山东多中心健康管理纵向观察队列

doi:10.6040/j.issn.1671-7554.0.2017.376

摘要/Abstract

摘要： 目的介绍山东多中心健康管理纵向观察队列,描述该队列资料的主要变量和疾病的特征,阐明本队列构建的目标。方法山东多中心健康管理纵向观察队列为前瞻性、动态开放式队列。自2004年开始了数据采集、数据库构建、队列随访等一系列工作,迄今队列总人数已近100万人,最长观察时间已达12年,大约20%个体与医疗保险疾病结局数据和死因数据库实现了合并。信息收集包括问卷调查、体格检查和实验室检测。结果本次研究个体数为76 368人,男43 818人,女32 550人。高血压、糖尿病、脑卒中、冠心病的累积发病风险分别为49.40%、23.98%、4.74% 和6.82%。结论山东多中心健康管理纵向观察队列是研究各种因素在慢性病发生、发展和转归过程中的作用、构建适用于健康管理人群疾病风险评估模型的基础,基于该队列的各项研究结果能够为慢性病的健康干预提供科学依据。

关键词: 健康管理, 慢性病, 纵向观察队列, 多中心

Abstract: Objective To introduce the characteristics of diseases and main variables, and the objectives of Shandong Multi-center Longitudinal Cohort for Health Management. Methods Shandong Multi-center Longitudinal Cohort for Health Management is a prospective, dynamic and open cohort. Since 2004, we began to collect data, construct database, conduct follow-ups, and so on. So far the total number of cohort is about 100 million, the longest observation time is 12 years, and about 20% of data have merged with medical insurance disease outcome data and cause of death. The information collection methods include questionnaires, physical examinations and laboratory tests. Results A total of 76 368 people were enrolled in this study, including 43 818 males and 32 550 females. The cumulative risk of hypertension, diabetes, stroke, and coronary heart disease is 49.40%, 23.98%, 4.74% and 6.82%, respectively. Conclusion Shandong Multi-center Longitudinal Cohort for Health Management was established in order to explore the roles of various factors in the development of chronic diseases, to construct the risk assessment models, and to provide a scientific basis for interventions.

Key words: Health management, Chronic diseases, Longitudinal observation cohort, Multi-center

中图分类号:

刘娅飞,邢娉,徐秀琴,杨淑芳,刘言训,袁中尚,薛付忠. 山东多中心健康管理纵向观察队列[J]. 山东大学学报（医学版）, 2017, 55(6): 30-36.

LIU Yafei, XING Ping, XU Xiuqin, YANG Shufang, LIU Yanxun, YUAN Zhongshang, XUE Fuzhong. Shandong multi-center longitudinal cohort for health management: a brief introduction[J]. JOURNAL OF SHANDONG UNIVERSITY (HEALTH SCIENCES), 2017, 55(6): 30-36.

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