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Association of body surface area and body composition with heart structural characteristics of female swimmers

In healthy nonathletic populations, some left ventricle (LV) parameters such as LV mass (LVM) and LV end diastolic dimension (LVEDD) can be predicted by some of body size parameters such as body surface area (BSA), fat-free mass (FFM), and height (H). These body size parameters use to remove covaria...

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Autores principales: SHEIKHSARAF, BAHAREH, ALLAH, NIKBAKHT HOJAT, ALI, AZARBAYJANI MOHAMMAD
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Berkeley Electronic Press 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4738895/
https://www.ncbi.nlm.nih.gov/pubmed/27182334
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author SHEIKHSARAF, BAHAREH
ALLAH, NIKBAKHT HOJAT
ALI, AZARBAYJANI MOHAMMAD
author_facet SHEIKHSARAF, BAHAREH
ALLAH, NIKBAKHT HOJAT
ALI, AZARBAYJANI MOHAMMAD
author_sort SHEIKHSARAF, BAHAREH
collection PubMed
description In healthy nonathletic populations, some left ventricle (LV) parameters such as LV mass (LVM) and LV end diastolic dimension (LVEDD) can be predicted by some of body size parameters such as body surface area (BSA), fat-free mass (FFM), and height (H). These body size parameters use to remove covariate influence of body size from cardiac dimension variables and allow comparisons to be made between individuals and groups of different body size. Endurance exercise has been associated with changes in LV size and body composition of athletes. The aim of this study was to evaluate in 30 trained female swimmers (12–17 y) possible correlations between BSA, FFM, fat mass (FM) determined by bioelectrical impedance analyzer(BIA); and a range of cardiac dimensions derived by echocardiography. Univariate correlations were studied between left ventricular and body size variables. Stepwise multiple linear regression was performed to determine the best determinants of LV variables. LVM and LVEDD had a significant relation with FFM (P<0.001) and BSA (p<0.05). Left ventricle posterior wall thickness (PWT) had a significant relation with BSA (p<0.001) and FFM (p<0.005). No relation was found between heart’s structural variable (LVM, LVEDD, LVESD and PWT) and FM. Using a multivariate regression analysis, FFM was the only independent predictor of both LVM (R(2)=0.541, P<0.001) and LVEDD (R(2)=0.189, P<0.05). These results suggest that Correction of LVM and LVEDD by FFM in athletes may be more appropriate than other measures of body size for indexing absolute amounts of LV dimension. Yet further researches in other athletes are required to confirm these findings.
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spelling pubmed-47388952016-05-12 Association of body surface area and body composition with heart structural characteristics of female swimmers SHEIKHSARAF, BAHAREH ALLAH, NIKBAKHT HOJAT ALI, AZARBAYJANI MOHAMMAD Int J Exerc Sci Original Research In healthy nonathletic populations, some left ventricle (LV) parameters such as LV mass (LVM) and LV end diastolic dimension (LVEDD) can be predicted by some of body size parameters such as body surface area (BSA), fat-free mass (FFM), and height (H). These body size parameters use to remove covariate influence of body size from cardiac dimension variables and allow comparisons to be made between individuals and groups of different body size. Endurance exercise has been associated with changes in LV size and body composition of athletes. The aim of this study was to evaluate in 30 trained female swimmers (12–17 y) possible correlations between BSA, FFM, fat mass (FM) determined by bioelectrical impedance analyzer(BIA); and a range of cardiac dimensions derived by echocardiography. Univariate correlations were studied between left ventricular and body size variables. Stepwise multiple linear regression was performed to determine the best determinants of LV variables. LVM and LVEDD had a significant relation with FFM (P<0.001) and BSA (p<0.05). Left ventricle posterior wall thickness (PWT) had a significant relation with BSA (p<0.001) and FFM (p<0.005). No relation was found between heart’s structural variable (LVM, LVEDD, LVESD and PWT) and FM. Using a multivariate regression analysis, FFM was the only independent predictor of both LVM (R(2)=0.541, P<0.001) and LVEDD (R(2)=0.189, P<0.05). These results suggest that Correction of LVM and LVEDD by FFM in athletes may be more appropriate than other measures of body size for indexing absolute amounts of LV dimension. Yet further researches in other athletes are required to confirm these findings. Berkeley Electronic Press 2010-07-15 /pmc/articles/PMC4738895/ /pubmed/27182334 Text en
spellingShingle Original Research
SHEIKHSARAF, BAHAREH
ALLAH, NIKBAKHT HOJAT
ALI, AZARBAYJANI MOHAMMAD
Association of body surface area and body composition with heart structural characteristics of female swimmers
title Association of body surface area and body composition with heart structural characteristics of female swimmers
title_full Association of body surface area and body composition with heart structural characteristics of female swimmers
title_fullStr Association of body surface area and body composition with heart structural characteristics of female swimmers
title_full_unstemmed Association of body surface area and body composition with heart structural characteristics of female swimmers
title_short Association of body surface area and body composition with heart structural characteristics of female swimmers
title_sort association of body surface area and body composition with heart structural characteristics of female swimmers
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4738895/
https://www.ncbi.nlm.nih.gov/pubmed/27182334
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