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

Tina Landsvig Berentzen; Lars Angquist; Anna Kotronen; Ronald Borra; Hannele Yki-Jarvinen; Patricia Iozzo; Riitta Parkkola; Pirjo Nuutila; Robert Ross; David B. Allison; Steven B. Heymsfield; Kim Overvad; Thorkild I. A. Sorensen; Marianne Uhre Jakobsen

doi:10.1371/journal.pone.0032213

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

Tina Landsvig Berentzen^*, Lars Angquist, Anna Kotronen, Ronald Borra, Hannele Yki-Jarvinen, Patricia Iozzo, Riitta Parkkola, Pirjo Nuutila, Robert Ross, David B. Allison, Steven B. Heymsfield, Kim Overvad, Thorkild I. A. Sorensen, Marianne Uhre Jakobsen

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

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Abstract

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.

Original language	English
Article number	32213
Number of pages	6
Journal	PLoS ONE
Volume	7
Issue number	2
DOIs	https://doi.org/10.1371/journal.pone.0032213
Publication status	Published - 24-Feb-2012

Keywords

RANDOMIZED CONTROLLED-TRIAL
ALL-CAUSE MORTALITY
INSULIN-RESISTANCE
ADIPOSE-TISSUE
GLUCOSE-UPTAKE
LIVER FAT
WEIGHT-LOSS
OBESITY
EXERCISE
WOMEN

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Berentzen, T. L., Angquist, L., Kotronen, A., Borra, R., Yki-Jarvinen, H., Iozzo, P., Parkkola, R., Nuutila, P., Ross, R., Allison, D. B., Heymsfield, S. B., Overvad, K., Sorensen, T. I. A., & Jakobsen, M. U. (2012). Waist Circumference Adjusted for Body Mass Index and Intra-Abdominal Fat Mass. PLoS ONE, 7(2), Article 32213. https://doi.org/10.1371/journal.pone.0032213

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abstract = "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.",

keywords = "RANDOMIZED CONTROLLED-TRIAL, ALL-CAUSE MORTALITY, INSULIN-RESISTANCE, ADIPOSE-TISSUE, GLUCOSE-UPTAKE, LIVER FAT, WEIGHT-LOSS, OBESITY, EXERCISE, WOMEN",

author = "Berentzen, {Tina Landsvig} and Lars Angquist and Anna Kotronen and Ronald Borra and Hannele Yki-Jarvinen and Patricia Iozzo and Riitta Parkkola and Pirjo Nuutila and Robert Ross and Allison, {David B.} and Heymsfield, {Steven B.} and Kim Overvad and Sorensen, {Thorkild I. A.} and Jakobsen, {Marianne Uhre}",

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AU - Berentzen, Tina Landsvig

AU - Angquist, Lars

AU - Kotronen, Anna

AU - Borra, Ronald

AU - Yki-Jarvinen, Hannele

AU - Iozzo, Patricia

AU - Parkkola, Riitta

AU - Nuutila, Pirjo

AU - Ross, Robert

AU - Allison, David B.

AU - Heymsfield, Steven B.

AU - Overvad, Kim

AU - Sorensen, Thorkild I. A.

AU - Jakobsen, Marianne Uhre

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Y1 - 2012/2/24

N2 - 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.

AB - 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.

KW - RANDOMIZED CONTROLLED-TRIAL

KW - ALL-CAUSE MORTALITY

KW - INSULIN-RESISTANCE

KW - ADIPOSE-TISSUE

KW - GLUCOSE-UPTAKE

KW - LIVER FAT

KW - WEIGHT-LOSS

KW - OBESITY

KW - EXERCISE

KW - WOMEN

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DO - 10.1371/journal.pone.0032213

M3 - Article

SN - 1932-6203

VL - 7

JO - PLoS ONE

JF - PLoS ONE

IS - 2

M1 - 32213

ER -

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

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