Prediction of whole-body fat percentage and visceral adipose tissue mass from five anthropometric variables

Open Access

Peer-reviewed

Research Article

Michelle G. Swainson ,

* E-mail: m.swainson@leedsbeckett.ac.uk

Affiliation Institute of Sport, Physical Activity and Leisure, Leeds Beckett University, Headingley, Leeds, United Kingdom

http://orcid.org/0000-0002-5223-8710

⨯
Alan M. Batterham,

Affiliation Health and Social Care Institute, Teesside University, Middlesbrough, United Kingdom
⨯
Costas Tsakirides,

Affiliation Institute of Sport, Physical Activity and Leisure, Leeds Beckett University, Headingley, Leeds, United Kingdom
⨯
Zoe H. Rutherford,

Affiliation Institute of Sport, Physical Activity and Leisure, Leeds Beckett University, Headingley, Leeds, United Kingdom
⨯
Karen Hind

Affiliation Institute of Sport, Physical Activity and Leisure, Leeds Beckett University, Headingley, Leeds, United Kingdom
⨯

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Obesity
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Adipose tissue
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Body mass index
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Anthropometry
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Medical risk factors
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Body weight
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Computed axial tomography
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Computer software
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