The accuracy and precision of DXA for assessing body composition in team sport athletes

Objective: Several methods for the assessment of body composition exist, yet they yield different results. The present study aimed to assess the extent of these differences on a sample of young, healthy subjects. We hypothesised that differences in body composition results obtained with different methods will vary to the extent that a subject can be misclassified into different nutritional categories. Research Methods and Procedures: Underwater weighing (UWW), bioelectrical impedance analysis (BIA), anthropometry (ANT), and dual-energy X-ray absorptiometry (DXA) were used to assess body composition. An extensive list of ANT regression equations (or sets of equations) was analysed in terms of accuracy and precision relative to DXA. Results: When DXA-determined body fat (BF) values were taken as a reference, UWW overestimated BF in both genders. In contrast, BIA (measured with a given bioimpedance analyser) underestimated BF in females, although BIA-determined BF did not differ from DXA in males. A huge difference in BF estimates (8–29% for females and 6–29% for males, for DXA-determined BF of 25.5% and 13.9% for females in males, respectively) was observed across a number of ANT regression equations; yet, ANT proved not to be inferior to DXA, provided that regression equations with the highest combinations of accuracy and precision were chosen. Conclusions: The study proved grounds for comparison of body composition results of young, healthy subjects, obtained with different methods and across a wide range of ANT regression equations. It also revealed a list of the most appropriate ANT regression equations for the selected sample and reported their accuracy and precision.

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Low Body Fat Does Not Influence Recovery after Muscle-Damaging Lower-Limb Plyometrics in Young Male Team Sport Athletes

Journal of Functional Morphology and Kinesiology ◽

10.3390/jfmk5040079 ◽

2020 ◽

Vol 5 (4) ◽

pp. 79

Author(s):

John F. T. Fernandes ◽

Kevin L. Lamb ◽

Craig Twist

Keyword(s):

Body Composition ◽

Muscle Damage ◽

Body Fat ◽

Knee Extensor ◽

Young Male ◽

Peak Torque ◽

Team Sport ◽

Flight Time ◽

Fat Free Mass ◽

Plyometric Exercise

Aim: This study assessed the influence of fat mass to fat-free mass ratio (FM:FFM) on recovery from plyometric exercise. Method: After assessment of body composition, 20 male team sport players (age 20.7 ± 1.1 years; body mass 77.1 ± 11.5 kg) were divided into low- (n = 10; 0.11 ± 0.03) and normal- (n = 10; 0.27 ± 0.09) fat groups based on FM:FFM ratio. Thereafter, participants completed measurements of knee extensor torque at 60 and 240°∙s−1, countermovement jump flight time, plasma creatine kinase (CK) activity and perceived muscle soreness (VAS) before and at 0, 24 and 48 h after 10 × 10 maximal plyometric vertical jumps. Results: Evidence of muscle damage was confirmed by alterations in VAS, peak torque at 60 and 240°∙s−1 and flight time at 0, 24 and 48 h after plyometric exercise (P < 0.05). CK was increased at 0 and 24 h (P < 0.05) but returned to baseline values by 48 h. No time by group effects were observed for any of the dependent variables (P > 0.05). Conclusion: The current findings indicate that while muscle damage was present after plyometric exercise, the magnitude was similar across the two body composition groups. Applied practitioners can allow for a similar recovery time after plyometric exercise in those with low and normal body fat.

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Accuracy and precision of dual-energy X-ray absorptiometry for body composition measurements in rhesus monkeys*

Journal of Medical Primatology ◽

10.1034/j.1600-0684.2001.300204.x ◽

2001 ◽

Vol 30 (2) ◽

pp. 94-99 ◽

Cited By ~ 14

Author(s):

Angela Black ◽

Edward M. Tilmont ◽

David J. Baer ◽

William V. Rumpler ◽

Donald K. Ingram ◽

...

Keyword(s):

Body Composition ◽

Rhesus Monkeys ◽

Dual Energy ◽

X Ray ◽

Accuracy And Precision ◽

Composition Measurements

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Whole Body Composition by Hologic QDR 4500/A DXA: System Reliability versus User Accuracy and Precision

Applications and Experiences of Quality Control ◽

10.5772/15613 ◽

2011 ◽

Cited By ~ 2

Author(s):

Aldo Scafoglieri ◽

Steven Provyn ◽

Joanne Wallace ◽

Olivia Louis ◽

Jonathan Tresignie ◽

...

Keyword(s):

Body Composition ◽

System Reliability ◽

Whole Body ◽

Accuracy And Precision

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Effects of Nutrition Education Interventions in Team Sport Players. A Systematic Review

Nutrients ◽

10.3390/nu12123664 ◽

2020 ◽

Vol 12 (12) ◽

pp. 3664

Author(s):

Silvia Sánchez-Díaz ◽

Javier Yanci ◽

Daniel Castillo ◽

Aaron T. Scanlan ◽

Javier Raya-González

Keyword(s):

Systematic Review ◽

Body Composition ◽

Nutrition Education ◽

Physical Performance ◽

Eating Habits ◽

Team Sport ◽

Nutrition Knowledge ◽

Face To Face ◽

Competition Level ◽

Education Interventions

Considering nutrition education interventions have been frequently implemented in team sport athletes and have shown promising results, this study aimed to summarize the effects of nutrition education interventions on eating habits, nutrition knowledge, body composition, and physical performance in team sport athletes. A systematic review was conducted using the following databases: PubMed/MEDLINE, Web of Science and SPORTDiscus. A total of 14 studies met the inclusion criteria for the review. The methodological quality of included studies was evaluated, and each study was assessed according to the analyzed variables (i.e., eating habits, nutrition knowledge, body composition, and physical performance). Most studies showed improvements in or maintenance of variables used to indicate eating habits, nutrition knowledge, and body composition. However, limited studies examined the effect of nutrition education interventions on physical performance, with existing studies demonstrating disparate results. These findings suggest implementation of nutrition education interventions in team sport athletes could be an effective strategy to improve their eating habits, nutrition knowledge, and body composition. Due to the heterogeneity across the included studies regarding sport modality, competition level, age, and sex of the athletes investigated, as well as the intervention type adopted (i.e., online or face-to-face), it is difficult to establish optimal nutrition education interventions for each analyzed variable.

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