健康人群3859例人体成分与动脉功能关系及其影响因素的研究

目的探讨健康人群人体成分与动脉功能指标之间的关系，研究年龄、性别等因素对于其关系的影响。方法通过健康体检的方法入选3859例研究对象，应用生物电阻抗技术测定人体成分组成情况，并测定桡动脉增强指数（AI）及脉搏波传导速度（PWV）作为评价动脉功能的指标。采用多因素相关分析的方法探讨人体成分的相关指标与AI之间的关系，并进一步引入年龄、性别等因素后进行直线回归分析。结果PwV水平与体质指数（BMI）（r=0．072，P〈0．01）及体脂肪率水平之间均具有良好的相关性（r=0．114，P〈0．01），但是BMI水平的变化并不能反应其变化（r=0．022，P〉0．05），人体成分分析中的体脂肪率等指标的水平变化则能够有效的反应AI水平的变化（r=0．263，P〈0．01）。女性BMI（r=0．219，P〈0．01）及体脂肪率（r=0．316，P〈0．01）与AI之间均具有良好的相关性，但在男性中这种相关性则消失（r=0．033，r=0．046，P〉0．05）。引入年龄因素后发现在50岁以下人群中，这种关系则要更为密切（卢=0．479，IB=0．321，P〈0．叭）。结论体脂肪率对于动脉功能变化的预测性要优于目前临床常用的BMI，可以通过对于人体成分变化的监测来追踪动脉功能的变化。年龄、性别会对两者之间的关系产生影响，对于50岁以下的女性患者两者之间的相关性最佳。

Relationship between body composition and arterial function and its impacting factors

Objective To explore the relationship between body composition and arterial function index,especially augmentation index （AI）, and make clear the impacts of gender and age on the relationship. Methods A total of 3859 health adults were enrolled in this study. Body composition was measured by bioelectrical impedance,and AI and pulse wave velocity （PWV） were viewed as indictors for arterial function. Correlation analysis and liner regression analysis were used for data comparison. Results Both body mass index （BMI） and body fat rate positively changed with PWV （r = 0. 114, both P 〈 0. 01 ）. However,BMI showed no relation to AI （r = O. 022, P 〉 0. 05 ）. Body fat rate was positively and independently associated with AI （ r = 0. 263 ,P 〈 0. 01 ）, which was gender-dependent （ female： r = 0. 219, P 〈 0. 01; male： r = 0. 033, P 〉 0. 05 ）. When age was concerned, above relationship was more stronger in participants ≤50 years （β= 0.479 vs β= 0.321,P〈 0.01）. Conclusion Body fat mass may be a predicting factor of changes in AI. Gender and age could affect the relationship between body fat and artery function.