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Does One Size Fit All? The Role of Body Mass Index and Waist Circumference in Systemic Inflammation in Midlife by Race and Gender

Overview
Journal Ethn Health
Publisher Informa Healthcare
Date 2016 Oct 25
PMID 27774807
Citations 16
Authors
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Abstract

Objective: This study investigates the associations of body mass index (BMI) and waist circumference (WC) with markers of systemic inflammation in midlife by race and gender.

Design: Data were obtained from the Survey of Midlife in the United States, a cross-sectional, observational study of Americans 35 years old or older (White men: N = 410; White women: N = 490; Black men: N = 58; Black women: N = 117). Inflammation was measured by concentrations of fibrinogen and C-reactive protein (CRP) in fasting plasma and concentrations of E-selectin and interleukin-6 (IL-6) in fasting serum. Anthropometric data were used to obtain BMI and WC. Socio-demographic and health-related factors were assessed with a survey. Multivariate models by race and gender were estimated to test the roles of BMI and WC for each inflammation marker.

Results: Compared to White men, Black women have higher BMI and higher levels of all four inflammation markers; White women have lower BMI, lower WC, and lower E-selectin and fibrinogen but higher CRP; and Black men have higher fibrinogen. After adjusting for socio-demographic and health-related covariates as well as perceived discrimination, WC is associated with all four markers of inflammation among White men and women; with three markers (fibrinogen, CRP, and IL-6) of inflammation among Black women; and with CRP (and marginally with fibrinogen and E-selectin) among Black men. BMI is associated with higher CRP and fibrinogen among Black men (marginally so for White men) but not for women of either race.

Conclusions: WC shows more consistent associations with inflammation markers than BMI, although the relationships vary by inflammation marker and population group. Our findings suggest that WC is a risk factor for systemic inflammation among White and Black men and women, and BMI is an additional risk factor for Black men.

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References
1.
Hajer G, van Haeften T, Visseren F . Adipose tissue dysfunction in obesity, diabetes, and vascular diseases. Eur Heart J. 2008; 29(24):2959-71. DOI: 10.1093/eurheartj/ehn387. View

2.
Berg A, Scherer P . Adipose tissue, inflammation, and cardiovascular disease. Circ Res. 2005; 96(9):939-49. DOI: 10.1161/01.RES.0000163635.62927.34. View

3.
Mezick E, Wing R, McCaffery J . Associations of self-reported and actigraphy-assessed sleep characteristics with body mass index and waist circumference in adults: moderation by gender. Sleep Med. 2013; 15(1):64-70. PMC: 3926516. DOI: 10.1016/j.sleep.2013.08.784. View

4.
Saltevo J, Kautiainen H, Vanhala M . Gender differences in adiponectin and low-grade inflammation among individuals with normal glucose tolerance, prediabetes, and type 2 diabetes. Gend Med. 2009; 6(3):463-70. DOI: 10.1016/j.genm.2009.09.006. View

5.
Ford E, Giles W, Myers G, Rifai N, Ridker P, Mannino D . C-reactive protein concentration distribution among US children and young adults: findings from the National Health and Nutrition Examination Survey, 1999-2000. Clin Chem. 2003; 49(8):1353-7. DOI: 10.1373/49.8.1353. View