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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...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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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. |
format | Online Article Text |
id | pubmed-3286444 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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