Literature DB >> 23680244

Comparison of DEXA-derived body fat measurement to two race-specific bioelectrical impedance equations in healthy Indians.

Priyanka Nigam1, Anoop Misra, Susan L Colles.   

Abstract

AIM: Prevalence of obesity is increasing in Asian Indians. Reliable, precise and convenient methods to estimate body composition are required. This study aimed to test the accuracy of bioelectrical impedance analysis (BIA) estimates of body composition among Asian Indians according to two BIA equations--one developed for Asians, the other for Caucasians.
METHODS: Two hundred apparently healthy Asian Indians (100 males, 100 females; mean age 36.6 ± 7.6 years; mean BMI 16.6-46.7 kg/m(2)) underwent BIA assessment of fat mass (FM), fat free mass (FFM) and percentage body fat (%BF) using Tanita Multi-Frequency Body Composition Analyzer MC-180MA (Tanita Corporation, Tokyo, Japan). One set of BIA values was automatically calculated by the analyzer (Caucasian figures), the other set by Tanita (Japanese Asian figures). Results were compared to dual X-ray absorptiometry (DEXA) as the standard measure.
RESULTS: A moderate level of relative agreement was found between the DEXA-derived measurement of %BF and the estimate from both the Caucasian (r(2)=0.75; p<0.001) and Asian equation (r(2)=0.7; p<0.001). Despite this, the level of absolute agreement was poor, with large bias and wide limits of agreement. According to the Caucasian equation the mean difference between methods was -8.3 ± 3.9 (95% limits of agreement -20.10 to 9.40), for the Asian equations mean difference was -5.4 ± 4.3 (95% limits of agreement -20.63 to 11.41). INTERPRETATION AND
CONCLUSIONS: When compared to DEXA, the current Asian and Caucasian Tanita formulae significantly under-estimate the %BF of Asian Indians.
Copyright © 2013 Diabetes India. Published by Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2013        PMID: 23680244     DOI: 10.1016/j.dsx.2013.02.031

Source DB:  PubMed          Journal:  Diabetes Metab Syndr        ISSN: 1871-4021


  12 in total

1.  Performance of Two Bioelectrical Impedance Analyses in the Diagnosis of Overweight and Obesity in Children and Adolescents: The FUPRECOL Study.

Authors:  Robinson Ramírez-Vélez; Jorge Enrique Correa-Bautista; Javier Martínez-Torres; Katherine González-Ruíz; Emilio González-Jiménez; Jacqueline Schmidt-RioValle; Antonio Garcia-Hermoso
Journal:  Nutrients       Date:  2016-10-04       Impact factor: 5.717

2.  Energy Cost of Standing in a Multi-Ethnic Cohort: Are Energy-Savers a Minority or the Majority?

Authors:  Cathríona R Monnard; Jennifer L Miles-Chan
Journal:  PLoS One       Date:  2017-01-05       Impact factor: 3.240

3.  Diabetes in the Kokan region of India.

Authors:  Patil Suvarna; Kadam Shruti; Desai Maruti; Joglekar Charudatta
Journal:  World J Diabetes       Date:  2019-01-15

4.  Anthropometric Indicators of Adiposity Related to Body Weight and Body Shape as Cardiometabolic Risk Predictors in British Young Adults: Superiority of Waist-to-Height Ratio.

Authors:  Farzad Amirabdollahian; Fahimeh Haghighatdoost
Journal:  J Obes       Date:  2018-11-01

Review 5.  Validity of Body-Composition Methods across Racial and Ethnic Populations.

Authors:  Malia N M Blue; Grant M Tinsley; Eric D Ryan; Abbie E Smith-Ryan
Journal:  Adv Nutr       Date:  2021-10-01       Impact factor: 8.701

6.  Determination of Cutoff Values for DEXA-Based Body Composition Measurements for Determining Metabolic and Cardiovascular Health.

Authors:  Pierre-Olivier Lang; Christophe Trivalle; Thomas Vogel; Jacques Proust; Jean-Pierre Papazyan; Moustapha Dramé
Journal:  Biores Open Access       Date:  2015-01-01

Review 7.  The theory and fundamentals of bioimpedance analysis in clinical status monitoring and diagnosis of diseases.

Authors:  Sami F Khalil; Mas S Mohktar; Fatimah Ibrahim
Journal:  Sensors (Basel)       Date:  2014-06-19       Impact factor: 3.576

8.  Comparison of Standing Posture Bioelectrical Impedance Analysis with DXA for Body Composition in a Large, Healthy Chinese Population.

Authors:  Kuen-Tsann Chen; Yu-Yawn Chen; Chia-Wei Wang; Chih-Lin Chuang; Li-Ming Chiang; Chung-Liang Lai; Hsueh-Kuan Lu; Gregory B Dwyer; Shu-Ping Chao; Ming-Kuei Shih; Kuen-Chang Hsieh
Journal:  PLoS One       Date:  2016-07-28       Impact factor: 3.240

9.  Comparisons of predictive values of sarcopenia with different muscle mass indices in Korean rural older adults: a longitudinal analysis of the Aging Study of PyeongChang Rural Area.

Authors:  Il-Young Jang; Hee-Won Jung; Chang Ki Lee; Sang Soo Yu; Young Soo Lee; Eunju Lee
Journal:  Clin Interv Aging       Date:  2018-01-12       Impact factor: 4.458

10.  Excess serum uric acid is associated with metabolic syndrome in obese adolescent patients.

Authors:  Christy Foster; Loretta Smith; Ramin Alemzadeh
Journal:  J Diabetes Metab Disord       Date:  2020-05-16
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.