the athlete. Despite the methods traditionally used to assess body composition, bioelectric impedance analysis (BIA) and bioelectric impedance vector analysis (BIVA) have recently gained attention in sports, as well as in a research context. Only until recently have specific regression equations and reference tolerance ellipses for athletes become available, while specific recommendations for measurement procedures still remain scarce. Therefore, the present narrative review summarizes the current literature regarding body composition analysis, with a special focus on BIA and BIVA. The use of specific technologies and sampling frequencies is described, and recommendations for the assessment of body composition in athletes are provided. Additionally, the estimation of body composition parameters (i.e., quantitative analysis) and the interpretation of the raw bioelectrical data (i.e., qualitative analysis) are examined, highlighting the innovations now available in athletes. Lastly, it should be noted that, up until 2020, the use of BIA and BIVA in athletes failed to provide accurate results due to unspecific equations and references; however, new perspectives are now unfolding for researchers and practitioners. In light of this, BIA and especially BIVA can be utilized to monitor the nutritional status and the seasonal changes in body composition in athletes, as well as provide accurate within- and between-athlete comparisons.
身体成分被认为是运动健康和表现的决定因素。评估身体成分对于评估饮食效率或与运动员营养状况相关的方面至关重要。尽管传统上使用了一些方法来评估身体成分,但生物电阻抗分析(BIA)和生物电阻抗矢量分析(BIVA)最近在运动领域以及研究中引起了关注。直到最近,才为运动员提供了特定的回归方程和参考容限椭圆,而针对测量程序的具体建议仍然很少。因此,本叙述性综述总结了目前关于身体成分分析的文献,特别关注 BIA 和 BIVA。描述了特定技术和采样频率的使用,并提供了运动员身体成分评估的建议。此外,还检查了身体成分参数的估计(即定量分析)和原始生物电阻抗数据的解释(即定性分析),强调了现在在运动员中可用的创新。最后应该指出的是,直到 2020 年,由于方程和参考值不具体,BIA 和 BIVA 在运动员中的应用无法提供准确的结果;但是,现在研究人员和从业者有了新的视角。鉴于此,BIA,特别是 BIVA,可用于监测运动员的营养状况和身体成分的季节性变化,并提供准确的运动员内和运动员间比较。