London School of Hygiene & Tropical Medicine, Department of Non-communicable Disease Epidemiology, Faculty of Epidemiology and Population Health, UK.
UiT the Arctic University of Norway, Department of Clinical Medicine, Department of Neurology, University Hospital of North Norway, Norway.
Atherosclerosis. 2018 Jun;273:15-20. doi: 10.1016/j.atherosclerosis.2018.04.014. Epub 2018 Apr 12.
Few studies have investigated the association of different measures of adiposity with carotid plaque. We aimed to investigate and compare the associations of four measures of adiposity: body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR) with the presence of carotid plaque and total plaque area (TPA) in the right carotid artery.
We included 4906 individuals aged 31-88 years who participated in a population-based study with ultrasonography of the right carotid artery. Adiposity measures were converted to sex-specific SD units to allow comparison of effect sizes. TPA was log transformed due to its skewed distribution. Logistic and linear regression models were used respectively to investigate the association of each adiposity measure with the presence of plaque and with log-transformed TPA. Estimates were adjusted for potential confounders and mediators such as blood pressure and lipids.
After adjustment for age, sex, smoking, and education level, there was strong evidence of an association between all adiposity measures and log-transformed TPA, whereas only WHR was weakly associated with presence of plaque. WHR showed the largest adjusted effect size for both log-transformed TPA (beta 0.055, 95%CI 0.028-0.081) and the presence of plaque (OR 1.07, 95%CI 1.01-1.15). Adjustment for mediators led to appreciable attenuation of observed effects.
Adiposity is more consistently associated with extent of plaque burden than with whether an individual does or does not have any plaque. There was evidence that established biomarkers mediate much of this association. Abdominal adiposity appears to show the strongest effect.
很少有研究调查不同肥胖指标与颈动脉斑块之间的关系。我们旨在研究和比较四种肥胖指标(体重指数 [BMI]、腰围 [WC]、腰臀比 [WHR] 和腰围身高比 [WHtR])与右侧颈动脉斑块存在和总斑块面积(TPA)的关系。
我们纳入了 4906 名年龄在 31-88 岁之间的个体,他们参加了一项基于人群的右侧颈动脉超声研究。为了便于比较效应大小,将肥胖指标转换为性别特异性 SD 单位。由于 TPA 呈偏态分布,对其进行了对数转换。分别使用逻辑回归和线性回归模型研究每种肥胖指标与斑块存在和对数转换 TPA 的关系。估计值经过潜在混杂因素和中介因素(如血压和脂质)的调整。
在校正年龄、性别、吸烟和教育水平后,所有肥胖指标与对数转换 TPA 之间存在强烈的关联证据,而只有 WHR 与斑块存在呈弱关联。WHR 对对数转换 TPA(β 0.055,95%CI 0.028-0.081)和斑块存在(OR 1.07,95%CI 1.01-1.15)的调整效应大小最大。对中介因素进行调整导致观察到的效应明显减弱。
肥胖与斑块负担的严重程度比个体是否存在任何斑块更为一致相关。有证据表明,已建立的生物标志物在很大程度上介导了这种关联。腹部肥胖似乎显示出最强的影响。