2018
DOI: 10.1016/j.clnu.2017.02.017
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Biochemical and anthropometric correlates of bio-electrical impedance parameters in severely malnourished children: A cross-sectional study

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Cited by 18 publications
(26 citation statements)
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“…Vector analysis splits impedance into two height-adjusted components, resistance and reactance, which are further linked through phase angle (PA). Variability in these components is associated with biochemical parameters 64. These variables will be explored using graphical analysis or transformed into age-adjusted and sex-adjusted Z-scores for statistical comparison, including longitudinal analyses.…”
Section: Discussionmentioning
confidence: 99%
“…Vector analysis splits impedance into two height-adjusted components, resistance and reactance, which are further linked through phase angle (PA). Variability in these components is associated with biochemical parameters 64. These variables will be explored using graphical analysis or transformed into age-adjusted and sex-adjusted Z-scores for statistical comparison, including longitudinal analyses.…”
Section: Discussionmentioning
confidence: 99%
“…Further studies on MUAC-UALG that evaluate the link with mortality are needed. Studies investigating wasting diagnostic methods could consider the MUAC-UALG as a diagnosis mean for comparison in the future (21) . Except for the MUAC-HZ for which ENA software did not provide values for 79 children, each indicator’s accuracy was calculated in the same population.…”
Section: Discussionmentioning
confidence: 99%
“…In addition to estimating body composition or hydration status, components of BIVA have been proposed to be useful prognostic markers in two high-resource studies examining children with renal disease or undergoing hematopoietic stem cell transplantation [30,31]. Also, Girma et al showed that Xc/H correlated with serum calcium and chloride in malnourished children while R/ H correlated with albumin [32]. Although the study was crosssectional with a small sample size, results suggested that R/H could be used to monitor nutritional recovery.…”
Section: Introductionmentioning
confidence: 99%