State Key Laboratory of Reproductive Medicine and Offspring Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China; Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
J Hazard Mater. 2024 Aug 15;475:134861. doi: 10.1016/j.jhazmat.2024.134861. Epub 2024 Jun 8.
Effect modification of integrated neighborhood environment on associations of air pollution with mortality remained unclear. We analyzed data from UK biobank prospective study (n = 421,650, median 12.5 years follow-up) to examine disparities of mortality risk associated with air pollution among varied neighborhood settings. Fine particulate matter (PM), PM and nitrogen dioxide (NO) were measured and assigned to each participants' address. Diverse ecological and societal settings of neighborhoods were integrated with principal component analysis and categorized into disadvantaged, intermediate and advantaged levels. We estimated mortality risk associated with air pollution across diverse neighborhoods using Cox regression. We calculated community-level proportions of mortality attributable to air pollutants. There was evidence of higher all-cause and respiratory disease mortality risk associated with PM and NO among those in disadvantaged neighborhoods. In disadvantaged communities, air pollutants explained larger proportions of deaths and such disparities persisted over past decades. Across 2010-2021, reducing PM and NO to 10 μg/m (World Health Organization limits) would save 87,000 (52,000-120,000) and 91,000 (37,000-145,000) deaths of populations aged ≥ 40 years, with 150 000 deaths occurred in disadvantaged neighborhood settings. These findings suggested that disadvantaged neighborhoods can exacerbate mortality risk associated with air pollution.
综合邻里环境对空气污染与死亡率关联的修饰作用尚不清楚。我们分析了英国生物库前瞻性研究的数据(n=421650,中位随访时间 12.5 年),以研究在不同邻里环境中与空气污染相关的死亡率风险差异。细颗粒物(PM)、PM 和二氧化氮(NO)进行了测量,并分配给每个参与者的地址。通过主成分分析将邻里的各种生态和社会环境综合起来,并分为劣势、中等和优势水平。我们使用 Cox 回归估计了不同邻里环境中与空气污染相关的死亡率风险。我们计算了归因于空气污染物的社区级死亡率比例。在劣势社区中,PM 和 NO 与全因和呼吸道疾病死亡率风险升高有关。在劣势社区中,空气污染物解释了更多的死亡比例,而且这种差异持续了几十年。在 2010-2021 年期间,将 PM 和 NO 减少到 10μg/m(世界卫生组织的限值)将挽救 87000(52000-120000)和 91000(37000-145000)名≥40 岁人群的死亡,其中 150000 人死于劣势社区环境。这些发现表明,劣势社区可能会加剧与空气污染相关的死亡率风险。