RÉSUMÉ
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.