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
First author：Anxin Wang
Corresponding author：Shouling Wu
essential_information
- Person in charge：Anxin Wang
- Data Sources： Kailuan Study
- Number of papers：KAILUAN STUDY20180080
- Published time：2016-08-02
2016-08-02
Published articles
Journal：Therapeutics and clinical risk management
Publication type: Original Contributions
IF(IF): 2.423
PMID: 27536123 Link To Pubmed Full text Download
Background And Purpose
To investigate the relationship between baseline systolic blood pressure (SBP) and visit-to-visit blood pressure variability in a general population.
Method
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.
Conclusion
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.
Main results
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.