The Association between Blood Pressure Trajectories and Risk of Cardiovascular Diseases among Non-Hypertensive Chinese Population

Although previous studies have discussed the association between trajectories of blood pressure (BP) and risk of cardiovascular diseases (CVDs), the association among the non-hypertensive general population of youth and middle age has not been elucidated. We used the growth mixture model to explore the trajectories of BP among the non-hypertensive Chinese population and applied Cox regression to evaluate the association between trajectories of BP and the risk of stroke or myocardial infarction (MI). Systolic blood pressure (SBP) and diastolic blood pressure (DBP) were categorized into three classes, respectively. Statistically significant associations were observed between SBP trajectories and stroke (range of adjusted hazard ratios (aHR): 1.369-3.837) or MI (rang of aHR = 6.047-13.017). Association between DBP trajectories and stroke (aHR: 3.685) or MI (range of aHR = 1.312-2.821) were also observed, although they did not reach statistical significance. Trajectories of SBP were more important risk factors than that of DBP in stroke and MI in our study population. BP management is important among pre-hypertensive adults to prevent stroke and MI when they age. Well-designed research with a larger sample size is required to confirm our findings and develop efficient methods to prevent CVDs

Blood pressure · Cardiology · Cohort · Confidence interval · Environmental health · Hazard ratio · Myocardial infarction · Population · Proportional hazards model · Stroke (engine · Blood Pressure and Hypertension Studies · Cardiovascular Health and Disease Prevention · Medicine · Sodium Intake and Health · Internal Medicine

• Multiple Imputation for Missing Data

  K J Lee, John B Carlin•American Journal of Epidemiology•2010

  Incluir item

• Status of Hypertension in China

  Zengwu Wang, Zuo Chen et al.•Circulation•2018

  Incluir item

• The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure The JNC 7 Report

  Aram V Chobanian•JAMA•2003

  Incluir item

• Mortality, morbidity, and risk factors in China and its provinces, 1990–2017

  Open Access•Maigeng Zhou, Haidong Wang et al.•The Lancet•2019

  Incluir item

• Global, regional, and national burden of stroke, 1990–2016

  Open Access•Catherine Owens Johnson, Minh Nguyen et al.•The Lancet Neurology•2019

  Incluir item

• Performance of Factor Mixture Models as a Function of Model Size, Covariate Effects, and Class-Specific Parameters

  Gitta H Lubke, Gitta Lubke et al.•Structural Equation Modeling: A…•2007

  Incluir item

• Maximum Likelihood from Incomplete Data Via the EM Algorithm

  Open Access•A P Dempster, N M Laird et al.•Journal of the Royal Statistical…•1977

  Incluir item

• Testing the number of components in a normal mixture

  Yungtai Lo•Biometrika•2001

  Incluir item

• Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019

  Open Access•Theo Vos, Stephen S Lim et al.•The Lancet•2020

  Incluir item

• Growth Mixture Modeling of Adolescent Body Mass Index Development

  Open Access•Megan E Ames, Maxine Gallander Wintre•Journal of Research on Adolescence•2015

  Incluir item