文章摘要
应桂英,李宁秀,任晓晖,刘丹萍.四川省城市居民脑血管病主要危险因素定量评价标准的研究[J].中华流行病学杂志,2003,24(12):1141-1145
四川省城市居民脑血管病主要危险因素定量评价标准的研究
Quantitative assessment of risks on cerebral vascular diseases in urban residents in Sichuan
收稿日期:2003-04-01  出版日期:2014-09-18
DOI:
中文关键词: 脑血管病  危险因素  定量评价标准
英文关键词: Cerebral vascular diseases  Risk factors  Quantitative assessment
基金项目:四川省卫生厅科技发展基金资助项目 (981070 )
作者单位
应桂英 610041 成都, 四川大学华西公共卫生学院社会医学教研室
610021 成都市疾病预防控制中心 
李宁秀 610041 成都, 四川大学华西公共卫生学院社会医学教研室 
任晓晖 610041 成都, 四川大学华西公共卫生学院社会医学教研室 
刘丹萍 610041 成都, 四川大学华西公共卫生学院社会医学教研室 
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中文摘要:
      目的 制定脑血管病主要危险因素的定量评价标准。方法 通过文献检索收集脑血管病的危险因素、病例对照和队列研究资料,收集四川省的行为危险因素监测资料,运用系统评价数据库软件 (ReviewManager 4.1.1)进行Meta分析,将各研究的危险因素与脑血管病的比值比 (OR)、相对危险度 (RR)进行合并,以合并的OR(RR)值为基础,运用统计模型将不同暴露水平的危险因素转换为危险分数。结果 以 5岁为一个年龄组,建立了 35~ 6 9岁分性别的脑血管病主要危险因素 :吸烟、被动吸烟、高血压、高血脂、体重指数、体育锻炼、饮酒、高脂饮食、喝奶、口服避孕药、糖尿病史、心脏病史和脑卒中家族史的定量评价标准 (危险分数转换表 )。无这些危险因素 (体育锻炼、喝奶除外 )者其危险分数均≤ 1.0 0,而有这些危险因素者其危险分数均 >1.0 0,且危险分数随危险程度的增加而增高。结论 脑血管病危险分数转换表是计算脑血管病存在死亡危险的基础,后者可预测个体在未来 10年发生脑血管病死亡的概率。
英文摘要:
      Objective To set a quantitative criteria fo r determining the risks on cerebral vascular disease(CVD) so to identify that po tential risk of an individual dying from CVD and to predict the individual risk of CVD.Methods Data on case-co ntrol and cohort studies published during 1978 to 2003w as collected throug h re triev al o f literatures, and data on surveillance o f behavior ex posure was provided by Chengdu Municipal Center for Disease Co ntrol and Prevention.Pooled odds ratio (OR)and relative risk(RR)of all risk factors for CVD were estimated using softw are for meta-analysis to enable the varied levels of risk factors be conver ted into risk fractions by statistical models.Results A risk score co nversion table(quantitative criteria for assessment)of main risk facto rs fo r CVD was developed for men and women aged 35-69 at an interval of five years, including smoking, passive smo king, hypertension, high bloodcholesterol levels, body mass index, lack of physical activity, alcohol drinking, dietary fat consumption, milk intake, o ral contraceptive use, past history of diabetes and CVD, family history of CVD etc.Individuals with all these risk factors had a risk score beyond 1.00, but w as equal to or below 1.00 when without.The risk score would increase along with the rise of one' s risk level.Conclusion Estimation of risk of dying from CVD was based on risk score conv ersion table of risk facto rs for CVD, which could be used to predict individual potential risk of dying from CVD in the following 10 years.Our data provides evidence that educatio n to be streng thened to persuade people to change their unhealthy lifestyles and behaviors.
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