关键词: Cancer Epidemiology Global Burden of Disease Health inequality Particulate matter pollution

Mesh : Humans Particulate Matter / analysis Neoplasms / epidemiology chemically induced Global Burden of Disease / trends Air Pollutants / analysis toxicity Air Pollution / adverse effects Disability-Adjusted Life Years Global Health Environmental Exposure / adverse effects Bayes Theorem

来  源:   DOI:10.1016/j.jhazmat.2024.135319

Abstract:
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.
摘要:
颗粒物质污染(PMP)已被确定为癌症的主要原因。然而,准确描述PMP引起的癌症负担的演变趋势仍然是一个持续的挑战.1990-2019年残疾调整寿命年(DALYs)用于2019年全球负担和疾病研究(GBD)中PMP引起的癌症,包括环境颗粒物污染(APMP)和固体燃料(HAP)造成的家庭空气污染。采用联合点回归和贝叶斯年龄周期队列(BAPC)模型分别评估1990-2019年和2020-2050年的相应趋势。此外,还利用了前沿分析和健康不平等分析等统计模型。在30年期间,归因于APMP的癌症DALYs在全球增加,而归因于HAP和PMP的下降。可归因于APMP的癌症DALYs与社会人口统计学指数(SDI)呈正相关,而PMP和HAP与SDI呈负相关。前沿分析确定了需要采取紧急行动以减轻PMP引起的癌症的国家和地区。最后,预计在2020年至2050年期间,APMP引起的癌症负担将增加,而HAP和PMP引起的癌症负担将减少.这项研究对APMP引起的癌症负担进行了流行病学调查,全球不同地区和人群的HAP和PMP,提供有关PMP引起的全球癌症负担的流行病学见解,并指导政策和研究方向。
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