Long-term exposure to ultrafine particles and natural and cause-specific mortality

Article Environmental Sciences

Long-term exposure to low ambient air pollution concentrations and mortality among 28 million people: results from seven large European cohorts within the ELAPSE project

Massimo Stafoggia et al.

Lancet Planetary Health (2022)

Article Environmental Sciences

Mortality risk and long-term exposure to ultrafine particles and primary fine particle components in a national US Cohort

Zachari A. Pond et al.

Summary: The objective of this study was to estimate the associations between long-term exposure to ultrafine particles (UFP) and primary PM2.5 components and all-cause, cardiopulmonary, and cancer mortality. The results showed significant associations between UFP and all-cause and cancer mortality, while the associations of organic PM2.5 components with mortality were independent of total PM2.5 mass exposure. PM2.5 mass was found to be a robust predictor of air pollution related mortality, supporting current regulatory policies.

ENVIRONMENT INTERNATIONAL (2022)

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Article Environmental Sciences

Comparison of associations between mortality and air pollution exposure estimated with a hybrid, a land-use regression and a dispersion model

Jochem O. Klompmaker et al.

Summary: This study evaluated associations of air pollution exposure with natural cause and cause-specific mortality based on different exposure assessment methods. The results showed that air pollution was positively associated with respiratory disease and lung cancer mortality, with variations in the strength of associations among the different exposure models.

ENVIRONMENT INTERNATIONAL (2021)

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Article Environmental Sciences

Modelling nationwide spatial variation of ultrafine particles based on mobile monitoring

Jules Kerckhoffs et al.

Summary: This study developed robust nation-wide models for long-term UFP exposure through combining mobile monitoring with long-term regional background monitoring. Minor differences in predictive performance between different algorithms were found, but the deconvolution approach is considered more physically realistic. The models will be applied in Dutch nation-wide health studies.

ENVIRONMENT INTERNATIONAL (2021)

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Article Environmental Sciences