Literature DB >> 27176890

A Comparison of Methods for the Estimation of Body Composition in Highly Trained Wheelchair Games Players.

V Goosey-Tolfrey1, M Keil2, K Brooke-Wavell3, S de Groot4.   

Abstract

The purpose of this study was to assess the agreement in body composition measurements of wheelchair athletes using skinfolds, bio-impedance analysis (BIA) and air displacement plethysmography (ADP) relative to dual-energy X-ray absorptiometry (DXA). A secondary objective was to develop new skinfold prediction equations to estimate %fat for this sample. 30 wheelchair games players were recruited and the body composition outcomes of BIA, ADP, and skinfolds were compared to the DXA outcomes by a paired-samples t-test (systematic bias), intraclass correlation (ICC, relative agreement) and Bland-Altman plots (absolute agreement). Regression models to predict the %fat as measured by DXA by the sum of skinfolds or BIA were calculated. Results showed that the predictions of %fat when using BIA, ADP or skinfolds systematically underestimated the %fat mass as measured by the DXA. All ICC values, except for the measurement of fat (kg) by ADP (ICC=0.702), were below 0.7. New prediction models found the ∑7 skinfolds and calf circumference as the best model to predict %fat (R(2)=0.84). In conclusion, BIA, ADP and existing skinfolds equations should be used with caution when estimating %fat of wheelchair athletes with substantial body asymmetry, lower body muscular atrophy and upper body muscular development. © Georg Thieme Verlag KG Stuttgart · New York.

Entities:  

Mesh:

Year:  2016        PMID: 27176890     DOI: 10.1055/s-0042-104061

Source DB:  PubMed          Journal:  Int J Sports Med        ISSN: 0172-4622            Impact factor:   3.118


  7 in total

1.  Predicting resting energy expenditure in people with chronic spinal cord injury.

Authors:  Yiming Ma; Sonja de Groot; Dirk Hoevenaars; Wendy Achterberg; Jacinthe Adriaansen; Peter J M Weijs; Thomas W J Janssen
Journal:  Spinal Cord       Date:  2022-07-02       Impact factor: 2.772

2.  Forced Sedentariness and Sports Activity as Factors Differentiating Anthropometric Characteristics, Indices, and Body Composition in People with Disabilities.

Authors:  Anna Zwierzchowska; Barbara Rosołek; Marcin Sikora; Diana Celebańska
Journal:  Biology (Basel)       Date:  2022-06-13

3.  Effect of self-guided training for the HandbikeBattle on body composition in people with spinal cord injury.

Authors:  Sonja de Groot; Ingrid Kouwijzer; Marjolein Baauw; Rogier Broeksteeg; Linda J Valent
Journal:  Spinal Cord Ser Cases       Date:  2018-08-24

4.  Body Composition in Swiss Elite Wheelchair Athletes.

Authors:  Joelle Leonie Flueck
Journal:  Front Nutr       Date:  2020-01-22

5.  Body composition and bone mineral density in athletes with a physical impairment.

Authors:  Valentina Cavedon; Marco Sandri; Ilaria Peluso; Carlo Zancanaro; Chiara Milanese
Journal:  PeerJ       Date:  2021-05-10       Impact factor: 2.984

6.  Assessment of body composition in spinal cord injury: A scoping review.

Authors:  Jan W van der Scheer; Julia O Totosy de Zepetnek; Cheri Blauwet; Katherine Brooke-Wavell; Terri Graham-Paulson; Amber N Leonard; Nick Webborn; Victoria L Goosey-Tolfrey
Journal:  PLoS One       Date:  2021-05-07       Impact factor: 3.240

Review 7.  How Do We Assess Energy Availability and RED-S Risk Factors in Para Athletes?

Authors:  Kristin L Jonvik; Birna Vardardottir; Elizabeth Broad
Journal:  Nutrients       Date:  2022-03-03       Impact factor: 5.717

  7 in total

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