scholarly journals Assessment of Body Composition in Athletes: A Narrative Review of Available Methods with Special Reference to Quantitative and Qualitative Bioimpedance Analysis

Nutrients ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 1620
Author(s):  
Francesco Campa ◽  
Stefania Toselli ◽  
Massimiliano Mazzilli ◽  
Luís Alberto Gobbo ◽  
Giuseppe Coratella

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.

2018 ◽  
Author(s):  
Carla M Prado ◽  
Camila LP Oliveira ◽  
M Cristina Gonzalez ◽  
Steven B Heymsfield

Body composition assessment is an important tool in both clinical and research settings able to characterize the nutritional status of individuals in various physiologic and pathologic conditions. Health care professionals can use the information acquired by body composition analysis for the prevention and treatment of diseases, ultimately improving health status. Here we describe commonly used techniques to assess body composition in healthy individuals, including dual-energy x-ray absorptiometry, bioelectrical impedance analysis, air displacement plethysmography, and ultrasonography. Understanding the key underlying concept(s) of each assessment method, as well as its advantages and limitations, facilitates selection of the method of choice and the method of the compartment of interest. This review contains 5 figures, 3 tables and 52 references Key words: air displacement plethysmography, bioelectrical impedance analysis, body composition, disease, dual-energy x-ray absorptiometry, health, muscle mass, nutritional status, obesity, sarcopenia, ultrasound fat mass


2019 ◽  
Vol 51 (Supplement) ◽  
pp. 910
Author(s):  
Jana L. Arabas ◽  
Liz Jorn ◽  
Monica L. Hunter ◽  
Jerry L. Mayhew ◽  
William F. Brechue

2015 ◽  
Vol 32 (4) ◽  
pp. 258-268 ◽  
Author(s):  
Christopher Bismarck Eke ◽  
Bartholomew Friday Chukwu ◽  
Anthony Nnaemeka Ikefuna ◽  
Osita Uchenna Ezenwosu ◽  
Ifeoma Josephine Emodi

Author(s):  
Hanneke Pierre Franciscus Xaverius Moonen ◽  
Florianne Johanna Louise van Zanten ◽  
Luuk Driessen ◽  
Vivienne de Smet ◽  
Rianne Slingerland-Boot ◽  
...  

ASAIO Journal ◽  
1995 ◽  
Vol 41 (3) ◽  
pp. M725-M727 ◽  
Author(s):  
Mario Briganti ◽  
Giuseppe Emiliani ◽  
Augusto Montanari ◽  
Roberto Cocchi ◽  
Andrea Bondi ◽  
...  

1993 ◽  
Vol 75 (1) ◽  
pp. 162-166 ◽  
Author(s):  
L. C. Lands ◽  
C. Gordon ◽  
O. Bar-Or ◽  
C. J. Blimkie ◽  
R. M. Hanning ◽  
...  

Body composition analysis is an important component of nutritional assessment in cystic fibrosis (CF). No gold standard of measurement exists, and techniques applicable to healthy populations may be unsuitable for CF patients. We assessed lean body mass (LBM) in 12 children with CF by skinfold (SK) measurements, bioelectrical impedance analysis (BIA), and dual-photon absorptiometry (DPA) and repeated these measures in 10 subjects 6 mo later. SK and DPA measures in eight older CF patients and eight healthy controls were compared to evaluate any effect of disease on estimates of LBM by use of DPA. Good agreement between the measures was seen at baseline and 6 mo by use of concordance plots. However, the limits of agreement between measures ranged up to 19% of SK-derived LBM measures (baseline: SK and DPA, 2.63 to -3.93 kg; SK and BIA, 2.36 to -1.24 kg; BIA and DPA, 1.88 to -4.28 kg; 6 mo: SK and DPA, 2.10 to -3.58 kg; SK and BIA, 6.28 to -5.49 kg; BIA and DPA, 5.53 to -7.79 kg). The change in LBM over 6 mo did not correlate among the three measures. Only BIA change in LBM correlated with weight change (r = 0.716, P < 0.02), probably due to the inclusion of weight in the regression equations for determining LBM from impedance. The relationship between SK and DPA measures did not differ between the CF and control groups, suggesting that there was no effect of disease on the DPA measure. The results suggest that none of these methods is precise enough to follow short-term changes in the nutritional status of CF patients longitudinally.


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