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Concurrent agreement between an anthropometric model to predict thigh volume and dual-energy X-Ray absorptiometry assessment in female volleyball players aged 14-18 years

Identifieur interne : 002180 ( Main/Exploration ); précédent : 002179; suivant : 002181

Concurrent agreement between an anthropometric model to predict thigh volume and dual-energy X-Ray absorptiometry assessment in female volleyball players aged 14-18 years

Auteurs : Scar M. Tavares [Portugal] ; João Valente-Dos-Santos [Portugal] ; João P. Duarte [Portugal] ; Susana C. P Voas [Portugal] ; Luís A. Gobbo ; Rômulo A. Fernandes ; Daniel A. Marinho [Portugal] ; José M. Casanova [Portugal] ; Lauren B. Sherar [Royaume-Uni] ; Daniel Courteix [France] ; Manuel J. Coelho-E-Silva [Portugal]

Source :

RBID : PMC:5122194

Descripteurs français

English descriptors

Abstract

Background

A variety of performance outputs are strongly determined by lower limbs volume and composition in children and adolescents. The current study aimed to examine the validity of thigh volume (TV) estimated by anthropometry in late adolescent female volleyball players. Dual-energy X-ray absorptiometry (DXA) measures were used as the reference method.

Methods

Total and regional body composition was assessed with a Lunar DPX NT/Pro/MD+/Duo/Bravo scanner in a cross-sectional sample of 42 Portuguese female volleyball players aged 14–18 years (165.2 ± 0.9 cm; 61.1 ± 1.4 kg). TV was estimated with the reference method (TV-DXA) and with the anthropometric method (TV-ANTH). Agreement between procedures was assessed with Deming regression. The analysis also considered a calibration of the anthropometric approach.

Results

The equation that best predicted TV-DXA was: -0.899 + 0.876 × log10 (body mass) + 0.113 × log10 (TV-ANTH). This new model (NM) was validated using the predicted residual sum of squares (PRESS) method (R2PRESS = 0.838). Correlation between the reference method and the NM was 0.934 (95%CI: 0.880–0.964, Sy∙x = 0.325 L).

Conclusions

A new and accurate anthropometric method to estimate TV in adolescent female volleyball players was obtained from the equation of Jones and Pearson alongside with adjustments for body mass.

Electronic supplementary material

The online version of this article (doi:10.1186/s12887-016-0730-7) contains supplementary material, which is available to authorized users.


Url:
DOI: 10.1186/s12887-016-0730-7
PubMed: 27881116
PubMed Central: 5122194


Affiliations:


Links toward previous steps (curation, corpus...)


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<term>Absorptiometry, Photon</term>
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<term>Cross-Sectional Studies</term>
<term>Female</term>
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<term>Thigh (anatomy & histology)</term>
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<term>Absorptiométrie photonique</term>
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<term>Humains</term>
<term>Modèles théoriques</term>
<term>Portugal</term>
<term>Volleyball</term>
<term>Études transversales</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">
<sec>
<title>Background</title>
<p>A variety of performance outputs are strongly determined by lower limbs volume and composition in children and adolescents. The current study aimed to examine the validity of thigh volume (TV) estimated by anthropometry in late adolescent female volleyball players. Dual-energy X-ray absorptiometry (DXA) measures were used as the reference method.</p>
</sec>
<sec>
<title>Methods</title>
<p>Total and regional body composition was assessed with a Lunar DPX NT/Pro/MD+/Duo/Bravo scanner in a cross-sectional sample of 42 Portuguese female volleyball players aged 14–18 years (165.2 ± 0.9 cm; 61.1 ± 1.4 kg). TV was estimated with the reference method (TV-DXA) and with the anthropometric method (TV-ANTH). Agreement between procedures was assessed with Deming regression. The analysis also considered a calibration of the anthropometric approach.</p>
</sec>
<sec>
<title>Results</title>
<p>The equation that best predicted TV-DXA was: -0.899 + 0.876 × log
<sub>10</sub>
(body mass) + 0.113 × log
<sub>10</sub>
(TV-ANTH). This new model (NM) was validated using the predicted residual sum of squares (PRESS) method (R
<sup>2</sup>
<sub>PRESS</sub>
 = 0.838). Correlation between the reference method and the NM was 0.934 (95%CI: 0.880–0.964, S
<sub>y∙x</sub>
 = 0.325 L).</p>
</sec>
<sec>
<title>Conclusions</title>
<p>A new and accurate anthropometric method to estimate TV in adolescent female volleyball players was obtained from the equation of Jones and Pearson alongside with adjustments for body mass.</p>
</sec>
<sec>
<title>Electronic supplementary material</title>
<p>The online version of this article (doi:10.1186/s12887-016-0730-7) contains supplementary material, which is available to authorized users.</p>
</sec>
</div>
</front>
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<name sortKey="Vincent, Wj" uniqKey="Vincent W">WJ Vincent</name>
</author>
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<analytic>
<author>
<name sortKey="Malina, Rm" uniqKey="Malina R">RM Malina</name>
</author>
<author>
<name sortKey="Bar Or, O" uniqKey="Bar Or O">O Bar-Or</name>
</author>
<author>
<name sortKey="Bouchard, C" uniqKey="Bouchard C">C Bouchard</name>
</author>
</analytic>
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<country>
<li>France</li>
<li>Portugal</li>
<li>Royaume-Uni</li>
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<li>Auvergne (région administrative)</li>
<li>Auvergne-Rhône-Alpes</li>
</region>
<settlement>
<li>Clermont-Ferrand</li>
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</list>
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<name sortKey="Fernandes, Romulo A" sort="Fernandes, Romulo A" uniqKey="Fernandes R" first="Rômulo A." last="Fernandes">Rômulo A. Fernandes</name>
<name sortKey="Gobbo, Luis A" sort="Gobbo, Luis A" uniqKey="Gobbo L" first="Luís A." last="Gobbo">Luís A. Gobbo</name>
</noCountry>
<country name="Portugal">
<noRegion>
<name sortKey="Tavares, Scar M" sort="Tavares, Scar M" uniqKey="Tavares " first=" Scar M." last="Tavares"> Scar M. Tavares</name>
</noRegion>
<name sortKey="Casanova, Jose M" sort="Casanova, Jose M" uniqKey="Casanova J" first="José M." last="Casanova">José M. Casanova</name>
<name sortKey="Coelho E Silva, Manuel J" sort="Coelho E Silva, Manuel J" uniqKey="Coelho E Silva M" first="Manuel J." last="Coelho-E-Silva">Manuel J. Coelho-E-Silva</name>
<name sortKey="Duarte, Joao P" sort="Duarte, Joao P" uniqKey="Duarte J" first="João P." last="Duarte">João P. Duarte</name>
<name sortKey="Marinho, Daniel A" sort="Marinho, Daniel A" uniqKey="Marinho D" first="Daniel A." last="Marinho">Daniel A. Marinho</name>
<name sortKey="P Voas, Susana C" sort="P Voas, Susana C" uniqKey="P Voas S" first="Susana C." last="P Voas">Susana C. P Voas</name>
<name sortKey="Tavares, Scar M" sort="Tavares, Scar M" uniqKey="Tavares " first=" Scar M." last="Tavares"> Scar M. Tavares</name>
<name sortKey="Valente Dos Santos, Joao" sort="Valente Dos Santos, Joao" uniqKey="Valente Dos Santos J" first="João" last="Valente-Dos-Santos">João Valente-Dos-Santos</name>
<name sortKey="Valente Dos Santos, Joao" sort="Valente Dos Santos, Joao" uniqKey="Valente Dos Santos J" first="João" last="Valente-Dos-Santos">João Valente-Dos-Santos</name>
<name sortKey="Valente Dos Santos, Joao" sort="Valente Dos Santos, Joao" uniqKey="Valente Dos Santos J" first="João" last="Valente-Dos-Santos">João Valente-Dos-Santos</name>
</country>
<country name="Royaume-Uni">
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<name sortKey="Sherar, Lauren B" sort="Sherar, Lauren B" uniqKey="Sherar L" first="Lauren B." last="Sherar">Lauren B. Sherar</name>
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</country>
<country name="France">
<region name="Auvergne-Rhône-Alpes">
<name sortKey="Courteix, Daniel" sort="Courteix, Daniel" uniqKey="Courteix D" first="Daniel" last="Courteix">Daniel Courteix</name>
</region>
<name sortKey="Courteix, Daniel" sort="Courteix, Daniel" uniqKey="Courteix D" first="Daniel" last="Courteix">Daniel Courteix</name>
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