Picture of smart phone in human hand

World leading smartphone and mobile technology research at Strathclyde...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by Strathclyde researchers from the Department of Computer & Information Sciences involved in researching exciting new applications for mobile and smartphone technology. But the transformative application of mobile technologies is also the focus of research within disciplines as diverse as Electronic & Electrical Engineering, Marketing, Human Resource Management and Biomedical Enginering, among others.

Explore Strathclyde's Open Access research on smartphone technology now...

Validation of dual energy x-ray absorbtiometry and foot-foot impedance against deutrium dilution measures of aftness in children

Reilly, John J and Garasimidis, K and Papararcleous, N and Sherriff, A. and Carmichael, A. and Ness, AR and Wells, J.C. (2010) Validation of dual energy x-ray absorbtiometry and foot-foot impedance against deutrium dilution measures of aftness in children. International Journal of Pediatric Obesity, 5 (1). pp. 111-115. ISSN 1747-7166

Full text not available in this repository. (Request a copy from the Strathclyde author)

Abstract

To determine the validity of estimation of body fatness by dual-energy x-ray absorptiometry (DXA) and foot-foot bio-electrical impedance (BIA). In 176, 11-12-year-olds (84 boys; 92 girls) body fatness was measured using total body water (TBW), derived from deuterium oxide dilution space. Body fatness was also estimated from DXA and BIA. Methods were compared by regression and by Bland-Altman analysis using TBW measures as the reference. In boys, mean fat mass from TBW was 9.8 kg (standard deviation, SD=6.1); bias by DXA estimated fat mass was +0.9 kg (limits of agreement -2.2 to +4.1) and bias for BIA was -5.2 kg (limits of agreement +0.5 to -10.8). In boys, regression analysis indicated significant differences in slope (p<0.001) for DXA, and both slope (p < 0.001) and intercept (p < 0.001) for BIA. In girls, mean fat mass from TBW was 12.1 kg (SD 7.7); bias for DXA was +1.2 kg (limits of agreement -1.9 to +5.1) and bias for BIA was -0.2 kg (limits of agreement -5.4 to +5.1). In girls, regression analysis indicated significant differences for slope and intercept (p<0.001 in all cases) for both DXA and BIA. Errors in estimation of fat mass using BIA and DXA can be very large, and the direction of error can differ between the sexes.