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首页> 外文期刊>Preventive Medicine: An International Journal Devoted to Practice and Theory >Smoking predicts long-term mortality in stroke: The European Prospective Investigation into Cancer (EPIC)-Norfolk prospective population study.
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Smoking predicts long-term mortality in stroke: The European Prospective Investigation into Cancer (EPIC)-Norfolk prospective population study.

机译:吸烟可预测中风的长期死亡率:欧洲癌症前瞻性调查(EPIC)-诺福克前瞻性人群研究。

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BACKGROUND.: While the relationship between risk factors and stroke is well established, there is less information about the risk factors and survival after stroke. We examined the independent association between cardiovascular and modifiable lifestyle risk factors and subsequent mortality in people with stroke. METHODS.: 308 free-living men and women with stroke at baseline survey in 1993-1997 participating in the European Prospective Investigation into Cancer (EPIC)-Norfolk were followed up for long-term mortality (average follow-up 7.5 years). Using Cox's proportional hazards model, we assessed the relationships between an individual's age, sex, cardiovascular risk profile including systolic blood pressure, body mass index, cholesterol, history of diabetes and lifestyle behaviors smoking and alcohol consumption and subsequent mortality up to July 2004. RESULTS.: There were a total of 100 deaths during follow-up (total person years = 2318). Advancing age (RR 1.72, 95%CI: 1.42, 2.09) and current smoking (RR 2.27, 95%CI: 1.12, 4.57) predicted higher risk while female sex was associated with reduced risk (RR 0.51, 95%CI; 0.31, 0.84) of subsequent mortality after stroke independently of other risk factors investigated. CONCLUSIONS.: Our findings may provide further empirical encouragement for smoking cessation after stroke.
机译:背景:虽然危险因素和中风之间的关系已经很好地建立了,但是关于危险因素和中风后生存的信息却很少。我们研究了心血管和可改变的生活方式危险因素与中风患者随后的死亡率之间的独立关联。方法:对1993-1997年参加欧洲欧洲癌症前瞻性调查(EPIC)-诺福克的基线调查中的308名自发性卒中的男女进行了长期死亡率随访(平均随访7。5年)。使用Cox的比例风险模型,我们评估了一个人的年龄,性别,心血管风险特征之间的关系,包括收缩压,体重指数,胆固醇,糖尿病,生活方式史,吸烟和饮酒以及随后的死亡率,直至2004年7月。 。:随访期间总共有100例死亡(总人年= 2318)。年龄增长(RR 1.72,95%CI:1.42,2.09)和目前吸烟(RR 2.27,95%CI:1.12,4.57)预测较高的风险,而女性与风险降低相关(RR 0.51,95%CI; 0.31, 0.84)中风后的后续死亡率与所调查的其他危险因素无关。结论:我们的发现可能为中风后戒烟提供进一步的经验依据。

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