Suppr超能文献

邻里环境脆弱性因素在很大程度上导致了纽约市的新冠死亡病例和全因超额死亡率,而长期的空气污染物关联则较弱且各不相同。

Neighborhood environmental vulnerability factors strongly drove COVID-19 fatality and excess all-cause mortality in New York City, while long-term air pollutant associations were weak and varied.

作者信息

Azan Alexander, Kannoth Sneha, Zhang Cong, Shafiq Mehr, Chambers Earle C, Sheffield Perry E, Albrecht Sandra S, Thompson Azure, Baidal Jennifer Woo, Qian Min, Lovinsky-Desir Stephanie, Stingone Jeanette A

机构信息

NYU Grossman School of Medicine, Department of Population Health, New York, NY, USA.

Columbia University, Mailman School of Public Health, New York, NY, USA.

出版信息

Sci Total Environ. 2025 Aug 10;989:179874. doi: 10.1016/j.scitotenv.2025.179874. Epub 2025 Jun 14.

Abstract

PURPOSE

We evaluated associations among long-term air pollution exposure, neighborhood-level social and structural drivers of environmental vulnerability, and COVID-19 death during the first pandemic year in New York City (NYC).

METHODS

We triangulated findings across statistical approaches susceptible to different biases: a hospital-based COVID-19 fatality analysis using Cox proportional hazard models and two ZIP code-level, city-wide excess all-cause mortality analyses using periodic and linear regression models. We estimated chronic fine particulate matter (PM.), nitrogen dioxide (NO), and ozone (O) exposures as 11-year mean concentrations. Social and structural factors were integrated into a neighborhood environmental vulnerability index (NEVI), with higher scores indicating greater vulnerability.

RESULTS

Cox models demonstrated PM (0.88 [0.84, 0.93]) and NO (0.84 [0.79, 0.89]) exposures were weakly and negatively associated, while O (1.06 [1.04, 1.08]) exposure was weakly and positively associated with COVID-19 fatality. Linear regression models showed similar PM (-0.64 [-0.87, -0.41]), NO (-0.53 [-0.71, -0.34]), and O (0.55 [0.39, 0.71]) associations with excess all-cause mortality. NEVI scores were strongly and positively associated with COVID-19 fatality and excess all-cause mortality across air pollutant concentrations. Periodic regression models showed the highest monthly excess all-cause mortality rates per 10,000 were observed in ZIP codes with low PM (40.54) and NO (33.99) with high NEVI scores and high O (32.39) with high NEVI scores.

CONCLUSIONS

Inverse PM, NO, and COVID-19 death associations were unexpected, highlighting challenges in examining these associations in NYC. Future pandemic preparedness efforts should prioritize urban communities burdened by structurally rooted health vulnerabilities, even in areas with low air pollution exposure.

摘要

目的

我们评估了纽约市(NYC)大流行第一年期间长期空气污染暴露、社区层面环境脆弱性的社会和结构驱动因素与新冠病毒疾病(COVID-19)死亡之间的关联。

方法

我们通过对易受不同偏倚影响的统计方法进行三角测量来得出结果:使用Cox比例风险模型进行基于医院的COVID-19死亡率分析,以及使用周期性和线性回归模型进行两次全市范围的邮政编码级别全因超额死亡率分析。我们将慢性细颗粒物(PM₂.₅)、二氧化氮(NO₂)和臭氧(O₃)暴露估计为11年平均浓度。社会和结构因素被纳入社区环境脆弱性指数(NEVI),得分越高表明脆弱性越大。

结果

Cox模型显示,PM₂.₅(0.88 [0.84, 0.93])和NO₂(0.84 [0.79, 0.89])暴露与COVID-19死亡呈弱负相关,而O₃(1.06 [1.04, 1.08])暴露与COVID-19死亡呈弱正相关。线性回归模型显示,PM₂.₅(-0.64 [-0.87, -0.41])、NO₂(-0.53 [-0.71, -0.34])和O₃(0.55 [0.39, 0.71])与全因超额死亡率有类似的关联。在所有空气污染物浓度范围内,NEVI得分与COVID-19死亡和全因超额死亡率呈强正相关。周期性回归模型显示,在PM₂.₅(40.54)和NO₂(33.99)浓度低且NEVI得分高以及O₃(32.39)浓度高且NEVI得分高的邮政编码区域,每10000人的月度全因超额死亡率最高。

结论

PM₂.₅、NO₂与COVID-19死亡之间的负相关出乎意料,凸显了在纽约市研究这些关联时面临的挑战。未来应对疫情的准备工作应优先考虑那些因结构性健康脆弱性而负担沉重的城市社区,即使在空气污染暴露较低的地区。

相似文献

本文引用的文献

3
Differences in cellular and molecular processes in exposure to PM and O.暴露于 PM 和 O 中细胞和分子过程的差异。
Environ Int. 2024 Oct;192:109052. doi: 10.1016/j.envint.2024.109052. Epub 2024 Oct 9.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验