Authors
Jianhua Zhang, Linghua Zhao, Yao Chao, Zhijuan Zhang, Jianli Guo
Published in
Tobacco induced diseases. Volume 24. Epub Jul 20, 2026.
Abstract
Acute myeloid leukemia (AML) is a major public health problem. However, the epidemiological pattern of the burden of AML attributable to tobacco globally remains unclear. This study aimed to characterize the global, regional, and national burden of AML attributable to tobacco from 1990 to 2021 and to forecast it to 2050.
Data were sourced from the Global Burden of Disease (GBD) study 2021, and secondary dataset analysis was used in the present research. Age-standardized rates of tobacco-attributable AML deaths and disability-adjusted life years (DALYs) were analyzed, with estimated annual percentage change (EAPC) calculated. Age-period-cohort (APC) analysis was performed to quantify the age, period, and birth cohort effects on AML attributable to tobacco. A Bayesian APC model was subsequently us ed to project the disease burden of attributable to tobacco between 2022 and 2050.
From 1990 to 2021, the burden of AML attributable to tobacco globally presented downward trends. The age-standardized death rate (ASDR) decreased from 0.214 [95% uncertainty interval (UI): 0.08-0.35] per 100000 people in 1990 to 0.176 (95% UI: 0.062-0.307) per 100000 people in 2021. The high sociodemographic index (SDI) regions had the highest ASDR and age-standardized DALYs rate for AML attributable to tobacco in 2021. The greatest burden of AML attributable to tobacco was the age group of 70-74 years among the risk factors of AML; tobacco shared at 11.5% of global deaths. As for the age effect, death due to AML attributable to tobacco increased with age, rising slowly before 40 years of age and accelerating sharply thereafter. The ASDR for males decreased from 0.3 per 100000 people in 2021 to 0.24 per 100000 people in 2022.
Although the burden of AML attributable to tobacco had been on a downward trend from 1990 to 2021, it is particularly prominent in high SDI regions, high-income regions, and the elderly population.
PMID:
42502417
Bibliographic data and abstract were imported from PubMed on 26 Jul 2026.
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