Disease burden attributable to alcohol consumption in China in1990 and 2019
10.3969/j.issn.1006-2483.2023.01.004
- VernacularTitle:1990年与2019年中国归因于饮酒的疾病负担分析
- Author:
Hui-xin SUN
1
;
Xin-yue GU
2
;
Ai-di SUN
2
;
Yang JIANG
2
Author Information
1. Institute of Cancer Prevention and Treatment , Harbin Medical University , Harbin , Heilongjiang 150081 ,China
2. Harbin Medical University Cancer Hospital , Harbin , Heilongjiang 150081,China
- Publication Type:Journal Article
- Keywords:
Drinking;
Attribution analysis;
Disease burden;
Mortality;
Disability adjusted life years
- From:
Journal of Public Health and Preventive Medicine
2023;34(1):16-19
- CountryChina
- Language:Chinese
-
Abstract:
Objective To compare and analyze the disease burden caused by drinking in China in 1990 and 2019. Methods The global disease burden database 2019 was used to analyze the attribution score (PAF), mortality, disability adjusted life year (DALY) and other indicators attributed to drinking in China in 1990 and 2019. The disease burden caused by alcohol consumption was compared between China and the world as well as different social demographic index (SDI) regions. Results From 1990 to 2019, the PAF attributed to drinking increased by 12.85%. The number of deaths attributed to drinking increased to 514 700, and the mortality increased to 36.18/100 000, while the DALY attributed to drinking increased to 17.2651 million person-years, and the DALY rate increased by 5.16%. The disease burden attributed to drinking was higher in men than that in women, and the attributable mortality and DALY rate in the elderly over 70 years old were higher than those in the young. From 1990 to 2019, the attributable disease burden of esophageal cancer was the highest in China, followed by colorectal cancer. Compared with the world and different SDI regions, China had the lowest standardized DALY rate attributed to drinking. Conclusion Drinking is one of the important risk factors for related diseases and cancers in China, and effective intervention measures should be taken for key populations.
