Usability of classic and specific bioelectrical impedance vector analysis in measuring body composition of children Articles uri icon

authors

  • Stagi, Silvia
  • Silva, Analiza M.
  • Jesus, Filipe
  • Campa, Francesco
  • CABRAS, STEFANO
  • Earthman, Carrie P.
  • Marini, Elisabetta

publication date

  • March 2022

start page

  • 673

end page

  • 679

issue

  • 3

volume

  • 41

International Standard Serial Number (ISSN)

  • 0261-5614

Electronic International Standard Serial Number (EISSN)

  • 1532-1983

abstract

  • in this study, we aimed to analyse the relationship between body composition and bioelectrical variables in children and adolescents. The sample was composed of 6801 individuals (4035 males; 2766 females) aged 8¿20 years included in the National Health and Nutrition Examination Survey (NHANES) years 1999-2004. Classic and specific bioelectrical impedance vector analysis (BIVA) were applied and compared with dual-energy X-ray absorptiometry (DXA) for the evaluation of fat mass (FM) and fat-free mass (FFM), and bioimpedance spectroscopy (BIS) for the evaluation of intra-cellular water (ICW), extra-cellular water (ECW), and total body water (TBW). Fat-free mass index (FFMI) was calculated. Spearman's correlation, regression, and depth-depth analyses were applied. The evaluation of body composition with BIVA agreed well with that of DXA or BIS, independently of sex, age, and ethnicity: classic BIVA was mostly sensitive to differences in TBW, ECW/ICW, whereas specific BIVA to differences in %FM, FFMI, and ECW/ICW. The depth-depth analysis confirmed the associations of classic BIVA (coeff. 0.500, p less than 0.001), and specific BIVA (coeff. 0.512, p less than 0.001), also considering the significant effect of age (p less than 0.001). In classic BIVA the association was slightly stronger in females (by 0.03, p = 0.042) and among Blacks (0.06, p = 0.002), whereas in specific BIVA it was stronger by 0.06 (p less than 0.001) in females and similar among ethnic groups. The combined use of the two BIVA approaches represents a valuable tool for complete evaluation of body composition in growth studies, for the prevention and monitoring of malnutrition, and the monitoring of the performance in young athletes.

subjects

  • Medicine
  • Statistics

keywords

  • bioelectrical impedance vector analysis; bis; biva; body composition; children; dxa