RESUMEN
BACKGROUND: Alcohol use disorders (AUD) has long been one of the most disability mental disorders and a major cause of health loss. METHODS: Based on open access data from the 2019 Global Burden of Disease (GBD 2019) study, we extracted data of years lived with disability (YLD), years of life lost (YLL) and disability-adjusted life years (DALY) to describe the changes of AUD burden over the period of 1990-2019 stratified by sex in globe, high-income countries (HICs), upper-middle income countries (UMCs), lower-middle income countries (LMCs), low-income countries (LICs) and China. We used Joinpoint regression model to fit the changing trend of years. And pairwise comparison was applied to test the coincidence parallelism and judge whether the difference of the trend among different regions is statistically significant. RESULTS: LMCs experienced the largest changes in the YLD rate of AUD from 1990 to 2019 (average annual percent change (AAPC) = -0.7, 95% confidence interval (CI) = -0.8, -0.7, P < 0.05), with China experienced a higher increase in 1990 to 1993 (annual percent change (APC) = 3.8, 95% CI = 3.2, 4.4, P < 0.05) than other regions, and the rate of decline in China from 1996 to 2002 (APC = -3.4, 95% CI = -3.6, -3.1, P < 0.05) was higher than that in other regions. UMCs experienced the largest changes in the YLL rate of AUD from 1990 to 2019 (AAPC = -1.1, 95% CI = -1.6, -0.6, P < 0.05), with a larger decline in 2004 to 2012 (APC = -6.2, 95% CI = -6.7, -5.7, P < 0.05) than other regions, and China experienced a larger increase in the rate of YLL from 1999 to 2004 (APC = 9.2, 95% CI = 8.5, 9.9, P < 0.05) than other regions. LMCs experienced the largest changes in the DALY rate of AUD from 1990 to 2019 (AAPC = -0.9, 95% CI = -1.0, -0.8, P < 0.05), with a larger decline in 2006 to 2010 (APC = -3.3, 95% CI = -3.6, -2.9, P < 0.05) than other regions, and UMCs showed a larger increase in the rate of DALY from 1990 to 1994 (APC = 4.5, 95% CI = 3.8, 5.1, P < 0.05) than other regions. CONCLUSIONS: Given the large variations in AUD burden of disease by income level, future strategies to prevent and reduce the burden should be developed and implemented based on country-specific development status.