External exposome and all-cause mortality in European cohorts: the EXPANSE project.

Frontiers in epidemiology Pub Date : 2024-05-28 eCollection Date: 2024-01-01 DOI:10.3389/fepid.2024.1327218
Federica Nobile, Konstantina Dimakopoulou, Christofer Åström, Fabián Coloma, Payam Dadvand, Jeroen de Bont, Kees de Hoogh, Dorina Ibi, Klea Katsouyanni, Petter Ljungman, Erik Melén, Mark Nieuwenhuijsen, Regina Pickford, Johan Nilsson Sommar, Cathryn Tonne, Roel C H Vermeulen, Danielle Vienneau, Jelle J Vlaanderen, Kathrin Wolf, Evangelia Samoli, Massimo Stafoggia
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引用次数: 0

Abstract

Background: Many studies reported associations between long-term exposure to environmental factors and mortality; however, little is known on the combined effects of these factors and health. We aimed to evaluate the association between external exposome and all-cause mortality in large administrative and traditional adult cohorts in Europe.

Methods: Data from six administrative cohorts (Catalonia, Greece, Rome, Sweden, Switzerland and the Netherlands, totaling 27,913,545 subjects) and three traditional adult cohorts (CEANS-Sweden, EPIC-NL-the Netherlands, KORA-Germany, totaling 57,653 participants) were included. Multiple exposures were assigned at the residential addresses, and were divided into three a priori defined domains: (1) air pollution [fine particulate matter (PM2.5), nitrogen dioxide (NO₂), black carbon (BC) and warm-season Ozone (warm-O3)]; (2) land/built environment (Normalized Difference Vegetation Index-NDVI, impervious surfaces, and distance to water); (3) air temperature (cold- and warm-season mean and standard deviation). Each domain was synthesized through Principal Component Analysis (PCA), with the aim of explaining at least 80% of its variability. Cox proportional-hazards regression models were applied and the total risk of the external exposome was estimated through the Cumulative Risk Index (CRI). The estimates were adjusted for individual- and area-level covariates.

Results: More than 205 million person-years at risk and more than 3.2 million deaths were analyzed. In single-component models, IQR increases of the first principal component of the air pollution domain were associated with higher mortality [HRs ranging from 1.011 (95% CI: 1.005-1.018) for the Rome cohort to 1.076 (1.071-1.081) for the Swedish cohort]. In contrast, lower levels of the first principal component of the land/built environment domain, pointing to reduced vegetation and higher percentage of impervious surfaces, were associated with higher risks. Finally, the CRI of external exposome increased mortality for almost all cohorts. The associations found in the traditional adult cohorts were generally consistent with the results from the administrative ones, albeit without reaching statistical significance.

Discussion: Various components of the external exposome, analyzed individually or in combination, were associated with increased mortality across European cohorts. This sets the stage for future research on the connections between various exposure patterns and human health, aiding in the planning of healthier cities.

欧洲队列中的外部暴露体和全因死亡率:EXPANSE 项目。
背景:许多研究报告了长期暴露于环境因素与死亡率之间的关系;然而,人们对这些因素与健康的综合影响知之甚少。我们的目的是评估欧洲大型行政和传统成人队列中外部暴露组与全因死亡率之间的关系:我们纳入了来自六个行政队列(加泰罗尼亚、希腊、罗马、瑞典、瑞士和荷兰,共计 27,913,545 名受试者)和三个传统成人队列(CEANS-瑞典、EPIC-NL-荷兰、KORA-德国,共计 57,653 名参与者)的数据。多重暴露被分配到居住地址,并分为三个先验定义域:(1) 空气污染 [细颗粒物 (PM2.5)、二氧化氮 (NO₂)、黑碳 (BC) 和暖季臭氧 (warm-O3)];(2) 土地/建筑环境 (归一化差异植被指数 (NDVI)、不透水表面和与水的距离);(3) 空气温度 (冷季和暖季平均值和标准偏差)。通过主成分分析(PCA)对每个域进行综合,目的是解释至少 80% 的变异性。采用 Cox 比例危害回归模型,并通过累积风险指数(CRI)估算外部暴露组的总风险。这些估计值根据个人和地区层面的协变量进行了调整:结果:分析了超过 2.05 亿人年的风险和超过 320 万人的死亡。在单分量模型中,空气污染域第一个主分量的 IQR 增加与死亡率升高有关[罗马队列的 HR 值为 1.011(95% CI:1.005-1.018),瑞典队列的 HR 值为 1.076(1.071-1.081)]。与此相反,土地/建筑环境域的第一个主成分水平较低,表明植被减少和不透水地面的百分比较高,与较高的风险有关。最后,在几乎所有队列中,外部暴露组的 CRI 都会增加死亡率。在传统成人队列中发现的关联与行政队列的结果基本一致,尽管没有达到统计学意义:讨论:单独或综合分析外部暴露组的各种成分,都与欧洲队列中死亡率的增加有关。这为今后研究各种暴露模式与人类健康之间的联系奠定了基础,有助于规划更健康的城市。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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