Literature DB >> 23868276

Ideal cardiovascular health metrics and the risks of ischemic and intracerebral hemorrhagic stroke.

Qian Zhang1, Yong Zhou, Xiang Gao, Chunxue Wang, Shufeng Zhang, Anxin Wang, Na Li, Liheng Bian, Jianwei Wu, Qian Jia, Shouling Wu, Xingquan Zhao.   

Abstract

BACKGROUND AND
PURPOSE: Previous studies showed an inverse association between ideal cardiovascular health (CVH) metrics and the total risk of cardiovascular diseases and stroke. This study aimed to investigate the relationship between ideal CVH metrics and the risks of ischemic and hemorrhagic stroke, respectively.
METHODS: We collected information on the 7 ideal CVH metrics (including smoking status, body mass index, dietary intake, physical activity, blood pressure, total cholesterol, and fasting blood glucose) among 91 698 participants from the Kailuan study, China (72 826 men and 18 872 women between the ages of 18 and 98 years), free of myocardial infarction and stroke at baseline (2006-2007). Cox proportional hazards models were used to estimate stroke risk.
RESULTS: During the 4-year follow-up, we identified 1486 incident stroke events (1057 ischemic, 386 intracerebral hemorrhagic, and 43 subarachnoid hemorrhagic). The hazard ratios (95% confidence interval) for total stroke with adherence to 0 (reference), 1, 2, 3, 4, 5, and 6/7 ideal CVH metrics were: 1, 0.92 (0.69-1.23), 0.69 (0.52-0.92), 0.52 (0.39-0.68), 0.38 (0.28-0.51), 0.27 (0.18-0.40), and 0.24 (0.11-0.54), respectively (P trend <0.01), after adjusting for age, sex, education, income, and hospital. Similar inverse associations were observed for both ischemic and intracerebral hemorrhagic stroke (both P trend <0.01).
CONCLUSIONS: We observed a clear inverse gradient relationship between the number of ideal CVH metrics and the risk of stroke in a Chinese population, supporting the importance of ideal health behaviors and factors in stroke prevention.

Entities:  

Keywords:  cardiovascular health; epidemiology; prevention & control; stroke

Mesh:

Year:  2013        PMID: 23868276     DOI: 10.1161/STROKEAHA.113.678839

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  88 in total

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Review 9.  Association between ideal cardiovascular health metrics and risk of cardiovascular events or mortality: A meta-analysis of prospective studies.

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