社区老年体检人群脑卒中风险评估及其影响因素分析

Stroke risk assessment and the influencing factors in the elderly people undergoing physical examination in the community

目的:用脑血管功能积分评估社区老年体检人群脑卒中发病风险,分析影响脑血管功能积分的因素。方法:以2019年参加社区健康体检的2744名老年人为对象,其中男性1237人,女性1507人,平均年龄为(68.4±5.38)岁。在体检过程中收集身高、体重、血压,血脂、血糖等资料,并进行无创伤脑血管功能检测,分析该人群的脑卒中发病风险。用多因素logistic回归分析影响脑血管功能积分的因素。结果:脑血管功能积分低于75分的脑卒中高危个体占49.4%,其中男性为47.5%,女性为50.9%,差异无统计学意义(P>0.05),65~69岁和80岁及以上年龄组的男性和女性组间比较差异有统计学意义(P<0.05)。脑卒中高危人群的比例随着年龄增长而上升(P<0.01)。多因素logistic回归分析结果显示,性别、年龄、收缩压、BMI与脑血管功能积分降低有关。结论:社区老年人群脑卒中高危个体的比例约为49%,性别、年龄、收缩压水平和肥胖是影响脑血管功能积分的独立因素。

Objective:To use cerebrovascular function score to evaluate the risk of stroke in the community elderly physical examination population,and analyze the influencing factors of cerebrovascular function score.Methods:In 2019,2744 elderly people who participated in the community health examination were selected as the subjects,among them there were 1237 the males and 1507 were the females,with an average age of(68.4±5.38)years.The height,weight,blood pressure,blood lipid,blood glucose and other data were collected during the physical examination,and the non-invasive cerebrovascular function was detected to analyze the risk of stroke in the population.Multivariate logistic regression analysis was used to analyze the influencing factors of cerebrovascular function score.Results:Cerebrovascular function score of less than 75 points of high risk stroke individuals accounted for 49.4%,47.5%of them were the male and 50.9%were the female,and the difference was not statistically significant(P>0.05),there was a significant difference between the male and female groups aged 65~69 and 80 and above(P<0.05).The proportion of high risk group of stroke increased with age(P<0.01).Multivariate logistic regression analysis showed that gender,age,systolic blood pressure and BMI were associated with decreased cerebrovascular function score.Conclusion:The proportion of stroke high-risk individuals in the community elderly population is about 49%,and gender,age,systolic blood pressure level and obesity are independent factors of cerebrovascular function score.