STROKE INCIDENCE AND RISK-FACTORS FOR STROKE IN COPENHAGEN, DENMARK
STROKE INCIDENCE AND RISK-FACTORS FOR STROKE IN COPENHAGEN, DENMARK
复制标题
DOI：
10.1161/01.str.19.11.1345
复制
发表时间：
1988-11-01
期刊：
影响因子：
8.3
通讯作者：
SCHNOHR, P
中科院分区：
文献类型：
--
作者：
BOYSEN, G;NYBOE, J;SCHNOHR, P
丹麦哥本哈根的中风发病率是在 19,327 名被邀请参加两次间隔 5 年的健康检查的随机人群样本中记录的，从 1976 年到 1983 年。中风发病率随着年龄的增长呈指数增长。 1980年对丹麦人口的年龄和性别分布进行调整后，估计首次中风的发病率为1.41/1000名女性和2.48/1000名男性；总发病率为1.94/1000人。危险因素分析基于对 13,088 名年龄 > 35 岁、无中风史且对第一次邀请作出回应的人进行的初步检查，随后观察到其中 295 例首次中风。我们使用 Cox 回归模型。然而，我们对该模型的使用不同于通常用于开发预后模型的自动程序。对特定风险因素的因果影响的评估需要确定/假设相关因素与其他风险因素之间相互影响的方向。 在我们检查的 16 个潜在中风危险因素中，发现年龄、性别、家庭收入、吸烟习惯、收缩压、糖尿病、血浆胆固醇浓度、缺血性心脏病和心房颤动有显着影响。对于中风的阳性家族史、学校教育年限、婚姻状况、饮酒、每天使用镇静剂、体重指数或绝经后激素治疗，没有显示出显着的影响。
Stroke incidence in Copenhagen, Denmark was recorded in a random population sample of 19,327 persons invited for two health examinations with 5 years'' interval from 1976 to 1983. Stroke incidence increased exponentially with age. After adjustment of the age and sex distribution of the Danish population in 1980, the estimated incidence of first stroke was 1.41/1000 women and 2,48/100 men; the total incidence was 1.94/1000 population. Risk factor analysis was based on the initial examination of 13,088 persons >35 years old without previous stroke who responded to the first invitation, in whom 295 first strokes were subsequently observed. We used the regression model of Cox. However, our use of this model differs from the somewhat automatic procedures normally used to develop prognostic models. Evaluation of the causative effect of a particular risk factor requires that the direction of mutual influences between the factor in question and other risk factors is established/postulated. Among the 16 potential risk factors for stroke we examined, significant effects were found for age, sex, household income, smoking habits, systolic blood pressure, diabetes, plasma cholesterol concentration, ischemic heart disease, and atrial fibrillation. No significant effect could be demonstrated for a positive family history of stroke, years of school education, marital status, alcohol consumption, daily use of tranquilizers, body mass index, or postmenopausal hormone treatment.