TY - JOUR AU - Woodward Mark AU - Anderson C. AU - Ding J. AU - Allison M. AU - Ouyang P. AU - Szklo M. AU - Golden S. AU - Mongraw-Chaffin M. AU - Schreiner P. AU - Young J. AB -

BACKGROUND: Few studies have investigated the relationship of anthropometric measurements with computed tomography (CT) body fat composition, and even fewer determined if these relationships differ by sex and race. METHODS: CT scans from 1,851 participants in the population based Multi-Ethnic Study of Atherosclerosis were assessed for visceral and subcutaneous fat areas by semi-automated segmentation of body compartments. Regression models were used to investigate relationships for anthropometry with visceral and subcutaneous fat separately by sex and race/ethnicity. RESULTS: Participants were 50% female, 41% Caucasian, 13% Asian, 21% African American, and 25% Hispanic. For visceral fat, the positive relationship with weight (p = 0.028), waist circumference (p<0.001), waist to hip ratio (p<0.001), and waist to height ratio (p = 0.05) differed by sex, with a steeper slope for men. That is, across the range of these anthropometric measures the rise in visceral fat is faster for men than for women. Additionally, there were differences by race/ethnicity in the relationship with height (p<0.001), weight (p<0.001), waist circumference (p<0.001), hip circumference (p = 0.006), and waist to hip ratio (p = 0.001) with the Hispanic group having shallower slopes. For subcutaneous fat, interaction by sex was found for all anthropometric indices at p<0.05, but not for race/ethnicity. CONCLUSION: The relationship between anthropometry and underlying adiposity differs by sex and race/ethnicity. When anthropometry is used as a proxy for visceral fat in research, sex-specific models should be used.

AD - Department of Family Medicine and Public Health, School of Medicine, University of California San Diego, La Jolla, CA, United States of America; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.
Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America; Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, United States of America.
Department of Family Medicine and Public Health, School of Medicine, University of California San Diego, La Jolla, CA, United States of America.
Geriatrics and Gerontology, Wake Forest School of Medicine, Winston-Salem, NC, United States of America.
Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, United States of America.
Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, United States of America.
Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.
Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America; The George Institute for Global Health, The University of Sydney, Sydney, Australia; The George Institute for Global Health, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom. AN - 26448048 BT - PLoS One DP - NLM ET - 2015/10/09 LA - eng LB - AUS
UK
NMH
PROF
FY16 M1 - 10 N1 - Mongraw-Chaffin, Morgana
Golden, Sherita Hill
Allison, Matthew A
Ding, Jingzhong
Ouyang, Pamela
Schreiner, Pamela J
Szklo, Moyses
Woodward, Mark
Young, Jeffery Hunter
Anderson, Cheryl A M
United States
PLoS One. 2015 Oct 8;10(10):e0139559. doi: 10.1371/journal.pone.0139559. eCollection 2015. N2 -

BACKGROUND: Few studies have investigated the relationship of anthropometric measurements with computed tomography (CT) body fat composition, and even fewer determined if these relationships differ by sex and race. METHODS: CT scans from 1,851 participants in the population based Multi-Ethnic Study of Atherosclerosis were assessed for visceral and subcutaneous fat areas by semi-automated segmentation of body compartments. Regression models were used to investigate relationships for anthropometry with visceral and subcutaneous fat separately by sex and race/ethnicity. RESULTS: Participants were 50% female, 41% Caucasian, 13% Asian, 21% African American, and 25% Hispanic. For visceral fat, the positive relationship with weight (p = 0.028), waist circumference (p<0.001), waist to hip ratio (p<0.001), and waist to height ratio (p = 0.05) differed by sex, with a steeper slope for men. That is, across the range of these anthropometric measures the rise in visceral fat is faster for men than for women. Additionally, there were differences by race/ethnicity in the relationship with height (p<0.001), weight (p<0.001), waist circumference (p<0.001), hip circumference (p = 0.006), and waist to hip ratio (p = 0.001) with the Hispanic group having shallower slopes. For subcutaneous fat, interaction by sex was found for all anthropometric indices at p<0.05, but not for race/ethnicity. CONCLUSION: The relationship between anthropometry and underlying adiposity differs by sex and race/ethnicity. When anthropometry is used as a proxy for visceral fat in research, sex-specific models should be used.

PY - 2015 SN - 1932-6203 (Electronic)
1932-6203 (Linking) EP - e0139559 T2 - PLoS One TI - The Sex and Race Specific Relationship between Anthropometry and Body Fat Composition Determined from Computed Tomography: Evidence from the Multi-Ethnic Study of Atherosclerosis VL - 10 Y2 - FY16 ER -