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The Importance of Hydration in Body Composition Assessment in Children Aged 6-16 Years

Body composition is associated with many noncommunicable diseases. The accuracy of many simple techniques used for the assessment of body composition is influenced by the fact that they do not take into account tissue hydration and this can be particularly problematic in paediatric populations. The...

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Autores principales: Watson, Laura P.E., Carr, Katherine S., Orford, Elise R., Venables, Michelle C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Humana Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8354559/
https://www.ncbi.nlm.nih.gov/pubmed/33454177
http://dx.doi.org/10.1016/j.jocd.2020.12.004
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author Watson, Laura P.E.
Carr, Katherine S.
Orford, Elise R.
Venables, Michelle C.
author_facet Watson, Laura P.E.
Carr, Katherine S.
Orford, Elise R.
Venables, Michelle C.
author_sort Watson, Laura P.E.
collection PubMed
description Body composition is associated with many noncommunicable diseases. The accuracy of many simple techniques used for the assessment of body composition is influenced by the fact that they do not take into account tissue hydration and this can be particularly problematic in paediatric populations. The aims of this study were: (1) to assess the agreement of two dual energy X-ray absorptiometry (DXA) systems for determining total and regional (arms, legs, trunk) fat, lean, and bone mass and (2) to compare lean soft tissue (LST) hydration correction methods in children. One hundred and twenty four healthy children aged between 6 and 16 years old underwent DXA scans using 2 GE healthcare Lunar systems (iDXA and Prodigy). Tissue hydration was either calculated by dividing total body water (TBW), by 4-component model derived fat free mass (HFFM(TBW)) or by using the age and sex specific coefficients of Lohman, 1986 (HFFM(Lohman)) and used to correct LST. Regression analysis was performed to develop cross-calibration equations between DXA systems and a paired samples t-test was conducted to assess the difference between LST hydration correction methods. iDXA resulted in significantly lower estimates of total and regional fat and lean mass, compared to Prodigy. HFFM(TBW) showed a much larger age/sex related variability than HFFM(Lohman). A 2.0 % difference in LST was observed in the boys (34.5 kg vs 33.8 kg respectively, p < 0.05) and a 2.5% difference in the girls (28.2 kg vs 27.5 kg respectively, p < 0.05) when corrected using either HFFM(TBW) or HFFM(Lohman.) Care needs to be exercised when combining data from iDXA and Prodigy, as total and regional estimates of body composition can differ significantly. Furthermore, tissue hydration should be taken into account when assessing body composition as it can vary considerably within a healthy paediatric population even within specific age and/or sex groups.
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spelling pubmed-83545592021-08-15 The Importance of Hydration in Body Composition Assessment in Children Aged 6-16 Years Watson, Laura P.E. Carr, Katherine S. Orford, Elise R. Venables, Michelle C. J Clin Densitom Original Article Body composition is associated with many noncommunicable diseases. The accuracy of many simple techniques used for the assessment of body composition is influenced by the fact that they do not take into account tissue hydration and this can be particularly problematic in paediatric populations. The aims of this study were: (1) to assess the agreement of two dual energy X-ray absorptiometry (DXA) systems for determining total and regional (arms, legs, trunk) fat, lean, and bone mass and (2) to compare lean soft tissue (LST) hydration correction methods in children. One hundred and twenty four healthy children aged between 6 and 16 years old underwent DXA scans using 2 GE healthcare Lunar systems (iDXA and Prodigy). Tissue hydration was either calculated by dividing total body water (TBW), by 4-component model derived fat free mass (HFFM(TBW)) or by using the age and sex specific coefficients of Lohman, 1986 (HFFM(Lohman)) and used to correct LST. Regression analysis was performed to develop cross-calibration equations between DXA systems and a paired samples t-test was conducted to assess the difference between LST hydration correction methods. iDXA resulted in significantly lower estimates of total and regional fat and lean mass, compared to Prodigy. HFFM(TBW) showed a much larger age/sex related variability than HFFM(Lohman). A 2.0 % difference in LST was observed in the boys (34.5 kg vs 33.8 kg respectively, p < 0.05) and a 2.5% difference in the girls (28.2 kg vs 27.5 kg respectively, p < 0.05) when corrected using either HFFM(TBW) or HFFM(Lohman.) Care needs to be exercised when combining data from iDXA and Prodigy, as total and regional estimates of body composition can differ significantly. Furthermore, tissue hydration should be taken into account when assessing body composition as it can vary considerably within a healthy paediatric population even within specific age and/or sex groups. Humana Press 2021 /pmc/articles/PMC8354559/ /pubmed/33454177 http://dx.doi.org/10.1016/j.jocd.2020.12.004 Text en © 2021 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Original Article
Watson, Laura P.E.
Carr, Katherine S.
Orford, Elise R.
Venables, Michelle C.
The Importance of Hydration in Body Composition Assessment in Children Aged 6-16 Years
title The Importance of Hydration in Body Composition Assessment in Children Aged 6-16 Years
title_full The Importance of Hydration in Body Composition Assessment in Children Aged 6-16 Years
title_fullStr The Importance of Hydration in Body Composition Assessment in Children Aged 6-16 Years
title_full_unstemmed The Importance of Hydration in Body Composition Assessment in Children Aged 6-16 Years
title_short The Importance of Hydration in Body Composition Assessment in Children Aged 6-16 Years
title_sort importance of hydration in body composition assessment in children aged 6-16 years
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8354559/
https://www.ncbi.nlm.nih.gov/pubmed/33454177
http://dx.doi.org/10.1016/j.jocd.2020.12.004
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