Skip to content
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
agricultural and biological sciences
Body composition of bangladeshi children: Comparison and development of Leg-to-Leg bioelectrical impedance equation
Journal of Health, Population and Nutrition, Volume 30, No. 3, Year 2012
Notification
URL copied to clipboard!
Description
The aim of this study was to investigate the validity of the Tanita TBF 300A leg-to-leg bioimpedance analyzer for estimating fat-free mass (FFM) in Bangladeshi children aged 4-10 years and to develop novel prediction equations for use in this population, using deuterium dilution as the reference method. Two hundred Bangladeshi children were enrolled. The isotope dilution technique with deuterium oxide was used for estimation of total body water (TBW). FFM estimated by Tanita was compared with results of deuterium oxide dilution technique. Novel prediction equations were created for estimating FFM, using linear regression models, fitting child's height and impedance as predictors. There was a significant difference in FFM and percentage of body fat (BF%) between methods (p<0.01), Tanita underestimating TBW in boys (p=0.001) and underestimating BF% in girls (p<0.001). A basic linear regression model with height and impedance explained 83% of the variance in FFM estimated by deuterium oxide dilution technique. The best-fit equation to predict FFM from linear regression modelling was achieved by adding weight, sex, and age to the basic model, bringing the adjusted R2 to 89% (standard error=0.90, p<0.001). These data suggest Tanita analyzer may be a valid field-assessment technique in Bangladeshi children when using populationspecific prediction equations, such as the ones developed here. ©INTERNATIONAL CENTRE FOR DIARRHOEAL DISEASE RESEARCH, BANGLADESH.
Authors & Co-Authors
Khan, Ashraful Islam
Bangladesh, Dhaka
International Centre for Diarrhoeal Disease Research Bangladesh
Sweden, Uppsala
Uppsala Universitet
Hawkesworth, Sophie
United Kingdom, London
London School of Hygiene & Tropical Medicine
Hawlader, Mohammad Delwer Hossain
Bangladesh, Dhaka
International Centre for Diarrhoeal Disease Research Bangladesh
Arifeen, Shams E.
Bangladesh, Dhaka
International Centre for Diarrhoeal Disease Research Bangladesh
Moore, Sophie E.
United Kingdom, London
London School of Hygiene & Tropical Medicine
Hills, Andrew Peter
Australia, Brisbane
Queensland University of Technology
Wells, Jonathan C.K.
Unknown Affiliation
Persson, Lars Åke Å.
Sweden, Uppsala
Uppsala Universitet
Kabir, Iqbal A.K.M.
Bangladesh, Dhaka
International Centre for Diarrhoeal Disease Research Bangladesh
Statistics
Citations: 24
Authors: 9
Affiliations: 4
Identifiers
Doi:
10.3329/jhpn.v30i3.12291
ISSN:
16060997
Research Areas
Environmental
Maternal And Child Health
Study Design
Cross Sectional Study
Participants Gender
Male
Female