目的:这项研究的目的是检查1990年至2019年中国因颗粒物(PM2.5)污染引起的肺癌疾病负担。
方法:来自2019年全球疾病负担研究的数据用于估计气管的疾病负担,在中国,支气管和肺癌归因于PM2.5。
方法:将Joinpoint回归模型应用于残疾调整生命年(DALYs),以评估时间趋势并估计PM2.5对肺癌总体疾病负担的影响。此外,进行了年龄-时期-队列模型,以评估归因于PM2.5暴露的肺癌DALYs与年龄之间的关系,1990年至2019年中国的日历期和出生队列趋势。
结果:由于固体燃料造成的家庭空气污染导致的肺癌DALYs下降,平均每年变化(AAPC)为每100,000人口2.9%,在过去的30年中,由于环境特殊物质污染(APE)而增加(AAPC:每100,000人口-4.7%)。男性的DALYs肺癌负担高于女性,它显示了年龄依赖性的增长。周期和队列效应也对APE引起的肺癌的DALYs发生率产生重大影响,表明每年所有年龄组的肺癌DALYs总体增加。
结论:这项研究强调了需要有效的策略来减少中国的PM2.5暴露,特别是从户外来源。性别差异和年龄,研究中观察到的周期效应和队列效应为PM2.5引起的肺癌负担的长期趋势提供了有价值的见解.
OBJECTIVE: The aim of this study was to examine the disease burden of lung cancer attributable to particulate matter (PM2.5) pollution in
China from 1990 to 2019.
METHODS: Data from the Global Burden of Disease Study 2019 were used to estimate the disease burden of tracheal, bronchus and lung cancer attributed to PM2.5 over time in
China.
METHODS: Joinpoint regression models were applied to disability-adjusted life years (DALYs) to assess the time trends and estimate the impact of PM2.5 on the overall disease burden of lung cancer. Furthermore, age-period-cohort models were conducted to assess the relationships between lung cancer DALYs attributed to PM2.5 exposure and age, calendar period and birth cohort trends in
China from 1990 to 2019.
RESULTS: Lung cancer DALYs attributable to household air pollution from solid fuels decreased with an average annual percent change (AAPC) of 2.9 % per 100,000 population, while those attributable to ambient particular matter pollution (
APE) increased (AAPC: -4.7 % per 100,000 population) over the past 30 years. The burden of lung cancer in terms of DALYs in males was higher than in females, and it demonstrated an age-dependent increase. The period and cohort effects also had significant impacts on the DALYs rates of lung cancer attributable to
APE, indicating an overall increase in lung cancer DALYs for all age groups in each year.
CONCLUSIONS: This study highlights the need for effective strategies to reduce PM2.5 exposure in China, particularly from outdoor sources. Gender differences and age, period and cohort effects observed in the study provide valuable insights into long-term trends of lung cancer burden attributed to PM2.5.