Literature DB >> 19875994

Validation of bioelectrical impedance analysis in adolescents across different ethnic groups.

Dalia Haroun1, Stephanie J C Taylor, Russell M Viner, Rachel S Hayward, Tegan S Darch, Simon Eaton, Tim J Cole, Jonathan C K Wells.   

Abstract

Adolescent obesity is difficult to assess in multi-ethnic populations using BMI, due to variability in the BMI-fatness relationship. We aimed to describe body composition (BC), and to validate leg-leg bioelectrical impedance analysis (BIA), in adolescents from different ethnic groups using deuterium (D(2)O) as the reference method. Measurements were made of weight, height, total body water (TBW), and BIA (TANITA TBF-300) in 110 white, 170 Asian, and 102 black adolescents aged 11-15 years. TBW was converted to lean mass (LM) using assumed hydration of lean tissue. General linear models were used to compare BC by D(2)O between the ethnic groups. BC values from D(2)O were compared with TANITA values, and used to generate ethnic-specific prediction equations in the whole sample, and also in equation-generation (group 1) and cross-validation (group 2) subsamples. Ethnic variability in BMI did not reflect variability in adiposity. Asians had less LM than white and black adolescents, and less fat mass (FM) than white girls. TANITA in-built equations did not predict BC accurately across ethnic groups, with significant bias in white and Asian males, and Asian and black females. The new equation generated from the entire sample removes ethnic-specific mean biases. The group 1 equation showed no significant bias in any ethnic group when tested in group 2. We found significant variability in BC between ethnic groups that was not reflected by BMI. Manufacturers' equations are unsuitable for predicting BC in multi-ethnic populations, and our new equations are recommended.

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Year:  2009        PMID: 19875994     DOI: 10.1038/oby.2009.344

Source DB:  PubMed          Journal:  Obesity (Silver Spring)        ISSN: 1930-7381            Impact factor:   5.002


  39 in total

Review 1.  Body composition during growth in children: limitations and perspectives of bioelectrical impedance analysis.

Authors:  U G Kyle; C P Earthman; C Pichard; J A Coss-Bu
Journal:  Eur J Clin Nutr       Date:  2015-06-03       Impact factor: 4.016

2.  Evaluation of simple body composition methods: assessment of validity in prepubertal Chilean children.

Authors:  C A Aguirre; G D C Salazar; D V Lopez de Romaña; J A Kain; C L Corvalán; R E Uauy
Journal:  Eur J Clin Nutr       Date:  2014-08-06       Impact factor: 4.016

3.  Calibration of bioelectrical impedance analysis for body composition assessment in Ethiopian infants using air-displacement plethysmography.

Authors:  R Wibæk; P Kæstel; S R Skov; D L Christensen; T Girma; J C K Wells; H Friis; G S Andersen
Journal:  Eur J Clin Nutr       Date:  2015-04-01       Impact factor: 4.016

4.  Relationship between the body adiposity index and cardiometabolic risk factors in obese postmenopausal women.

Authors:  Belinda Elisha; Rémi Rabasa-Lhoret; Virginie Messier; Joseph Abdulnour; Antony D Karelis
Journal:  Eur J Nutr       Date:  2012-01-01       Impact factor: 5.614

5.  Ethnic variation in body composition assessment in a sample of adolescent girls.

Authors:  Katie A Meyer; Sarah Friend; Peter J Hannan; John H Himes; Ellen W Demerath; Dianne Neumark-Sztainer
Journal:  Int J Pediatr Obes       Date:  2011-07-12

6.  Comparison of 3 measures of physical activity and associations with blood pressure, HDL, and body composition in a sample of adolescents.

Authors:  Mary O Hearst; John R Sirard; Leslie Lytle; Donald R Dengel; David Berrigan
Journal:  J Phys Act Health       Date:  2012-01

7.  CVD-predictive performances of "a body shape index" versus simple anthropometric measures: Tehran lipid and glucose study.

Authors:  Mohammadreza Bozorgmanesh; Mahsa Sardarinia; Farhad Hajsheikholeslami; Fereidoun Azizi; Farzad Hadaegh
Journal:  Eur J Nutr       Date:  2015-01-18       Impact factor: 5.614

Review 8.  Why are South Asians prone to type 2 diabetes? A hypothesis based on underexplored pathways.

Authors:  K M Venkat Narayan; Alka M Kanaya
Journal:  Diabetologia       Date:  2020-03-31       Impact factor: 10.122

9.  Influence of adiposity on insulin resistance and glycemia markers among U.K. Children of South Asian, black African-Caribbean, and white European origin: child heart and health study in England.

Authors:  Claire M Nightingale; Alicja R Rudnicka; Christopher G Owen; Jonathan C K Wells; Naveed Sattar; Derek G Cook; Peter H Whincup
Journal:  Diabetes Care       Date:  2013-01-11       Impact factor: 19.112

10.  Defining body fatness in adolescents: a proposal of the AFAD-A classification.

Authors:  María del Mar Bibiloni; Antoni Pons; Josep A Tur
Journal:  PLoS One       Date:  2013-02-06       Impact factor: 3.240

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