国家神经系统疾病临床医学研究中心数据管理与共享系统

Data Management And Sharing System of China National Clinical Research Center for Neurological Diseases

Impact of baseline systolic blood pressure on visit-to-visit blood pressure variability: the Kailuan study

第一作者:Anxin Wang

通讯作者:Shouling Wu

blood pressure variability coefficient of variatio

基本信息

  • 负责人:Anxin Wang
  • 数据来源: Kailuan Study
  • 论文编号:KAILUAN STUDY20180080
  • 发表时间:2016-08-02

2016-08-02

已发表文章

发表杂志:Therapeutics and clinical risk management

发表类型: Original Contributions

影响因子(IF): 2.423

PMID: 27536123 Pubmed原文链接 全文下载

主要研究背景及目的

To investigate the relationship between baseline systolic blood pressure (SBP) and visit-to-visit blood pressure variability in a general population.

方法

This is a prospective longitudinal cohort study on cardiovascular risk factors and cardiovascular or cerebrovascular events. Study participants attended a face-to-face interview every 2 years. Blood pressure variability was defined using the standard deviation and coefficient of variation of all SBP values at baseline and follow-up visits. The coefficient of variation is the ratio of the standard deviation to the mean SBP. We used multivariate linear regression models to test the relationships between SBP and standard deviation, and between SBP and coefficient of variation.

结论

Both lower and higher baseline SBPs were associated with increased blood pressure variability. To control blood pressure variability, a good target SBP range for a general population might be 120–139 mmHg.

主要结果

Approximately 43,360 participants (mean age: 48.2±11.5 years) were selected. In multivariate analysis, after adjustment for potential confounders, baseline SBPs ,120 mmHg were inversely related to standard deviation (P<0.001) and coefficient of variation (P<0.001). In contrast, baseline SBPs $140 mmHg were significantly positively associated with standard deviation (P<0.001) and coefficient of variation (P,0.001). Baseline SBPs of 120–140 mmHg were associated with the lowest standard deviation and coefficient of variation. The associations between baseline SBP and standard deviation, and between SBP and coefficient of variation during follow-ups showed a U curve.