Prediction of segmental lean mass using anthropometric variables in young adults.
about
Use of anthropometry for the prediction of regional body tissue distribution in adults: benefits and limitations in clinical practice.Predictive equations for estimating regional body composition: a validation study using DXA as criterion and associations with cardiometabolic risk factors.Accuracy and concordance of anthropometry for measuring regional fat distribution in adults aged 20-55 years.Upper and lower limbs composition: a comparison between anthropometry and dual-energy X-ray absorptiometry in healthy people.A retrospective comparison of physical health in regular recreational table tennis participants and sedentary elderly men.Impact-Induced Muscle Damage: Performance Implications in Response to a Novel Collision Simulator and Associated Timeline of Recovery
P2860
Prediction of segmental lean mass using anthropometric variables in young adults.
description
2012 nî lūn-bûn
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2012年の論文
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2012年学术文章
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2012年学术文章
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2012年学术文章
@zh-cn
2012年学术文章
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2012年学术文章
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2012年学术文章
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2012年學術文章
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2012年學術文章
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name
Prediction of segmental lean mass using anthropometric variables in young adults.
@en
Prediction of segmental lean mass using anthropometric variables in young adults.
@nl
type
label
Prediction of segmental lean mass using anthropometric variables in young adults.
@en
Prediction of segmental lean mass using anthropometric variables in young adults.
@nl
prefLabel
Prediction of segmental lean mass using anthropometric variables in young adults.
@en
Prediction of segmental lean mass using anthropometric variables in young adults.
@nl
P2093
P2860
P1476
Prediction of segmental lean mass using anthropometric variables in young adults.
@en
P2093
Aldo Scafoglieri
Jan Pieter Clarys
Jonathan Tresignie
Mike Marfell-Jones
Steven Provyn
Thomas Reilly
P2860
P304
P356
10.1080/02640414.2012.670716
P577
2012-03-27T00:00:00Z