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Liu J, Ye Z, Christensen JH, Dong S, Geels C, Brandt J, Nenes A, Yuan Y, Im U. Impact of anthropogenic emission control in reducing future PM 2.5 concentrations and the related oxidative potential across different regions of China. Sci Total Environ 2024; 918:170638. [PMID: 38316299 DOI: 10.1016/j.scitotenv.2024.170638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 01/29/2024] [Accepted: 01/31/2024] [Indexed: 02/07/2024]
Abstract
Affected by both future anthropogenic emissions and climate change, future prediction of PM2.5 and its Oxidative Potential (OP) distribution is a significant challenge, especially in developing countries like China. To overcome this challenge, we estimated historical and future PM2.5 concentrations and associated OP using the Danish Eulerian Hemispheric Model (DEHM) system with meteorological input from WRF weather forecast model. Considering different future socio-economic pathways and emission scenario assumptions, we quantified how the contribution from various anthropogenic emission sectors will change under these scenarios. Results show that compared to the CESM_SSP2-4.5_CLE scenario (based on moderate radiative forcing and Current Legislation Emission), the CESM_SSP1-2.6_MFR scenario (based on sustainability development and Maximum Feasible Reductions) is projected to yield greater environmental and health benefits in the future. Under the CESM_SSP1-2.6_MFR scenario, annual average PM2.5 concentrations (OP) are expected to decrease to 30 (0.8 nmolmin-1m-3) in almost all regions by 2030, which will be 65 % (67 %) lower than that in 2010. From a long-term perspective, it is anticipated that OP in the Fen-Wei Plain region will experience the maximum reduction (82.6 %) from 2010 to 2049. Largely benefiting from the effective control of PM2.5 in the region, it has decreased by 82.1 %. Crucially, once emission reduction measures reach a certain level (in 2040), further reductions become less significant. This study also emphasized the significant role of secondary aerosol formation and biomass-burning sources in influencing OP during both historical and future periods. In different scenarios, the reduction range of OP from 2010 to 2049 is estimated to be between 71 % and 85 % by controlling precursor emissions involved in secondary aerosol formation and emissions from biomass burning. Results indicate that strengthening the control of anthropogenic emissions in various regions are key to achieving air quality targets and safeguarding human health in the future.
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Affiliation(s)
- Jiemei Liu
- Key Laboratory of Aerospace Thermophysics, Ministry of Industry and Information Technology, Harbin Institute of Technology, 92 West Dazhi Street, Harbin 150001, China; Aarhus University, Department of Environmental Science/Interdisciplinary Centre for Climate Change, Frederiksborgvej 399, Roskilde, Denmark
| | - Zhuyun Ye
- Aarhus University, Department of Environmental Science/Interdisciplinary Centre for Climate Change, Frederiksborgvej 399, Roskilde, Denmark
| | - Jesper H Christensen
- Aarhus University, Department of Environmental Science/Interdisciplinary Centre for Climate Change, Frederiksborgvej 399, Roskilde, Denmark
| | - Shikui Dong
- Key Laboratory of Aerospace Thermophysics, Ministry of Industry and Information Technology, Harbin Institute of Technology, 92 West Dazhi Street, Harbin 150001, China
| | - Camilla Geels
- Aarhus University, Department of Environmental Science/Interdisciplinary Centre for Climate Change, Frederiksborgvej 399, Roskilde, Denmark
| | - Jørgen Brandt
- Aarhus University, Department of Environmental Science/Interdisciplinary Centre for Climate Change, Frederiksborgvej 399, Roskilde, Denmark
| | - Athanasios Nenes
- Laboratory of Atmospheric Processes and Their Impacts, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland; Center for the Study of Air Quality and Climate Change, Foundation for Research and Technology Hellas (FORTH), Thessaloniki, Greece
| | - Yuan Yuan
- Key Laboratory of Aerospace Thermophysics, Ministry of Industry and Information Technology, Harbin Institute of Technology, 92 West Dazhi Street, Harbin 150001, China.
| | - Ulas Im
- Aarhus University, Department of Environmental Science/Interdisciplinary Centre for Climate Change, Frederiksborgvej 399, Roskilde, Denmark.
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Shen Y, de Hoogh K, Schmitz O, Clinton N, Tuxen-Bettman K, Brandt J, Christensen JH, Frohn LM, Geels C, Karssenberg D, Vermeulen R, Hoek G. Monthly average air pollution models using geographically weighted regression in Europe from 2000 to 2019. Sci Total Environ 2024; 918:170550. [PMID: 38320693 DOI: 10.1016/j.scitotenv.2024.170550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 01/02/2024] [Accepted: 01/27/2024] [Indexed: 02/12/2024]
Abstract
Detailed spatial models of monthly air pollution levels at a very fine spatial resolution (25 m) can help facilitate studies to explore critical time-windows of exposure at intermediate term. Seasonal changes in air pollution may affect both levels and spatial patterns of air pollution across Europe. We built Europe-wide land-use regression (LUR) models to estimate monthly concentrations of regulated air pollutants (NO2, O3, PM10 and PM2.5) between 2000 and 2019. Monthly average concentrations were collected from routine monitoring stations. Including both monthly-fixed and -varying spatial variables, we used supervised linear regression (SLR) to select predictors and geographically weighted regression (GWR) to estimate spatially-varying regression coefficients for each month. Model performance was assessed with 5-fold cross-validation (CV). We also compared the performance of the monthly LUR models with monthly adjusted concentrations. Results revealed significant monthly variations in both estimates and model structure, particularly for O3, PM10, and PM2.5. The 5-fold CV showed generally good performance of the monthly GWR models across months and years (5-fold CV R2: 0.31-0.66 for NO2, 0.4-0.79 for O3, 0.4-0.78 for PM10, 0.46-0.87 for PM2.5). Monthly GWR models slightly outperformed monthly-adjusted models. Correlations between monthly GWR model were generally moderate to high (Pearson correlation >0.6). In conclusion, we are the first to develop robust monthly LUR models for air pollution in Europe. These monthly LUR models, at a 25 m spatial resolution, enhance epidemiologists to better characterize Europe-wide intermediate-term health effects related to air pollution, facilitating investigations into critical exposure time windows in birth cohort studies.
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Affiliation(s)
- Youchen Shen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands.
| | - Kees de Hoogh
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands; Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Oliver Schmitz
- Department of Physical Geography, Faculty of Geosciences, Utrecht University, Utrecht, the Netherlands
| | - Nick Clinton
- Google, Inc, Mountain View, California, United States
| | | | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | | | - Lise M Frohn
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Camilla Geels
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Derek Karssenberg
- Department of Physical Geography, Faculty of Geosciences, Utrecht University, Utrecht, the Netherlands
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands; Julius Centre for Health Sciences and Primary Care, University Medical Centre, Utrecht University, Utrecht, the Netherlands
| | - Gerard Hoek
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
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Poulsen AH, Sørensen M, Hvidtfeldt UA, Ketzel M, Christensen JH, Brandt J, Frohn LM, Massling A, Khan J, Münzel T, Raaschou-Nielsen O. Concomitant exposure to air pollution, green space and noise, and risk of myocardial infarction: a cohort study from Denmark. Eur J Prev Cardiol 2024; 31:131-141. [PMID: 37738461 DOI: 10.1093/eurjpc/zwad306] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 08/28/2023] [Accepted: 09/15/2023] [Indexed: 09/24/2023]
Abstract
AIMS The three correlated environmental exposures (air pollution, road traffic noise, and green space) have all been associated with the risk of myocardial infarction (MI). The present study aimed to analyse their independent and cumulative association with MI. METHODS AND RESULTS In a cohort of all Danes aged 50 or older in the period 2005-17, 5-year time-weighted average exposure to fine particles (PM2.5), ultrafine particles, elemental carbon, nitrogen dioxide (NO2), and road traffic noise at the most and least exposed façades of residence was estimated. Green space around residences was estimated from land use maps. Cox proportional hazard models were used to estimate hazard ratios (HRs) and 95% confidence interval (CI), and cumulative risk indices (CRIs) were calculated. All expressed per interquartile range. Models were adjusted for both individual and neighbourhood-level socio-demographic covariates. The cohort included 1 964 702 persons. During follow-up, 71 285 developed MI. In single-exposure models, all exposures were associated with an increased risk of MI. In multi-pollutant analyses, an independent association with risk of MI was observed for PM2.5 (HR: 1.026; 95% CI: 1.002-1.050), noise at most exposed façade (HR: 1.024; 95% CI: 1.012-1.035), and lack of green space within 150 m of residence (HR: 1.018; 95% CI: 1.010-1.027). All three factors contributed significantly to the CRI (1.089; 95% CI: 1.076-1.101). CONCLUSION In a nationwide cohort study, air pollution, noise, and lack of green space were all independently associated with an increased risk of MI. The air pollutant PM2.5 was closest associated with MI risk.
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Affiliation(s)
- Aslak Harbo Poulsen
- Work, Environment and Cancer, Danish Cancer Society Research Center, Strandboulevarden 49, Copenhagen 2100, Denmark
| | - Mette Sørensen
- Work, Environment and Cancer, Danish Cancer Society Research Center, Strandboulevarden 49, Copenhagen 2100, Denmark
- Department of Natural Science and Environment, Roskilde University, Roskilde, Denmark
| | - Ulla A Hvidtfeldt
- Work, Environment and Cancer, Danish Cancer Society Research Center, Strandboulevarden 49, Copenhagen 2100, Denmark
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
- Department of Civil and Environmental Engineering, Global Centre for Clean Air Research (GCARE), Surrey ,UK
| | - Jesper H Christensen
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
- iClimate-Interdisciplinary Centre for Climate Change, Aarhus University, Roskilde, Denmark
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
- iClimate-Interdisciplinary Centre for Climate Change, Aarhus University, Roskilde, Denmark
| | - Lise M Frohn
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
- iClimate-Interdisciplinary Centre for Climate Change, Aarhus University, Roskilde, Denmark
| | - Andreas Massling
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Jibran Khan
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
- Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, Roskilde, Denmark
| | - Thomas Münzel
- Center for Cardiology, Cardiology I, University Medical Center Mainz of the Johannes Gutenberg University, Mainz, Germany
| | - Ole Raaschou-Nielsen
- Work, Environment and Cancer, Danish Cancer Society Research Center, Strandboulevarden 49, Copenhagen 2100, Denmark
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
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Kaspersen KA, Antonsen S, Horsdal HT, Kjerulff B, Brandt J, Geels C, Christensen JH, Frohn LM, Sabel CE, Dinh KM, Hertel O, Sigsgaard T, Pedersen CB, Erikstrup C. Exposure to air pollution and risk of respiratory tract infections in the adult Danish population-a nationwide study. Clin Microbiol Infect 2024; 30:122-129. [PMID: 37858866 DOI: 10.1016/j.cmi.2023.10.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 09/22/2023] [Accepted: 10/12/2023] [Indexed: 10/21/2023]
Abstract
OBJECTIVES The association between air pollution and risk of respiratory tract infection (RTI) in adults needs to be clarified in settings with low to moderate levels of air pollution. We investigated this in the Danish population between 2004 and 2016. METHODS We included 3 653 490 persons aged 18-64 years in a nested case-control study. Exposure was defined as the average daily concentration at the individual's residential address of CO, NOX, NO2, O3, SO2, NH3, PPM2.5, black carbon, organic carbon, mineral dust, sea salt, secondary inorganic aerosols, SO42-, NO3-, NH4+, secondary organic aerosols, PM2.5, and PM10 during a 3-month exposure window. RTIs were defined by hospitalization for RTIs. Incidence rate ratios (IRRs) and 95% CIs were estimated comparing highest with lowest decile of exposure using conditional logistic regression models. RESULTS In total, 188 439 incident cases of RTI were identified. Exposure to most air pollutants was positively associated with risk of RTI. For example, NO2 showed an IRR of 1.52 (CI: 1.48-1.55), and PM2.5 showed an IRR of 1.45 (CI: 1.40-1.50). In contrast, exposure to sea salt, PM10, NH3, and O3 was negatively associated with a risk of RTIs. DISCUSSION In this nationwide study comprising adults, exposure to air pollution was associated with risk of RTIs and subgroups hereof. Sea salt, PM10, NH3, and O3 may be proxies for rural areas, as the levels of these species in Denmark are higher near the western coastlines and/or in rural areas with fewer combustion sources.
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Affiliation(s)
- Kathrine A Kaspersen
- Department of Clinical Immunology, Aarhus University Hospital, Aarhus N, Denmark; Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, Aarhus C, Denmark.
| | - Sussie Antonsen
- Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, Aarhus C, Denmark; National Centre for Register-based Research, Aarhus BSS, Aarhus University, Aarhus V, Denmark; Centre for Integrated Register-based Research, Aarhus University, Aarhus, Denmark
| | - Henriette T Horsdal
- Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, Aarhus C, Denmark; National Centre for Register-based Research, Aarhus BSS, Aarhus University, Aarhus V, Denmark
| | - Bertram Kjerulff
- Department of Clinical Immunology, Aarhus University Hospital, Aarhus N, Denmark; Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, Aarhus C, Denmark
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; iClimate - Interdisciplinary Centre for Climate Change, Aarhus University, Roskilde, Denmark
| | - Camilla Geels
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; iClimate - Interdisciplinary Centre for Climate Change, Aarhus University, Roskilde, Denmark
| | | | - Lise M Frohn
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Clive E Sabel
- Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, Aarhus C, Denmark; Centre for Integrated Register-based Research, Aarhus University, Aarhus, Denmark; Department of Public Health, Aarhus University, Aarhus, Denmark; Health Research Institute, University of Canberra, Canberra, ACT, Australia
| | - Khoa M Dinh
- Department of Clinical Immunology, Aarhus University Hospital, Aarhus N, Denmark
| | - Ole Hertel
- Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, Aarhus C, Denmark; Department of Ecoscience, Aarhus University, Roskilde, Denmark
| | - Torben Sigsgaard
- Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, Aarhus C, Denmark; Centre for Integrated Register-based Research, Aarhus University, Aarhus, Denmark; Department of Public Health, Aarhus University, Aarhus, Denmark
| | - Carsten B Pedersen
- Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, Aarhus C, Denmark; National Centre for Register-based Research, Aarhus BSS, Aarhus University, Aarhus V, Denmark; Centre for Integrated Register-based Research, Aarhus University, Aarhus, Denmark
| | - Christian Erikstrup
- Department of Clinical Immunology, Aarhus University Hospital, Aarhus N, Denmark; Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, Aarhus C, Denmark; Department of Clinical Medicine, Aarhus University, Aarhus C, Denmark
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Kjerulff B, Thisted Horsdal H, Kaspersen K, Mikkelsen S, Manh Dinh K, Hørup Larsen M, Rye Ostrowski S, Ullum H, Sørensen E, Birger Pedersen O, Topholm Bruun M, René Nielsen K, Brandt J, Geels C, Frohn LM, Christensen JH, Sigsgaard T, Eric Sabel C, Bøcker Pedersen C, Erikstrup C. Medium term moderate to low-level air pollution exposure is associated with higher C-reactive protein among healthy Danish blood donors. Environ Res 2023; 233:116426. [PMID: 37336432 DOI: 10.1016/j.envres.2023.116426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Revised: 05/10/2023] [Accepted: 06/13/2023] [Indexed: 06/21/2023]
Abstract
Air pollution is a significant contributor to the global burden of disease with a plethora of associated health effects such as pulmonary and systemic inflammation. C-reactive protein (CRP) is associated with a wide range of diseases and is associated with several exposures. Studies on the effect of air pollution exposure on CRP levels in low to moderate pollution settings have shown inconsistent results. In this cross-sectional study high sensitivity CRP measurements on 18,463 Danish blood donors were linked to modelled air pollution data for NOx, NO2, O3, CO, SO2, NH3, mineral dust, black carbon, organic carbon, sea salt, secondary inorganic aerosols and its components, primary PM2.5, secondary organic aerosols, total PM2.5, and total PM10 at their residential address over the previous month. Associations were analysed using ordered logistic regression with CRP quartile as individuals outcome and air pollution exposure as scaled deciles. Analyses were adjusted for health related and socioeconomic covariates using health questionnaires and Danish register data. Exposure to different air pollution components was generally associated with higher CRP (odds ratio estimates ranging from 1.11 to 1.67), while exposure to a few air pollution components was associated with lower CRP. For example, exposure to NO2 increased the odds of high CRP 1.32-fold (95%CI 1.16-1.49), while exposure to NH3 decreased the odds of high CRP 0.81-fold (95%CI 0.73-0.89). This large study among healthy individuals found air pollution exposure to be associated with increased levels of CRP even in a setting with low to moderate air pollution levels.
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Affiliation(s)
- Bertram Kjerulff
- Department of Clinical Immunology, Aarhus University Hospital, DK-8200, Aarhus N, Denmark; Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, Denmark; Department of Clinical Medicine, Aarhus University, Denmark.
| | - Henriette Thisted Horsdal
- Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, Denmark; National Centre for Register-based Research, Aarhus BSS, Aarhus University, DK-8210, Aarhus V, Denmark
| | - Kathrine Kaspersen
- Department of Clinical Immunology, Aarhus University Hospital, DK-8200, Aarhus N, Denmark; Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, Denmark
| | - Susan Mikkelsen
- Department of Clinical Immunology, Aarhus University Hospital, DK-8200, Aarhus N, Denmark; Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, Denmark
| | - Khoa Manh Dinh
- Department of Clinical Immunology, Aarhus University Hospital, DK-8200, Aarhus N, Denmark
| | - Margit Hørup Larsen
- Dept. of Clinical Immunology, Copenhagen University Hospital, Rigshospitalet, Denmark
| | - Sisse Rye Ostrowski
- Dept. of Clinical Immunology, Copenhagen University Hospital, Rigshospitalet, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, Copenhagen University, Denmark
| | | | - Erik Sørensen
- Dept. of Clinical Immunology, Copenhagen University Hospital, Rigshospitalet, Denmark
| | - Ole Birger Pedersen
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, Copenhagen University, Denmark; Dept. of Clinical Immunology, Zealand University Hospital, Køge, Denmark
| | | | | | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, DK-4000, Roskilde, Denmark; IClimate - Interdisciplinary Centre for Climate Change, Aarhus University, DK-4000, Denmark
| | - Camilla Geels
- Department of Environmental Science, Aarhus University, DK-4000, Roskilde, Denmark; IClimate - Interdisciplinary Centre for Climate Change, Aarhus University, DK-4000, Denmark
| | - Lise M Frohn
- Department of Environmental Science, Aarhus University, DK-4000, Roskilde, Denmark; IClimate - Interdisciplinary Centre for Climate Change, Aarhus University, DK-4000, Denmark
| | - Jesper H Christensen
- Department of Environmental Science, Aarhus University, DK-4000, Roskilde, Denmark; IClimate - Interdisciplinary Centre for Climate Change, Aarhus University, DK-4000, Denmark
| | - Torben Sigsgaard
- Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, Denmark; Department of Public Health, Aarhus University, DK-8000, Aarhus, Denmark
| | - Clive Eric Sabel
- Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, Denmark; Department of Public Health, Aarhus University, DK-8000, Aarhus, Denmark
| | - Carsten Bøcker Pedersen
- Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, Denmark; National Centre for Register-based Research, Aarhus BSS, Aarhus University, DK-8210, Aarhus V, Denmark
| | - Christian Erikstrup
- Department of Clinical Immunology, Aarhus University Hospital, DK-8200, Aarhus N, Denmark; Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, Denmark; Department of Clinical Medicine, Aarhus University, Denmark
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Poulsen AH, Sørensen M, Hvidtfeldt UA, Christensen JH, Brandt J, Frohn LM, Ketzel M, Andersen C, Jensen SS, Münzel T, Raaschou-Nielsen O. Concomitant exposure to air pollution, green space, and noise and risk of stroke: a cohort study from Denmark. Lancet Reg Health Eur 2023; 31:100655. [PMID: 37265507 PMCID: PMC10230828 DOI: 10.1016/j.lanepe.2023.100655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 05/10/2023] [Accepted: 05/10/2023] [Indexed: 06/03/2023]
Abstract
Background Air pollution, road traffic noise, and green space are correlated factors, associated with risk of stroke. We investigated their independent relationship with stroke in multi-exposure analyses and estimated their cumulative stroke burden. Methods For all persons, ≥50 years of age and living in Denmark from 2005 to 2017, we established complete address histories and estimated running 5-year mean exposure to fine particles (PM2.5), ultrafine particles, elemental carbon, nitrogen dioxide (NO2), and road traffic noise at the most, and least exposed façade. For air pollutants, we estimated total, and non-traffic contributions. Green space around the residence was estimated from land use maps. Hazard ratios (HR) and 95% confidence limits (CL) were estimated with Cox proportional hazards models and used to calculate cumulative risk indices (CRI). We adjusted for the individual and sociodemographic covariates available in our dataset (which did not include information about individual life styles and medical conditions). Findings The cohort accumulated 18,344,976 years of follow-up and 94,256 cases of stroke. All exposures were associated with risk of stroke in single pollutant models. In multi-pollutant analyses, only PM2.5 (HR: 1.058, 95% CI: 1.040-1.075) and noise at most exposed façade (HR: 1.033, 95% CI: 1.024-1.042) were independently associated with a higher risk of stroke. Both noise and air pollution contributed substantially to the CRI (1.103, 95% CI: 1.092-1.114) in the model with noise, green space, and total PM2.5 concentrations. Interpretation Environmental exposure to air pollution and noise were both independently associated with risk of stroke. Funding Health Effects Institute (HEI) (Assistance Award No. R-82811201).
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Affiliation(s)
- Aslak H. Poulsen
- Environment and Cancer, Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark
| | - Mette Sørensen
- Environment and Cancer, Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark
- Department of Natural Science and Environment, Roskilde University, Universitetsvej 1, 4000, Roskilde, Denmark
| | - Ulla A. Hvidtfeldt
- Environment and Cancer, Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark
| | - Jesper H. Christensen
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark
- iClimate—Interdisciplinary Centre for Climate Change, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark
- iClimate—Interdisciplinary Centre for Climate Change, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark
| | - Lise M. Frohn
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark
- iClimate—Interdisciplinary Centre for Climate Change, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark
- Global Centre for Clean Air Research (GCARE), Department of Civil and Environmental Engineering, University of Surrey, Guildford, UK
| | - Christopher Andersen
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark
- Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, Roskilde, Denmark
| | - Steen Solvang Jensen
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark
- iClimate—Interdisciplinary Centre for Climate Change, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark
| | - Thomas Münzel
- University Medical Center Mainz of the Johannes Gutenberg University, Center for Cardiology, Cardiology I, Mainz, Germany
| | - Ole Raaschou-Nielsen
- Environment and Cancer, Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark
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7
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Shen Y, de Hoogh K, Schmitz O, Clinton N, Tuxen-Bettman K, Brandt J, Christensen JH, Frohn LM, Geels C, Karssenberg D, Vermeulen R, Hoek G. Corrigendum to "Europe-wide air pollution modeling from 2000 to 2019 using geographically weighted regression" [Environ. Int. 168 (2022) 107485]. Environ Int 2023; 178:108111. [PMID: 37500330 DOI: 10.1016/j.envint.2023.108111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/29/2023]
Affiliation(s)
- Youchen Shen
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands.
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Oliver Schmitz
- Department of Physical Geography, Faculty of Geosciences, Utrecht University, Utrecht, the Netherlands
| | | | | | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | | | - Lise M Frohn
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Camilla Geels
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Derek Karssenberg
- Department of Physical Geography, Faculty of Geosciences, Utrecht University, Utrecht, the Netherlands
| | - Roel Vermeulen
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands; Julius Centre for Health Sciences and Primary Care, University Medical Centre, Utrecht University, Utrecht, the Netherlands
| | - Gerard Hoek
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
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8
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Horsdal HT, Pedersen MG, Schullehner J, Østergaard CS, Mcgrath JJ, Agerbo E, Timmermann A, Closter AM, Brandt J, Christensen JH, Frohn LM, Geels C, Ketzel M, Khan J, Ørby PV, Olsen Y, Levin G, Svenning JC, Engemann K, Gyldenkærne S, Hansen B, Hertel O, Sabel CE, Erikstrup C, Sigsgaard T, Pedersen CB. Perspectives on environment and health research in Denmark. Scand J Public Health 2023:14034948231178076. [PMID: 37278162 DOI: 10.1177/14034948231178076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
AIMS We provide an overview of nationwide environmental data available for Denmark and its linkage potentials to individual-level records with the aim of promoting research on the potential impact of the local surrounding environment on human health. BACKGROUND Researchers in Denmark have unique opportunities for conducting large population-based studies treating the entire Danish population as one big, open and dynamic cohort based on nationally complete population and health registries. So far, most research in this area has utilised individual- and family-level information to study the clustering of disease in families, comorbidities, risk of, and prognosis after, disease onset, and social gradients in disease risk. Linking environmental data in time and space to individuals enables novel possibilities for studying the health effects of the social, built and physical environment. METHODS We describe the possible linkage between individuals and their local surrounding environment to establish the exposome - that is, the total environmental exposure of an individual over their life course. CONCLUSIONS The currently available nationwide longitudinal environmental data in Denmark constitutes a valuable and globally rare asset that can help explore the impact of the exposome on human health.
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Affiliation(s)
- Henriette T Horsdal
- National Centre for Register-based Research, Aarhus University, Denmark
- Big Data Centre for Environment and Health, Aarhus University, Denmark
| | - Marianne G Pedersen
- National Centre for Register-based Research, Aarhus University, Denmark
- Centre for Integrated Register-based Research, Aarhus University, Denmark
| | - Jörg Schullehner
- Big Data Centre for Environment and Health, Aarhus University, Denmark
- Department of Public Health, Aarhus University, Denmark
- Geological Survey of Denmark and Greenland, Denmark
| | - Cecilie S Østergaard
- National Centre for Register-based Research, Aarhus University, Denmark
- Big Data Centre for Environment and Health, Aarhus University, Denmark
- Department of Public Health, Aarhus University, Denmark
| | - John J Mcgrath
- National Centre for Register-based Research, Aarhus University, Denmark
- Queensland Brain Institute, The University of Queensland, Australia
- Queensland Centre for Mental Health Research, Australia
| | - Esben Agerbo
- National Centre for Register-based Research, Aarhus University, Denmark
- Centre for Integrated Register-based Research, Aarhus University, Denmark
| | - Allan Timmermann
- National Centre for Register-based Research, Aarhus University, Denmark
- Big Data Centre for Environment and Health, Aarhus University, Denmark
- Centre for Integrated Register-based Research, Aarhus University, Denmark
| | - Ane Marie Closter
- National Centre for Register-based Research, Aarhus University, Denmark
- Big Data Centre for Environment and Health, Aarhus University, Denmark
- Centre for Integrated Register-based Research, Aarhus University, Denmark
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Denmark
| | | | - Lise M Frohn
- Department of Environmental Science, Aarhus University, Denmark
| | - Camilla Geels
- Department of Environmental Science, Aarhus University, Denmark
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Denmark
- Global Centre for Clean Air Research, University of Surrey, UK
| | - Jibran Khan
- Big Data Centre for Environment and Health, Aarhus University, Denmark
- Department of Environmental Science, Aarhus University, Denmark
| | - Pia V Ørby
- Big Data Centre for Environment and Health, Aarhus University, Denmark
- Department of Environmental Science, Aarhus University, Denmark
| | - Yulia Olsen
- Big Data Centre for Environment and Health, Aarhus University, Denmark
- Department of Public Health, Aarhus University, Denmark
| | - Gregor Levin
- Department of Environmental Science, Aarhus University, Denmark
| | - Jens-Christian Svenning
- Center for Ecological Dynamics in a Novel Biosphere & Center for Biodiversity Dynamics in a Changing World, Department of Biology, Aarhus University, Denmark
| | - Kristine Engemann
- Center for Ecological Dynamics in a Novel Biosphere & Center for Biodiversity Dynamics in a Changing World, Department of Biology, Aarhus University, Denmark
| | | | | | - Ole Hertel
- Big Data Centre for Environment and Health, Aarhus University, Denmark
- Department of Ecoscience, Aarhus University, Denmark
| | - Clive E Sabel
- Big Data Centre for Environment and Health, Aarhus University, Denmark
- Department of Public Health, Aarhus University, Denmark
| | - Christian Erikstrup
- Big Data Centre for Environment and Health, Aarhus University, Denmark
- Department of Clinical Immunology, Aarhus University Hospital, Denmark
| | - Torben Sigsgaard
- Big Data Centre for Environment and Health, Aarhus University, Denmark
- Department of Public Health, Aarhus University, Denmark
| | - Carsten B Pedersen
- National Centre for Register-based Research, Aarhus University, Denmark
- Big Data Centre for Environment and Health, Aarhus University, Denmark
- Centre for Integrated Register-based Research, Aarhus University, Denmark
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9
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Poulsen AH, Sørensen M, Hvidtfeldt UA, Christensen JH, Brandt J, Frohn LM, Ketzel M, Andersen C, Raaschou-Nielsen O. Source-Specific Air Pollution Including Ultrafine Particles and Risk of Myocardial Infarction: A Nationwide Cohort Study from Denmark. Environ Health Perspect 2023; 131:57010. [PMID: 37235386 DOI: 10.1289/ehp10556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Abstract
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 >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 ≤2.5μm (PM2.5), <0.1μm (UFP), elemental carbon (EC), and nitrogen dioxide (NO2). We used Cox proportional 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 PM2.5 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 PM2.5 from nontraffic sources were similar to the total (1.034 and 1.051), whereas HRs for UFP and PM2.5 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). NO2 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 PM2.5 and UFP from traffic and nontraffic sources were associated with increased risk of MI, with nontraffic sources being the dominant source of exposure and morbidity. https://doi.org/10.1289/EHP10556.
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Affiliation(s)
- Aslak Harbo Poulsen
- Work, Environment and Cancer, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Mette Sørensen
- Work, Environment and Cancer, Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Natural Science and Environment, Roskilde University, Roskilde, Denmark
| | - Ulla Arthur Hvidtfeldt
- Work, Environment and Cancer, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Jesper H Christensen
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
- iClimate (Interdisciplinary Centre for Climate Change), Aarhus University, Roskilde, Denmark
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
- iClimate (Interdisciplinary Centre for Climate Change), Aarhus University, Roskilde, Denmark
| | - Lise Marie Frohn
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
- iClimate (Interdisciplinary Centre for Climate Change), Aarhus University, Roskilde, Denmark
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
- Global Centre for Clean Air Research, Department of Civil and Environmental Engineering, University of Surrey, Guildford, UK
| | - Christopher Andersen
- iClimate (Interdisciplinary Centre for Climate Change), Aarhus University, Roskilde, Denmark
| | - Ole Raaschou-Nielsen
- Work, Environment and Cancer, Danish Cancer Society Research Center, Copenhagen, Denmark
- iClimate (Interdisciplinary Centre for Climate Change), Aarhus University, Roskilde, Denmark
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10
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Roswall N, Thacher JD, Ögren M, Pyko A, Åkesson A, Oudin A, Tjønneland A, Rosengren A, Poulsen AH, Eriksson C, Segersson D, Rizzuto D, Helte E, Andersson EM, Aasvang GM, Gudjonsdottir H, Khan J, Selander J, Christensen JH, Brandt J, Leander K, Mattisson K, Eneroth K, Stucki L, Barregard L, Stockfelt L, Albin M, Simonsen MK, Spanne M, Jousilahti P, Tiittanen P, Molnàr P, Ljungman PLS, Yli-Tuomi T, Cole-Hunter T, Lanki T, Hvidtfeldt UA, Lim YH, Andersen ZJ, Pershagen G, Sørensen M. Long-term exposure to traffic noise and risk of incident colon cancer: A pooled study of eleven Nordic cohorts. Environ Res 2023; 224:115454. [PMID: 36764429 DOI: 10.1016/j.envres.2023.115454] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 01/31/2023] [Accepted: 02/08/2023] [Indexed: 06/18/2023]
Abstract
Background Colon cancer incidence is rising globally, and factors pertaining to urbanization have been proposed involved in this development. Traffic noise may increase colon cancer risk by causing sleep disturbance and stress, thereby inducing known colon cancer risk-factors, e.g. obesity, diabetes, physical inactivity, and alcohol consumption, but few studies have examined this. Objectives The objective of this study was to investigate the association between traffic noise and colon cancer (all, proximal, distal) in a pooled population of 11 Nordic cohorts, totaling 155,203 persons. Methods We identified residential address history and estimated road, railway, and aircraft noise, as well as air pollution, for all addresses, using similar exposure models across cohorts. Colon cancer cases were identified through national registries. We analyzed data using Cox Proportional Hazards Models, adjusting main models for harmonized sociodemographic and lifestyle data. Results During follow-up (median 18.8 years), 2757 colon cancer cases developed. We found a hazard ratio (HR) of 1.05 (95% confidence interval (CI): 0.99-1.10) per 10-dB higher 5-year mean time-weighted road traffic noise. In sub-type analyses, the association seemed confined to distal colon cancer: HR 1.06 (95% CI: 0.98-1.14). Railway and aircraft noise was not associated with colon cancer, albeit there was some indication in sub-type analyses that railway noise may also be associated with distal colon cancer. In interaction-analyses, the association between road traffic noise and colon cancer was strongest among obese persons and those with high NO2-exposure. Discussion A prominent study strength is the large population with harmonized data across eleven cohorts, and the complete address-history during follow-up. However, each cohort estimated noise independently, and only at the most exposed façade, which may introduce exposure misclassification. Despite this, the results of this pooled study suggest that traffic noise may be a risk factor for colon cancer, especially of distal origin.
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Affiliation(s)
- Nina Roswall
- Danish Cancer Society Research Centre, Strandboulevarden 49, 2100, Copenhagen Ø, Denmark
| | - Jesse D Thacher
- Danish Cancer Society Research Centre, Strandboulevarden 49, 2100, Copenhagen Ø, Denmark; Division of Occupational and Environmental Medicine, Lund University, Lund, Sweden
| | - Mikael Ögren
- Department of Occupational and Environmental Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden; Occupational and Environmental Medicine, School of Public Health and Community Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Andrei Pyko
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Center for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Agneta Åkesson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Anna Oudin
- Division of Occupational and Environmental Medicine, Lund University, Lund, Sweden; Division of Sustainable Health, Umeå University, Sweden
| | - Anne Tjønneland
- Danish Cancer Society Research Centre, Strandboulevarden 49, 2100, Copenhagen Ø, Denmark; Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Annika Rosengren
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Region Västra Götaland, Department of Medicine Geriatrics and Emergency Medicine, Sahlgrenska University Hospital Östra Hospital, Gothenburg, Sweden
| | - Aslak H Poulsen
- Danish Cancer Society Research Centre, Strandboulevarden 49, 2100, Copenhagen Ø, Denmark
| | - Charlotta Eriksson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Center for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - David Segersson
- Swedish Meteorological and Hydrological Institute, Norrköping, Sweden
| | - Debora Rizzuto
- Aging Research Centre, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden; Stockholm Gerontology Research Centre, Stockholm, Sweden
| | - Emilie Helte
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Eva M Andersson
- Department of Occupational and Environmental Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden; Occupational and Environmental Medicine, School of Public Health and Community Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Gunn Marit Aasvang
- Department of Air Quality and Noise, Norwegian Institute of Public Health, Oslo, Norway
| | - Hrafnhildur Gudjonsdottir
- Centre for Epidemiology and Community Medicine, Region Stockholm, Stockholm, Sweden; Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
| | - Jibran Khan
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, Roskilde, Denmark
| | - Jenny Selander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | | | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Karin Leander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Kristoffer Mattisson
- Division of Occupational and Environmental Medicine, Lund University, Lund, Sweden
| | | | - Lara Stucki
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Lars Barregard
- Department of Occupational and Environmental Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden; Occupational and Environmental Medicine, School of Public Health and Community Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Leo Stockfelt
- Department of Occupational and Environmental Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden; Occupational and Environmental Medicine, School of Public Health and Community Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Maria Albin
- Division of Occupational and Environmental Medicine, Lund University, Lund, Sweden; Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Center for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Mette K Simonsen
- Department of Neurology and the Parker Institute, Frederiksberg Hospital, Frederiksberg, Denmark
| | - Mårten Spanne
- Environment Department, City of Malmö, Malmö, Sweden
| | - Pekka Jousilahti
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Pekka Tiittanen
- Department of Health Security, Finnish Institute for Health and Welfare, Kuopio, Finland
| | - Peter Molnàr
- Department of Occupational and Environmental Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden; Occupational and Environmental Medicine, School of Public Health and Community Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Petter L S Ljungman
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Department of Cardiology, Danderyd Hospital, Stockholm, Sweden
| | - Tarja Yli-Tuomi
- Department of Health Security, Finnish Institute for Health and Welfare, Kuopio, Finland
| | - Thomas Cole-Hunter
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Timo Lanki
- Department of Health Security, Finnish Institute for Health and Welfare, Kuopio, Finland; School of Medicine, University of Eastern Finland, Kuopio, Finland; Department of Environmental and Biological Sciences, University of Eastern Finland, Kuopio, Finland
| | - Ulla A Hvidtfeldt
- Danish Cancer Society Research Centre, Strandboulevarden 49, 2100, Copenhagen Ø, Denmark
| | - Youn-Hee Lim
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Zorana J Andersen
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Center for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Mette Sørensen
- Danish Cancer Society Research Centre, Strandboulevarden 49, 2100, Copenhagen Ø, Denmark; Department of Natural Science and Environment, Roskilde University, Denmark.
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11
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Poulsen AH, Sørensen M, Hvidtfeldt UA, Ketzel M, Christensen JH, Brandt J, Frohn LM, Khan J, Jensen SS, Lund T, Raaschou-Nielsen O. Air pollution and stroke; effect modification by sociodemographic and environmental factors. A cohort study from Denmark. Int J Hyg Environ Health 2023; 251:114165. [PMID: 37121155 DOI: 10.1016/j.ijheh.2023.114165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Revised: 03/03/2023] [Accepted: 03/29/2023] [Indexed: 05/02/2023]
Abstract
OBJECTIVES Air pollution increases the risk of stroke, but the literature on identifying susceptible subgroups of populations is scarce and inconsistent. The aim of this study was to investigate if the association between air pollution and risk of stroke differed by sociodemographic factors, financial stress, comorbid conditions, and residential road traffic noise, population density and green space. METHODS We assessed long-term exposure to air pollution with ultrafine particles, PM2.5, elemental carbon and NO2 for a cohort of 1,971,246 Danes aged 50-85 years. During follow-up from 2005 to 2017, we identified 83,211 incident stroke cases. We used Cox proportional hazards model (relative risk) and Aalen additive hazards models (absolute risk) to estimate associations and confidence intervals (CI) between 5-year running means of air pollution at the residence and risk of stroke in population strata. RESULTS All four pollutants were associated with higher risk of stroke. The association between air pollution and stroke was strongest among individuals with comorbidities, with shorter education, lower income and being retired. The results also indicated stronger associations among individuals living in less populated areas, and with low noise levels and more green space around the residence. Estimates of absolute risk seemed better suited to detect such interactions than estimates of relative risk. For example for PM2.5 the hazard ratio for stroke was 1.28 (95%CI: 1.22-1.34) and 1.26 (95%CI: 1.16-1.37) among those with mandatory and medium/long education respectively. The corresponding rate difference estimates per 100,000 person years were 568 (95%CI: 543-594) and 423(95%CI: 390-456) CONCLUSION: The associations between air pollution and risk of stroke was stronger among individuals of lower socioeconomic status or with pre-existing comorbid conditions. Absolute risk estimates were better suited to identify such effect modification.
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Affiliation(s)
- Aslak Harbo Poulsen
- Work, Environment and Cancer, Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark.
| | - Mette Sørensen
- Work, Environment and Cancer, Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark; Department of Natural Science and Environment, Roskilde University, Universitetsvej 1, 4000, Roskilde, Denmark
| | - Ulla Arthur Hvidtfeldt
- Work, Environment and Cancer, Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark; Global Centre for Clean Air Research (GCARE), Department of Civil and Environmental Engineering, University of Surrey, Guildford, UK
| | - Jesper H Christensen
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark; iClimate - interdisciplinary Centre for Climate Change, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark
| | - Lise Marie Frohn
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark; iClimate - interdisciplinary Centre for Climate Change, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark
| | - Jibran Khan
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark; Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark
| | - Steen Solvang Jensen
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark
| | - Thomas Lund
- Centre of Social Medicine, University Hospital Bispebjerg-Frederiksberg, Nordre Fasanvej 57, 2000, Frederiksberg, Denmark; Department of Occupational and Social Medicine, Holbaek Hospital & Department of Public Health, University of Copenhagen, Denmark
| | - Ole Raaschou-Nielsen
- Work, Environment and Cancer, Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark; Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark
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12
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Poulsen AH, Sørensen M, Hvidtfeldt UA, Frohn LM, Ketzel M, Christensen JH, Brandt J, Massling A, Khan J, Lassen CF, Raaschou-Nielsen O. Air pollution and myocardial infarction; effect modification by sociodemographic and environmental factors. A cohort study from Denmark. Environ Res 2023; 229:115905. [PMID: 37086881 DOI: 10.1016/j.envres.2023.115905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 04/04/2023] [Accepted: 04/12/2023] [Indexed: 05/03/2023]
Abstract
Air pollution is associated with increased risk of myocardial infarction (MI), but it is unresolved to what extent the association is modified by factors such as socioeconomic status, comorbidities, financial stress, residential green space, or road traffic noise. We formed a cohort of all (n = 1,964,702) Danes, aged 50-85 years, with 65,311 cases of MI during the followed-up period 2005-2017. For all participants we established residential five-year running average exposure to particulate matter <2.5 μm (PM2.5), ultrafine particles (UFP, <0.1 μm), elemental carbon (EC) and nitrogen dioxide (NO2). We evaluated risk in population strata, using Aalen additive hazards models to estimate absolute risk and Cox proportional hazards models to estimate relative risk of MI with 95% confidence intervals (CI). PM2.5 and the other pollutant were associated with MI. Lower education and lower income were associated with higher absolute risks of MI from air pollution, whereas no clear effect modification was apparent for relative risk estimates. For example, 5 μg/m3 higher PM2.5 was associated with HR for MI of 1.16 (95% CI: 1.10-1.22) among those with only mandatory education and 1.13 (95% CI: 1.03-1.24) among those with long education. The corresponding rate differences per 100,000 person years were 243 (95% CI: 216-271) and 358 (95% CI: 338-379), respectively. Higher level of comorbidity was consistently across all four pollutants associated with both higher absolute and relative risk of MI. In conclusion, people with comorbid conditions or of lower SES appeared more vulnerable to long-term exposure to air pollution and more cases of MI may be prevented by focused interventions in these groups.
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Affiliation(s)
- Aslak Harbo Poulsen
- Work, Environment and Cancer, Danish Cancer Society Research Center, Strandboulevarden 49, 2100 Copenhagen, Denmark.
| | - Mette Sørensen
- Work, Environment and Cancer, Danish Cancer Society Research Center, Strandboulevarden 49, 2100 Copenhagen, Denmark; Department of Natural Science and Environment, Roskilde University, Universitetsvej 1, 4000, Roskilde, Denmark
| | - Ulla A Hvidtfeldt
- Work, Environment and Cancer, Danish Cancer Society Research Center, Strandboulevarden 49, 2100 Copenhagen, Denmark
| | - Lise M Frohn
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark; iClimate - Interdisciplinary Centre for Climate Change, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark; Global Centre for Clean Air Research (GCARE), Department of Civil and Environmental Engineering, University of Surrey, Guildford, UK
| | - Jesper H Christensen
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark; iClimate - Interdisciplinary Centre for Climate Change, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark; iClimate - Interdisciplinary Centre for Climate Change, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark
| | - Andreas Massling
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark
| | - Jibran Khan
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark; Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, Frederiksborgvej 399, 4000 Roskilde, Denmark
| | - Christina Funch Lassen
- Centre of Social Medicine, University Hospital Bispebjerg-Frederiksberg, Nordre Fasanvej 57, 2000, Frederiksberg, Denmark
| | - Ole Raaschou-Nielsen
- Work, Environment and Cancer, Danish Cancer Society Research Center, Strandboulevarden 49, 2100 Copenhagen, Denmark; Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark
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13
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Poulsen AH, Sørensen M, Hvidtfeldt UA, Brandt J, Frohn LM, Ketzel M, Christensen JH, Im U, Raaschou-Nielsen O. 'Source-specific' air pollution and risk of stroke in Denmark. Int J Epidemiol 2023:7078529. [PMID: 36921285 DOI: 10.1093/ije/dyad030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 02/28/2023] [Indexed: 03/17/2023] Open
Abstract
BACKGROUND Long-term air pollution is a risk factor for stroke. Which types and sources of air pollution contribute most to stroke in populations is unknown. We investigated whether risk of stroke differed by type and source of air pollution. METHODS We selected all persons aged >50 years and living in Denmark in the period 2005-17. We estimated running 5-year mean residential air-pollution concentrations of particulate matter <2.5 µm (PM2.5), ultrafine particles (UFP), elemental carbon (EC) and nitrogen dioxide (NO2). Pollutants were modelled as total air pollution from all emission sources, as well as apportioned into contributions from non-traffic and traffic sources. Hazard ratios (HRs) and CIs were estimated by using Cox proportional hazards models, adjusting for area-level and personal demographic and socio-economic covariates. We identified all primary strokes from hospital and mortality registers. RESULTS The cohort numbered 2 million people and 94 256 cases of stroke. Interquartile ranges (IQR) of air pollution were associated with risk of stroke with HRs of 1.077 (95% CI: 1.061-1.094, IQR: 1.85 µg/m3) for PM2.5, 1.039 (1.026-1.052, IQR: 4248 particles/cm3) for UFP, 1.009 (1.001-1.018, IQR: 0.28 µg/m3) for EC and 1.028 (1.017-1.040, IQR: 7.15 µg/m3) for NO2. Traffic sources contributed little to the total exposure. HRs associated with air pollution from traffic were close to the null, whereas non-traffic sources tended to be associated with HRs higher than those for total air pollution, e.g. for non-traffic PM2.5, the HR was 1.091 (1.074-1.108). CONCLUSIONS Air pollution, including UFP, was associated with risk of stroke. The risk appeared attributable mainly to air pollution from non-traffic sources.
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Affiliation(s)
- Aslak Harbo Poulsen
- Work, Environment and Cancer, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Mette Sørensen
- Work, Environment and Cancer, Danish Cancer Society Research Center, Copenhagen, Denmark.,Department of Natural Science and Environment, Roskilde University, Roskilde, Denmark
| | - Ulla Arthur Hvidtfeldt
- Work, Environment and Cancer, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark.,iClimate-Interdisciplinary Centre for Climate Change, Aarhus University, Roskilde, Denmark
| | - Lise Marie Frohn
- Department of Environmental Science, Aarhus University, Roskilde, Denmark.,iClimate-Interdisciplinary Centre for Climate Change, Aarhus University, Roskilde, Denmark
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark.,Global Centre for Clean Air Research (GCARE), Department of Civil and Environmental Engineering, University of Surrey, Guildford, UK
| | | | - Ulas Im
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Ole Raaschou-Nielsen
- Work, Environment and Cancer, Danish Cancer Society Research Center, Copenhagen, Denmark.,Department of Environmental Science, Aarhus University, Roskilde, Denmark
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14
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Roswall N, Poulsen AH, Hvidtfeldt UA, Hendriksen PF, Boll K, Halkjær J, Ketzel M, Brandt J, Frohn LM, Christensen JH, Im U, Sørensen M, Raaschou-Nielsen O. Exposure to ambient air pollution and lipid levels and blood pressure in an adult, Danish cohort. Environ Res 2023; 220:115179. [PMID: 36584852 DOI: 10.1016/j.envres.2022.115179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 12/16/2022] [Accepted: 12/27/2022] [Indexed: 06/17/2023]
Abstract
BACKGROUND Air pollution is a well-recognized risk factor for cardiovascular disease. However, the mechanistic pathways underlying the association are not completely understood. Hence, further studies are required to shed light on potential mechanisms, through which air pollution may affect the development from subclinical to clinical cardiovascular disease. OBJECTIVES To investigate associations between short-term exposure to air pollution and high-density lipoprotein (HDL), non-high density lipoprotein (non-HDL), systolic and diastolic blood pressure. METHODS The study was conducted among 32,851 Danes from the Diet, Cancer and Health - Next Generations cohort, who had a blood sample taken and blood pressure measured. We measured HDL and non-HDL in the blood samples. We modelled exposure to fine particulate matter (PM2.5), ultrafine particles (UFP), elemental carbon (EC) and nitrogen dioxide (NO2) in time-windows from 24 h up to 90 days before blood sampling. Pollutants were modelled as total air pollution from all sources, and apportioned into contributions from non-traffic and traffic sources. We analyzed data using linear and logistic regression, with adjustment for socio-economic and lifestyle factors. RESULTS Air pollution exposure over 24 h to 30 days was generally adversely associated with lipid profile and blood pressure, e.g. for 30-day UFP-exposure, adjusted β-estimates were: -0.025 (-0.043; -0.006) for HDL, 0.086 (0.042; 0.130) for non-HDL, 2.45 (1.70; 3.11) for systolic and 1.56 (1.07; 20.4) for diastolic blood pressure, per 10,000 particles/cm3. The strongest associations were found for the non-traffic components of air pollution, and among those who were overweight/obese. DISCUSSION In this large study of air pollution and lipid levels and blood pressure, we found that 24-h to 30-day PM2.5, UFP, EC and NO2 concentrations were generally adversely associated with lipid profile and blood pressure, two important cardiovascular risk factors. The study suggests potential pathways, through which air pollution could affect the development of cardiovascular disease.
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Affiliation(s)
- Nina Roswall
- Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark.
| | - Aslak Harbo Poulsen
- Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark
| | | | | | - Katja Boll
- Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark
| | - Jytte Halkjær
- Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; Global Centre for Clean Air Research (GCARE), Department of Civil and Environmental Engineering, University of Surrey, Guildford, UK
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; IClimate - Interdisciplinary Centre for Climate Change, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark
| | - Lise Marie Frohn
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; IClimate - Interdisciplinary Centre for Climate Change, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark
| | | | - Ulas Im
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Mette Sørensen
- Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark; Department of Natural Science and Environment, Roskilde University, Roskilde, Denmark
| | - Ole Raaschou-Nielsen
- Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark; Department of Environmental Science, Aarhus University, Roskilde, Denmark
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15
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Sørensen M, Poulsen AH, Hvidtfeldt UA, Christensen JH, Brandt J, Frohn LM, Ketzel M, Andersen C, Valencia VH, Lassen CF, Raaschou-Nielsen O. Effects of Sociodemographic Characteristics, Comorbidity, and Coexposures on the Association between Air Pollution and Type 2 Diabetes: A Nationwide Cohort Study. Environ Health Perspect 2023; 131:27008. [PMID: 36802347 PMCID: PMC9942819 DOI: 10.1289/ehp11347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 01/05/2023] [Accepted: 01/17/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Exposure to air pollution has been associated with a higher risk of type 2 diabetes (T2D), but studies investigating whether deprived groups are more susceptible to the harmful effects of air pollution are inconsistent. OBJECTIVES We aimed to investigate whether the association between air pollution and T2D differed according to sociodemographic characteristics, comorbidity, and coexposures. METHODS We estimated residential exposure to PM2.5, ultrafine particles (UFP), elemental carbon, and NO2 for all persons living in Denmark in the period 2005-2017. In total, 1.8 million persons 50-80 y of age were included for main analyses of whom 113,985 developed T2D during follow-up. We conducted additional analyses on 1.3 million persons age 35-50 y. Using Cox proportional hazards model (relative risk) and Aalens additive hazard model (absolute risk), we calculated associations between 5-y time-weighted running means of air pollution and T2D in strata of sociodemographic variables, comorbidity, population density, road traffic noise, and green space proximity. RESULTS Air pollution was associated with T2D, especially among people age 50-80 y, with hazard ratios of 1.17 [95% confidence interval (CI): 1.13, 1.21] per 5 μg/m3 PM2.5 and 1.16 (95% CI: 1.13, 1.19) per 10,000 UFP/cm3. In the age 50-80 y population, we found higher associations between air pollution and T2D among men in comparison with women, people with lower education vs. individuals with high education, people with medium income vs. those with low or high income, people cohabiting vs. those living alone, and people with comorbidities vs. those without comorbidities. We observed no marked changes according to occupation, population density, road noise, or surrounding greenness. In the age 35-50 y population, similar tendencies were observed, except in relation to sex and occupation, where we observed associations with air pollution only among women and blue-collar workers. DISCUSSION We found stronger associations between air pollution and T2D among people with existing comorbidities and weaker associations among people with high socioeconomic status in comparison with those with lower socioeconomic status. https://doi.org/10.1289/EHP11347.
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Affiliation(s)
- Mette Sørensen
- Work, Environment and Cancer, Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Natural Science and Environment, Roskilde University, Roskilde, Denmark
| | - Aslak Harbo Poulsen
- Work, Environment and Cancer, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Ulla Arthur Hvidtfeldt
- Work, Environment and Cancer, Danish Cancer Society Research Center, Copenhagen, Denmark
| | | | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
- iClimate – Interdisciplinary Centre for Climate Change, Aarhus University, Roskilde, Denmark
| | - Lise Marie Frohn
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
- iClimate – Interdisciplinary Centre for Climate Change, Aarhus University, Roskilde, Denmark
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
- Global Centre for Clean Air Research (GCARE), Department of Civil and Environmental Engineering, University of Surrey, Guildford, UK
| | | | - Victor H. Valencia
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Christina Funch Lassen
- Centre of Social Medicine, University Hospital Bispebjerg-Frederiksberg, Frederiksberg, Denmark
| | - Ole Raaschou-Nielsen
- Work, Environment and Cancer, Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
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16
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Poulsen AH, Hvidtfeldt UA, Sørensen M, Pedersen JE, Ketzel M, Brandt J, Geels C, Christensen JH, Raaschou-Nielsen O. Air pollution with NO 2, PM 2.5, and elemental carbon in relation to risk of breast cancer- a nationwide case-control study from Denmark. Environ Res 2023; 216:114740. [PMID: 36356668 DOI: 10.1016/j.envres.2022.114740] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 10/12/2022] [Accepted: 11/03/2022] [Indexed: 06/16/2023]
Abstract
UNLABELLED Air pollution with particulate matter is an established lung carcinogen. Studies have suggested an association with breast cancer, but the evidence is inconsistent. METHODS From nationwide registers, we identified all breast cancer cases (n = 55 745) in Denmark between 2000 and 2014. We matched one control for each case on age and year of birth. We used a multi-scale dispersion model to estimate outdoor concentrations of particulate matter <2.5 μm (PM2.5), elemental carbon (EC) and nitrogen dioxide (NO2) as time-weighted average over all addresses up to 20 years prior to diagnosis. We calculated odds ratios (OR) and 95% confidence intervals (CI) by conditional logistic regression with adjustment for marital status, educational level, occupational status, personal income, region of origin, medication and area-level socio-economic indicators. RESULTS A 10 μg/m3 higher PM2.5 was associated with an OR for breast cancer of 1.21 (95% CI: 1.11-1.33). The corresponding ORs for EC (per 1 μg/m3) and NO2 (per 10 μg/m3) were 1.03 (95% CI: 1.00-1.07) and 1.03 (95% CI: 1.01-1.06), respectively. In multi-pollutant models, the OR for PM2.5 changed only little, whereas ORs for EC or NO2 approached the null. In an analysis of persons below 55 years, PM2.5 was associated with an OR of 1.32 (95% CI: 1.09-1.60) per 10 μg/m3 increase. CONCLUSION We found evidence of an association between the investigated air pollutants and breast cancer, especially PM2.5. There were indications that the association differed by age at diagnosis. We were not able to include all potential confounders and thus, results should be interpreted with caution.
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Affiliation(s)
| | | | - Mette Sørensen
- Danish Cancer Society Research Center, Copenhagen, Denmark; Department of Natural Science and Environment, Roskilde University, Roskilde, Denmark
| | | | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; Global Centre for Clean Air Research (GCARE), Department of Civil and Environmental Engineering, University of Surrey, Guildford, United Kingdom
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Camilla Geels
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | | | - Ole Raaschou-Nielsen
- Danish Cancer Society Research Center, Copenhagen, Denmark; Department of Environmental Science, Aarhus University, Roskilde, Denmark
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17
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Raaschou-Nielsen O, Antonsen S, Agerbo E, Hvidtfeldt UA, Geels C, Frohn LM, Christensen JH, Sigsgaard T, Brandt J, Pedersen CB. PM 2.5 air pollution components and mortality in Denmark. Environ Int 2023; 171:107685. [PMID: 36502699 DOI: 10.1016/j.envint.2022.107685] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 12/02/2022] [Accepted: 12/06/2022] [Indexed: 06/17/2023]
Abstract
BACKGROUND Ambient fine particulate matter (PM2.5) causes millions of deaths every year worldwide. Identification of the most harmful types of PM2.5 would facilitate efficient prevention strategies. OBJECTIVES The aim of this study was to investigate associations between components of PM2.5 and mortality in a nation-wide Danish population. METHODS Our study base was Danes born 1921-1985 and aged 30-85 years, who were followed up for mortality from 1991 to 2015. We included 678,465 natural cause mortality cases and selected five age, sex and calendar time matched controls to each case from the study base. We retrieved the address history of the study population from Danish registries and assessed five-year average concentrations of eight PM2.5 components using deterministic Chemistry-Transport Models air pollution models. We estimated mortality rate ratios (MRRs) by conditional logistic regression and adjusted for socio-demographical factors at individual and neighborhood level. RESULTS Single pollutant models showed the strongest associations between natural cause mortality and an interquartile increase in sulfate particles (SO4--) (MRR: 1.123; 95 % CI: 1.100-1.147 per 1.5 µg/m3) and secondary organic aerosol (SOA) (MRR: 1.054; 95 % CI: 1.048-1.061 per 0.050 µg/m3). Two-pollutant models showed robust associations between SO4-- and SOA and natural cause mortality. Elemental carbon and mineral dust showed robust associations with higher respiratory and lung cancer mortality. CONCLUSION This nation-wide study found robust associations between natural cause mortality and SO4-- particles and SOA, which is in line with the results of previous studies. Elemental carbon and mineral dust showed robust associations with higher respiratory and lung cancer mortality.
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Affiliation(s)
- Ole Raaschou-Nielsen
- Danish Cancer Society Research Center, Strandboulevarden 49, 2100 Copenhagen Ø, Denmark; Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000 Roskilde, Denmark.
| | - Sussie Antonsen
- National Centre for Register-Based Research, Aarhus BSS, Department of Economics and Business Economics, Aarhus University, Fuglesangs allé 26, 8210 Aarhus V, Denmark; Centre for Integrated Register-based Research, CIRRAU, Aarhus University, Fuglesangs allé 26, 8210 Aarhus V, Denmark
| | - Esben Agerbo
- National Centre for Register-Based Research, Aarhus BSS, Department of Economics and Business Economics, Aarhus University, Fuglesangs allé 26, 8210 Aarhus V, Denmark; Centre for Integrated Register-based Research, CIRRAU, Aarhus University, Fuglesangs allé 26, 8210 Aarhus V, Denmark
| | - Ulla A Hvidtfeldt
- Danish Cancer Society Research Center, Strandboulevarden 49, 2100 Copenhagen Ø, Denmark
| | - Camilla Geels
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000 Roskilde, Denmark
| | - Lise M Frohn
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000 Roskilde, Denmark
| | - Jesper H Christensen
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000 Roskilde, Denmark
| | - Torben Sigsgaard
- Department of Public Health, Aarhus University, Vennelyst Boulevard 2, 8000 Aarhus, Denmark
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000 Roskilde, Denmark
| | - Carsten B Pedersen
- National Centre for Register-Based Research, Aarhus BSS, Department of Economics and Business Economics, Aarhus University, Fuglesangs allé 26, 8210 Aarhus V, Denmark; Centre for Integrated Register-based Research, CIRRAU, Aarhus University, Fuglesangs allé 26, 8210 Aarhus V, Denmark
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18
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Pyko A, Roswall N, Ögren M, Oudin A, Rosengren A, Eriksson C, Segersson D, Rizzuto D, Andersson EM, Aasvang GM, Engström G, Gudjonsdottir H, Jørgensen JT, Selander J, Christensen JH, Brandt J, Leander K, Overvad K, Eneroth K, Mattisson K, Barregard L, Stockfelt L, Albin M, Simonsen MK, Tiittanen P, Molnar P, Ljungman P, Solvang Jensen S, Gustafsson S, Lanki T, Lim YH, Andersen ZJ, Sørensen M, Pershagen G. Long-Term Exposure to Transportation Noise and Ischemic Heart Disease: A Pooled Analysis of Nine Scandinavian Cohorts. Environ Health Perspect 2023; 131:17003. [PMID: 36607286 PMCID: PMC9819217 DOI: 10.1289/ehp10745] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 12/09/2022] [Accepted: 12/09/2022] [Indexed: 05/25/2023]
Abstract
BACKGROUND Transportation noise may induce cardiovascular disease, but the public health implications are unclear. OBJECTIVES The study aimed to assess exposure-response relationships for different transportation noise sources and ischemic heart disease (IHD), including subtypes. METHODS Pooled analyses were performed of nine cohorts from Denmark and Sweden, together including 132,801 subjects. Time-weighted long-term exposure to road, railway, and aircraft noise, as well as air pollution, was estimated based on residential histories. Hazard ratios (HRs) were calculated using Cox proportional hazards models following adjustment for lifestyle and socioeconomic risk factors. RESULTS A total of 22,459 incident cases of IHD were identified during follow-up from national patient and mortality registers, including 7,682 cases of myocardial infarction. The adjusted HR for IHD was 1.03 [95% confidence interval (CI) 1.00, 1.05] per 10 dB Lden for both road and railway noise exposure during 5 y prior to the event. Higher risks were indicated for IHD excluding angina pectoris cases, with HRs of 1.06 (95% CI: 1.03, 1.08) and 1.05 (95% CI: 1.01, 1.08) per 10 dB Lden for road and railway noise, respectively. Corresponding HRs for myocardial infarction were 1.02 (95% CI: 0.99, 1.05) and 1.04 (95% CI: 0.99, 1.08). Increased risks were observed for aircraft noise but without clear exposure-response relations. A threshold at around 55 dB Lden was suggested in the exposure-response relation for road traffic noise and IHD. DISCUSSION Exposure to road, railway, and aircraft noise in the prior 5 y was associated with an increased risk of IHD, particularly after exclusion of angina pectoris cases, which are less well identified in the registries. https://doi.org/10.1289/EHP10745.
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Affiliation(s)
- Andrei Pyko
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Center for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Nina Roswall
- Danish Cancer Society Research Centre, Copenhagen, Denmark
| | - Mikael Ögren
- Occupational and Environmental Medicine, School of Public Health and Community Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
- Department of Occupational and Environmental Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Anna Oudin
- Planetary Health, Lund University, Lund, Sweden
- Sustainable Health, Department of Public Health and Clinical Medicine, Umeå University, Sweden
| | - Annika Rosengren
- Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Sahlgrenska University Hospital, Region Västra Götaland, Gothenburg, Sweden
| | - Charlotta Eriksson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Center for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - David Segersson
- Swedish Meteorological and Hydrological Institute, Norrköping, Sweden
- Department of Environmental Science, Stockholm University, Stockholm, Sweden
| | - Debora Rizzuto
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
- Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Eva M. Andersson
- Occupational and Environmental Medicine, School of Public Health and Community Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
- Department of Occupational and Environmental Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Gunn Marit Aasvang
- Department of Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Gunnar Engström
- Department of Clinical Science, Lund University, Malmö, Sweden
| | - Hrafnhildur Gudjonsdottir
- Centre for Epidemiology and Community Medicine, Region Stockholm, Stockholm, Sweden
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
| | | | - Jenny Selander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | | | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
- iClimate – Interdisciplinary Centre for Climate Change, Aarhus University, Roskilde, Denmark
| | - Karin Leander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Kim Overvad
- Department of Public Health, Aarhus University, Aarhus, Denmark
- Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark
| | | | - Kristoffer Mattisson
- Division of Occupational and Environmental Medicine, Lund University, Lund, Sweden
| | - Lars Barregard
- Occupational and Environmental Medicine, School of Public Health and Community Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
- Department of Occupational and Environmental Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Leo Stockfelt
- Occupational and Environmental Medicine, School of Public Health and Community Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
- Department of Occupational and Environmental Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Maria Albin
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Center for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
- Division of Occupational and Environmental Medicine, Lund University, Lund, Sweden
| | - Mette K. Simonsen
- Department of Neurology, The Parker Institute, Frederiksberg Hospital, Capital Region, Frederiksberg, Denmark
| | - Pekka Tiittanen
- Department of Health Security, Finnish Institute for Health and Welfare (THL), Kuopio, Finland
| | - Peter Molnar
- Occupational and Environmental Medicine, School of Public Health and Community Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
- Department of Occupational and Environmental Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Petter Ljungman
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Cardiology, Danderyd Hospital, Stockholm, Sweden
| | | | | | - Timo Lanki
- Department of Health Security, Finnish Institute for Health and Welfare (THL), Kuopio, Finland
- School of Medicine, University of Eastern Finland, Kuopio, Finland
- Department of Environmental and Biological Sciences, University of Eastern Finland, Kuopio, Finland
| | - Youn-Hee Lim
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Zorana J. Andersen
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Mette Sørensen
- Danish Cancer Society Research Centre, Copenhagen, Denmark
- Department of Natural Science and Environment, Roskilde University, Roskilde, Denmark
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Center for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
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19
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Sørensen M, Poulsen AH, Hvidtfeldt UA, Brandt J, Frohn LM, Ketzel M, Christensen JH, Im U, Khan J, Münzel T, Raaschou-Nielsen O. Air pollution, road traffic noise and lack of greenness and risk of type 2 diabetes: A multi-exposure prospective study covering Denmark. Environ Int 2022; 170:107570. [PMID: 36334460 DOI: 10.1016/j.envint.2022.107570] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 09/07/2022] [Accepted: 10/05/2022] [Indexed: 05/26/2023]
Abstract
OBJECTIVE Air pollution, road traffic noise and lack of greenness coexist in urban environments and have all been associated with type 2 diabetes. We aimed to investigate how these co-exposures were associated with type 2 diabetes in a multi-exposure perspective. METHODS We estimated 5-year residential mean exposure to fine particles (PM2.5), ultrafine particles (UFP), elemental carbon (EC), nitrogen dioxide (NO2) and road traffic noise at the most (LdenMax) and least (LdenMin) exposed facade for all persons aged > 50 years living in Denmark in 2005 to 2017. For each air pollutant, we estimated total concentrations and traffic contributions. Based on land use maps, we estimated proportion of green and non-green space within 150 and 1000 m of all residences. In total, 1.9 million persons were included and 128,358 developed type 2 diabetes during follow-up. We performed analyses using Cox proportional hazards models, with adjustment for individual and neighborhood-level sociodemographic co-variates. RESULTS In single-pollutant models, all air pollutants, noise and lack of green space were associated with higher risk of diabetes. In two-, three- and four-pollutant analyses of the air pollutants, only UFP and NO2 remained associated with higher diabetes risk in all models. LdenMax, LdenMin and the two proxies of green space remained associated with diabetes in two-pollutant models of, respectively, noise and green space. In a multi-pollutant analysis, we found hazard ratios (95 % confidence intervals) per interquartile range of 1.021 (1.005; 1.038) for UFP, 1.012 (0.996; 1.028) for NO2, 1.022 (1.012; 1.033) for LdenMin, 1.013 (1.004; 1.022) for LdenMax, and 1.038 (1.031; 1.044) and 1.018 (1.010; 1.025) for lack of green space within, respectively, 150 m and 1000 m, and a cumulative risk index of 1.131 (1.113; 1.149). CONCLUSIONS Air pollution, road traffic noise and lack of green space were independently associated with higher risk of type 2 diabetes.
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Affiliation(s)
- Mette Sørensen
- Environment and Cancer, Danish Cancer Society Research Center, Strandboulevarden 49, 2100 Copenhagen, Denmark; Department of Natural Science and Environment, Roskilde University, Universitetsvej 1, 4000 Roskilde, Denmark.
| | - Aslak H Poulsen
- Environment and Cancer, Danish Cancer Society Research Center, Strandboulevarden 49, 2100 Copenhagen, Denmark
| | - Ulla A Hvidtfeldt
- Environment and Cancer, Danish Cancer Society Research Center, Strandboulevarden 49, 2100 Copenhagen, Denmark
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000 Roskilde, Denmark; iClimate - interdisciplinary Centre for Climate Change, Aarhus University, Frederiksborgvej 399, 4000 Roskilde, Denmark
| | - Lise M Frohn
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000 Roskilde, Denmark; iClimate - interdisciplinary Centre for Climate Change, Aarhus University, Frederiksborgvej 399, 4000 Roskilde, Denmark
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000 Roskilde, Denmark; Global Centre for Clean Air Research (GCARE), Department of Civil and Environmental Engineering, University of Surrey, Guildford, U.K
| | - Jesper H Christensen
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000 Roskilde, Denmark
| | - Ulas Im
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000 Roskilde, Denmark
| | - Jibran Khan
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000 Roskilde, Denmark; Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, Frederiksborgvej 399, 4000 Roskilde, Denmark
| | - Thomas Münzel
- University Medical Center Mainz of the Johannes Gutenberg University, Center for Cardiology, Cardiology I, Mainz, Germany
| | - Ole Raaschou-Nielsen
- Environment and Cancer, Danish Cancer Society Research Center, Strandboulevarden 49, 2100 Copenhagen, Denmark; Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000 Roskilde, Denmark
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20
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Rossignol P, Duarte K, Bresso E, A Å, Devignes MD, Eriksson N, Girerd N, Glerup R, Jardine AG, Holdaas H, Lamiral Z, Leroy C, Massy Z, März W, Krämer B, Wu PH, Schmieder R, Soveri I, Christensen JH, Svensson M, Zannad F, Fellström B. NT-proBNP and stem cell factor plasma concentrations are independently associated with cardiovascular outcomes in end-stage renal disease hemodialysis patients. Eur Heart J Open 2022; 2:oeac069. [PMID: 36600882 PMCID: PMC9797490 DOI: 10.1093/ehjopen/oeac069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 09/14/2022] [Accepted: 10/24/2022] [Indexed: 11/11/2022]
Abstract
Aims End-stage renal disease (ESRD) treated by chronic hemodialysis (HD) is associated with poor cardiovascular (CV) outcomes, with no available evidence-based therapeutics. A multiplexed proteomic approach may identify new pathophysiological pathways associated with CV outcomes, potentially actionable for precision medicine. Methods and results The AURORA trial was an international, multicentre, randomized, double-blind trial involving 2776 patients undergoing maintenance HD. Rosuvastatin vs. placebo had no significant effect on the composite primary endpoint of death from CV causes, nonfatal myocardial infarction or nonfatal stroke. We first compared CV risk-matched cases and controls (n = 410) to identify novel biomarkers using a multiplex proximity extension immunoassay (276 proteomic biomarkers assessed with OlinkTM). We replicated our findings in 200 unmatched cases and 200 controls. External validation was conducted from a multicentre real-life Danish cohort [Aarhus-Aalborg (AA), n = 331 patients] in which 92 OlinkTM biomarkers were assessed. In AURORA, only N-terminal pro-brain natriuretic peptide (NT-proBNP, positive association) and stem cell factor (SCF) (negative association) were found consistently associated with the trial's primary outcome across exploration and replication phases, independently from the baseline characteristics. Stem cell factor displayed a lower added predictive ability compared with NT-ProBNP. In the AA cohort, in multivariable analyses, BNP was found significantly associated with major CV events, while higher SCF was associated with less frequent CV deaths. Conclusions Our findings suggest that NT-proBNP and SCF may help identify ESRD patients with respectively high and low CV risk, beyond classical clinical predictors and also point at novel pathways for prevention and treatment.
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Affiliation(s)
- P Rossignol
- Corresponding author. Tel: +33383157322, Fax: +33383157324,
| | - K Duarte
- Université de Lorraine, Inserm, Centre d’Investigations Cliniques- 1433, and Inserm U1116, CHRU Nancy, F-CRIN INI-CRCT, 4, rue du Morvan, 54500 Nancy, France
| | - E Bresso
- Université de Lorraine, Inserm, Centre d’Investigations Cliniques- 1433, and Inserm U1116, CHRU Nancy, F-CRIN INI-CRCT, 4, rue du Morvan, 54500 Nancy, France,LORIA (CNRS, Inria NGE, Université de Lorraine), F-CRIN INI-CRCT, Vandœuvre-lès-Nancy, France
| | - Åsberg A
- Department of Transplantation Medicine Oslo University Hospital–Rikshospitalet, Oslo, Norway,Norway and Department of Pharmaceutical Biosciences, School of Pharmacy, University of Oslo, Oslo, Norway
| | - M D Devignes
- LORIA (CNRS, Inria NGE, Université de Lorraine), F-CRIN INI-CRCT, Vandœuvre-lès-Nancy, France
| | - N Eriksson
- UCR Uppsala Clinical Research Center, Uppsala Science Park, Uppsala, Sweden
| | - N Girerd
- Université de Lorraine, Inserm, Centre d’Investigations Cliniques- 1433, and Inserm U1116, CHRU Nancy, F-CRIN INI-CRCT, 4, rue du Morvan, 54500 Nancy, France
| | - R Glerup
- Department of Nephrology, Aalborg University Hospital, Aalborg, Denmark
| | - A G Jardine
- Renal Research Group, British Heart Foundation Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | | | - Z Lamiral
- Université de Lorraine, Inserm, Centre d’Investigations Cliniques- 1433, and Inserm U1116, CHRU Nancy, F-CRIN INI-CRCT, 4, rue du Morvan, 54500 Nancy, France
| | - C Leroy
- Université de Lorraine, Inserm, Centre d’Investigations Cliniques- 1433, and Inserm U1116, CHRU Nancy, F-CRIN INI-CRCT, 4, rue du Morvan, 54500 Nancy, France
| | - Z Massy
- CESP, Center for Research in Epidemiology and Population Health, University Paris-Saclay, University Paris-Sud, UVSQ, Villejuif, France,Division of Nephrology, Ambroise Paré University Hospital, APHP, Boulogne, Billancourt and FCRIN INI-CRCT, Paris, France
| | - W März
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria,Mannheim Institute of Public Health, Social and Preventive Medicine, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany,SYNLAB Academy, SYNLAB Holding Deutschland GmbH, Mannheim and Augsburg, Germany
| | - B Krämer
- Medical Clinic V, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - P H Wu
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden,Division of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - R Schmieder
- Department of Nephrology and Hypertension, University Hospital Erlangen, Erlangen, Germany
| | - I Soveri
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - J H Christensen
- Department of Nephrology, Aalborg University Hospital, Aalborg, Denmark
| | - M Svensson
- Department of Nephrology, Aarhus University Hospital, Aarhus, Denmark
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21
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Shen Y, de Hoogh K, Schmitz O, Clinton N, Tuxen-Bettman K, Brandt J, Christensen JH, Frohn LM, Geels C, Karssenberg D, Vermeulen R, Hoek G. Europe-wide air pollution modeling from 2000 to 2019 using geographically weighted regression. Environ Int 2022; 168:107485. [PMID: 36030744 DOI: 10.1016/j.envint.2022.107485] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 08/19/2022] [Accepted: 08/19/2022] [Indexed: 06/15/2023]
Abstract
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.
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Affiliation(s)
- Youchen Shen
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands.
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Oliver Schmitz
- Department of Physical Geography, Faculty of Geosciences, Utrecht University, Utrecht, the Netherlands
| | | | | | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | | | - Lise M Frohn
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Camilla Geels
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Derek Karssenberg
- Department of Physical Geography, Faculty of Geosciences, Utrecht University, Utrecht, the Netherlands
| | - Roel Vermeulen
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands; Julius Centre for Health Sciences and Primary Care, University Medical Centre, Utrecht University, Utrecht, the Netherlands
| | - Gerard Hoek
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
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22
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Dastoor A, Wilson SJ, Travnikov O, Ryjkov A, Angot H, Christensen JH, Steenhuisen F, Muntean M. Arctic atmospheric mercury: Sources and changes. Sci Total Environ 2022; 839:156213. [PMID: 35623517 DOI: 10.1016/j.scitotenv.2022.156213] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 05/17/2022] [Accepted: 05/20/2022] [Indexed: 06/15/2023]
Abstract
Global anthropogenic and legacy mercury (Hg) emissions are the main sources of Arctic Hg contamination, primarily transported there via the atmosphere. This review summarizes the state of knowledge of the global anthropogenic sources of Hg emissions, and examines recent changes and source attribution of Hg transport and deposition to the Arctic using models. Estimated global anthropogenic Hg emissions to the atmosphere for 2015 were ~2220 Mg, ~20% higher than 2010. Global anthropogenic, legacy and geogenic Hg emissions were, respectively, responsible for 32%, 64% (wildfires: 6-10%) and 4% of the annual Arctic Hg deposition. Relative contributions to Arctic deposition of anthropogenic origin was dominated by sources in East Asia (32%), Commonwealth of Independent States (12%), and Africa (12%). Model results exhibit significant spatiotemporal variations in Arctic anthropogenic Hg deposition fluxes, driven by regional differences in Hg air transport routes, surface and precipitation uptake rates, and inter-seasonal differences in atmospheric circulation and deposition pathways. Model simulations reveal that changes in meteorology are having a profound impact on contemporary atmospheric Hg in the Arctic. Reversal of North Atlantic Oscillation phase from strongly negative in 2010 to positive in 2015, associated with lower temperature and more sea ice in the Canadian Arctic, Greenland and surrounding ocean, resulted in enhanced production of bromine species and Hg(0) oxidation and lower evasion of Hg(0) from ocean waters in 2015. This led to increased Hg(II) (and its deposition) and reduced Hg(0) air concentrations in these regions in line with High Arctic observations. However, combined changes in meteorology and anthropogenic emissions led to overall elevated modeled Arctic air Hg(0) levels in 2015 compared to 2010 contrary to observed declines at most monitoring sites, likely due to uncertainties in anthropogenic emission speciation, wildfire emissions and model representations of air-surface Hg fluxes.
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Affiliation(s)
- Ashu Dastoor
- Air Quality Research Division, Environment and Climate Change Canada, 2121 Trans-Canada Highway, Dorval, Québec H9P 1J3, Canada.
| | - Simon J Wilson
- Arctic Monitoring and Assessment Programme (AMAP). The Fram Centre, Box 6606 Stakkevollan, 9296 Tromsø, Norway.
| | - Oleg Travnikov
- Meteorological Synthesizing Centre-East, EMEP, 2nd Roshchinsky proezd, 8/5, 115419 Moscow, Russia
| | - Andrei Ryjkov
- Air Quality Research Division, Environment and Climate Change Canada, 2121 Trans-Canada Highway, Dorval, Québec H9P 1J3, Canada
| | - Hélène Angot
- Extreme Environments Research Laboratory, École Polytechnique Fédérale de Lausanne (EPFL) Valais Wallis, Sion, Switzerland
| | - Jesper H Christensen
- Department of Environmental Science, iClimate, Aarhus University, Frederiksborgvej 399, 4000 Roskilde, Denmark
| | - Frits Steenhuisen
- Arctic Centre, University of Groningen, Aweg 30, 9718CW Groningen, the Netherlands
| | - Marilena Muntean
- European Commission, Joint Research Centre (JRC), Via E. Fermi 2749 (T.P. 123), I-21027 Ispra, VA, Italy
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23
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Hansen KM, Fauser P, Vorkamp K, Christensen JH. Corrigendum to "Global emissions of Dechlorane Plus" [Sci. Total. Environ. 742 (2020) 140677]. Sci Total Environ 2022; 839:156170. [PMID: 35668606 DOI: 10.1016/j.scitotenv.2022.156170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Affiliation(s)
- Kaj M Hansen
- Department of Environmental Science, Aarhus University, Roskilde, Denmark.
| | - Patrik Fauser
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Katrin Vorkamp
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
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24
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Thacher JD, Poulsen AH, Raaschou-Nielsen O, Hvidtfeldt UA, Brandt J, Christensen JH, Khan J, Levin G, Münzel T, Sørensen M. Exposure to transportation noise and risk for cardiovascular disease in a nationwide cohort study from Denmark. Environ Res 2022; 211:113106. [PMID: 35304113 DOI: 10.1016/j.envres.2022.113106] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 02/04/2022] [Accepted: 03/08/2022] [Indexed: 05/26/2023]
Abstract
BACKGROUND Transportation noise increases the risk of ischemic heart disease (IHD), but few studies have investigated subtypes of IHD, such as myocardial infarction (MI), angina pectoris, or heart failure. We aimed to study whether exposure to road, railway and aircraft noise increased risk for ischemic heart disease (IHD), IHD subtypes, and heart failure in the entire adult Danish population, investigating exposures at both maximum exposed and silent façades of each residence. METHODS We modelled road, railway, and aircraft noise at the most and least exposed façades for the period 1995-2017 for all addresses in Denmark and calculated 10-year time-weighted running means for 2.5 million individuals age ≥50 years, of whom 122,523 developed IHD and 79,358 developed heart failure during follow-up (2005-2017). Data were analyzed using Cox proportional hazards models, adjusted for individual and area-level sociodemographic covariates and air pollution. RESULTS We found road traffic noise at the most exposed façade (Lden) to be associated with higher risk of IHD, myocardial infarction (MI), angina pectoris, and heart failure, with hazard ratios (HRs) (95% confidence intervals (CI)) of 1.052 (1.044-1.059), 1.041 (1.032-1.051), 1.095 (1.071-1.119), and 1.039 (1.033-1.045) per 10 dB higher 10-year mean exposure, respectively. These associations followed a near-linear exposure-response relationship and were robust to adjustment for air pollution with PM2.5. Railway noise at the least exposed façade was associated with heart failure (HR 1.28; 95% CI: 1.004-1.053), but not the other outcomes. Exposure to aircraft noise (>45 dB) seemed associated with increased risk for MI and heart failure. CONCLUSIONS We found road traffic noise and potentially railway and aircraft noise to increase risk of various major cardiovascular outcomes, highlighting the importance of preventive actions towards transportation noise.
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Affiliation(s)
- Jesse D Thacher
- Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark.
| | - Aslak H Poulsen
- Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Ole Raaschou-Nielsen
- Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark; Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Ulla A Hvidtfeldt
- Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; iClimate, Interdisciplinary Centre for Climate Change, Aarhus University, Roskilde, Denmark
| | | | - Jibran Khan
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, Roskilde, Denmark
| | - Gregor Levin
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Thomas Münzel
- University Medical Center Mainz of the Johannes Gutenberg University, Center for Cardiology, Cardiology I, Mainz, Germany
| | - Mette Sørensen
- Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark; Department of Natural Science and Environment, Roskilde University, Roskilde, Denmark
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25
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Plana-Ripoll O, Dreier JW, Momen NC, Prior A, Weye N, Mortensen PB, Pedersen CB, Iburg KM, Christensen MK, Laursen TM, Agerbo E, Pedersen MG, Brandt J, Frohn LM, Geels C, Christensen JH, McGrath JJ. Analysis of mortality metrics associated with a comprehensive range of disorders in Denmark, 2000 to 2018: A population-based cohort study. PLoS Med 2022; 19:e1004023. [PMID: 35709252 PMCID: PMC9202944 DOI: 10.1371/journal.pmed.1004023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 05/17/2022] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND The provision of different types of mortality metrics (e.g., mortality rate ratios [MRRs] and life expectancy) allows the research community to access a more informative set of health metrics. The aim of this study was to provide a panel of mortality metrics associated with a comprehensive range of disorders and to design a web page to visualize all results. METHODS AND FINDINGS In a population-based cohort of all 7,378,598 persons living in Denmark at some point between 2000 and 2018, we identified individuals diagnosed at hospitals with 1,803 specific categories of disorders through the International Classification of Diseases-10th Revision (ICD-10) in the National Patient Register. Information on date and cause of death was obtained from the Registry of Causes of Death. For each of the disorders, a panel of epidemiological and mortality metrics was estimated, including incidence rates, age-of-onset distributions, MRRs, and differences in life expectancy (estimated as life years lost [LYLs]). Additionally, we examined models that adjusted for measures of air pollution to explore potential associations with MRRs. We focus on 39 general medical conditions to simplify the presentation of results, which cover 10 broad categories: circulatory, endocrine, pulmonary, gastrointestinal, urogenital, musculoskeletal, hematologic, mental, and neurologic conditions and cancer. A total of 3,676,694 males and 3,701,904 females were followed up for 101.7 million person-years. During the 19-year follow-up period, 1,034,273 persons (14.0%) died. For 37 of the 39 selected medical conditions, mortality rates were larger and life expectancy shorter compared to the Danish general population. For these 37 disorders, MRRs ranged from 1.09 (95% confidence interval [CI]: 1.09 to 1.10) for vision problems to 7.85 (7.77 to 7.93) for chronic liver disease, while LYLs ranged from 0.31 (0.14 to 0.47) years (approximately 16 weeks) for allergy to 17.05 (16.95 to 17.15) years for chronic liver disease. Adjustment for air pollution had very little impact on the estimates; however, a limitation of the study is the possibility that the association between the different disorders and mortality could be explained by other underlying factors associated with both the disorder and mortality. CONCLUSIONS In this study, we show estimates of incidence, age of onset, age of death, and mortality metrics (both MRRs and LYLs) for a comprehensive range of disorders. The interactive data visualization site (https://nbepi.com/atlas) allows more fine-grained analysis of the link between a range of disorders and key mortality estimates.
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Affiliation(s)
- Oleguer Plana-Ripoll
- National Centre for Register-based Research, Aarhus University, Aarhus, Denmark
- Department of Clinical Epidemiology, Aarhus University and Aarhus University Hospital, Aarhus, Denmark
- * E-mail:
| | - Julie W. Dreier
- National Centre for Register-based Research, Aarhus University, Aarhus, Denmark
- Department of Clinical Medicine, University of Bergen, Norway
| | - Natalie C. Momen
- National Centre for Register-based Research, Aarhus University, Aarhus, Denmark
| | - Anders Prior
- Research Unit for General Practice, Aarhus, Denmark
- Department of Public Health, Aarhus University, Aarhus, Denmark
| | - Nanna Weye
- National Centre for Register-based Research, Aarhus University, Aarhus, Denmark
| | - Preben Bo Mortensen
- National Centre for Register-based Research, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Centre for Integrated Register-based Research at Aarhus University, Aarhus, Denmark
| | - Carsten B. Pedersen
- National Centre for Register-based Research, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Centre for Integrated Register-based Research at Aarhus University, Aarhus, Denmark
- Big Data Centre for Environment and Health, Aarhus University, Aarhus, Denmark
| | | | - Maria Klitgaard Christensen
- National Centre for Register-based Research, Aarhus University, Aarhus, Denmark
- Department of Public Health, Aarhus University, Aarhus, Denmark
| | - Thomas Munk Laursen
- National Centre for Register-based Research, Aarhus University, Aarhus, Denmark
| | - Esben Agerbo
- National Centre for Register-based Research, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Centre for Integrated Register-based Research at Aarhus University, Aarhus, Denmark
| | - Marianne G. Pedersen
- National Centre for Register-based Research, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Centre for Integrated Register-based Research at Aarhus University, Aarhus, Denmark
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
- iClimate, Interdisciplinary Centre of Climate Change, Aarhus University, Roskilde, Denmark
| | - Lise Marie Frohn
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Camilla Geels
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | | | - John J. McGrath
- National Centre for Register-based Research, Aarhus University, Aarhus, Denmark
- Queensland Centre for Mental Health Research, The Park Centre for Mental Health, Queensland, Australia
- Queensland Brain Institute, University of Queensland, St Lucia, Queensland, Australia
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26
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Raaschou-Nielsen O, Taj T, Poulsen AH, Hvidtfeldt UA, Ketzel M, Christensen JH, Brandt J, Frohn LM, Geels C, Valencia VH, Sørensen M. Air pollution at the residence of Danish adults, by socio-demographic characteristics, morbidity, and address level characteristics. Environ Res 2022; 208:112714. [PMID: 35031338 DOI: 10.1016/j.envres.2022.112714] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Revised: 12/23/2021] [Accepted: 01/07/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND Exposure to outdoor air pollution is associated with adverse health effects. Previous studies have indicated higher levels of air pollution in socially deprived areas. AIM To investigate associations between air pollution and socio-demographic variables, comorbidity, stress, and green space at the residence in Denmark. METHODS We included 2,237,346 persons living in Denmark, aged 35 years or older in 2017. We used the high resolution, multi-scale DEHM/UBM/AirGIS air pollution modelling system to calculate mean concentrations of air pollution with PM2.5, elemental carbon, ultrafine particles and NO2 at residences held the preceding five years. We used nationwide registries to retrieve information about socio-demographic indicators at the individual and neighborhood levels. We used general linear regression models to analyze associations between socio-demographic indicators and air pollution at the residence. RESULTS Individuals with high SES (income, higher white-collar worker and high educational level) and of non-Danish origin were exposed to higher levels of air pollution than individuals of low SES and of Danish origin, respectively. We found comparable levels of air pollution according to sex, stress events and morbidity. For neighborhood level SES indicators, we found high air pollution levels in neighborhoods with low SES measured as proportion of social housing, sole providers, low income and unemployment. In contrast, we found higher air pollution levels in neighborhoods with higher educational level and a low proportion of manual labor. People living in an apartment and/or with little green space had higher air pollution levels. CONCLUSION In Denmark, high levels of residential air pollution were associated with higher individual SES and non-Danish origin. For neighborhood-level indicators of SES, no consistent pattern was observed. These results highlight the need for analyzing many different socio-demographic indicators to understand the complex associations between SES and exposure to air pollution.
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Affiliation(s)
- Ole Raaschou-Nielsen
- Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark; Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark.
| | - Tahir Taj
- Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark
| | - Aslak H Poulsen
- Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark
| | - Ulla A Hvidtfeldt
- Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark; Global Centre for Clean Air Research (GCARE), Department of Civil and Environmental Engineering, University of Surrey, Guildford, UK
| | - Jesper H Christensen
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark; IClimate - Interdisciplinary Centre for Climate Change, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark
| | - Lise M Frohn
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark
| | - Camilla Geels
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark
| | - Victor H Valencia
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark
| | - Mette Sørensen
- Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark; Department of Natural Science and Environment, Roskilde University, Universitetsvej 1, 4000, Roskilde, Denmark
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Sørensen M, Poulsen AH, Hvidtfeldt UA, Frohn LM, Ketzel M, Christensen JH, Brandt J, Geels C, Raaschou-Nielsen O. Exposure to source-specific air pollution and risk for type 2 diabetes: a nationwide study covering Denmark. Int J Epidemiol 2022; 51:1219-1229. [PMID: 35285908 DOI: 10.1093/ije/dyac040] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Accepted: 03/01/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Only few epidemiological studies have investigated whether chronic exposure to air pollution from different sources have different impacts on risk of diabetes. We aimed to investigate associations between air pollution from traffic versus non-traffic sources and risk of type 2 diabetes in the Danish population. METHODS We estimated long-term exposure to traffic and non-traffic contributions of particulate matter with a diameter <2.5 µg (PM2.5), elemental carbon (EC), ultrafine particles (UFP) and nitrogen dioxide (NO2) for all persons living in Denmark for the period 2005-17. In total, 2.6 million persons aged >35 years were included, of whom 148 020 developed type 2 diabetes during follow-up. We applied Cox proportional hazards models for analyses, using 5-year time-weighted running means of air pollution and adjustment for individual- and area-level demographic and socioeconomic covariates. RESULTS We found that 5-year exposure to all particle measures (PM2.5, UFP and EC) and NO2 were associated with higher type 2 diabetes risk. We observed that for UFP, EC and potentially PM2.5, the pollution originating from traffic was associated with higher risks than the non-traffic contributions, whereas for NO2 similar hazard ratios (HR) were observed. For example, in two-source models, hazard ratios (HRs) per interquartile change in traffic UFP, EC and PM2.5 were 1.025, 1.045 and 1.036, respectively, whereas for non-traffic UFP, EC and PM2.5, the HRs were 1.013, 1.018 and 1.001, respectively. CONCLUSIONS Our finding of stronger associations with particulate matter from traffic compared with non-traffic sources implies that prevention strategies should focus on limiting traffic-related particulate matter air pollution.
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Affiliation(s)
- Mette Sørensen
- Work, Environment and Cancer, Danish Cancer Society Research Center, Copenhagen, Denmark.,Department of Natural Science and Environment, Roskilde University, Roskilde, Denmark
| | - Aslak H Poulsen
- Work, Environment and Cancer, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Ulla A Hvidtfeldt
- Work, Environment and Cancer, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Lise M Frohn
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark.,Global Centre for Clean Air Research (GCARE), Department of Civil and Environmental Engineering, University of Surrey, Guildford, UK
| | | | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark.,iClimate-Interdisciplinary Centre for Climate Change, Aarhus University, Roskilde, Denmark
| | - Camilla Geels
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Ole Raaschou-Nielsen
- Work, Environment and Cancer, Danish Cancer Society Research Center, Copenhagen, Denmark.,Department of Environmental Science, Aarhus University, Roskilde, Denmark
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Thomas DC, Christensen JH, Massling A, Pernov JB, Skov H. The effect of the 2020 COVID-19 lockdown on atmospheric black carbon levels in northeastern Greenland. Atmos Environ (1994) 2022; 269:118853. [PMID: 34803467 PMCID: PMC8592639 DOI: 10.1016/j.atmosenv.2021.118853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Revised: 11/09/2021] [Accepted: 11/13/2021] [Indexed: 06/13/2023]
Abstract
The outbreak of SARS-CoV-2 and subsequent spread of the disease COVID-19 became classified as a pandemic in March of 2020, leading to global safety measures introduced to limit the impact of the virus. This combination of safety measures has become commonly referred to as "lockdown". The associated industry and lifestyle changes led to reductions in the anthropogenic emission of atmospheric pollutants such as black carbon (BC), which is transported from the mid-latitudes into the Arctic during the winter and spring. Measurements of BC and other anthropogenic pollutants are of increasing importance in the Arctic due to the rapid warming observed there in the past few decades. It is believed that BC has a significant role in this warming, and so understanding the Arctic's response to reduced BC emissions at lower latitudes will provide insight into how future changes might mitigate further warming. Reductions in BC have been reported worldwide, and so in this study, the impact of these reductions on BC concentrations at the High Arctic site Villum Research Station was investigated. The effect was examined from March 2020, around when global lockdowns began, to June 2020, when the Arctic haze period ended and BC levels were once again low. Firstly, the Danish Eulerian Hemispheric Model (DEHM) was used to assess this impact on BC concentrations by adjusting global anthropogenic pollution emission inventories to simulate those observed during the lockdown period and comparing the results to a similar model run with standard emission inventories. Secondly, equivalent BC data from an aethalometer at Villum Research Station were analysed, comparing the concentrations during the lockdown period to both aethalometer data from previous years and DEHM results from the lockdown period. It was found that when adjusted DEHM emission inventories were introduced from the 1st of March, the model predicted a reduction in BC concentrations beginning on the 10th of March and reached a 10% reduction by the 1st of April. This reduction fluctuated around 10% until the end of the Arctic haze period. Aethalometer data did not show any significant change from previous years, and no concentration reduction could be concluded from its comparison with DEHM results. This is likely because the predicted reduction of 10% is smaller than both the inter-annual and intra-annual variability of measured BC concentrations at Villum.
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Affiliation(s)
- Daniel Charles Thomas
- Department of Environmental Science, iClimate, Arctic Research Center, Aarhus University, Roskilde, Denmark
| | - Jesper H Christensen
- Department of Environmental Science, iClimate, Arctic Research Center, Aarhus University, Roskilde, Denmark
| | - Andreas Massling
- Department of Environmental Science, iClimate, Arctic Research Center, Aarhus University, Roskilde, Denmark
| | - Jakob Boyd Pernov
- Department of Environmental Science, iClimate, Arctic Research Center, Aarhus University, Roskilde, Denmark
| | - Henrik Skov
- Department of Environmental Science, iClimate, Arctic Research Center, Aarhus University, Roskilde, Denmark
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29
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Sørensen M, Hvidtfeldt UA, Poulsen AH, Thygesen LC, Frohn LM, Ketzel M, Christensen JH, Brandt J, Khan J, Raaschou-Nielsen O. The effect of adjustment to register-based and questionnaire-based covariates on the association between air pollution and cardiometabolic disease. Environ Res 2022; 203:111886. [PMID: 34411546 DOI: 10.1016/j.envres.2021.111886] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Revised: 08/10/2021] [Accepted: 08/11/2021] [Indexed: 05/23/2023]
Abstract
OBJECTIVE Recent studies on air pollution and disease have been based on millions of participants within a region or country, relying entirely on register-based confounder adjustment. We aimed to investigate the effects of increasing adjustment for register- and questionnaire-based covariates on the association between air pollution and cardiometabolic diseases. METHODS In a population-based cohort of 246,766 eligible participants randomly selected across Denmark in 2010 and 2013 and followed up until December 31, 2017, we identified 3,247 myocardial infarction (MI) cases, 4,166 stroke cases and 6,366 type 2 diabetes cases. Based on historical address-information, we calculated 5-year time-weighted exposure to PM2.5 and NO2 modelled using a validated air pollution model. We used Cox proportional hazards models to calculate hazard ratios (HR) with increasing adjustment for a number of individual- and area-level register-based covariates as well as lifestyle covariates assessed through questionnaires. RESULTS We found that a 5 μg/m3 higher PM2.5 was associated with HRs (95% CI) for MI, stroke and diabetes, of respectively, 1.18 (0.91-1.52), 1.11 (0.88-1.40) and 1.24 (1.03-1.50) in the fully adjusted models. For all three diseases, adjustment for either individual-level, area-level or lifestyle covariates, or combinations of these resulted in higher HRs compared to HRs adjusted only for age, sex and calendar-year, most marked for MI and diabetes. Further adjustment for lifestyle in models with full register-based individual- and area-level adjustment resulted in only minor changes in HRs for all three diseases. CONCLUSIONS Our findings suggest that in studies of air pollution and cardiometabolic disease, which use an adjustment strategy with a broad range of register-based socioeconomic variables, there is no effect on risk estimates from subsequent lifestyle adjustment.
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Affiliation(s)
- Mette Sørensen
- Diet, Genes and Environment, Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark; Department of Natural Science and Environment, Roskilde University, Universitetsvej 1, 4000, Roskilde, Denmark.
| | - Ulla Arthur Hvidtfeldt
- Diet, Genes and Environment, Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark
| | - Aslak Harbo Poulsen
- Diet, Genes and Environment, Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark
| | - Lau Caspar Thygesen
- National Institute of Public Health, University of Southern Denmark, Studiestræde 6, 1455, Copenhagen, Denmark
| | - Lise M Frohn
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark; Global Centre for Clean Air Research (GCARE), Department of Civil and Environmental Engineering, University of Surrey, Guildford, UK
| | - Jesper H Christensen
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark; IClimate - Interdisciplinary Centre for Climate Change, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark
| | - Jibran Khan
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark; Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark
| | - Ole Raaschou-Nielsen
- Diet, Genes and Environment, Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark; Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark
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30
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Soussi BG, Cordtz RL, Kristensen S, Bork CS, Christensen JH, Schmidt EB, Torp-Pedersen C, Prieto-Alhambra D, Dreyer L. Incidence and prevalence of rheumatoid arthritis in Denmark from 1998 to 2018: a nationwide register-based study. Scand J Rheumatol 2021; 51:481-489. [PMID: 34913402 DOI: 10.1080/03009742.2021.1957557] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Objective: To investigate the incidence and prevalence of rheumatoid arthritis (RA) in the adult Danish population.Method: In this nationwide register-based cohort study, patients with incident RA between 1998 and the end of 2018 were identified using Danish administrative registries. The age- and sex-standardized incidence rate (IR), incidence proportion (IP), lifetime risk (LR), and point prevalence (PP) of RA were calculated. RA was defined as a first-time RA diagnosis registered in the Danish National Patient Registry combined with a redeemed prescription of a conventional synthetic disease-modifying anti-rheumatic drug in the following year. In addition, three different case definitions of RA were explored.Results: The overall age- and sex-standardized IR of RA from 1998 to 2018 was 35.5 [95% confidence interval (CI) 35.1-35.9] per 100 000 person-years while the IP was 35.2 (95% CI 34.8-35.5) per 100 000 individuals. The IR was two-fold higher for women than for men. The LR of RA ranged from 2.3% to 3.4% for women and from 1.1% to 1.5% for men, depending on the RA case definition used. The overall PP of RA was 0.6% (95% CI 0.5-0.6%) in 2018: 0.8% (95% CI 0.7-0.8%) for women and 0.3% (95% CI 0.3-0.4%) for men. The prevalence increased about 1.5-fold from 2000 to 2018.Conclusion: The IR and PP were approximately two-fold higher for women than for men. The prevalence of RA in Denmark increased significantly from 2000 to 2018. The RA case definition had more impact on the results than the choice of denominator.
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Affiliation(s)
- B G Soussi
- Department of Rheumatology, Aalborg University Hospital, Aalborg, Denmark
| | - R L Cordtz
- Department of Rheumatology, Aalborg University Hospital, Aalborg, Denmark
| | - S Kristensen
- Department of Rheumatology, Aalborg University Hospital, Aalborg, Denmark.,Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - C S Bork
- Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark
| | - J H Christensen
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark.,Department of Nephrology, Aalborg University Hospital, Aalborg, Denmark
| | - E B Schmidt
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark.,Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark
| | - C Torp-Pedersen
- Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark.,Department of Cardiology, Nordsjælland Hospital, Hillerød, Denmark.,Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - D Prieto-Alhambra
- Musculoskeletal Pharmaco- and Device Epidemiology, Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - L Dreyer
- Department of Rheumatology, Aalborg University Hospital, Aalborg, Denmark.,Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
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Horwitz S, O'Connor OA, Pro B, Trümper L, Iyer S, Advani R, Bartlett NL, Christensen JH, Morschhauser F, Domingo-Domenech E, Rossi G, Kim WS, Feldman T, Menne T, Belada D, Illés Á, Tobinai K, Tsukasaki K, Yeh SP, Shustov A, Hüttmann A, Savage KJ, Yuen S, Zinzani PL, Miao H, Bunn V, Fenton K, Fanale M, Puhlmann M, Illidge T. The ECHELON-2 Trial: 5-year results of a randomized, phase 3 study of brentuximab vedotin with chemotherapy for CD30-positive peripheral T-cell lymphoma. Ann Oncol 2021; 33:288-298. [PMID: 34921960 PMCID: PMC9447792 DOI: 10.1016/j.annonc.2021.12.002] [Citation(s) in RCA: 75] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 11/12/2021] [Accepted: 12/07/2021] [Indexed: 01/18/2023] Open
Abstract
Background: For patients with peripheral T-cell lymphoma (PTCL), outcomes using frontline treatment with cyclophosphamide, doxorubicin, vincristine, and prednisone (CHOP) or CHOP-like therapy are typically poor. The ECHELON-2 study demonstrated that brentuximab vedotin plus cyclophosphamide, doxorubicin, and prednisone (A+CHP) exhibited statistically superior progression-free survival (PFS) per independent central review and improvements in overall survival versus CHOP for the frontline treatment of patients with systemic anaplastic large cell lymphoma or other CD30-positive PTCL. Patients and methods: ECHELON-2 is a double-blind, double-dummy, randomized, placebo-controlled, active-comparator phase III study. We present an exploratory update of the ECHELON-2 study, including an analysis of 5-year PFS per investigator in the intent-to-treat analysis group. Results: A total of 452 patients were randomized (1 : 1) to six or eight cycles of A+CHP (N = 226) or CHOP (N = 226). At median follow-up of 47.6 months, 5-year PFS rates were 51.4% [95% confidence interval (CI): 42.8% to 59.4%] with A+CHP versus 43.0% (95% CI: 35.8% to 50.0%) with CHOP (hazard ratio = 0.70; 95% CI: 0.53–0.91), and 5-year overall survival (OS) rates were 70.1% (95% CI: 63.3% to 75.9%) with A+CHP versus 61.0% (95% CI: 54.0% to 67.3%) with CHOP (hazard ratio = 0.72; 95% CI: 0.53–0.99). Both PFS and OS were generally consistent across key subgroups. Peripheral neuropathy was resolved or improved in 72% (84/117) of patients in the A+CHP arm and 78% (97/124) in the CHOP arm. Among patients who relapsed and subsequently received brentuximab vedotin, the objective response rate was 59% with brentuximab vedotin retreatment after A+CHP and 50% with subsequent brentuximab vedotin after CHOP. Conclusions: In this 5-year update of ECHELON-2, frontline treatment of patients with PTCL with A+CHP continues to provide clinically meaningful improvement in PFS and OS versus CHOP, with a manageable safety profile, including continued resolution or improvement of peripheral neuropathy.
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Affiliation(s)
- S Horwitz
- Memorial Sloan Kettering Cancer Center, New York, New York, USA.
| | - O A O'Connor
- University of Virginia Cancer Center, University of Virginia, Charlottesville, Virginia, USA
| | - B Pro
- Division of Hematology and Oncology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - L Trümper
- Universitätsmedizin Göttingen, Göttingen, Germany
| | - S Iyer
- MD Anderson Cancer Center/University of Texas, Houston, Texas, USA
| | - R Advani
- Stanford Cancer Center, Blood and Marrow Transplant Program, Stanford, California, USA
| | - N L Bartlett
- Washington University School of Medicine, St. Louis, Missouri, USA
| | | | | | - E Domingo-Domenech
- Institut Catala D'oncologia, L'Hospitalet de Llobregat, Barcelona, Spain
| | - G Rossi
- Azienda Ospedaliera Spedali Civili di Brescia, Brescia, Italy
| | - W S Kim
- Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Republic of Korea
| | - T Feldman
- John Theurer Cancer Center, Hackensack Meridian Health School of Medicine, Hackensack NJ
| | - T Menne
- Freeman Hospital, Newcastle upon Tyne, England
| | - D Belada
- 4th Department of Internal Medicine - Hematology, University Hospital Hradec Králové, Czech Republic and Charles University in Prague, Faculty of Medicine in Hradec Kralove, Czech Republic
| | - Á Illés
- Debreceni Egyetem, Debrecen, Hajdu-Bihar, Hungary
| | - K Tobinai
- National Cancer Center Hospital, Tokyo, Japan
| | - K Tsukasaki
- Saitama Medical University International Medical Center, Saitama, Japan
| | - S-P Yeh
- China Medical University Hospital, Taichung, Taiwan
| | - A Shustov
- University of Washington Medical Center, Seattle, Washington, USA
| | - A Hüttmann
- Universitatsklinikum Essen, Essen, Nordrhein-Westfalen, Germany
| | - K J Savage
- Department of Medical Oncology and University of British Columbia, BC Cancer, Vancouver, British Columbia, Canada
| | - S Yuen
- Calvary Mater Newcastle Hospital, Australia
| | - P L Zinzani
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia "Seràgnoli"; Dipartimento di Medicina Specialistica, Diagnostica e Sperimentale, Università di Bologna, Bologna, Italia
| | - H Miao
- Millennium Pharmaceuticals, Inc., Cambridge, Massachusetts, USA, a wholly owned subsidiary of Takeda Pharmaceuticals Limited
| | - V Bunn
- Millennium Pharmaceuticals, Inc., Cambridge, Massachusetts, USA, a wholly owned subsidiary of Takeda Pharmaceuticals Limited
| | - K Fenton
- Seagen Inc., Bothell, Washington, USA
| | - M Fanale
- Seagen Inc., Bothell, Washington, USA
| | | | - T Illidge
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, NIHR Biomedical Research Centre, Manchester Academic Health Sciences Centre, Christie Hospital NHS Foundation Trust, Manchester, UK
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32
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Cole-Hunter T, Dehlendorff C, Amini H, Mehta A, Lim YH, Jørgensen JT, Li S, So R, Mortensen LH, Westendorp R, Hoffmann B, Bräuner EV, Ketzel M, Hertel O, Brandt J, Jensen SS, Christensen JH, Geels C, Frohn LM, Backalarz C, Simonsen MK, Loft S, Andersen ZJ. Long-term exposure to road traffic noise and stroke incidence: a Danish Nurse Cohort study. Environ Health 2021; 20:115. [PMID: 34740347 PMCID: PMC8571835 DOI: 10.1186/s12940-021-00802-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Accepted: 10/26/2021] [Indexed: 05/07/2023]
Abstract
BACKGROUND Road traffic noise has been linked to increased risk of ischemic heart disease, yet evidence on stroke shows mixed results. We examine the association between long-term exposure to road traffic noise and incidence of stroke, overall and by subtype (ischemic or hemorrhagic), after adjustment for air pollution. METHODS Twenty-five thousand six hundred and sixty female nurses from the Danish Nurse Cohort recruited in 1993 or 1999 were followed for stroke-related first-ever hospital contact until December 31st, 2014. Full residential address histories since 1970 were obtained and annual means of road traffic noise (Lden [dB]) and air pollutants (particulate matter with diameter < 2.5 μm and < 10 μm [PM2.5 and PM10], nitrogen dioxide [NO2], nitrogen oxides [NOx]) were determined using validated models. Time-varying Cox regression models were used to estimate hazard ratios (HR) (95% confidence intervals [CI]) for the associations of one-, three-, and 23-year running means of Lden preceding stroke (all, ischemic or hemorrhagic), adjusting for stroke risk factors and air pollutants. The World Health Organization and the Danish government's maximum exposure recommendations of 53 and 58 dB, respectively, were explored as potential Lden thresholds. RESULTS Of 25,660 nurses, 1237 developed their first stroke (1089 ischemic, 148 hemorrhagic) during 16 years mean follow-up. For associations between a 1-year mean of Lden and overall stroke incidence, the estimated HR (95% CI) in the fully adjusted model was 1.06 (0.98-1.14) per 10 dB, which attenuated to 1.01 (0.93-1.09) and 1.00 (0.91-1.09) in models further adjusted for PM2.5 or NO2, respectively. Associations for other exposure periods or separately for ischemic or hemorrhagic stroke were similar. There was no evidence of a threshold association between Lden and stroke. CONCLUSIONS Long-term exposure to road traffic noise was suggestively positively associated with the risk of overall stroke, although not after adjusting for air pollution.
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Affiliation(s)
- Tom Cole-Hunter
- Environmental Epidemiology Group, Section of Environmental Health, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Centre for Air Pollution, Energy, and Health Research, University of New South Wales, Sydney, NSW Australia
| | - Christian Dehlendorff
- Statistics and Data Analysis, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Heresh Amini
- Environmental Epidemiology Group, Section of Environmental Health, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Amar Mehta
- Denmark Statistics, Copenhagen, Denmark
- Section of Epidemiology, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Youn-Hee Lim
- Environmental Epidemiology Group, Section of Environmental Health, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jeanette T. Jørgensen
- Environmental Epidemiology Group, Section of Environmental Health, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Shuo Li
- Environmental Epidemiology Group, Section of Environmental Health, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Rina So
- Environmental Epidemiology Group, Section of Environmental Health, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Laust H. Mortensen
- Section of Epidemiology, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Center for Healthy Aging, University of Copenhagen, Copenhagen, Denmark
| | - Rudi Westendorp
- Section of Epidemiology, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Center for Healthy Aging, University of Copenhagen, Copenhagen, Denmark
| | - Barbara Hoffmann
- Institute for Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty, Heinrich-Heine-University of Düsseldorf, Düsseldorf, Germany
| | - Elvira V. Bräuner
- Department of Growth and Reproduction, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
- Global Centre for Clean Air Research (GCARE), University of Surrey, Guildford, UK
| | - Ole Hertel
- Department of Bioscience, Aarhus University, Roskilde, Denmark
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | | | | | - Camilla Geels
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Lise M. Frohn
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | | | - Mette K. Simonsen
- Diakonissestiftelsen, Frederiksberg, Denmark
- The Parker Institute, Copenhagen University Hospital, Bispebjerg and Frederiksberg, Denmark
| | - Steffen Loft
- Environmental Epidemiology Group, Section of Environmental Health, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Zorana J. Andersen
- Environmental Epidemiology Group, Section of Environmental Health, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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Mok PLH, Antonsen S, Agerbo E, Brandt J, Geels C, Christensen JH, Frohn LM, Pedersen CB, Webb RT. Exposure to ambient air pollution during childhood and subsequent risk of self-harm: A national cohort study. Prev Med 2021; 152:106502. [PMID: 34538368 DOI: 10.1016/j.ypmed.2021.106502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Revised: 01/30/2021] [Accepted: 02/22/2021] [Indexed: 10/20/2022]
Abstract
A growing body of evidence indicates that exposure to air pollution not only impacts on physical health but is also linked with a deterioration in mental health. We conducted the first study to investigate exposure to ambient particulate matter with an aerodynamic diameter of less than 2.5 μm (PM2.5) and nitrogen dioxide (NO2) during childhood and subsequent self-harm risk. The study cohort included persons born in Denmark between January 1, 1979 and December 31, 2006 (N = 1,424,670), with information on daily exposures to PM2.5 and NO2 at residence from birth to 10th birthday. Follow-up began from 10th birthday until first hospital-presenting self-harm episode, death, or December 31, 2016, whichever came first. Incidence rate ratios estimated by Poisson regression models revealed a dose relationship between increasing PM2.5 exposure and rising self-harm risk. Exposure to 17-19 μg/m3 of PM2.5 on average per day from birth to 10th birthday was associated with a 1.45 fold (95% CI 1.37-1.53) subsequently elevated self-harm risk compared with a mean daily exposure of <13 μg/m3, whilst those exposed to 19 μg/m3 or above on average per day had a 1.59 times (1.45-1.75) elevated risk. Higher mean daily exposure to NO2 during childhood was also linked with increased self-harm risk, but the dose-response relationship observed was less evident than for PM2.5. Covariate adjustment attenuated the associations, but risk remained independently elevated. Although causality cannot be assumed, these novel findings indicate a potential etiological involvement of ambient air pollution in the development of mental ill health.
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Affiliation(s)
- Pearl L H Mok
- Centre for Pharmacoepidemiology and Drug Safety, Division of Pharmacy and Optometry, Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, UK.
| | - Sussie Antonsen
- Centre for Integrated Register-based Research, CIRRAU, Aarhus University, Aarhus, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Denmark; National Centre for Register-Based Research, Aarhus BSS, Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark
| | - Esben Agerbo
- Centre for Integrated Register-based Research, CIRRAU, Aarhus University, Aarhus, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Denmark; National Centre for Register-Based Research, Aarhus BSS, Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; iClimate - interdisciplinary Centre for Climate Change, Aarhus University, Roskilde, Denmark
| | - Camilla Geels
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; iClimate - interdisciplinary Centre for Climate Change, Aarhus University, Roskilde, Denmark
| | | | - Lise M Frohn
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; iClimate - interdisciplinary Centre for Climate Change, Aarhus University, Roskilde, Denmark
| | - Carsten B Pedersen
- Centre for Integrated Register-based Research, CIRRAU, Aarhus University, Aarhus, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Denmark; National Centre for Register-Based Research, Aarhus BSS, Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark; Big Data Centre for Environment and Health, Aarhus University, Aarhus, Denmark
| | - Roger T Webb
- Centre for Mental Health and Safety, Division of Psychology and Mental Health, Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, UK; NIHR Greater Manchester Patient Safety Translational Research Centre, Manchester, UK
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Roswall N, Pyko A, Ögren M, Oudin A, Rosengren A, Lager A, Poulsen AH, Eriksson C, Segersson D, Rizzuto D, Andersson EM, Aasvang GM, Engström G, Jørgensen JT, Selander J, Christensen JH, Thacher J, Leander K, Overvad K, Eneroth K, Mattisson K, Barregård L, Stockfelt L, Albin M, Ketzel M, Simonsen MK, Spanne M, Raaschou-Nielsen O, Magnusson PK, Tiittanen P, Molnar P, Ljungman P, Lanki T, Lim YH, Andersen ZJ, Pershagen G, Sørensen M. Long-Term Exposure to Transportation Noise and Risk of Incident Stroke: A Pooled Study of Nine Scandinavian Cohorts. Environ Health Perspect 2021; 129:107002. [PMID: 34605674 PMCID: PMC8489401 DOI: 10.1289/ehp8949] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
BACKGROUND Transportation noise is increasingly acknowledged as a cardiovascular risk factor, but the evidence base for an association with stroke is sparse. OBJECTIVE We aimed to investigate the association between transportation noise and stroke incidence in a large Scandinavian population. METHODS We harmonized and pooled data from nine Scandinavian cohorts (seven Swedish, two Danish), totaling 135,951 participants. We identified residential address history and estimated road, railway, and aircraft noise for all addresses. Information on stroke incidence was acquired through linkage to national patient and mortality registries. We analyzed data using Cox proportional hazards models, including socioeconomic and lifestyle confounders, and air pollution. RESULTS During follow-up (median=19.5y), 11,056 stroke cases were identified. Road traffic noise (Lden) was associated with risk of stroke, with a hazard ratio (HR) of 1.06 [95% confidence interval (CI): 1.03, 1.08] per 10-dB higher 5-y mean time-weighted exposure in analyses adjusted for individual- and area-level socioeconomic covariates. The association was approximately linear and persisted after adjustment for air pollution [particulate matter (PM) with an aerodynamic diameter of ≤2.5μm (PM2.5) and NO2]. Stroke was associated with moderate levels of 5-y aircraft noise exposure (40-50 vs. ≤40 dB) (HR=1.12; 95% CI: 0.99, 1.27), but not with higher exposure (≥50 dB, HR=0.94; 95% CI: 0.79, 1.11). Railway noise was not associated with stroke. DISCUSSION In this pooled study, road traffic noise was associated with a higher risk of stroke. This finding supports road traffic noise as an important cardiovascular risk factor that should be included when estimating the burden of disease due to traffic noise. https://doi.org/10.1289/EHP8949.
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Affiliation(s)
- Nina Roswall
- Danish Cancer Society Research Centre, Copenhagen, Denmark
| | - Andrei Pyko
- Center for Occupational and Environmental Medicine, Stockholm, Sweden
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Mikael Ögren
- Occupational and Environmental Medicine, School of Public Health and Community Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Anna Oudin
- Environment Society and Health, Lund University, Sweden
- Sustainable Health, Umeå University, Sweden
| | - Annika Rosengren
- Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Anton Lager
- Centre for Epidemiology and Community Medicine, Stockholm, Sweden
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
| | | | - Charlotta Eriksson
- Center for Occupational and Environmental Medicine, Stockholm, Sweden
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - David Segersson
- Swedish Meteorological and Hydrological Institute, Norrköping, Sweden
- Department of Environmental Science, Stockholm University, Stockholm, Sweden
| | - Debora Rizzuto
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
- Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Eva M. Andersson
- Occupational and Environmental Medicine, School of Public Health and Community Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
- Department of Occupational and Environmental Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Gunn Marit Aasvang
- Department of Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Gunnar Engström
- Department of Clinical Science, Lund University, Malmö, Sweden
| | | | - Jenny Selander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | | | - Jesse Thacher
- Danish Cancer Society Research Centre, Copenhagen, Denmark
| | - Karin Leander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Kim Overvad
- Department of Public Health, Aarhus University, Aarhus, Denmark
- Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark
| | | | - Kristoffer Mattisson
- Division of Occupational and Environmental Medicine, Lund University, Lund, Sweden
| | - Lars Barregård
- Occupational and Environmental Medicine, School of Public Health and Community Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
- Department of Occupational and Environmental Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Leo Stockfelt
- Occupational and Environmental Medicine, School of Public Health and Community Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
- Department of Occupational and Environmental Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Maria Albin
- Center for Occupational and Environmental Medicine, Stockholm, Sweden
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Division of Occupational and Environmental Medicine, Lund University, Lund, Sweden
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
- Global Centre for Clean Air Research, University of Surrey, Guildford, UK
| | | | - Mårten Spanne
- Environment Department, City of Malmö, Malmö, Sweden
| | - Ole Raaschou-Nielsen
- Danish Cancer Society Research Centre, Copenhagen, Denmark
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Patrik K.E. Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm
| | - Pekka Tiittanen
- Department of Health Security, Finnish Institute for Health and Welfare, Kuopio, Finland
| | - Peter Molnar
- Occupational and Environmental Medicine, School of Public Health and Community Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
- Department of Occupational and Environmental Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Petter Ljungman
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Cardiology, Danderyd Hospital, Stockholm, Sweden
| | - Timo Lanki
- Department of Health Security, Finnish Institute for Health and Welfare, Kuopio, Finland
- School of Medicine, University of Eastern Finland, Kuopio, Finland
- Department of Environmental and Biological Sciences, University of Eastern Finland, Kuopio, Finland
| | - Youn-Hee Lim
- Department of Public Health, Copenhagen University, Copenhagen, Denmark
| | | | - Göran Pershagen
- Center for Occupational and Environmental Medicine, Stockholm, Sweden
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Mette Sørensen
- Danish Cancer Society Research Centre, Copenhagen, Denmark
- Department of Natural Science and Environment, Roskilde University, Roskilde, Denmark
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Olsson D, Forsberg B, Bråbäck L, Geels C, Brandt J, Christensen JH, Frohn LM, Oudin A. Early childhood exposure to ambient air pollution is associated with increased risk of paediatric asthma: An administrative cohort study from Stockholm, Sweden. Environ Int 2021; 155:106667. [PMID: 34077855 DOI: 10.1016/j.envint.2021.106667] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 05/06/2021] [Accepted: 05/24/2021] [Indexed: 06/12/2023]
Abstract
INTRODUCTION Asthma is a complex, heterogeneous disease and one of the most common chronic diseases among children. Exposure to ambient air pollution in early life and childhood may influence asthma aetiology, but it is uncertain which specific components of air pollution and exposure windows are of importance. The role of socio-economic status (SES) is also unclear. The aims of the present study are, therefore, to investigate how various exposure windows of different pollutants affect risk-induced asthma in early life and to explore the possible effect SES has on that relationship. METHODS The study population was constructed using register data on all singleton births in the greater Stockholm area between 2006 and 2013. Exposure to ambient black carbon (BC), fine particulate matter (PM2.5), primary organic carbon (pOC) secondary organic aerosols (SOA), secondary inorganic aerosols, and oxidative potential at the residential address was modelled as mean values for the entire pregnancy period, the first year of life and the first three years of life. Swedish national registers were used to define the outcome: asthma diagnosis assessed at hospital during the first six years of life. Hazard ratios (HRs) and their 95% confidence intervals (CIs) were modelled with Cox proportional hazards model with age as the underlying time-scale, adjusting for relevant potential confounding variables. RESULTS An increased risk for developing childhood asthma was observed in association with exposure to PM2.5, pOC and SOA during the first three years of life. With an interquartile range increase in exposure, the HRs were 1.06 (95% CI: 1.01-1.10), 1.05 (95% CI: 1.02-1.09) and 1.02 (95% CI: 1.00-1.04), for PM2.5, pOC and SOA, respectively, in the fully adjusted models. Exposure during foetal life or the first year of life was not associated with asthma risk, and the other pollutants were not statistically significantly associated with increased risk. Furthermore, the increase in risk associated with PM2.5 and the components BC, pOC and SOA were stronger in areas with lower SES. CONCLUSION Our results suggest that exposure to air pollution during the first three years of life may increase the risk for asthma in early childhood. The findings further imply a possible increased vulnerability to air pollution-attributed asthma among low SES children.
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Affiliation(s)
- David Olsson
- Department of Public Health and Clinical Medicine, Sustainable Health, Umeå University, Sweden
| | - Bertil Forsberg
- Department of Public Health and Clinical Medicine, Sustainable Health, Umeå University, Sweden
| | - Lennart Bråbäck
- Department of Public Health and Clinical Medicine, Sustainable Health, Umeå University, Sweden
| | - Camilla Geels
- Department of Environmental Science - Atmospheric Modelling, Aarhus University, Denmark
| | - Jørgen Brandt
- Department of Environmental Science - Atmospheric Modelling, Aarhus University, Denmark
| | - Jesper H Christensen
- Department of Environmental Science - Atmospheric Modelling, Aarhus University, Denmark
| | - Lise M Frohn
- Department of Environmental Science - Atmospheric Modelling, Aarhus University, Denmark
| | - Anna Oudin
- Department of Public Health and Clinical Medicine, Sustainable Health, Umeå University, Sweden.
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Sommar JN, Hvidtfeldt UA, Geels C, Frohn LM, Brandt J, Christensen JH, Raaschou-Nielsen O, Forsberg B. Long-Term Residential Exposure to Particulate Matter and Its Components, Nitrogen Dioxide and Ozone-A Northern Sweden Cohort Study on Mortality. Int J Environ Res Public Health 2021; 18:ijerph18168476. [PMID: 34444225 PMCID: PMC8393394 DOI: 10.3390/ijerph18168476] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/19/2020] [Revised: 01/22/2021] [Accepted: 08/02/2021] [Indexed: 11/16/2022]
Abstract
This study aims to estimate the mortality risk associated with air pollution in a Swedish cohort with relatively low exposure. Air pollution models were used to estimate annual mean concentrations of particulate matter with aerodynamic diameter ≤ 2.5 µm (PM2.5), primary emitted carbonaceous particles (BC/pOC), sea salt, chemically formed particles grouped as secondary inorganic and organic aerosols (SIA and SOA) as well as ozone (O3) and nitrogen dioxide (NO2). The exposure, as a moving average was calculated based on home address for the time windows 1 year (lag 1), 1-5 years (lag 1-5) and 1-10 years (lag 1-10) preceding the death. During the study period, 1151 cases of natural mortality, 253 cases of cardiovascular disease (CVD) mortality and 113 cases of respiratory and lung cancer mortality were observed during 369,394 person-years of follow-up. Increased natural mortality was observed in association with NO2 (3% [95% CI -8-14%] per IQR) and PM2.5 (2% [95% CI -5-9%] for an IQR increase) and its components, except for SOA where a decreased risk was observed. Higher risk increases were observed for CVD mortality (e.g., 18% [95% CI 1-39%] per IQR for NO2). These findings at low exposure levels are relevant for future decisions concerning air quality policies.
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Affiliation(s)
- Johan N. Sommar
- Section of Sustainable Health, Department of Public Health and Clinical Medicine, Umeå University, 90187 Umeå, Sweden;
- Correspondence: ; Tel.: +46-9-0785-3453
| | - Ulla A. Hvidtfeldt
- Danish Cancer Society Research Center, Strandboulevarden 49, 2100 Copenhagen, Denmark; (U.A.H.); (O.R.-N.)
| | - Camilla Geels
- Department of Environmental Science, Aarhus University, 4000 Roskilde, Denmark; (C.G.); (L.M.F.); (J.B.); (J.H.C.)
| | - Lise M. Frohn
- Department of Environmental Science, Aarhus University, 4000 Roskilde, Denmark; (C.G.); (L.M.F.); (J.B.); (J.H.C.)
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, 4000 Roskilde, Denmark; (C.G.); (L.M.F.); (J.B.); (J.H.C.)
| | - Jesper H. Christensen
- Department of Environmental Science, Aarhus University, 4000 Roskilde, Denmark; (C.G.); (L.M.F.); (J.B.); (J.H.C.)
| | - Ole Raaschou-Nielsen
- Danish Cancer Society Research Center, Strandboulevarden 49, 2100 Copenhagen, Denmark; (U.A.H.); (O.R.-N.)
- Department of Environmental Science, Aarhus University, 4000 Roskilde, Denmark; (C.G.); (L.M.F.); (J.B.); (J.H.C.)
| | - Bertil Forsberg
- Section of Sustainable Health, Department of Public Health and Clinical Medicine, Umeå University, 90187 Umeå, Sweden;
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Andersen ZJ, Cramer J, Jørgensen JT, Dehlendorff C, Amini H, Mehta A, Cole-Hunter T, Mortensen LH, Westendorp R, So R, Li S, Hoffmann B, Loft S, Bräuner EV, Ketzel M, Hertel O, Brandt J, Jensen SS, Christensen JH, Geels C, Frohn LM, Backalarz C, Simonsen MK, Lim YH. Long-Term Exposure to Road Traffic Noise and Air Pollution, and Incident Atrial Fibrillation in the Danish Nurse Cohort. Environ Health Perspect 2021; 129:87002. [PMID: 34338552 PMCID: PMC8327770 DOI: 10.1289/ehp8090] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
BACKGROUND Associations between long-term exposure to air pollution and road traffic noise have been established for ischemic heart disease, but findings have been mixed for atrial fibrillation (AF). OBJECTIVES The goal of the study was to examine associations of long-term exposure to road traffic noise and air pollution with AF. METHODS Time-varying Cox regression models were used to estimate associations of 1-, 3-, and 23-y mean road traffic noise and air pollution exposures with AF incidence in 23,528 women enrolled in the Danish Nurse Cohort (age >44y at baseline in 1993 or 1999). AF diagnoses were ascertained via the Danish National Patient Register. Annual mean weighted 24-h average road traffic noise levels (Lden) at the nurses' residences, since 1970, were estimated using the Nord2000 model, and annual mean levels of particulate matter with a diameter <2.5μm (PM2.5) and nitrogen dioxide (NO2) were estimated using the DEHM/UBM/AirGIS model. RESULTS Of 23,528 nurses with no prior AF diagnosis at the cohort baseline, 1,522 developed AF during follow-up. In a fully adjusted model (including PM2.5), the estimated risk of AF was 18% higher [hazard ratio (HR); 95% confidence interval (CI): 1.18; 1.02, 1.36] in nurses with residential 3-y mean Lden levels >58 dB vs. <48 dB, with similar findings for 1-y mean exposures. A 3.9-μg/m3 increase in 3-y mean PM2.5 was associated with incident AF before and after adjustment for concurrent exposure to road traffic noise (HR 1.09; 95% CI: 1.00, 1.20 and 1.08; 95% CI: 0.97, 1.19, respectively). Associations with 1-y mean PM2.5 exposures were positive but closer to the null and not significant. Associations with NO2 were null for all time periods before and after adjustment for road traffic noise and inverse when adjusted for concurrent PM2.5. CONCLUSION Our analysis of prospective data from a cohort of Danish female nurses followed for up to 14 y provided suggestive evidence of independent associations between incident AF and 1- and 3-y exposures to road traffic noise and PM2.5. https://doi.org/10.1289/EHP8090.
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Affiliation(s)
- Zorana J. Andersen
- Environmental Epidemiology Group, Section of Environmental Health, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Johannah Cramer
- Environmental Epidemiology Group, Section of Environmental Health, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jeanette T. Jørgensen
- Environmental Epidemiology Group, Section of Environmental Health, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Christian Dehlendorff
- Statistics and Data Analysis, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Heresh Amini
- Environmental Epidemiology Group, Section of Environmental Health, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Amar Mehta
- Denmark Statistics, Copenhagen, Denmark
- Section of Epidemiology, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Tom Cole-Hunter
- Environmental Epidemiology Group, Section of Environmental Health, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Centre for Air Pollution, Energy, and Health Research, University of New South Wales, Sydney, New South Wales, Australia
- International Laboratory for Air Quality and Health, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Laust H. Mortensen
- Denmark Statistics, Copenhagen, Denmark
- Section of Epidemiology, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Rudi Westendorp
- Section of Epidemiology, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Center for Healthy Aging, University of Copenhagen, Copenhagen, Denmark
| | - Rina So
- Environmental Epidemiology Group, Section of Environmental Health, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Shuo Li
- Environmental Epidemiology Group, Section of Environmental Health, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Barbara Hoffmann
- Institute for Occupational, Social and Environmental Medicine; Centre for Health and Society, Medical Faculty, Heinrich-Heine-University of Düsseldorf, Düsseldorf, Germany
| | - Steffen Loft
- Environmental Epidemiology Group, Section of Environmental Health, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Elvira V. Bräuner
- Department of Growth and Reproduction, Rigshospitalet, University of Copenhagen, Denmark
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
- Global Centre for Clean Air Research (GCARE), University of Surrey, United Kingdom
| | - Ole Hertel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
- iClimate, Aarhus University, Roskilde, Denmark
| | | | | | - Camilla Geels
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Lise M. Frohn
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | | | - Mette K. Simonsen
- Diakonissestiftelsen, Frederiksberg, Denmark
- The Parker Institute, Bispebjerg and Frederiksberg Hospital, Copenhagen University Hospital, Copenhagen, Denmark
| | - Youn-Hee Lim
- Environmental Epidemiology Group, Section of Environmental Health, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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Liu S, Lim YH, Pedersen M, Jørgensen JT, Amini H, Cole-Hunter T, Mehta AJ, So R, Mortensen LH, Westendorp RGJ, Loft S, Bräuner EV, Ketzel M, Hertel O, Brandt J, Jensen SS, Christensen JH, Sigsgaard T, Geels C, Frohn LM, Brborić M, Radonić J, Sekulic MT, Bønnelykke K, Backalarz C, Simonsen MK, Andersen ZJ. Long-term exposure to ambient air pollution and road traffic noise and asthma incidence in adults: The Danish Nurse cohort. Environ Int 2021; 152:106464. [PMID: 33684733 DOI: 10.1016/j.envint.2021.106464] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 02/07/2021] [Accepted: 02/09/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Ambient air pollution is likely a risk factor for asthma, and recent evidence suggests the possible relevance of road traffic noise. OBJECTIVES We examined the associations of long-term exposure to air pollution and road traffic noise with adult-asthma incidence. METHODS We followed 28,731 female nurses (age > 44 years) from the Danish Nurse Cohort, recruited in 1993 and 1999, for first hospital contact for asthma from 1977 until 2015. We estimated residential annual mean concentrations of particulate matter with diameter < 2.5 µm (PM2.5) since 1990 and nitrogen dioxide (NO2) since 1970 with the Danish DEHM/UBM/AirGIS modeling system, and road traffic noise (Lden) since 1970 with the Nord2000 model. Time-varying Cox regression models were used to associate air pollution and road traffic noise exposure with asthma incidence. RESULTS During 18.6 years' mean follow-up, 528 out of 23,093 participants had hospital contact for asthma. The hazard ratios (HR) and 95% confidence intervals for asthma incidence associated with 3-year moving average exposures were 1.29 (1.03, 1.61) per 6.3 µg/m3 for PM2.5, 1.16 (1.07, 1.27) per 8.2 µg/m3 for NO2, and 1.12 (1.00, 1.25) per 10 dB for Lden. The HR for NO2 remained unchanged after adjustment for either PM2.5 or Lden, while the HRs for PM2.5 and Lden attenuated to unity after adjustment for NO2. CONCLUSIONS Long-term exposure to air pollution was associated with adult-asthma incidence independently of road traffic noise, with NO2 most relevant. Road traffic noise was not independently associated with adult-asthma incidence.
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Affiliation(s)
- Shuo Liu
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Youn-Hee Lim
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Marie Pedersen
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Jeanette T Jørgensen
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Heresh Amini
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Thomas Cole-Hunter
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark; Centre for Air pollution, energy and health Research (CAR), University of Sydney, Sydney, Australia
| | - Amar J Mehta
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark; Statistics Denmark, Copenhagen, Denmark
| | - Rina So
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Laust H Mortensen
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark; Statistics Denmark, Copenhagen, Denmark
| | - Rudi G J Westendorp
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark; Center for Healthy Aging, University of Copenhagen, Copenhagen, Denmark
| | - Steffen Loft
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Elvira V Bräuner
- Department of Growth and Reproduction, Copenhagen University Hospital - Rigshospitalet, University of Copenhagen, Denmark
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; Global Centre for Clean Air Research (GCARE), University of Surrey, United Kingdom
| | - Ole Hertel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; iClimate, Aarhus University, Roskilde, Denmark
| | - Steen S Jensen
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | | | - Torben Sigsgaard
- Department of Public Health, Environment Occupation and Health, Danish Ramazzini Centre, Aarhus University, Aarhus, Denmark
| | - Camilla Geels
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Lise M Frohn
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Maja Brborić
- University of Novi Sad, Faculty of Technical Sciences, Department of Environmental Engineering and Occupational Safety and Health, Novi Sad, Serbia
| | - Jelena Radonić
- University of Novi Sad, Faculty of Technical Sciences, Department of Environmental Engineering and Occupational Safety and Health, Novi Sad, Serbia
| | - Maja Turk Sekulic
- University of Novi Sad, Faculty of Technical Sciences, Department of Environmental Engineering and Occupational Safety and Health, Novi Sad, Serbia
| | - Klaus Bønnelykke
- COPSAC (Copenhagen Prospective Studies on Asthma in Childhood), Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | | | - Mette K Simonsen
- Diakonissestiftelsen, Frederiksberg, Denmark; The Parker Institute, Bispebjerg and Frederiksberg Hospital, Copenhagen University Hospital, Copenhagen, Denmark
| | - Zorana J Andersen
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
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Liu S, Lim YH, Pedersen M, Jørgensen JT, Amini H, Cole-Hunter T, Mehta AJ, So R, Mortensen LH, Westendorp RGJ, Loft S, Bräuner EV, Ketzel M, Hertel O, Brandt J, Jensen SS, Christensen JH, Sigsgaard T, Geels C, Frohn LM, Brborić M, Radonić J, Sekulic MT, Bønnelykke K, Backalarz C, Simonsen MK, Andersen ZJ. Long-term air pollution and road traffic noise exposure and COPD: the Danish Nurse Cohort. Eur Respir J 2021; 58:13993003.04594-2020. [PMID: 33986028 DOI: 10.1183/13993003.04594-2020] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Accepted: 04/17/2021] [Indexed: 11/05/2022]
Abstract
BACKGROUND While air pollution has been linked to the development of chronic obstructive pulmonary disease (COPD), evidence on the role of environmental noise is just emerging. We examined the associations of long-term exposure to air pollution and road traffic noise with COPD incidence. METHODS We defined COPD incidence for 24 538 female nurses from the Danish Nurse Cohort (age>44 years) as the first hospital contact between baseline (1993 or 1999) and 2015. We estimated residential annual mean concentrations of particulate matter with diameter<2.5 µm (PM2.5) since 1990 and nitrogen dioxide (NO2) since 1970 by the Danish DEHM/UBM/AirGIS modeling system, and road traffic noise (Lden) since 1970 by the Nord2000 model. Time-varying Cox regression models were applied to assess the associations of air pollution and road traffic noise with COPD incidence. RESULTS 977 nurses developed COPD during 18.6 years' mean follow-up. We observed associations with COPD for all three exposures with hazard ratios (HRs) and 95% confidence intervals (CIs) of 1.19 (1.01, 1.41) per 6.26 µg·m-3 for PM2.5, 1.13 (1.05, 1.20) per 8.19 µg·m-3 for NO2, and 1.15 (1.06, 1.25) per 10 dB for Lden. Associations with NO2 and Lden attenuated slightly after mutual adjustment, but were robust to adjustment for PM2.5. Associations with PM2.5 were attenuated to null after adjustment for either NO2 or Lden. No potential interaction effect was observed between air pollutants and noise. CONCLUSIONS Long-term exposure to air pollution, especially traffic-related NO2, and road traffic noise were independently associated with COPD.
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Affiliation(s)
- Shuo Liu
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Youn-Hee Lim
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Marie Pedersen
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Jeanette T Jørgensen
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Heresh Amini
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.,Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Thomas Cole-Hunter
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.,Centre for Air pollution, energy and health Research (CAR), University of Sydney, Sydney, Australia
| | - Amar J Mehta
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.,Statistics Denmark, Copenhagen, Denmark
| | - Rina So
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Laust H Mortensen
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.,Statistics Denmark, Copenhagen, Denmark
| | - Rudi G J Westendorp
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.,Center for Healthy Aging, University of Copenhagen, Copenhagen, Denmark
| | - Steffen Loft
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Elvira V Bräuner
- Department of Growth and Reproduction, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark.,Global Centre for Clean Air Research (GCARE), University of Surrey, Guildford, United Kingdom
| | - Ole Hertel
- Department of Bioscience, Aarhus University, Roskilde, Denmark.,Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, Roskilde, Denmark
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark.,iClimate, Aarhus University, Roskilde, Denmark
| | - Steen S Jensen
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | | | - Torben Sigsgaard
- Department of Public Health, Environment Occupation and Health, Danish Ramazzini Centre, Aarhus University, Aarhus, Denmark
| | - Camilla Geels
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Lise M Frohn
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Maja Brborić
- Faculty of Technical Sciences, Department of Environmental Engineering and Occupational Safety and Health, University of Novi Sad, Novi Sad, Serbia
| | - Jelena Radonić
- Faculty of Technical Sciences, Department of Environmental Engineering and Occupational Safety and Health, University of Novi Sad, Novi Sad, Serbia
| | - Maja Turk Sekulic
- Faculty of Technical Sciences, Department of Environmental Engineering and Occupational Safety and Health, University of Novi Sad, Novi Sad, Serbia
| | - Klaus Bønnelykke
- COPSAC (Copenhagen Prospective Studies on Asthma in Childhood), Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | | | - Mette K Simonsen
- Diakonissestiftelsen, Frederiksberg, Denmark.,The Parker Institute, Bispebjerg and Frederiksberg Hospital, Copenhagen University Hospital, Copenhagen, Denmark
| | - Zorana J Andersen
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
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Sørensen M, Poulsen AH, Hvidtfeldt UA, Münzel T, Thacher JD, Ketzel M, Brandt J, Christensen JH, Levin G, Raaschou-Nielsen O. Transportation noise and risk of stroke: a nationwide prospective cohort study covering Denmark. Int J Epidemiol 2021; 50:1147-1156. [PMID: 33755127 DOI: 10.1093/ije/dyab024] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Accepted: 02/05/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Studies on transportation noise and incident stroke are few and inconclusive. We aimed to investigate associations between road-traffic and railway noise and the risk of incident stroke in the entire Danish population. METHODS We estimated road-traffic and railway noise (Lden) at the most and least exposed façades for all residential addresses across Denmark (2.8 million) for the period 1990-2017. Based on this, we estimated the 10-year time-weighted mean noise exposure for 3.6 million Danes aged >35 years, of whom 184 523 developed incident stroke during follow-up from 2000 to 2017. Analyses were conducted using Cox proportional-hazards models, with adjustment for various individual- and area-level demographic and socio-economic covariates collected from registries and air pollution [fine particulate matter with particles with a diameter of ≤2.5 µm (PM2.5) and nitrogen dioxide (NO2)]. RESULTS A 10-dB increase in the 10-year mean road-traffic noise at the most exposed façade was associated with an incidence rate ratio (IRR) of 1.04 [95% confidence interval (CI): 1.03-1.05] for all strokes. For road-traffic noise at the least exposed façade, the IRR per 10 dB was 1.03 (95% CI: 1.02-1.04) for all strokes. Railway noise was not associated with a higher risk of stroke. CONCLUSION Road-traffic noise increased the risk of stroke. These findings add to the evidence of road-traffic noise as a cardiovascular risk factor.
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Affiliation(s)
- Mette Sørensen
- Diet, Genes and Environment, Danish Cancer Society Research Center, Strandboulevarden 49, Copenhagen, Denmark.,Department of Natural Science and Environment, Roskilde University, Universitetsvej 1, Roskilde, Denmark
| | - Aslak Harbo Poulsen
- Diet, Genes and Environment, Danish Cancer Society Research Center, Strandboulevarden 49, Copenhagen, Denmark
| | - Ulla Arthur Hvidtfeldt
- Diet, Genes and Environment, Danish Cancer Society Research Center, Strandboulevarden 49, Copenhagen, Denmark
| | - Thomas Münzel
- University Medical Center Mainz of the Johannes Gutenberg University, Center for Cardiology, Cardiology I, Langenbeckstrasse 1, Mainz, Germany
| | - Jesse Daniel Thacher
- Diet, Genes and Environment, Danish Cancer Society Research Center, Strandboulevarden 49, Copenhagen, Denmark
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, Roskilde, Denmark.,Global Centre for Clean Air Research, University of Surrey, Guildford, Surrey, UK
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, Roskilde, Denmark.,iClimate-Aarhus University Interdisciplinary Centre for Climate Change, Frederiksborgvej 399, Roskilde, Denmark
| | - Jesper H Christensen
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, Roskilde, Denmark
| | - Gregor Levin
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, Roskilde, Denmark
| | - Ole Raaschou-Nielsen
- Diet, Genes and Environment, Danish Cancer Society Research Center, Strandboulevarden 49, Copenhagen, Denmark.,Department of Environmental Science, Aarhus University, Frederiksborgvej 399, Roskilde, Denmark
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Hansen KM, Fauser P, Vorkamp K, Christensen JH. Global emissions of Dechlorane Plus. Sci Total Environ 2020; 742:140677. [PMID: 32721756 DOI: 10.1016/j.scitotenv.2020.140677] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Revised: 06/26/2020] [Accepted: 06/30/2020] [Indexed: 06/11/2023]
Abstract
Dechlorane Plus (DP) is a chlorinated flame retardant applied in parallel to or as a replacement product for regulated flame retardants. Detection of DP in environmental media all over the world in recent years necessitates the development of detailed global emission estimates for environmental model studies. Based on production, usage and disposal data two global atmospheric emission scenarios were made with a detailed geographical distribution. The total DP emission is estimated to be 0.02 t/year and 3.2 t/year in a low and high emission scenario, respectively, reflecting the uncertainties in production volumes and emission factors. The emission estimates are tested by implementation in the Danish Eulerian Hemispheric Model, an advanced chemistry-transport model. An evaluation against measurements in the Arctic from the early 2010s, considered to represent background concentrations, shows that the predicted concentration range for the high emission scenario is in line with the measured range, whereas the predicted concentrations for the low emission estimate are more than a factor of 100 lower than the measurements, rendering the high emission estimate most probable.
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Affiliation(s)
- Kaj M Hansen
- Department of Environmental Science, Aarhus University, Roskilde, Denmark.
| | - Patrik Fauser
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Katrin Vorkamp
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
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42
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Raaschou-Nielsen O, Thorsteinson E, Antonsen S, Holst GJ, Sigsgaard T, Geels C, Frohn LM, Christensen JH, Brandt J, Pedersen CB, Hvidtfeldt UA. Long-term exposure to air pollution and mortality in the Danish population a nationwide study. EClinicalMedicine 2020; 28:100605. [PMID: 33163948 PMCID: PMC7610042 DOI: 10.1016/j.eclinm.2020.100605] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 10/02/2020] [Accepted: 10/06/2020] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Studies have shown higher mortality in association with exposure to air pollution. We investigated this association with focus on differences between socioeconomic groups. METHODS We included all Danes born between 1921 and 1985 aged 30-85 years from 1991 to 2015 (N = 4,401,348). We applied a nested case-control design and identified those who died during follow-up and selected five controls per case. We modelled NO2, fine particulate matter (PM2·5), black carbon (BC) particles, and ozone (O3) as five-year average concentrations at the residential addresses of 672,895 all natural cause mortality cases and 3,426,533 controls in conditional logistic regression with adjustment for individual and neighbourhood level socio-demographic variables. FINDINGS In single pollutant models, a 10 μg/m3 (BC: 1 μg/m3) increase in NO2, PM2·5, BC, and O3 was associated with natural cause mortality rate ratios (MRR) of 1·05 (95% confidence interval 1·04-1·06), 1·08 (1·04-1·13), 1·05 (1·02-1·08), and 0·96 (0·95-0·97), respectively. The patterns were similar for respiratory disease and lung cancer mortality. O3 was associated with higher risk of CVD mortality. The rate differences for a unit increase in PM2·5, NO2, and BC were largest among those with the lowest income; this pattern was not detected when considering the relative risk measure, MRR. INTERPRETATION Long-term concentration of air pollution at the residence was associated with higher natural cause mortality in the Danish population and the strength of the association differed by socioeconomic group. We recommend that future studies express socioeconomic differences in absolute rather than relative risk.
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Affiliation(s)
- Ole Raaschou-Nielsen
- Danish Cancer Society Research Center, Strandboulevarden 49, 2100 Copenhagen Ø, Denmark
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000 Roskilde, Denmark
| | - Erla Thorsteinson
- National Centre for Register-Based Research, Aarhus BSS, Department of Economics and Business Economics, Aarhus University, Fuglesangs allè 26, 8210 Aarhus V, Denmark
- Centre for Integrated Register-based Research, CIRRAU, Aarhus University, Fuglesangs allè 26, 8210 Aarhus V, Denmark
| | - Sussie Antonsen
- National Centre for Register-Based Research, Aarhus BSS, Department of Economics and Business Economics, Aarhus University, Fuglesangs allè 26, 8210 Aarhus V, Denmark
- Centre for Integrated Register-based Research, CIRRAU, Aarhus University, Fuglesangs allè 26, 8210 Aarhus V, Denmark
| | - Gitte J Holst
- Department of Public Health, Aarhus University, Vennelyst Boulevard 2, 8000 Aarhus, Denmark
| | - Torben Sigsgaard
- Department of Public Health, Aarhus University, Vennelyst Boulevard 2, 8000 Aarhus, Denmark
| | - Camilla Geels
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000 Roskilde, Denmark
| | - Lise M Frohn
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000 Roskilde, Denmark
| | - Jesper H Christensen
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000 Roskilde, Denmark
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000 Roskilde, Denmark
- iClimate - Aarhus University interdisciplinary Center for Climate Change, Aarhus University, Frederiksborgvej 399, 4000 Roskilde, Denmark
| | - Carsten B Pedersen
- National Centre for Register-Based Research, Aarhus BSS, Department of Economics and Business Economics, Aarhus University, Fuglesangs allè 26, 8210 Aarhus V, Denmark
- Centre for Integrated Register-based Research, CIRRAU, Aarhus University, Fuglesangs allè 26, 8210 Aarhus V, Denmark
| | - Ulla A. Hvidtfeldt
- Danish Cancer Society Research Center, Strandboulevarden 49, 2100 Copenhagen Ø, Denmark
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43
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Harbo Poulsen A, Arthur Hvidtfeldt U, Sørensen M, Puett R, Ketzel M, Brandt J, Christensen JH, Geels C, Raaschou-Nielsen O. Components of particulate matter air-pollution and brain tumors. Environ Int 2020; 144:106046. [PMID: 32858469 DOI: 10.1016/j.envint.2020.106046] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/11/2019] [Revised: 08/05/2020] [Accepted: 08/06/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Air pollution is an established carcinogen. Evidence for an association with brain tumors is, however, inconclusive. We investigated if individual particulate matter constituents were associated with brain tumor risk. METHODS From comprehensive national registers, we identified all (n = 12 928) brain tumor cases, diagnosed in Denmark in the period 1989-2014, and selected 22 961 controls, matched on age, sex and year of birth. We established address histories and estimated 10-year mean residential outdoor concentrations of particulate matter < 2.5 µm, primarily emitted black carbon (BC) and organic carbon (OC), and combined carbon (OC/BC), as well as secondary inorganic and organic PM air pollutants from a detailed dispersion model. We used conditional logistic regression to calculate odds ratios (OR) per inter quartile range (IQR) exposure. We adjusted for income, marital and employment status as well as area-level socio-demographic characteristics. RESULTS Total tumors of the brain were associated with OC/BC (OR: 1.053, 95%CI: 1.005-1.103, per IQR). The data suggested strongest associations for malignant tumors with ORs per IQR for OC/BC, BC and OC of 1.063 (95% CI: 1.007-1.123), 1.036 (95% CI: 1.006-1.067) and 1.030 (95%CI: 0.979-1.085), respectively. The results did not indicate adverse effects of other PM components. CONCLUSIONS This large, population based study showed associations between primary emitted carbonaceous particles and risk for malignant brain tumors. As the first of its kind, this study needs replication.
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Affiliation(s)
| | | | - Mette Sørensen
- Danish Cancer Society Research Center, Copenhagen, Denmark; Department of Natural Science and Environment, Roskilde University, Roskilde, Denmark
| | - Robin Puett
- Danish Cancer Society Research Center, Copenhagen, Denmark; Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, MD, USA
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; Global Centre for Clean Air Research (GCARE) Department of Civil and Environmental Engineering University of Surrey, Guildford, United Kingdom
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | | | - Camilla Geels
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Ole Raaschou-Nielsen
- Danish Cancer Society Research Center, Copenhagen, Denmark; Department of Environmental Science, Aarhus University, Roskilde, Denmark
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44
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So R, Jørgensen JT, Lim YH, Mehta AJ, Amini H, Mortensen LH, Westendorp R, Ketzel M, Hertel O, Brandt J, Christensen JH, Geels C, Frohn LM, Sisgaard T, Bräuner EV, Jensen SS, Backalarz C, Simonsen MK, Loft S, Cole-Hunter T, Andersen ZJ. Long-term exposure to low levels of air pollution and mortality adjusting for road traffic noise: A Danish Nurse Cohort study. Environ Int 2020; 143:105983. [PMID: 32736159 DOI: 10.1016/j.envint.2020.105983] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Revised: 07/09/2020] [Accepted: 07/12/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND The association between air pollution and mortality is well established, yet some uncertainties remain: there are few studies that account for road traffic noise exposure or that consider in detail the shape of the exposure-response function for cause-specific mortality outcomes, especially at low-levels of exposure. OBJECTIVES We examined the association between long-term exposure to particulate matter [(PM) with a diameter of <2.5 µm (PM2.5), <10 µm (PM10)], and nitrogen dioxide (NO2) and total and cause-specific mortality, accounting for road traffic noise. METHODS We used data on 24,541 females (age > 44 years) from the Danish Nurse Cohort, who were recruited in 1993 or 1999, and linked to the Danish Causes of Death Register for follow-up on date of death and its cause, until the end of 2013. Annual mean concentrations of PM2.5, PM10, and NO2 at the participants' residences since 1990 were estimated using the Danish DEHM/UBM/AirGIS dispersion model, and annual mean road traffic noise levels (Lden) were estimated using the Nord2000 model. We examined associations between the three-year running mean of PM2.5, PM10, and NO2 with total and cause-specific mortality by using time-varying Cox Regression models, adjusting for individual characteristics and residential road traffic noise. RESULTS During the study period, 3,708 nurses died: 843 from cardiovascular disease (CVD), 310 from respiratory disease (RD), and 64 from diabetes. In the fully adjusted models, including road traffic noise, we detected associations of three-year running mean of PM2.5 with total (hazard ratio; 95% confidence interval: 1.06; 1.01-1.11), CVD (1.14; 1.03-1.26), and diabetes mortality (1.41; 1.05-1.90), per interquartile range of 4.39 μg/m3. In a subset of the cohort exposed to PM2.5 < 20 µg/m3, we found even stronger association with total (1.19; 1.11-1.27), CVD (1.27; 1.01-1.46), RD (1.27; 1.00-1.60), and diabetes mortality (1.44; 0.83-2.48). We found similar associations with PM10 and none with NO2. All associations were robust to adjustment for road traffic noise. DISCUSSION Long-term exposure to low-levels of PM2.5 and PM10 is associated with total mortality, and mortality from CVD, RD, and diabetes. Associations were even stronger at the PM2.5 levels below EU limit values and were independent of road traffic noise.
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Affiliation(s)
- Rina So
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark; Centre for Epidemiological Research, Nykøbing F Hospital, Nykøbing F, Denmark
| | | | - Youn-Hee Lim
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Amar J Mehta
- Denmark Statistics, Copenhagen, Denmark; Section of Epidemiology, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Heresh Amini
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Laust H Mortensen
- Denmark Statistics, Copenhagen, Denmark; Section of Epidemiology, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Rudi Westendorp
- Section of Epidemiology, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Center for Healthy Aging, University of Copenhagen, Copenhagen, Denmark
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; Global Centre for Clean Air Research (GCARE), University of Surrey, United Kingdom
| | - Ole Hertel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | | | - Camilla Geels
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Lise M Frohn
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Torben Sisgaard
- Institute of Environmental and Occupational Medicine, Department of Public Health, Aarhus University, Denmark
| | | | | | | | - Mette Kildevæld Simonsen
- Diakonissestiftelsen, Frederiksberg, Denmark; Research Unit for Dietary Studies, The Parker Institute Bispebjerg and Frederiksberg Hospital, Copenhagen University Hospital, Copenhagen, Denmark
| | - Steffen Loft
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Tom Cole-Hunter
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark; Centre for Air Pollution, Energy and Health Research (CAR), University of Sydney, Sydney, Australia
| | - Zorana Jovanovic Andersen
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark; Centre for Epidemiological Research, Nykøbing F Hospital, Nykøbing F, Denmark.
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45
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Puett RC, Poulsen AH, Taj T, Ketzel M, Geels C, Brandt J, Christensen JH, Sørensen M, Roswall N, Hvidtfeldt U, Raaschou-Nielsen O. Relationship of leukaemias with long-term ambient air pollution exposures in the adult Danish population. Br J Cancer 2020; 123:1818-1824. [PMID: 32939055 PMCID: PMC7722932 DOI: 10.1038/s41416-020-01058-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Revised: 08/11/2020] [Accepted: 08/26/2020] [Indexed: 12/24/2022] Open
Abstract
Background Few population-based epidemiological studies of adults have examined the relationship between air pollution and leukaemias. Methods Using Danish National Cancer Registry data and Danish DEHM-UBM-AirGIS system-modelled air pollution exposures, we examined whether particulate matter (PM2.5), black carbon (BC), nitrogen dioxide (NO2) and ozone (O3) averaged over 1, 5 or 10 years were associated with adult leukaemia in general or by subtype. In all, 14,986 adult cases diagnosed 1989–2014 and 51,624 age, sex and time-matched controls were included. Separate conditional logistic regression models, adjusted for socio-demographic factors, assessed exposure to each pollutant with leukaemias. Results Fully adjusted models showed a higher risk of leukaemia with higher 1-, 5- and 10-year-average exposures to PM2.5 prior to diagnosis (e.g. OR per 10 µg/m3 for 10-year average: 1.17, 95% CI: 1.03, 1.32), and a positive relationship with 1-year average BC. Results were driven by participants 70 years and older (OR per 10 µg/m3 for 10-year average: 1.35, 95% CI: 1.15–1.58). Null findings for younger participants. Higher 1-year average PM2.5 exposures were associated with higher risks for acute myeloid and chronic lymphoblastic leukaemia. Conclusion Among older adults, higher risk for leukaemia was associated with higher residential PM2.5 concentrations averaged over 1, 5 and 10 years prior to diagnosis.
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Affiliation(s)
- Robin C Puett
- Institute for Applied Environmental Health, School of Public Health, University of Maryland, College Park, MD, USA. .,Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark.
| | - Aslak Harbo Poulsen
- Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark
| | - Tahir Taj
- Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, P.O. Box. 358, DK-4000, Roskilde, Denmark.,Global Centre for Clean Air Research (GCARE), University of Surrey, Guildford, GU2 7XH, UK
| | - Camilla Geels
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, P.O. Box. 358, DK-4000, Roskilde, Denmark
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, P.O. Box. 358, DK-4000, Roskilde, Denmark
| | - Jesper H Christensen
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, P.O. Box. 358, DK-4000, Roskilde, Denmark
| | - Mette Sørensen
- Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark.,Department of Natural Science and Environment, Roskilde University, Roskilde, Denmark
| | - Nina Roswall
- Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark
| | - Ulla Hvidtfeldt
- Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark
| | - Ole Raaschou-Nielsen
- Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark.,Department of Environmental Science, Aarhus University, Frederiksborgvej 399, P.O. Box. 358, DK-4000, Roskilde, Denmark
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46
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Amini H, Dehlendorff C, Lim YH, Mehta A, Jørgensen JT, Mortensen LH, Westendorp R, Hoffmann B, Loft S, Cole-Hunter T, Bräuner EV, Ketzel M, Hertel O, Brandt J, Solvang Jensen S, Christensen JH, Geels C, Frohn LM, Backalarz C, Simonsen MK, Andersen ZJ. Long-term exposure to air pollution and stroke incidence: A Danish Nurse cohort study. Environ Int 2020; 142:105891. [PMID: 32593048 DOI: 10.1016/j.envint.2020.105891] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Revised: 06/10/2020] [Accepted: 06/11/2020] [Indexed: 05/23/2023]
Abstract
Ambient air pollution has been linked to stroke, but few studies have examined in detail stroke subtypes and confounding by road traffic noise, which was recently associated with stroke. Here we examined the association between long-term exposure to air pollution and incidence of stroke (overall, ischemic, hemorrhagic), adjusting for road traffic noise. In a nationwide Danish Nurse Cohort consisting of 23,423 nurses, recruited in 1993 or 1999, we identified 1,078 incident cases of stroke (944 ischemic and 134 hemorrhagic) up to December 31, 2014, defined as first-ever hospital contact. The full residential address histories since 1970 were obtained for each participant and the annual means of air pollutants (particulate matter with diameter < 2.5 µm and < 10 µm (PM2.5 and PM10), nitrogen dioxide (NO2), nitrogen oxides (NOx)) and road traffic noise were determined using validated models. Time-varying Cox regression models were used to estimate hazard ratios (HR) (95% confidence intervals (CI)) for the associations of one-, three, and 23-year running mean of air pollutants with stroke adjusting for potential confounders and noise. In fully adjusted models, the HRs (95% CI) per interquartile range increase in one-year running mean of PM2.5 and overall, ischemic, and hemorrhagic stroke were 1.12 (1.01-1.25), 1.13 (1.01-1.26), and 1.07 (0.80-1.44), respectively, and remained unchanged after adjustment for noise. Long-term exposure to ambient PM2.5 was associated with the risk of stroke independent of road traffic noise.
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Affiliation(s)
- Heresh Amini
- Section of Environmental Health, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
| | - Christian Dehlendorff
- Statistics and Data Analysis, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Youn-Hee Lim
- Section of Environmental Health, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Amar Mehta
- Statistics Denmark, Copenhagen, Denmark; Section of Epidemiology, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jeanette T Jørgensen
- Section of Environmental Health, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Laust H Mortensen
- Statistics Denmark, Copenhagen, Denmark; Section of Epidemiology, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Rudi Westendorp
- Section of Epidemiology, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Center for Healthy Aging, University of Copenhagen, Copenhagen, Denmark
| | - Barbara Hoffmann
- Institute for Occupational, Social and Environmental Medicine; Centre for Health and Society, Medical Faculty, Heinrich-Heine-University of Düsseldorf, Düsseldorf, Germany
| | - Steffen Loft
- Section of Environmental Health, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Tom Cole-Hunter
- Section of Environmental Health, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Centre for Air Pollution, Energy, and Health Research, University of New South Wales, Sydney, NSW, Australia; International Laboratory for Air Quality and Health, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD, Australia
| | - Elvira V Bräuner
- Department of Growth and Reproduction, Rigshospitalet, University of Copenhagen, Denmark
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Aarhus, Denmark; Global Centre for Clean Air Research (GCARE), University of Surrey, United Kingdom
| | - Ole Hertel
- Department of Environmental Science, Aarhus University, Aarhus, Denmark
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Aarhus, Denmark
| | | | | | - Camilla Geels
- Department of Environmental Science, Aarhus University, Aarhus, Denmark
| | - Lise M Frohn
- Department of Environmental Science, Aarhus University, Aarhus, Denmark
| | | | - Mette K Simonsen
- Diakonissestiftelsen, Frederiksberg, Denmark; The Parker Institute, Copenhagen University Hospital, Bispebjerg and Frederiksberg, Denmark
| | - Zorana J Andersen
- Section of Environmental Health, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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47
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Christensen JH, Nielsen G, Klinker CD, Heinze C, Kurtzhals ML, Elsborg P, Bentsen P. Youth leadership in peer-to-peer community sport: comparing programme rationales and peer delivery. Eur J Public Health 2020. [DOI: 10.1093/eurpub/ckaa166.455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Background
Peer-to-peer approaches are widely used in health promotion. Peer leaders are suggested to increase credibility and identification through role modelling. We suggest that to meet the rationales of peer education, peer leaders should be able to interpret and rework their delivery, based on programme rationales. This entails a need for implementation studies to compare programme theory with the realities of implementation. The purpose of this study was therefore to conceptualise a youth-led programme and to explore how peer leaders engage with the peer leader education and subsequently implement activities.
Methods
The case of study was the Danish street sport organisation, GAME. GAME educates and supports youth peer leaders (age 16-25) in providing life skills-based community sports activities for younger peers (age 8-15) in less advantaged neighbourhoods. A theory of change was developed in partnership with professionals from GAME to conceptualise their programme and its rationales. To study implementation, we observed three two-day peer leader education camps and 49 peer-led GAME activities focusing on specific elements of the theory of change.
Results
We present a theory of change to illustrate the content, rationale, expected outcomes and key assumptions of a peer-led community sport programme. We compare this conceptualisation to the implementation of peer-led activities; i.e., GAME's operationalisation of the peer leader education and peer leaders' enactment of the programme in practice, focusing on role modelling, pedagogical approaches and interactions with participating children. As expected, implementation style varied considerably across settings and thereby the ways in which delivery corresponded with the intentions described in the theory of change.
Conclusions
The study provided insight into how youth peer leaders in community sport interpret their role and interact with peers of relevance to peer leadership research and practice.
Key messages
The rationales behind peer education call for programmes that allow youth peer leaders to interpret and adjust activity implementation with an ensuing need for implementation studies. Initiatives to educate and support peer leaders should be modified based on insights into peer leaders’ interpretation and implementation of peer-led activities.
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Affiliation(s)
- J H Christensen
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen N, Denmark
| | - G Nielsen
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen N, Denmark
| | - C D Klinker
- Health Promotion Research, Steno Diabetes Center Copenhagen, Gentofte, Denmark
| | - C Heinze
- Health Promotion Research, Steno Diabetes Center Copenhagen, Gentofte, Denmark
| | - M L Kurtzhals
- Health Promotion Research, Steno Diabetes Center Copenhagen, Gentofte, Denmark
| | - P Elsborg
- Health Promotion Research, Steno Diabetes Center Copenhagen, Gentofte, Denmark
| | - P Bentsen
- Center for Clinical Research and Prevention, Capital Region, Frederiksberg, Denmark
- Center for Outdoor Recreation and Education, University of Copenhagen, Fredensborg, Denmark
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48
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Poulsen AH, Hvidtfeldt UA, Sørensen M, Puett R, Ketzel M, Brandt J, Geels C, Christensen JH, Raaschou-Nielsen O. Intracranial tumors of the central nervous system and air pollution - a nationwide case-control study from Denmark. Environ Health 2020; 19:81. [PMID: 32641060 PMCID: PMC7346389 DOI: 10.1186/s12940-020-00631-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Accepted: 06/24/2020] [Indexed: 05/11/2023]
Abstract
BACKGROUND Inconclusive evidence has suggested a possible link between air pollution and central nervous system (CNS) tumors. We investigated a range of air pollutants in relation to types of CNS tumors. METHODS We identified all (n = 21,057) intracranial tumors in brain, meninges and cranial nerves diagnosed in Denmark between 1989 and 2014 and matched controls on age, sex and year of birth. We established personal 10-year mean residential outdoor exposure to particulate matter < 2.5 μm (PM2.5), nitrous oxides (NOX), primary emitted black carbon (BC) and ozone. We used conditional logistic regression to calculate odds ratios (OR) linearly (per interquartile range (IQR)) and categorically. We accounted for personal income, employment, marital status, use of medication as well as socio-demographic conditions at area level. RESULTS Malignant tumors of the intracranial CNS was associated with BC (OR: 1.034, 95%CI: 1.005-1.065 per IQR. For NOx the OR per IQR was 1.026 (95%CI: 0.998-1.056). For malignant non-glioma tumors of the brain we found associations with PM2.5 (OR: 1.267, 95%CI: 1.053-1.524 per IQR), BC (OR: 1.049, 95%CI: 0.996-1.106) and NOx (OR: 1.051, 95% CI: 0.996-1.110). CONCLUSION Our results suggest that air pollution is associated with malignant intracranial CNS tumors and malignant non-glioma of the brain. However, additional studies are needed.
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Affiliation(s)
- Aslak Harbo Poulsen
- Danish Cancer Society Research Center, Strandboulevarden 49, DK-2100 Copenhagen Ø, Denmark
| | - Ulla Arthur Hvidtfeldt
- Danish Cancer Society Research Center, Strandboulevarden 49, DK-2100 Copenhagen Ø, Denmark
| | - Mette Sørensen
- Danish Cancer Society Research Center, Strandboulevarden 49, DK-2100 Copenhagen Ø, Denmark
- Department of Natural Science and Environment, Roskilde University, Roskilde, Denmark
| | - Robin Puett
- Danish Cancer Society Research Center, Strandboulevarden 49, DK-2100 Copenhagen Ø, Denmark
- Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, MD USA
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
- Global Centre for Clean Air Research (GCARE) Department of Civil and Environmental Engineering, University of Surrey, Guildford, UK
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Camilla Geels
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | | | - Ole Raaschou-Nielsen
- Danish Cancer Society Research Center, Strandboulevarden 49, DK-2100 Copenhagen Ø, Denmark
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
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49
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Taj T, Poulsen AH, Ketzel M, Geels C, Brandt J, Christensen JH, Puett R, Hvidtfeldt UA, Sørensen M, Raaschou-Nielsen O. Long-term exposure to air pollution and risk of non-Hodgkin lymphoma in Denmark: A population-based case-control study. Int J Cancer 2020; 147:1874-1880. [PMID: 32175588 DOI: 10.1002/ijc.32978] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Revised: 02/24/2020] [Accepted: 03/05/2020] [Indexed: 12/29/2022]
Abstract
There is limited evidence regarding a possible association between exposure to ambient air pollutants and the risk of non-Hodgkin lymphoma (NHL). Previous epidemiological studies have relied on crude estimations for air pollution exposure and/or small numbers of NHL cases. The objective of our study was to analyze this association based on air pollution modeled at the address level and NHL cases identified from the nationwide Danish Cancer Registry. We identified 20,874 incident NHL cases diagnosed between 1989 and 2014 and randomly selected 41,749 controls matched on age and gender among the entire Danish population. We used conditional logistic regression to estimate odds ratios (ORs) and adjusted for individual and neighborhood level sociodemographic variables. There was no association between exposure to PM2.5 , BC, O3 , SO2 or NO2 and overall risk of NHL but several air pollutants were associated with higher risk of follicular lymphoma, but statistically insignificant, for example, PM2.5 (OR = 1.15 per 5 μg/m3 ; 95% CI: 0.98-1.34) and lower risk for diffuse large B-cell lymphoma (OR = 0.92 per 5 μg/m3 ; 95% CI: 0.82-1.03). In this population-based study, we did not observe any convincing evidence of a higher overall risk for NHL with higher exposure to ambient air pollutants.
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Affiliation(s)
- Tahir Taj
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | | | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark.,Global Centre for Clean Air Research (GCARE) Department of Civil and Environmental Engineering, University of Surrey, Guildford, United Kingdom
| | - Camilla Geels
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | | | - Robin Puett
- Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, MD, USA
| | | | - Mette Sørensen
- Danish Cancer Society Research Center, Copenhagen, Denmark.,Department of Natural Science and Environment, Roskilde University, Roskilde, Denmark
| | - Ole Raaschou-Nielsen
- Danish Cancer Society Research Center, Copenhagen, Denmark.,Department of Environmental Science, Aarhus University, Roskilde, Denmark
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50
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Antonsen S, Mok PLH, Webb RT, Mortensen PB, McGrath JJ, Agerbo E, Brandt J, Geels C, Christensen JH, Pedersen CB. Exposure to air pollution during childhood and risk of developing schizophrenia: a national cohort study. Lancet Planet Health 2020; 4:e64-e73. [PMID: 32112749 DOI: 10.1016/s2542-5196(20)30004-8] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2019] [Revised: 01/06/2020] [Accepted: 01/07/2020] [Indexed: 06/10/2023]
Abstract
BACKGROUND Ambient air pollution affects neurological function, but its association with schizophrenia risk is unclear. We investigated exposure to nitrogen oxides (NOX) as a whole and nitrogen dioxide (NO2) specifically, as well as PM10, and PM2·5, during childhood and subsequent schizophrenia risk. METHODS People born in Denmark from 1980 to 1984 (N=230 844), who were residing in the country on their tenth birthday, and who had two Danish-born parents were followed-up from their tenth birthday until schizophrenia diagnosis or Dec 31, 2016. Mean daily exposure to each pollutant (NO2, NOX, PM10, and PM2·5) at all of an individual's residential addresses from birth to their tenth birthday was modelled. Incidence rate ratios, cumulative incidence, and population attributable risks were calculated using survival analysis techniques. FINDINGS We analysed data between Aug 1, 2018, and Nov 15, 2019. Of 230 844 individuals included, 2189 cohort members were diagnosed with schizophrenia during follow-up. Higher concentrations of residential NO2 and NOX exposure during childhood were associated with subsequent elevated schizophrenia risk. People exposed to daily mean concentrations of more than 26·5 μg/m3 NO2 had a 1·62 (95% CI 1·41-1·87) times increased risk compared with people exposed to a mean daily concentration of less than 14·5 μg/m3. The absolute risks of developing schizophrenia by the age of 37 years when exposed to daily mean concentrations of more than 26·5 μg/m3 NO2 between birth and 10 years were 1·45% (95% CI 1·30-1·62%) for men and 1·03% (0·90-1·17) for women, whereas when exposed to a mean daily concentration of less than 14·5 μg/m3, the risk was 0·80% (95% CI 0·69-0·92%) for men and 0·67% (0·57-0·79) for women. Associations between exposure to PM2·5 or PM10 and schizophrenia risk were less consistent. INTERPRETATION If the association between air pollution and schizophrenia is causal, reducing ambient air pollution including NO2 and NOX could have a potentially considerable effect on lowering schizophrenia incidence at the population level. Further investigations are necessary to establish a causal relationship. FUNDING Lundbeck Foundation, Stanley Medical Research Institute, European Research Council, NordForsk, Novo Nordisk Foundation, National Health and Medical Research Council, Danish National Research Foundation.
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Affiliation(s)
- Sussie Antonsen
- National Centre for Register-Based Research, Aarhus Business and Social Sciences, Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark; Centre for Integrated Register-based Research, Aarhus University, Aarhus, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Denmark
| | - Pearl L H Mok
- Centre for Mental Health and Safety, Division of Psychology and Mental Health, Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, UK.
| | - Roger T Webb
- Centre for Mental Health and Safety, Division of Psychology and Mental Health, Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, UK; NIHR Greater Manchester Patient Safety Translational Research Centre, Manchester, UK
| | - Preben B Mortensen
- National Centre for Register-Based Research, Aarhus Business and Social Sciences, Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark; Centre for Integrated Register-based Research, Aarhus University, Aarhus, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Denmark
| | - John J McGrath
- National Centre for Register-Based Research, Aarhus Business and Social Sciences, Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark; Queensland Brain Institute, The University of Queensland, St Lucia, QLD, Australia; Queensland Centre for Mental Health Research, The Park Centre for Mental Health, Wacol, QLD, Australia
| | - Esben Agerbo
- National Centre for Register-Based Research, Aarhus Business and Social Sciences, Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark; Centre for Integrated Register-based Research, Aarhus University, Aarhus, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Denmark
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Camilla Geels
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | | | - Carsten B Pedersen
- National Centre for Register-Based Research, Aarhus Business and Social Sciences, Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark; Centre for Integrated Register-based Research, Aarhus University, Aarhus, Denmark; Big Data Centre for Environment and Health, Aarhus University, Aarhus, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Denmark
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