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城市住宅绿化与癌症死亡率:在一个大型队列中评估空气污染的因果中介作用。

Urban residential greenness and cancer mortality: Evaluating the causal mediation role of air pollution in a large cohort.

机构信息

Qingdao Hospital, University of Health and Rehabilitation Sciences (Qingdao Municipal Hospital), Qingdao, 266000, Shandong, China; Department of Medical Statistics, School of Public Health & Research Center for Health Information & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China.

Department of Medical Statistics, School of Public Health & Research Center for Health Information & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China.

出版信息

Environ Pollut. 2024 Nov 1;360:124704. doi: 10.1016/j.envpol.2024.124704. Epub 2024 Aug 9.

Abstract

Evidence linking greenness to all-site and site-specific cancers remains limited, and the complex role of air pollution in this pathway is unclear. We aimed to fill these gaps by using a large cohort in southern China. A total of 654,115 individuals were recruited from 2009 to 2015 and followed-up until December 2020. We calculated the normalized difference vegetation index (NDVI) in a 500-m buffer around the participants' residences to represent the greenness exposure. Cox proportional-hazards models were used to evaluate the impact of greenness on the risk of all-site and site-specific cancer mortality. Additionally, we assessed both the mediation and interaction roles of air pollution (i.e., PM, PM, and NO) in the greenness-cancer association through a causal mediation analysis using a four-way decomposition method. Among the 577,643 participants, 10,088 cancer deaths were recorded. We found a 10% (95% CI: 5-16%) reduction in all-site cancer mortality when the NDVI increased from the lowest to the highest quartile. When stratified by cancer type, our estimates suggested 18% (95% CI: 8-27%) and 51% (95% CI: 16-71%) reductions in mortality due to respiratory system cancer and brain and nervous system cancer, respectively. For the above protective effect, a large proportion could be explained by the mediation (all-site cancer: 1.0-27.7%; respiratory system cancer: 1.2-32.3%; brain and nervous system cancer: 3.6-109.1%) and negative interaction (all-site cancer: 2.1-25.7%; respiratory system cancer: 2.0-25.7%; brain and nervous system cancer: not significant) effects of air pollution. We found that particulate matter (i.e., PM and PM) had a stronger causal mediation effect (25.0-109.1%) than NO (1.0-3.6%), while NO had a stronger interaction effect (25.7%) than particulate matter (2.0-2.8%). In summary, greenness was significantly beneficial in reducing the mortality of all-site, respiratory system, and brain and nervous system cancer in southern China, with the impact being modulated and mediated by air pollution.

摘要

将绿色环境与全癌种和特定部位癌症联系起来的证据仍然有限,空气污染在这一途径中的复杂作用尚不清楚。我们旨在通过中国南方的一个大型队列研究来填补这些空白。2009 年至 2015 年间共招募了 654115 名参与者,并随访至 2020 年 12 月。我们计算了参与者居住地周围 500 米缓冲区的归一化差异植被指数(NDVI),以代表绿色环境暴露情况。Cox 比例风险模型用于评估绿色环境对全癌种和特定部位癌症死亡率风险的影响。此外,我们还通过使用四路分解方法的因果中介分析来评估空气污染(即 PM、PM 和 NO)在绿色环境-癌症关联中的中介和交互作用。在 577643 名参与者中,记录了 10088 例癌症死亡。我们发现,当 NDVI 从最低四分位到最高四分位增加时,全癌种癌症死亡率降低了 10%(95%CI:5-16%)。按癌症类型分层,我们的估计表明,呼吸系统癌症和脑与神经系统癌症的死亡率分别降低了 18%(95%CI:8-27%)和 51%(95%CI:16-71%)。对于上述保护作用,很大一部分可以通过中介作用(全癌种癌症:1.0-27.7%;呼吸系统癌症:1.2-32.3%;脑与神经系统癌症:3.6-109.1%)和空气污染的负交互作用(全癌种癌症:2.1-25.7%;呼吸系统癌症:2.0-25.7%;脑与神经系统癌症:无统计学意义)来解释。我们发现,颗粒物(即 PM 和 PM)的因果中介作用(25.0-109.1%)强于 NO(1.0-3.6%),而 NO 的交互作用(25.7%)强于颗粒物(2.0-2.8%)。总之,在中国南方,绿色环境显著有益于降低全癌种、呼吸系统和脑与神经系统癌症的死亡率,其影响受到空气污染的调节和介导。

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