Literature DB >> 14618476

Predicting fat-free mass in children using bioimpedance analysis.

A Pietrobelli1, A Andreoli, V Cervelli, M G Carbonelli, D G Peroni, A De Lorenzo.   

Abstract

Body composition assessment is a useful procedure for the study of nutritional status and water distribution. In adults, it is a predictor of morbidity and mortality, since body fatness is associated with risk factors for cardiovascular disease. Bioelectric impedance analysis (BIA) is a simple, safe, and inexpensive method for assessment of body composition both in pediatric and adult subjects. The aim of our study was to validate the impedance index, ZI (H(2)/Z, height in cm(2)/impedance), as a predictor factor of fatfree mass (FFM) and fat mass (FM) in a sample ( n=75) of normal children. Dual-energy X-ray absorptiometry (DXA) was chosen as reference method. Despite some minor bias, DXAis considerably less expensive and easier to administer in pediatric subjects than other established gold standard reference methods for assessing body composition. ZI values were highly correlated with FFM measured with DXA. The following equations were obtained from the regression analysis: (a). male subjects, FFM(DXA)=0.6375 (ZI)+5.9913, r(2)=0.897, p<0.0001; (b). female subjects, FFM(DXA)=0.7597 (ZI)+ 3.5853, r(2)=0.903, p<0.0001. These data support the notion that BIA alone can be used as a surrogate to measure FFM in a pediatric sample.

Entities:  

Mesh:

Year:  2003        PMID: 14618476     DOI: 10.1007/s00592-003-0069-z

Source DB:  PubMed          Journal:  Acta Diabetol        ISSN: 0940-5429            Impact factor:   4.280


  17 in total

1.  Body composition obtained from the body mass index: an Italian study.

Authors:  Daniele Martarelli; Benedetta Martarelli; Pierluigi Pompei
Journal:  Eur J Nutr       Date:  2008-09-24       Impact factor: 5.614

Review 2.  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

3.  The Validity of Bioelectrical Impedance Analysis to Measure Body Composition in Phenylketonuria.

Authors:  Maureen Evans; Kay Nguo; Avihu Boneh; Helen Truby
Journal:  JIMD Rep       Date:  2017-11-24

4.  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

5.  Body composition of preterm infants measured during the first months of life: bioelectrical impedance provides insignificant additional information compared to anthropometry alone.

Authors:  Nguyen Quang Dung; Gerhard Fusch; Sven Armbrust; Frank Jochum; Christoph Fusch
Journal:  Eur J Pediatr       Date:  2006-09-19       Impact factor: 3.183

6.  Early anthropometric indices predict short stature and overweight status in a cohort of Peruvians in early adolescence.

Authors:  Robie Sterling; J Jaime Miranda; Robert H Gilman; Lilia Cabrera; Charles R Sterling; Caryn Bern; William Checkley
Journal:  Am J Phys Anthropol       Date:  2012-05-03       Impact factor: 2.868

7.  Clinical measures of adiposity and percentage fat loss: which measure most accurately reflects fat loss and what should we aim for?

Authors:  Linda P Hunt; Anna Ford; Matthew A Sabin; Elizabeth C Crowne; Julian P H Shield
Journal:  Arch Dis Child       Date:  2007-01-29       Impact factor: 3.791

8.  Body composition in adolescent idiopathic scoliosis.

Authors:  Manuel Ramírez; Juana Martínez-Llorens; Juan Francisco Sanchez; Joan Bagó; Antoni Molina; Joaquim Gea; Enric Cáceres
Journal:  Eur Spine J       Date:  2012-08-12       Impact factor: 3.134

9.  Higher body fat and lower fat-free mass in girls with premature adrenarche.

Authors:  Ayşe Nurcan Cebeci; Ayşegül Taş
Journal:  J Clin Res Pediatr Endocrinol       Date:  2015-03

10.  Validity of bioelectrical impedance measurement in predicting fat-free mass of Chinese children and adolescents.

Authors:  Lin Wang; Stanley Sai-chuen Hui; Stephen Heung-sang Wong
Journal:  Med Sci Monit       Date:  2014-11-15
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.