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Waist Circumference Adjusted for Body Mass Index and Intra-Abdominal Fat Mass

BACKGROUND: 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...

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Autores principales: Berentzen, Tina Landsvig, Ängquist, Lars, Kotronen, Anna, Borra, Ronald, Yki-Järvinen, Hannele, Iozzo, Patricia, Parkkola, Riitta, Nuutila, Pirjo, Ross, Robert, Allison, David B., Heymsfield, Steven B., Overvad, Kim, Sørensen, Thorkild I. A., Jakobsen, Marianne Uhre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3286444/
https://www.ncbi.nlm.nih.gov/pubmed/22384179
http://dx.doi.org/10.1371/journal.pone.0032213
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author Berentzen, Tina Landsvig
Ängquist, Lars
Kotronen, Anna
Borra, Ronald
Yki-Järvinen, Hannele
Iozzo, Patricia
Parkkola, Riitta
Nuutila, Pirjo
Ross, Robert
Allison, David B.
Heymsfield, Steven B.
Overvad, Kim
Sørensen, Thorkild I. A.
Jakobsen, Marianne Uhre
author_facet Berentzen, Tina Landsvig
Ängquist, Lars
Kotronen, Anna
Borra, Ronald
Yki-Järvinen, Hannele
Iozzo, Patricia
Parkkola, Riitta
Nuutila, Pirjo
Ross, Robert
Allison, David B.
Heymsfield, Steven B.
Overvad, Kim
Sørensen, Thorkild I. A.
Jakobsen, Marianne Uhre
author_sort Berentzen, Tina Landsvig
collection PubMed
description BACKGROUND: 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. METHODOLOGY/PRINCIPAL FINDINGS: 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. CONCLUSION/SIGNIFICANCE: The prediction of IAFM by WC is not improved by addition of BMI.
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spelling pubmed-32864442012-03-01 Waist Circumference Adjusted for Body Mass Index and Intra-Abdominal Fat Mass Berentzen, Tina Landsvig Ängquist, Lars Kotronen, Anna Borra, Ronald Yki-Järvinen, Hannele Iozzo, Patricia Parkkola, Riitta Nuutila, Pirjo Ross, Robert Allison, David B. Heymsfield, Steven B. Overvad, Kim Sørensen, Thorkild I. A. Jakobsen, Marianne Uhre PLoS One Research Article BACKGROUND: 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. METHODOLOGY/PRINCIPAL FINDINGS: 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. CONCLUSION/SIGNIFICANCE: The prediction of IAFM by WC is not improved by addition of BMI. Public Library of Science 2012-02-24 /pmc/articles/PMC3286444/ /pubmed/22384179 http://dx.doi.org/10.1371/journal.pone.0032213 Text en Berentzen et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Berentzen, Tina Landsvig
Ängquist, Lars
Kotronen, Anna
Borra, Ronald
Yki-Järvinen, Hannele
Iozzo, Patricia
Parkkola, Riitta
Nuutila, Pirjo
Ross, Robert
Allison, David B.
Heymsfield, Steven B.
Overvad, Kim
Sørensen, Thorkild I. A.
Jakobsen, Marianne Uhre
Waist Circumference Adjusted for Body Mass Index and Intra-Abdominal Fat Mass
title 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_short 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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3286444/
https://www.ncbi.nlm.nih.gov/pubmed/22384179
http://dx.doi.org/10.1371/journal.pone.0032213
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