Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, the Netherlands.
Institute for Risk Assessment Sciences, Utrecht University, the Netherlands.
Res Rep Health Eff Inst. 2023 May;2016(213):1-53.
Much of what is currently known about the adverse effects of ambient air pollution comes from studies conducted in high-income regions, with relatively low air pollution levels. The aim of the current project is to examine the relationship between exposure to ambient air pollution (as predicted from satellite-based models) and all-cause and cause-specific mortality in several Asian cohorts.
Cohorts were recruited from the Asia Cohort Consortium (ACC). The geocoded residences of participants were assigned levels of ambient particulate material with aerodynamic diameter of 2.5 μm or less (PM) and nitrogen dioxide (NO) utilizing global satellite-derived models and assigned for the year of enrollment (or closest available year). The association between ambient exposure and mortality was established with Cox proportional hazard models, after adjustment for common confounders. Both single- and two-pollutant models were generated. Model robustness was evaluated, and hazard ratios were calculated for each cohort separately and combined via random effect meta-analysis for pooled risk estimates.
Six cohort studies from the ACC participated: the Community-based Cancer Screening Program (CBCSCP, Taiwan), the Golestan Cohort Study (Iran), the Health Effects for Arsenic Longitudinal Study (HEALS, Bangladesh), the Japan Public Health Center-based Prospective Study (JPHC), the Korean Multi-center Cancer Cohort Study (KMCC), and the Mumbai Cohort Study (MCS, India). The cohorts represented over 340,000 participants.
Mean exposures to PM ranged from 8 to 58 μg/m. Mean exposures to NO ranged from 7 to 23 ppb. For PM, a positive, borderline nonsignificant relationship was observed between PM and cardiovascular mortality. Other relationships with PM tended toward the null in meta-analysis. For NO, an overall positive relationship was observed between exposure to NO and all cancers and lung cancer. A borderline association between NO and nonmalignant lung disease was also observed. The findings within individual cohorts remained consistent across a variety of subgroups and alternative analyses, including two-pollutant models.
In a pooled examination of cohort studies across Asia, ambient PM exposure appears to be associated with an increased risk of cardiovascular mortality and ambient NO exposure is associated with an increased cancer (and lung cancer) mortality. This project has shown that satellite-derived models of pollution can be used in examinations of mortality risk in areas with either incomplete or missing air pollution monitoring.
目前关于环境空气污染的不良影响的大部分知识来自于在高收入地区进行的研究,这些地区的空气污染水平相对较低。本项目的目的是研究暴露于环境空气污染(根据基于卫星的模型预测)与几个亚洲队列的全因和特定原因死亡率之间的关系。
队列是从亚洲队列联盟(ACC)招募的。参与者的地理位置被分配了利用全球卫星衍生模型预测的水平的环境颗粒物(PM)和二氧化氮(NO),并为入组年份(或最接近的可用年份)赋值。利用 Cox 比例风险模型建立环境暴露与死亡率之间的关联,调整常见混杂因素后进行分析。生成了单污染物和双污染物模型。评估了模型的稳健性,并对每个队列分别进行了危险比计算,并通过随机效应荟萃分析对 pooled risk estimates 进行了合并。
ACC 有六个队列研究参与:社区癌症筛查计划(CBCSCP,台湾)、戈勒斯坦队列研究(伊朗)、砷纵向研究的健康影响(HEALS,孟加拉国)、日本公共卫生中心前瞻性研究(JPHC)、韩国多中心癌症队列研究(KMCC)和孟买队列研究(MCS,印度)。这些队列代表了超过 340000 名参与者。
PM 的平均暴露量范围为 8 至 58 μg/m³。NO 的平均暴露量范围为 7 至 23 ppb。对于 PM,PM 与心血管死亡率之间存在正相关关系,但无统计学意义。PM 的其他关系倾向于在荟萃分析中为零。对于 NO,观察到暴露于 NO 与所有癌症和肺癌之间存在正相关关系。还观察到 NO 与非恶性肺部疾病之间的边缘关联。在各种亚组和替代分析中,包括双污染物模型,个体队列中的发现结果是一致的。
在对亚洲队列研究的综合研究中,环境 PM 暴露似乎与心血管死亡率增加相关,而环境 NO 暴露与癌症(和肺癌)死亡率增加相关。本项目表明,在空气污染监测不完全或缺失的地区,利用污染卫星模型可以用于死亡率风险的研究。