School of Medicine, University of São Paulo (USP), São Paulo, SP, Brazil.
Center for Clinical and Epidemiological Research, University Hospital, University of São Paulo (USP), São Paulo, SP, Brazil.
Nutr Metab Cardiovasc Dis. 2020 Oct 30;30(11):1989-1998. doi: 10.1016/j.numecd.2020.05.025. Epub 2020 Jun 4.
To compare the performance of waist-to-height ratio (WHtR), waist-to-hip ratio (WHR), waist circumference (WC) and Body-mass index (BMI) with subclinical atherosclerosis.
The association of quintiles of anthropometric variables (1st as reference) - Odds ratio (OR); 95% Confidence Interval (95% CI) - with Coronary Artery Calcium (CAC: 0 vs. >0; <100 vs. ≥100), Carotid Intima-Media Thickness (CIMT: <75th vs. ≥P75%) and as continuous variables in linear regression models in 4216 participants of ELSA-Brasil baseline. WHtR was associated with CAC >0 (OR, 1.84; 95% CI, 1.16-2.93) and ≥100 after multivariate adjustment including BMI. WHR was associated with CAC >0 OR, 1.81 (95% CI, 1.25-2.82) and ≥100. BMI was not associated with CAC after further adjustment for WHtR, but was associated with CAC >0 after adjustment for WHR (OR, 1.42; 95% CI, 1.02-1.94) or WC (1.63; 95% CI, 1.03-2.59). WHtR was not associated with CIMT after further adjustment for BMI. WHR was associated with CIMT ≥P75% (OR, 1.44; 95% CI, 1.02-2.02) and in linear models (p < 0.0001). WC was associated with CIMT in linear models (p < 0.0001). BMI was associated to CIMT ≥P75% (OR, 2.25; 95% CI, 1.53-2.54); and in linear models (P < 0.0001) after further adjustment for WHtR. After adjustment for WHR and WC the association of BMI with CIMT ≥P75% was respectively (OR 2.31; 95% CI, 1.70-3.13; and OR 2.39; 95% CI, 1.55-3.70); and in both linear models (p < 0.0001).
WHtR was a good biomarker for subclinical atherosclerosis measured by CAC while BMI was a good biomarker for CIMT. WHR presented the best performance being associated with both biomarkers of subclinical atherosclerosis.
本研究旨在比较腰臀比(WHtR)、腰臀比(WHR)、腰围(WC)和体重指数(BMI)与亚临床动脉粥样硬化的相关性。
在 ELSA-Brasil 基线的 4216 名参与者中,使用冠状动脉钙(CAC:0 与>0;<100 与≥100)、颈动脉内膜中层厚度(CIMT:<75 与≥P75%)和线性回归模型中连续变量的五分位数(第 1 位为参考),比较了人体测量学变量(1 位为参考)的五分位数(OR;95%置信区间[95%CI])与 CAC>0(OR,1.84;95%CI,1.16-2.93)和≥100的相关性。WHR 与 CAC>0(OR,1.81;95%CI,1.25-2.82)和≥100 呈正相关,在包括 BMI 在内的多变量调整后。BMI 与 CAC 无相关性,在 WHtR 进一步调整后,BMI 与 CAC>0(OR,1.42;95%CI,1.02-1.94)或 WC(1.63;95%CI,1.03-2.59)与 CAC>0相关。WHtR 与 BMI 进一步调整后与 CIMT 无相关性。WHR 与 CIMT≥P75%(OR,1.44;95%CI,1.02-2.02)和线性模型(p<0.0001)相关。WC 与 CIMT 呈线性相关(p<0.0001)。BMI 与 CIMT≥P75%(OR,2.25;95%CI,1.53-2.54)和线性模型(P<0.0001)呈正相关,在 WHtR 进一步调整后。在调整了 WHR 和 WC 后,BMI 与 CIMT≥P75%的相关性分别为(OR 2.31;95%CI,1.70-3.13;OR 2.39;95%CI,1.55-3.70)和线性模型(p<0.0001)。
WHtR 是 CAC 测量的亚临床动脉粥样硬化的良好生物标志物,而 BMI 是 CIMT 的良好生物标志物。WHR 表现出最好的性能,与亚临床动脉粥样硬化的两个生物标志物都相关。