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9 至 89 岁健康受试者大动脉和小动脉弹性的预测因素。

Predictors of large and small artery elasticity in healthy subjects from 9 to 89 years old.

机构信息

CMRI Diabetes and Metabolic Research Program, Harold Hamm Oklahoma Diabetes Center, University of Oklahoma Health Sciences Center, Oklahoma City, USA.

出版信息

Am J Hypertens. 2011 May;24(5):599-605. doi: 10.1038/ajh.2011.5. Epub 2011 Feb 3.

Abstract

BACKGROUND

We identified demographic variables, cardiovascular risk factors, and ambulatory activity measures that predict large and small artery elasticity in apparently healthy subjects between 9 and 89 years of age.

METHODS

A total of 480 subjects were assessed on large artery elasticity index (LAEI), small artery elasticity index (SAEI), demographic measures, cardiovascular risk factors, and daily ambulation during 7 consecutive days. All possible regression and Mallow's C(p) were used to select multivariate models for prediction of LAEI and SAEI.

RESULTS

In subjects 20 years of age and younger, LAEI model (R(2) = 0.25, P < 0.001) included age, average ambulatory cadence, and obesity. SAEI model (R(2) = 0.39, P < 0.001) contained body mass index (BMI), maximum daily ambulatory cadence for 30 continuous min, age, and total ambulatory strides. In subjects between 21 and 50 years, LAEI model (R(2) = 0.41, P < 0.001) included systolic blood pressure (SBP), gender, race, and diastolic blood pressure (DBP). SAEI model (R(2) = 0.42, P < 0.001) contained gender, BMI, DBP, race, dyslipidemia, and SBP. In subjects older than 50 years, LAEI model (R(2) = 0.54, P < 0.001) included SBP, gender, age, and BMI. SAEI model (R(2) = 0.45, P < 0.001) contained gender, age, BMI, DBP, current smoking, and SBP.

CONCLUSIONS

Daily ambulatory activity, particularly cadence of 30 continuous min of ambulation, is positively associated with arterial elasticity in children and adolescents. In contrast, the predominant factors related to the decline in arterial elasticity in adults are blood pressure and age.

摘要

背景

我们确定了人口统计学变量、心血管危险因素和活动测量,这些变量可以预测 9 至 89 岁健康人群的大动脉弹性和小动脉弹性。

方法

共对 480 名受试者进行了大动脉弹性指数(LAEI)、小动脉弹性指数(SAEI)、人口统计学指标、心血管危险因素以及 7 天连续日常活动的评估。使用所有可能的回归和马罗的 C(p)来选择用于预测 LAEI 和 SAEI 的多变量模型。

结果

在 20 岁及以下的受试者中,LAEI 模型(R²=0.25,P<0.001)包括年龄、平均日常活动步频和肥胖。SAEI 模型(R²=0.39,P<0.001)包含体重指数(BMI)、30 分钟连续最大日常活动步频、年龄和总日常活动步数。在 21 至 50 岁的受试者中,LAEI 模型(R²=0.41,P<0.001)包括收缩压(SBP)、性别、种族和舒张压(DBP)。SAEI 模型(R²=0.42,P<0.001)包含性别、BMI、DBP、种族、血脂异常和 SBP。在 50 岁以上的受试者中,LAEI 模型(R²=0.54,P<0.001)包括 SBP、性别、年龄和 BMI。SAEI 模型(R²=0.45,P<0.001)包含性别、年龄、BMI、DBP、当前吸烟和 SBP。

结论

日常活动,尤其是 30 分钟连续活动的步频,与儿童和青少年的动脉弹性呈正相关。相比之下,与成人动脉弹性下降相关的主要因素是血压和年龄。

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