Waist circumference adjusted for body mass index and intra-abdominal fat mass.

<h4>Background</h4>The association between waist circumference (WC) and mortality is particularly strong and direct when adjusted for body mass index (BMI). One conceivable explanation for this association is that WC adjusted for BMI is a better predictor of the presumably most harmful i...

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Main Authors: Tina Landsvig Berentzen, Lars Ängquist, Anna Kotronen, Ronald Borra, Hannele Yki-Järvinen, Patricia Iozzo, Riitta Parkkola, Pirjo Nuutila, Robert Ross, David B Allison, Steven B Heymsfield, Kim Overvad, Thorkild I A Sørensen, Marianne Uhre Jakobsen
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2012-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22384179/pdf/?tool=EBI
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spelling doaj-5fcc11e265054ad0aadab2d3128efd732021-03-04T01:00:25ZengPublic Library of Science (PLoS)PLoS ONE1932-62032012-01-0172e3221310.1371/journal.pone.0032213Waist circumference adjusted for body mass index and intra-abdominal fat mass.Tina Landsvig BerentzenLars ÄngquistAnna KotronenRonald BorraHannele Yki-JärvinenPatricia IozzoRiitta ParkkolaPirjo NuutilaRobert RossDavid B AllisonSteven B HeymsfieldKim OvervadThorkild I A SørensenMarianne Uhre Jakobsen<h4>Background</h4>The association between waist circumference (WC) and mortality is particularly strong and direct when adjusted for body mass index (BMI). One conceivable explanation for this association is that WC adjusted for BMI is a better predictor of the presumably most harmful intra-abdominal fat mass (IAFM) than WC alone. We studied the prediction of abdominal subcutaneous fat mass (ASFM) and IAFM by WC alone and by addition of BMI as an explanatory factor.<h4>Methodology/principal findings</h4>WC, BMI and magnetic resonance imaging data from 742 men and women who participated in clinical studies in Canada and Finland were pooled. Total adjusted squared multiple correlation coefficients (R(2)) of ASFM and IAFM were calculated from multiple linear regression models with WC and BMI as explanatory variables. Mean BMI and WC of the participants in the pooled sample were 30 kg/m(2) and 102 cm, respectively. WC explained 29% of the variance in ASFM and 51% of the variance in IAFM. Addition of BMI to WC added 28% to the variance explained in ASFM, but only 1% to the variance explained in IAFM. Results in subgroups stratified by study center, sex, age, obesity level and type 2 diabetes status were not systematically different.<h4>Conclusion/significance</h4>The prediction of IAFM by WC is not improved by addition of BMI.https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22384179/pdf/?tool=EBI
collection DOAJ
language English
format Article
sources DOAJ
author Tina Landsvig Berentzen
Lars Ängquist
Anna Kotronen
Ronald Borra
Hannele Yki-Järvinen
Patricia Iozzo
Riitta Parkkola
Pirjo Nuutila
Robert Ross
David B Allison
Steven B Heymsfield
Kim Overvad
Thorkild I A Sørensen
Marianne Uhre Jakobsen
spellingShingle Tina Landsvig Berentzen
Lars Ängquist
Anna Kotronen
Ronald Borra
Hannele Yki-Järvinen
Patricia Iozzo
Riitta Parkkola
Pirjo Nuutila
Robert Ross
David B Allison
Steven B Heymsfield
Kim Overvad
Thorkild I A Sørensen
Marianne Uhre Jakobsen
Waist circumference adjusted for body mass index and intra-abdominal fat mass.
PLoS ONE
author_facet Tina Landsvig Berentzen
Lars Ängquist
Anna Kotronen
Ronald Borra
Hannele Yki-Järvinen
Patricia Iozzo
Riitta Parkkola
Pirjo Nuutila
Robert Ross
David B Allison
Steven B Heymsfield
Kim Overvad
Thorkild I A Sørensen
Marianne Uhre Jakobsen
author_sort Tina Landsvig Berentzen
title Waist circumference adjusted for body mass index and intra-abdominal fat mass.
title_short Waist circumference adjusted for body mass index and intra-abdominal fat mass.
title_full Waist circumference adjusted for body mass index and intra-abdominal fat mass.
title_fullStr Waist circumference adjusted for body mass index and intra-abdominal fat mass.
title_full_unstemmed Waist circumference adjusted for body mass index and intra-abdominal fat mass.
title_sort waist circumference adjusted for body mass index and intra-abdominal fat mass.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2012-01-01
description <h4>Background</h4>The association between waist circumference (WC) and mortality is particularly strong and direct when adjusted for body mass index (BMI). One conceivable explanation for this association is that WC adjusted for BMI is a better predictor of the presumably most harmful intra-abdominal fat mass (IAFM) than WC alone. We studied the prediction of abdominal subcutaneous fat mass (ASFM) and IAFM by WC alone and by addition of BMI as an explanatory factor.<h4>Methodology/principal findings</h4>WC, BMI and magnetic resonance imaging data from 742 men and women who participated in clinical studies in Canada and Finland were pooled. Total adjusted squared multiple correlation coefficients (R(2)) of ASFM and IAFM were calculated from multiple linear regression models with WC and BMI as explanatory variables. Mean BMI and WC of the participants in the pooled sample were 30 kg/m(2) and 102 cm, respectively. WC explained 29% of the variance in ASFM and 51% of the variance in IAFM. Addition of BMI to WC added 28% to the variance explained in ASFM, but only 1% to the variance explained in IAFM. Results in subgroups stratified by study center, sex, age, obesity level and type 2 diabetes status were not systematically different.<h4>Conclusion/significance</h4>The prediction of IAFM by WC is not improved by addition of BMI.
url https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22384179/pdf/?tool=EBI
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