Literature DB >> 29517558

High SBP trajectories are associated with risk of all-cause death in general Chinese population.

Anxin Wang1, Yajing Zhang2,3, Jingjing Li4, Quanhui Zhao2,3, Yibin Cao4, Jing Li2,3, Ruiying Zhang2,3, Shuohua Chen3, Jingsheng Gao3, Shouling Wu3.   

Abstract

OBJECTIVE: This study aimed to investigate whether long-term trajectories of high SBP can further predict risk of all-cause death in Chinese adults.
METHODS: We used a community-based cohort of 84 363 participants without myocardial infarction, stroke, or cancer, in 2010. SBP trajectories used latent mixture modeling with data from 2006, 2008, and 2010. Cox proportional hazards models were used to examine the association between SBP trajectories and risk of all-cause death in 2010-2015.
RESULTS: We identified five distinct SBP trajectory patterns based on the 2006 status and the pattern of change during 2006-2010. Each pattern was labeled according to the SBP levels and pattern over time: low-stable (n = 21 249), moderate-stable (n = 39 390), moderate-increasing (n = 9634), elevated-decreasing (n = 9094) and elevated-stable (n = 4996). During 5.24 ± 1.04 years of follow-up, we documented 4131 deaths. After adjusting for potential confounding factors and using the low-stable group as a reference, hazard ratios [95% confidence interval (CI)] of all-cause death for the moderate-stable, moderate-increasing, elevated-decreasing, and elevated-stable groups were 1.32 (1.12-1.56), 1.60 (1.26-2.04), 1.69 (1.38-2.07), and 1.75 (1.33-2.32), respectively. Although the moderate-stable trajectory exhibited SBP ranges within the 'normal' range (126.90-130.09 mmHg) in 2006-2010, this group had higher all-cause death risk relative to the low-stable trajectory group (109.86-112.46 mmHg) (adjusted hazard ratio = 1.32, 95% CI 1.12-1.56).
CONCLUSION: High SBP trajectories are independent risk factors for all-cause death. Our findings suggest increasing SBP trajectories within the currently designated 'normal' range may still increase risk of all-cause death.

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Year:  2018        PMID: 29517558     DOI: 10.1097/HJH.0000000000001698

Source DB:  PubMed          Journal:  J Hypertens        ISSN: 0263-6352            Impact factor:   4.844


  6 in total

1.  Generational differences in longitudinal blood pressure trajectories by geographic region during socioeconomic transitions in China.

Authors:  Jinjing Wu; Peter A Muennig; Katherine Keyes; Jilei Wu
Journal:  Int J Public Health       Date:  2019-06-26       Impact factor: 3.380

2.  Relation of Blood Pressure in Childhood to Self-Reported Hypertension in Adulthood.

Authors:  Elaine M Urbina; Philip R Khoury; Lydia Bazzano; Trudy L Burns; Stephen Daniels; Terrence Dwyer; Tian Hu; David R Jacobs; Markus Juonala; Ronald Prineas; Olli Raitakari; Julia Steinberger; Alison Venn; Jessica G Woo; Alan Sinaiko
Journal:  Hypertension       Date:  2019-06       Impact factor: 10.190

3.  Effect of resting heart rate on the risk of all-cause death in Chinese patients with hypertension: analysis of the Kailuan follow-up study.

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Journal:  BMJ Open       Date:  2020-03-10       Impact factor: 2.692

4.  All-cause mortality in metabolically healthy individuals was not predicted by overweight and obesity.

Authors:  Qiuyue Tian; Anxin Wang; Yingting Zuo; Shuohua Chen; Haifeng Hou; Wei Wang; Shouling Wu; Youxin Wang
Journal:  JCI Insight       Date:  2020-08-20

5.  Moderate physical activity may not decrease the risk of cardiovascular disease in persistently overweight and obesity adults.

Authors:  Qiuyue Tian; Biyan Wang; Shuohua Chen; Shouling Wu; Youxin Wang
Journal:  J Transl Med       Date:  2022-01-28       Impact factor: 5.531

6.  Long Term Prognostic Impact of Sex-specific Longitudinal Changes in Blood Pressure. The EPIC-Norfolk Prospective Population Cohort Study.

Authors:  Tiberiu A Pana; Robert N Luben; Mamas A Mamas; John F Potter; Nicholas J Wareham; Kay-Tee Khaw; Phyo K Myint
Journal:  Eur J Prev Cardiol       Date:  2022-02-19       Impact factor: 7.804

  6 in total

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