Document Detail


Evaluation of a rotary laser body scanner for body volume and fat assessment.
MedLine Citation:
PMID:  21552454     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
This paper reports the evaluation tests on the reliability and validity of a 3-dimensional (3D) laser body scanner for estimation of body volume and % fat. Repeated measures of body imaging were performed for reproducibility analysis. Validity of the instrument was assessed by comparison of measures of body volume by imaging to hydrodensitometry, and body fat was compared to hydrodensitometry and dual energy X-ray absorptiometry. Reproducibility analysis showed little difference between within-subjects measurements of volume (ICC ≥ 0.99, p < 0.01). Body volume estimations by laser body scanner and hydrodensitometry were strongly related (r = 0.99, p < 0.01), and agreement was high (ICC = 0.99, p < 0.01). Measurements of % body fat also agreed strongly with each other between methods (ICC = 0.86, p < 0.01), and mean % fat estimates by body imaging did not differ from criterion methods (p > 0.05). These findings indicate that the 3D laser body scanner is a reliable and valid technique for the estimation of body volume. Furthermore, body imaging is an accurate measure of body fat, as compared to dual energy X-ray absorptiometry. This new instrument is promising as a quick, simple to use, and inexpensive method of body composition analysis.
Authors:
M Reese Pepper; Jeanne H Freeland-Graves; Wurong Yu; Philip R Stanforth; Bugao Xu
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Publication Detail:
Type:  JOURNAL ARTICLE    
Journal Detail:
Title:  Journal of testing and evaluation     Volume:  39     ISSN:  1945-7553     ISO Abbreviation:  -     Publication Date:  2010 Jul 
Date Detail:
Created Date:  2011-5-9     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101550009     Medline TA:  J Test Eval     Country:  -    
Other Details:
Languages:  ENG     Pagination:  1-6     Citation Subset:  -    
Affiliation:
Department of Nutritional Sciences, The University of Texas at Austin, Austin, TX 78712.
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MeSH Terms
Descriptor/Qualifier:
Grant Support
ID/Acronym/Agency:
R21 DK081206-01//NIDDK NIH HHS; R21 DK081206-02//NIDDK NIH HHS; R21 DK081206-03//NIDDK NIH HHS

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