Thesis-2012-Keil.pdf (1.7 MB)
The body composition of elite wheelchair basketball players
thesis
posted on 2012-07-26, 14:21 authored by Mhairi KeilThe assessment of body composition is a commonly used monitoring tool in elite
sports, to assess changes as a result of either a training and/or dietary intervention.
Theoretically, excess body fat, above levels required for health and sporting
performance, constitutes additional load that is non-functional. In most sports, the
movement of this additional weight will increase energy expenditures and muscle
glycogen utilisation and could contribute to premature muscle fatigue. In addition,
non-functional mass has also been shown to have an impact on performance factors
such as speed, acceleration and drag/rolling resistance (e.g. in cycling or wheelchair
sports). For these reasons, body composition is often an important performance
measure that requires attention. Individuals who are wheelchair bound experience
substantial muscle atrophy of the lower extremities and have a greater tendency to
store fat mass. It is of importance from both a health and performance perspective to
understand the body composition of athletes with a disability. There are numerous
techniques available to estimate body composition; therefore it is also important to
determine the most suitable for use in elite wheelchair athletes, and whether they are
sensitive enough to detect small yet significant changes.
The first study, Chapter 4 was designed to assess the reproducibility of dual energy
X-ray absorptiometry within a cohort of elite wheelchair basketball players. In
addition, this chapter sought to establish measurement error and determine the least
significant change that would need to be observed, to be certain of a change in body
composition. The findings demonstrated good reproducibility with coefficient of
variation values for all whole body measurements being <2.0%, with the exception of
arm fat mass (kg) (7.8%). All segmental coefficient of variation values ranged
between 0.1-3.7% for bone mass, fat mass and lean mass. The least significant
change for fat mass, lean mass and bone mass were determined to be at least 1kg,
1.1kg and 120g, respectively. This information concluded that dual energy X-ray
absorptiometry was an appropriate reference technique for use in this specific cohort
and helped to identify meaningful changes in body composition in Study3, Chapter 6.
Chapter 5 compared body composition data obtained from three techniques (skinfold
measurements and associated skinfold prediction equations, bioelectrical impedance
and air displacement plethysmography), to the reference data obtained from DXA, in
order to establish the agreement, accuracy and validity between the methods
employed. These findings demonstrated that whilst skinfold prediction equations,
bioelectrical impedance and air displacement plethysmography showed a good
agreement with DXA, neither were accurate or valid techniques for the assessment
of body composition in elite wheelchair athletes.
The final study (Chapter 6) documented the seasonal changes that occurred
throughout a 15 month training period. In addition this chapter examined how well
skinfold measurements could track changes in body composition, and how sensitive
this technique was to changes in fat mass, as identified using DXA. The results
demonstrated that the sum of skinfold measurements could track small (0.34
standard deviations) to moderate (0.4 standard deviations) changes in fat mass. In
absolute terms the least significant change for sum of 8, 6 and 4 skinfolds were
14mm, 13mm and 10mm. In relative terms, a ratio of 1.13, 1.17 and 1.28 could be
applied to sum of 8, 6 and 4 skinfolds to establish the smallest meaningful change. In
addition, a skinfold prediction equation was proposed that could determine
percentage body fat from sum of skinfolds in elite wheelchair athletes.
The results of this thesis add to the current literature by describing the physical
characteristics of elite wheelchair athletes, and demonstrating that DXA and skinfold
measurements are appropriate techniques for use in this population. These findings
also provide some useful guidelines to determine meaningful change and present a
skinfold prediction equation that is specific to this cohort.
History
School
- Sport, Exercise and Health Sciences
Publisher
© Mhairi KeilPublication date
2012Notes
A Master's Thesis. Submitted in partial fulfilment of the requirements for the award of Master of Philosophy of Loughborough University.Language
- en
Qualification name
- MPhil
Qualification level
- Masters