摘要
目的探索社会人口指数(Socio-Demographic Index,SDI)及其与疾病负担指标间的关系。方法利用GBD 2017数据,以全球及7个国家的1990—2017年的HALE、DALY率、YLD率、YLL率与SDI之间的相关性,探讨SDI的实际应用价值。结果1.随着SDI的增加,HALE明显增加;YLL率和DALY率明显减少。2.低SDI国家的YLD率变化趋势与YLL率、DALY率相同;而在寿命较长的高SDI、中SDI国家中,随SDI增加YLD率也会增加。3.不同疾病(如心血管疾病、肿瘤)的社会人口学特征差异较大,应该具体分析他们与SDI之间的关系。结论SDI是一个较好指标,可作为重要协变量预测各地的疾病负担与健康发展状况。
Objective To introduce the Socio-Demographic Index(SDI)and explore its relationship with disease burden indicators.Methods Based on the data of GBD 2017,we describe the correlation between HALE,DALY rate,YLD rate,YLL rate and SDI from 1990 to 2017 in the global and other 7 countries to explore the practical application value of SDI.Results 1.With the increase of SDI,HALE increased significantly;YLL rate and DALY rate decreased significantly.2.The trend of YLD rate in low-SDI countries was the same as that of YLL rate and DALY rate;in the high-SDI and middle-SDI countries with longer life spans,as SDI increased,YLD rate also increased.3.Because the socio-demographic characteristics of different diseases(such as Cardiovascular diseases and Neoplasms)are quite different,we should specifically analyze their relationship with SDI.Conclusion SDI is a good indicator,which can be used as an important covariate to predict disease burden and health outcomes in various areas.
作者
宇传华
白建军
YU Chuanhua;BAI Jianjun(School of Health Sciences,Wuhan University,Wuhan 430071,China)
出处
《公共卫生与预防医学》
2020年第1期5-10,共6页
Journal of Public Health and Preventive Medicine
基金
国家重点研发计划之课题——重大慢性病伤残负担研究(2018YFC1315102)
国家自然科学基金——基于统计模型的人群健康大数据修匀与健康评价研究(81773552)。
