Literature DB >> 8780360

Why bioelectrical impedance analysis should be used for estimating adiposity.

L B Houtkooper1, T G Lohman, S B Going, W H Howell.   

Abstract

The whole-body bioelectrical impedance analysis (BIA) approach for estimating adiposity and body fat is based on empirical relations established by many investigators. Properly used, this noninvasive body-composition assessment approach can quickly, easily, and relatively inexpensively provide accurate and reliable estimates of fat-free mass (FFM) and total body water (TBW) in healthy populations. The estimated FFM or TBW values are used to calculate absolute and relative body fat amounts. When different investigators follow the same standard BIA procedures and use the same population and criterion method, similar prediction equations and relatively small prediction errors have been reported for measurement of FFM and TBW (SEE: 1.7-3.0 for FFM and 0.23-1.5 kg for TBW). The BIA approach is most appropriate for estimating adiposity of groups in epidemiologic and field studies but has limited accuracy for estimating body composition in individuals. When used as a simple index (stature2/ resistance), BIA is more sensitive and specific for grading average adiposity in groups than some other anthropometric indexes such as the body mass index. Prediction equations based on BIA have been validated and cross-validated in children, youths, adults, and the elderly, in primarily white populations and, to a limited extent, in Asian, black, and Native American populations.

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Year:  1996        PMID: 8780360     DOI: 10.1093/ajcn/64.3.436S

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  49 in total

1.  Circadian rhythm of some parameters of body composition in the elderly investigated by means of bioelectrical impedance analysis.

Authors:  P Cugini; A Salandri; V Celli; R Leonetti Luparini; R De Rosa; V Marigliano
Journal:  Eat Weight Disord       Date:  2002-09       Impact factor: 4.652

2.  Prediction of fat-free mass by bioelectrical impedance analysis in older adults from developing countries: a cross-validation study using the deuterium dilution method.

Authors:  H Aleman-Mateo; E Rush; J Esparza-Romero; E Ferriolli; M Ramirez-Zea; A Bour; G Yuchingtat; R Ndour; N Mokhtar; M E Valencia; D A Schoeller
Journal:  J Nutr Health Aging       Date:  2010-06       Impact factor: 4.075

3.  Longitudinal studies to determine the effect of body fat rate reduction on blood pressure.

Authors:  T Wada; Y Ikeda
Journal:  J Med Syst       Date:  1998-02       Impact factor: 4.460

4.  The effects of circulating testosterone and pubertal maturation on risk for disordered eating symptoms in adolescent males.

Authors:  K M Culbert; S A Burt; C L Sisk; J T Nigg; K L Klump
Journal:  Psychol Med       Date:  2014-01-09       Impact factor: 7.723

5.  Daily hunger sensation and body compartments: II. Their relationships in obese patients.

Authors:  P Cugini; A Salandri; M Cilli; P Ceccotti; A Di Marzo; A Rodio; S Fontana; A M Pellegrino; G P De Francesco; S Coda; F De Vito; L Colosi; C M Petrangeli; C Giovannini
Journal:  Eat Weight Disord       Date:  1999-06       Impact factor: 4.652

Review 6.  Sarcopenic obesity in older adults: aetiology, epidemiology and treatment strategies.

Authors:  John A Batsis; Dennis T Villareal
Journal:  Nat Rev Endocrinol       Date:  2018-09       Impact factor: 43.330

7.  Establishment of intestinal microbiota during early life: a longitudinal, explorative study of a large cohort of Danish infants.

Authors:  Anders Bergström; Thomas Hjort Skov; Martin Iain Bahl; Henrik Munch Roager; Line Brinch Christensen; Katrine Tschentscher Ejlerskov; Christian Mølgaard; Kim F Michaelsen; Tine Rask Licht
Journal:  Appl Environ Microbiol       Date:  2014-02-28       Impact factor: 4.792

8.  Single frequency bioelectrical impedance is a poor method for determining fat mass in moderately obese women.

Authors:  Veronica P Alvarez; John B Dixon; Boyd J G Strauss; Cheryl P Laurie; Timothy B Chaston; Paul E O'Brien
Journal:  Obes Surg       Date:  2007-02       Impact factor: 4.129

9.  Determinants of resting energy expenditure in obese and non-obese children and adolescents.

Authors:  G Rodríguez; L A Moreno; A Sarría; I Pineda; J Fleta; J M Pérez-González; M Bueno
Journal:  J Physiol Biochem       Date:  2002-03       Impact factor: 4.158

10.  The relationship of high sensitivity C-reactive protein to percent body fat mass, body mass index, waist-to-hip ratio, and waist circumference in a Taiwanese population.

Authors:  Cheng-Chieh Lin; Sharon L R Kardia; Chia-Ing Li; Chiu-Shong Liu; Ming-May Lai; Wen-Yuan Lin; Pei-Chia Chang; Yih-Dar Lee; Ching-Chu Chen; Chih-Hsueh Lin; Chuan-Wei Yang; Chih-Yi Hsiao; Walter Chen; Tsai-Chung Li
Journal:  BMC Public Health       Date:  2010-09-28       Impact factor: 3.295

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