Novel strength test battery to permit evidence-based paralympic classification

Beckman, Emma M., Newcombe, Peter, Vanlandewijck, Yves, Connick, Mark J. and Tweedy, Sean M. (2014) Novel strength test battery to permit evidence-based paralympic classification. Medicine, 93 4: e31.1-e31.8. doi:10.1097/MD.0000000000000031

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Author Beckman, Emma M.
Newcombe, Peter
Vanlandewijck, Yves
Connick, Mark J.
Tweedy, Sean M.
Title Novel strength test battery to permit evidence-based paralympic classification
Journal name Medicine   Check publisher's open access policy
ISSN 1536-5964
Publication date 2014
Sub-type Article (original research)
DOI 10.1097/MD.0000000000000031
Open Access Status DOI
Volume 93
Issue 4
Start page e31.1
End page e31.8
Total pages 8
Place of publication Philadelphia, PA, United States
Publisher Lippincott Williams and Wilkins
Collection year 2015
Abstract Ordinal-scale strength assessment methods currently used in Paralympic athletics classification prevent the development of evidence-based classification systems. This study evaluated a battery of 7, ratio-scale, isometric tests with the aim of facilitating the development of evidence-based methods of classification. This study aimed to report sex-specific normal performance ranges, evaluate test-retest reliability, and evaluate the relationship between the measures and body mass.Body mass and strength measures were obtained from 118 participants - 63 males and 55 females - ages 23.2 years±3.7 (mean±SD). Seventeen participants completed the battery twice to evaluate test-retest reliability. The body mass-strength relationship was evaluated using Pearson correlations and allometric exponents.Conventional patterns of force production were observed. Reliability was acceptable (mean intraclass correlation=0.85). Eight measures had moderate significant correlations with body size (r=0.30-61). Allometric exponents were higher in males than in females (mean 0.99 vs 0.30).Results indicate that this comprehensive and parsimonious battery is an important methodological advance because it has psychometric properties critical for the development of evidence-based classification. Measures were interrelated with body size, indicating further research is required to determine whether raw measures require normalization in order to be validly applied in classification.
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2015 Collection
School of Human Movement and Nutrition Sciences Publications
School of Psychology Publications
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