The Fourth Clinical College, China Medical University, Shenyang, China.
Department of Environmental Health, School of Public Health, China Medical University, Shenyang, China.
J Hazard Mater. 2024 Sep 15;477:135319. doi: 10.1016/j.jhazmat.2024.135319. Epub 2024 Jul 25.
Particulate matter pollution (PMP) has been identified as a substantial contributor to cancer. However, accurately delineating the evolving trends in cancer burden attributable to PMP remains an ongoing challenge. The 1990-2019 disability-adjusted life years (DALYs) were used for cancers attributable to PMP from the Global Burden and Disease Study (GBD) 2019, including ambient particulate matter pollution (APMP) and household air pollution from solid fuels (HAP). The joinpoint regression and the Bayesian age-period-cohort (BAPC) model were employed to assess the corresponding trends over the periods 1990-2019 and 2020-2050, respectively. Additionally, statistical models such as frontier analysis and health inequality analysis were also utilized. During the 30-year period, cancer DALYs attributable to APMP increased globally, while those attributable to HAP and PMP decreased. Cancer DALYs attributable to APMP were positively correlated with socio-demographic index (SDI), while those attributable to PMP and HAP were negatively correlated with SDI. Frontier analysis identified the countries and regions requiring urgent action to mitigate PMP-attributable cancer. Finally, it was anticipated that the cancer burden attributable to APMP would increase during 2020 to 2050, while the burden attributable to HAP and PMP would decrease. This study conducted an epidemiological investigation of the burden of cancer attributable to APMP, HAP and PMP in various regions and populations worldwide, providing epidemiological insights into the global burden of cancer attributable to PMP and guiding policy and research directions.
颗粒物污染(PMP)已被确定为癌症的一个重要因素。然而,准确描绘 PMP 导致的癌症负担的变化趋势仍然是一个持续存在的挑战。本研究使用全球疾病负担研究(GBD)2019 中与 PMP 相关的癌症 1990-2019 年伤残调整生命年(DALYs),包括环境颗粒物污染(APMP)和固体燃料家庭空气污染(HAP)。采用联合回归和贝叶斯年龄-时期-队列(BAPC)模型分别评估 1990-2019 年和 2020-2050 年期间的相应趋势。此外,还使用了前沿分析和健康不平等分析等统计模型。在 30 年期间,全球与 APMP 相关的癌症 DALYs 增加,而与 HAP 和 PMP 相关的癌症 DALYs 减少。与 APMP 相关的癌症 DALYs 与社会人口指数(SDI)呈正相关,而与 PMP 和 HAP 相关的癌症 DALYs 与 SDI 呈负相关。前沿分析确定了需要采取紧急行动减轻 PMP 相关癌症的国家和地区。最后,预计 2020 年至 2050 年期间,与 APMP 相关的癌症负担将会增加,而与 HAP 和 PMP 相关的癌症负担将会减少。本研究对全球不同地区和人群中与 APMP、HAP 和 PMP 相关的癌症负担进行了流行病学调查,为 PMP 相关癌症的全球负担提供了流行病学见解,并指导了政策和研究方向。