Mortality and Years of Life Lost Due to Brain and Other Central Nervous System Cancer in Wuhan, China, from 2010 to 2019

Author:

Chen Jiahao1ORCID,Liu Yan1,Wen Haoyu1,Yan Yaqiong2,Yang Niannian2,Guo Yan2,Dai Juan2,Yu Chuanhua1ORCID

Affiliation:

1. Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan 430071, China

2. Wuhan Center for Disease Control & Prevention, Wuhan 430022, China

Abstract

Background: Brain cancer is one of the worst types of cancer worldwide. Understanding the epidemiology of CNS cancer is critical for properly allocating healthcare resources. Methods: We collected data on CNS cancer deaths in Wuhan, China, during 2010–2019. We constructed the cause-eliminated life tables to calculate life expectancy (LE), mortality, and years of life lost (YLLs) by age and sex. The BAPC model was used to forecast the future trends of age-standardized mortality rate (ASMR). Decomposition analysis was adopted to explore the contribution of population growth, population aging, and age-specific mortality to the change in total CNS cancer deaths. Results: In 2019, the ASMR of CNS cancer was 3.75, and the ASYR was 135.70 in Wuhan, China. ASMR was expected to decrease to 3.43 in 2024. The age distribution of deaths due to CNS cancer was concentrated in the middle-aged and older population, with a peak in the 65–69 age group. Caidian, Jianghan, and Qingshan had the greatest ASMRs in 2019 in Wuhan, with ASMRs of 6.32, 4.78, and 4.75, respectively. Population aging is critical to the change in total CNS cancer deaths. Conclusion: We analyzed the current status, temporal trends, and gender and age distributions of the burden of CNS cancer in Wuhan, during 2010–2019, providing a valuable reference for better lessening the CNS cancer burden.

Funder

National Natural Science Foundation of China

Wuhan Medical Research Project

Hubei Provincial Health Commission

Publisher

MDPI AG

Subject

Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health

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