Determinants of pulse wave velocity trajectories from youth to young adulthood: the Georgia Stress and Heart Study.
Determinants of pulse wave velocity trajectories from youth to young adulthood: the Georgia Stress and Heart Study.
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DOI：
10.1097/hjh.0000000000001933
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发表时间：
2019-03
影响因子：
4.9
通讯作者：
Wang X
中科院分区：
文献类型：
--
作者：
Liang X;Su S;Hao G;Snieder H;Treiber F;Kapuku G;Wang X
通过脉搏波速度（PWV）测量的动脉硬度增加已被证明是心血管风险的一个重要参数。将说明 PWV 从青年到成年早期的纵向发展及其可能的社会人口学、人体测量学、血流动力学和行为调节因素。为 559 名非裔美国人和欧洲裔美国男性和女性创建了颈动脉远端 PWV 随年龄变化的个体生长曲线，平均 7 年随访期间最多进行五次评估（参与者第一次评估时的平均年龄为 22.3 ± 3.4）。非裔美国人和男性的 PWV 分别显着高于欧洲裔美国人和女性 (Ps < 0.01)。观察到年龄、性别和种族之间的三向交互作用 (P < 0.001)，非裔美国男性的 PWV 随着年龄的增长而增加的比率高于其他三个种族和性别群体。在控制其他调节因素时，种族和性别对 PWV 的影响仍然存在。腰围是最强的人体测量预测指标，但其对 PWV 的影响仅在女性中显着。平均动脉压是最强的血流动力学预测因子，父母的婚姻状况是最强的社会经济预测因子，吸食大麻是 PWV 最强的行为预测因子。最拟合的完整模型总共解释了 59.4% 的 PWV 受试者间差异，其中种族、性别和年龄解释了 25.6%。我们观察到青少年 PWV 纵向轨迹存在显着的种族和性别差异。此外，PWV增长的个体差异很大程度上可以通过平均动脉压、腰围、父母的婚姻状况和大麻使用来解释。
Increased arterial stiffness measured by pulse wave velocity (PWV) has been shown to be an important parameter of cardiovascular risk. Longitudinal development of PWV from youth to early adulthood and its possible sociodemographic, anthropometric, hemodynamic and behavioral moderators will be illustrated. Individual growth curves of carotid–distal PWV across age were created for 559 African American and European American men and women with a maximum of five assessments over an average of 7-year follow-up (mean age at participants’ first assessment, 22.3 ± 3.4). African Americans and men had significantly higher PWV than did European Americans and women (Ps < 0.01), respectively. A three-way interaction (P < 0.001) between age, sex and ethnicity was observed with African American men displaying a larger rate of increase in PWV with age than the other three ethnic and sex groups. The ethnicity and sex effects on PWV persisted when controlling for other moderators. Waist circumference was the strongest anthropometric predictor but its effect on PWV was only significant in women. Mean arterial pressure was the strongest hemodynamic predictor, marital status of parents was the strongest socioeconomic predictor and marijuana use was the strongest behavioral predictor of PWV. The best-fitting full model explained in total 59.4% of the between-subject variance in PWV with ethnicity, sex and age explaining 25.6%. We observed significant ethnic and sex differences in longitudinal trajectories of PWV in youth and young adults. In addition, individual differences in PWV growth can largely be explained by mean arterial pressure, waist, marital status of parents and marijuana use.