Source-Specific Air Pollution Including Ultrafine Particles and Risk of Myocardial Infarction:A Nationwide Cohort Study from Denmark

BACKGROUND: Air pollution is negatively associated with cardiovascular health. Impediments to efficient regulation include lack of knowledge about which sources of air pollution contributes most to health burden and few studies on effects of the potentially more potent ultrafine particles (UFP). OBJECTIVE: The authors aimed to investigate myocardial infarction (MI) morbidity and specific types and sources of air pollution. METHODS: We identified all persons living in Denmark in the period 2005–2017, age &gt;50 y and never diagnosed with MI. We quantified 5-y running time-weighted mean concentrations of air pollution at residencies, both total and apportioned to traffic and nontraffic sources. We evaluated particulate matter (PM) with aerodynamic diameter ≤2:5 lm (PM 2:5), &lt;0:1 lm (UFP), elemental carbon (EC), and nitrogen dioxide (NO 2). We used Cox pro-portional hazards models, with adjustment for time-varying exposures, and personal and area-level demographic and socioeconomic covariates from high-quality administrative registers. RESULTS: In this nationwide cohort of 1,964,702 persons (with 18 million person-years of follow-up and 71,285 cases of MI), UFP and PM 2:5 were associated with increased risk of MI with hazard ratios (HRs) per interquartile range (IQR) of 1.040 [95% confidence interval (CI): 1.025, 1.055] and 1.053 (95% CI: 1.035, 1.071), respectively. HRs per IQR of UFP and PM 2:5 from nontraffic sources were similar to the total (1.034 and 1.051), whereas HRs for UFP and PM 2:5 from traffic sources were smaller (1.011 and 1.011). The HR for EC from traffic sources was 1.013 (95% CI: 1.003, 1.023). NO 2 from nontraffic sources was associated with MI (HR = 1:048; 95% CI: 1.034, 1.062) but not from traffic sources. In general, nontraffic sources contributed more to total air pollution levels than national traffic sources. CONCLUSIONS: PM 2:5 and UFP from traffic and nontraffic sources were associated with increased risk of MI, with nontraffic sources being the domi-nant source of exposure and morbidity. https://doi.org/10.1289/EHP10556.</p

Residential exposure to PM_2.5 components and risk of childhood non-hodgkin lymphoma in Denmark:A nationwide register-based case-control study

In a recent study, we observed an increased risk of childhood non-Hodgkin lymphoma (NHL) associated with exposure to fine atmospheric particulate matter (PM2.5) and black carbon (BC). In this nationwide register-based case-control study, we focus on specific components of PM2.5 in relation to childhood NHL in Denmark (1981–2013) by identifying all incidents of childhood NHL cases in the Danish Cancer Registry (n = 170) and four (cancer-free) randomly selected controls matched by date of birth and sex. We applied PM2.5 concentrations and the following sub-components: secondary organic aerosols (SOA), secondary inorganic aerosols (SIA; i.e., NO3−, NH4+ and SO42−), BC, organic carbon (OC) and sea salt. We calculated a time-weighted exposure average from birth to index-date at all addresses. Odds ratios (ORs) were adjusted for register-based socio-demographic variables. We observed adjusted ORs and 95% confidence intervals (95% CI) of 2.05 (1.10, 3.83) per interquartile range (IQR, 4.83 µg/m3) PM2.5 and 1.73 (0.68, 4.41) per IQR (3.71 µg/m3) SIA, 0.95 (0.71, 1.29) per IQR (0.05 µg/m3) SOA, 1.22 (1.02, 1.46) per IQR (0.39 µg/m3) BC, 1.02 (0.83, 1.26) per IQR (0.56 µg/m3) OC and 1.01 (0.79, 1.30) per IQR (0.87 µg/m3) sea salt, respectively. The estimates were attenuated after adjustment for PM2.5, whereas the OR for PM2.5 remained increased regardless of adjustment for specific components. The findings indicate that the previously observed relation between PM2.5 and childhood NHL may be related to BC (as reported in our previous study) but also partly to SIA, but the role of specific chemical components of PM2.5 remains ambiguous

Corrigendum to "Europe-wide air pollution modeling from 2000 to 2019 using geographically weighted regression" [Environ. Int. 168 (2022) 107485]

The authors regret an error in the colour palette in legends and maps in Fig 2 and Fig 3 in the original published article. Revised figures (Fig 2 & Fig 3) are shown below. The correct statement in Line 6 in the 3rd paragraph of Section 3.2 should be written as follows: In the early 2000s, the PM 10 concentrations were above 15 µg/m 3 in all regions except in the Alps, Ireland, and northern Europe. In the recent 5 years, only the northern part of Italy, eastern Europe, and the Balkans had higher PM 10 concentrations (>20 µg/m 3) than the rest of Europe. The authors would like to apologise for any inconvenience caused

Europe-wide air pollution modeling from 2000 to 2019 using geographically weighted regression

Previous European land-use regression (LUR) models assumed fixed linear relationships between air pollution concentrations and predictors such as traffic and land use. We evaluated whether including spatially-varying relationships could improve European LUR models by using geographically weighted regression (GWR) and random forest (RF). We built separate LUR models for each year from 2000 to 2019 for NO2, O3, PM2.5 and PM10 using annual average monitoring observations across Europe. Potential predictors included satellite retrievals, chemical transport model estimates and land-use variables. Supervised linear regression (SLR) was used to select predictors, and then GWR estimated the potentially spatially-varying coefficients. We developed multi-year models using geographically and temporally weighted regression (GTWR). Five-fold cross-validation per year showed that GWR and GTWR explained similar spatial variations in annual average concentrations (average R2 = NO2: 0.66; O3: 0.58; PM10: 0.62; PM2.5: 0.77), which are better than SLR (average R2 = NO2: 0.61; O3: 0.46; PM10: 0.51; PM2.5: 0.75) and RF (average R2 = NO2: 0.64; O3: 0.53; PM10: 0.56; PM2.5: 0.67). The GTWR predictions and a previously-used method of back-extrapolating 2010 model predictions using CTM were overall highly correlated (R2 > 0.8) for all pollutants. Including spatially-varying relationships using GWR modestly improved European air pollution annual LUR models, allowing time-varying exposure-health risk models

Long-term exposure to low-level air pollution and greenness and mortality in Northern Europe. The Life-GAP project

Copyright © 2023 The Author(s). Published by Elsevier Ltd.. All rights reserved.Background: Air pollution has been linked to mortality, but there are few studies examining the association with different exposure time windows spanning across several decades. The evidence for the effects of green space and mortality is contradictory. Objective: We investigated all-cause mortality in relation to exposure to particulate matter (PM2.5 and PM10), black carbon (BC), nitrogen dioxide (NO2), ozone (O3) and greenness (normalized difference vegetation index - NDVI) across different exposure time windows. Methods: The exposure assessment was based on a combination of the Danish Eulerian Hemispheric Model and the Urban Background Model for the years 1990, 2000 and 2010. The analysis included a complete case dataset with 9,135 participants from the third Respiratory Health in Northern Europe study (RHINE III), aged 40–65 years in 2010, with mortality follow-up to 2021. We performed Cox proportional hazard models, adjusting for potential confounders. Results: Altogether, 327 (3.6 %) persons died in the period 2010–2021. Increased exposures in 1990 of PM2.5, PM10, BC and NO2 were associated with increased all-cause mortality hazard ratios of 1.40 (95 % CI1.04–1.87 per 5 μg/m3), 1.33 (95 % CI: 1.02–1.74 per 10 μg/m3), 1.16 (95 % CI: 0.98–1.38 per 0.4 μg/m3) and 1.17 (95 % CI: 0.92–1.50 per 10 μg/m3), respectively. No statistically significant associations were observed between air pollution and mortality in other time windows. O3 showed an inverse association with mortality, while no association was observed between greenness and mortality. Adjusting for NDVI increased the hazard ratios for PM2.5, PM10, BC and NO2 exposures in 1990. We did not find significant interactions between greenness and air pollution metrics. Conclusion: Long term exposure to even low levels of air pollution is associated with mortality. Opening up for a long latency period, our findings indicate that air pollution exposures over time may be even more harmful than anticipated.Peer reviewe

Summer Algal Blooms in a Coastal Ecosystem. The Role of Atmospheric Deposition versus Entrainment Fluxes.

Abstract not availableJRC.H-Institute for environment and sustainability (Ispra

Air Quality For All : Nordic air quality web-conference

A group of Nordic air quality researchers organised 10-11th of June 2020 a web-conference on Nordic air quality research for civil servants and the general audience. The name of the conference was Air Quality For All - A Nordic air quality conference (AQ4ALL), and it included an overview of research from three air quality research programmes with active Nordic participation. Presentations were made by researchers from the Swedish Clean Air and Climate (SCAC) research programme, the Nordic-WelfAir (NWA) research project, as well as the EU-funded project Action on Black Carbon in the Arctic (EUA-BCA). The following themes were discussed:• Air quality effects on the Nordic welfare system, • Nordic air pollution and the Arctic climate – effects and solutions, • Air pollution effects on public health and the environmentThis report gives an overview of the key messages from the projects