医疗大数据在慢性病研究中的作用  

The Role of Medical Big Data in Chronic Disease Study

作　　者：陆建华 邹志武[1] LU Jian-hua;ZOU Zhi-wu(Information Department,Zhujiang Hospital of Southern Medical University,Guangzhou 510000,Guangdong Province,P.R.C)

机构地区：[1]南方医科大学珠江医院信息科

出　　处：《中国数字医学》2019年第8期32-34,共3页China Digital Medicine

摘　　要：目的:探讨医疗大数据在慢性病研究中的应用。方法:通过引用中国健康与养老追踪调查(China Health andRetirement Longitudinal Survey, CHARLS)医疗数据库,分析其收集的样本量为17 708例来自全国150个县、区的450个村、45岁以上的群体,并采用Logistic回归模型对主要慢性病的患病影响因素进行分析。结果:显示该群体高血压、心脏病、糖尿病等的慢性病患病率高,其危险因素为高血糖、高糖化血红蛋白、血脂过高等。结论:医疗大数据的分析可以掌握群体慢性病的分布及危险因素,将为慢性病的防治提供依据。Objective: To explore the role of medical big data in chronic disease study. Methods: We analyzed the influencing factors of the main chronic diseases of the sample size of 17 708 people that over 45 years old from 450 villages of 150 counties and districts in China according to the CHARLS medical database by logistic regression model. Results: The prevalence of chronic diseases such as hypertension, heart disease and diabetes were high and the risk factors of which were hyperglycemia, hyperglycemic hemoglobin and hyperlipidemia. Conclusion: We can grasp the distribution and risk factors of chronic diseases by medical big data, which will provide the basis for the prevention and treatment of chronic diseases.

关 键 词：医疗大数据 慢性病 中国健康与养老追踪调查 

分 类 号：R319[医药卫生—基础医学]