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Dahlquist M, Frykman V, Hollenberg J, Jonsson M, Stafoggia M, Wellenius GA, Ljungman PLS. Short-Term Ambient Air Pollution Exposure and Risk of Out-of-Hospital Cardiac Arrest in Sweden: A Nationwide Case-Crossover Study. J Am Heart Assoc 2023; 12:e030456. [PMID: 37818697 PMCID: PMC10727387 DOI: 10.1161/jaha.123.030456] [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] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 08/22/2023] [Indexed: 10/12/2023]
Abstract
Background Air pollution is one of the main risk factors for cardiovascular disease globally, but its association with out-of-hospital cardiac arrest at low air pollution levels is unclear. This nationwide study in Sweden aims to investigate if air pollution is associated with a higher risk of out-of-hospital cardiac arrest in an area with relatively low air pollution levels. Methods and Results This study was a nationwide time-stratified case-crossover study investigating the association between short-term air pollution exposures and out-of-hospital cardiac arrest using data from the SRCR (Swedish Registry for Cardiopulmonary Resuscitation) between 2009 and 2019. Daily air pollution levels were estimated in 1×1-km grids for all of Sweden using a satellite-based machine learning model. The association between daily air pollutant levels and out-of-hospital cardiac arrest was quantified using conditional logistic regression adjusted for daily air temperature. Particulate matter <2.5 μm exposure was associated with a higher risk of out-of-hospital cardiac arrest among a total of 29 604 cases. In a multipollutant model, the association was most pronounced for intermediate daily lags, with an increased relative risk of 6.2% (95% CI, 1.0-11.8) per 10 μg/m3 increase of particulate matter <2.5 μm 4 days before the event. A similar pattern of association was observed for particulate matter <10 μm. No clear association was observed for O3 and NO2. Conclusions Short-term exposure to air pollution was associated with higher risk of out-of-hospital cardiac arrest. The findings add to the evidence of an adverse effect of particulate matter on out-of-hospital cardiac arrest, even at very low levels below current regulatory standards.
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Affiliation(s)
- Marcus Dahlquist
- Institute of Environmental MedicineKarolinska InstitutetStockholmSweden
- Department of CardiologyDanderyd University HospitalSweden
| | - Viveka Frykman
- Department of CardiologyDanderyd University HospitalSweden
- Department of Clinical SciencesDanderyd University Hospital, Karolinska InstitutetDanderydSweden
| | - Jacob Hollenberg
- Center for Resuscitation Science, Department of Clinical Science and Education, SödersjukhusetKarolinska InstitutetStockholmSweden
| | - Martin Jonsson
- Center for Resuscitation Science, Department of Clinical Science and Education, SödersjukhusetKarolinska InstitutetStockholmSweden
| | - Massimo Stafoggia
- Institute of Environmental MedicineKarolinska InstitutetStockholmSweden
- Department of EpidemiologyLazio Region Health ServiceRoma 1Italy
| | - Gregory A. Wellenius
- Department of Environmental HealthBoston University School of Public HealthMAUSA
| | - Petter L. S. Ljungman
- Institute of Environmental MedicineKarolinska InstitutetStockholmSweden
- Department of CardiologyDanderyd University HospitalSweden
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2
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Lundin S, Wahlgren CF, Johansson EK, Andersson N, Mogensen I, Ekstrom S, Jonsson M, Melen E, Ljungman PLS, Bergstrom A, Kull I. Childhood atopic dermatitis is associated with cardiovascular risk factors in young adulthood-A population-based cohort study. J Eur Acad Dermatol Venereol 2023; 37:1854-1862. [PMID: 37184288 DOI: 10.1111/jdv.19190] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 04/26/2023] [Indexed: 05/16/2023]
Abstract
BACKGROUND Studies have indicated that atopic dermatitis (AD) is associated with an increased risk of cardiovascular disease (CVD). However, data are conflicting. Furthermore, the longitudinal effect of childhood AD on cardiovascular risk factors in young adulthood is less investigated. OBJECTIVES To assess associations between AD in childhood and CVD risk factors in young adulthood. METHODS The study encompasses longitudinal data from a population-based birth cohort. Participants with data up to age 24 years were included (n = 2270). The primary outcomes were body mass index (BMI), waist circumference (WC), body fat per cent (BF%) and blood pressure (BP) at 24 years. The secondary outcome was blood lipids. Severe AD was defined as AD in combination with sleep disturbance due to itching. RESULTS In total, 18.6% (n = 420) had AD at 24 years. Males with AD had higher BMI (βAdj. 0.81, 95% CI 0.15-1.47), BF% (βAdj. 1.19, 95% CI 0.09-2.29), systolic BP (βAdj. 1.92, 95% CI 0.02-3.82), total cholesterol (βAdj. 0.14, 95% CI 0.00-0.28) and LDL cholesterol (βAdj. 0.15, 95% CI 0.02-0.27) compared with males without AD. No associations were seen in females. Current AD with prepubertal onset was associated with increased BMI in both males (βAdj. 0.89, 95% CI 0.11-1.67) and females (βAdj. 0.72, 95% CI 0.11-1.33). At 24 years, 23.1% (n = 97) of all with AD, had severe disease, which was significantly associated with overweight in both sexes, with BMI (βAdj. 1.83, 95% CI 0.72-2.94), WC (βAdj. 4.03, 95% CI 1.54-6.52) and BF% (βAdj. 2.49, 95% CI 0.60-4.39) in females and with BF% (βAdj. 2.96, 95% CI 0.23-5.69) in males, compared with peers with mild to moderate AD. CONCLUSION AD in males appears to be associated with CVD risk factors in young adulthood. The duration and severity of AD seem to be of importance in both sexes.
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Affiliation(s)
- S Lundin
- Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden
- Sachs' Children and Youth Hospital, Södersjukhuset, Stockholm, Sweden
| | - C F Wahlgren
- Dermatology and Venereology Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - E K Johansson
- Dermatology and Venereology Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
- Department of Dermatology, Karolinska University Hospital, Stockholm, Sweden
| | - N Andersson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - I Mogensen
- Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden
| | - S Ekstrom
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Centre of Occupational and Environmental Medicine, Region Stockholm, Sweden
| | - M Jonsson
- Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Cardiology, Danderyd University Hospital, Stockholm, Sweden
| | - E Melen
- Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden
- Sachs' Children and Youth Hospital, Södersjukhuset, Stockholm, Sweden
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - P L S Ljungman
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Cardiology, Danderyd University Hospital, Stockholm, Sweden
| | - A Bergstrom
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Centre of Occupational and Environmental Medicine, Region Stockholm, Sweden
| | - I Kull
- Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden
- Sachs' Children and Youth Hospital, Södersjukhuset, Stockholm, Sweden
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3
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Ekström S, Andersson N, Kull I, Georgelis A, Ljungman PLS, Melén E, Bergström A. Changes in lifestyle, adiposity, and cardiometabolic markers among young adults in Sweden during the COVID-19 pandemic. BMC Public Health 2023; 23:1026. [PMID: 37259040 DOI: 10.1186/s12889-023-15998-w] [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: 02/01/2023] [Accepted: 05/26/2023] [Indexed: 06/02/2023] Open
Abstract
BACKGROUND The COVID-19 pandemic has impacted on public health in several ways. The aim of the study was to investigate changes in lifestyle, adiposity, and cardiometabolic markers among young adults in Sweden during the COVID-19 pandemic and their determinants. METHODS The study included 1 004 participants from the population-based birth cohort BAMSE. Anthropometrics, body composition (bioelectric impedance analyses), pulse, and blood pressure were measured before (December 2016-May 2019; mean age 22.6 years) and during (October 2020-June 2021; mean age 25.7 years) the COVID-19 pandemic. Lifestyle changes during the pandemic were assessed through a questionnaire. RESULTS All measures of adiposity (weight, BMI, body fat percentage, trunk fat percentage) and cardiometabolic markers (blood pressure, pulse) increased during the study period (e.g., body fat percentage by a median of + 0.8% in females, p < 0.001, and + 1.5% in males, p < 0.001). Male sex, non-Scandinavian ethnicity, BMI status (underweight and obesity), and changes in lifestyle factors, e.g., decreased physical activity during the pandemic, were associated with higher increase in BMI and/or adiposity. CONCLUSION Lifestyle factors, adiposity and cardiometabolic markers may have been adversely affected among young adults in Sweden during the COVID-19 pandemic compared with the preceding years. Targeted public health measures to reduce obesity and improve healthy lifestyle are important to prevent future non-communicable diseases.
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Affiliation(s)
- Sandra Ekström
- Center for Occupational and Environmental Medicine, Torsplan,Solnavägen 4, 113 65, Stockholm, Sweden.
- Institute of Environmental Medicine, Karolinska Institutet, Box 210, 171 77, Stockholm, Sweden.
- Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, 118 83, Stockholm, Sweden.
| | - Niklas Andersson
- Institute of Environmental Medicine, Karolinska Institutet, Box 210, 171 77, Stockholm, Sweden
| | - Inger Kull
- Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, 118 83, Stockholm, Sweden
- Sachs' Children and Youth Hospital, Södersjukhuset, 118 61, Stockholm, Sweden
| | - Antonios Georgelis
- Center for Occupational and Environmental Medicine, Torsplan,Solnavägen 4, 113 65, Stockholm, Sweden
- Institute of Environmental Medicine, Karolinska Institutet, Box 210, 171 77, Stockholm, Sweden
| | - Petter L S Ljungman
- Institute of Environmental Medicine, Karolinska Institutet, Box 210, 171 77, Stockholm, Sweden
- Department of Cardiology, Danderyd University Hospital, 182 57, Danderyd, Sweden
| | - Erik Melén
- Institute of Environmental Medicine, Karolinska Institutet, Box 210, 171 77, Stockholm, Sweden
- Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, 118 83, Stockholm, Sweden
- Sachs' Children and Youth Hospital, Södersjukhuset, 118 61, Stockholm, Sweden
| | - Anna Bergström
- Center for Occupational and Environmental Medicine, Torsplan,Solnavägen 4, 113 65, Stockholm, Sweden
- Institute of Environmental Medicine, Karolinska Institutet, Box 210, 171 77, Stockholm, Sweden
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4
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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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5
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Hvidtfeldt UA, Chen J, Rodopoulou S, Strak M, de Hoogh K, Andersen ZJ, Bellander T, Brandt J, Fecht D, Forastiere F, Gulliver J, Hertel O, Hoffmann BH, Katsouyanni K, Ketzel M, Brynedal B, Leander K, Ljungman PLS, Magnusson PKE, Nagel G, Pershagen G, Rizzuto D, Boutron-Ruault MC, Samoli E, So R, Stafoggia M, Tjønneland A, Vermeulen R, Verschuren WMM, Weinmayr G, Wolf K, Zhang J, Zitt E, Brunekreef B, Hoek G, Raaschou-Nielsen O. Breast Cancer Incidence in Relation to Long-Term Low-Level Exposure to Air Pollution in the ELAPSE Pooled Cohort. Cancer Epidemiol Biomarkers Prev 2023; 32:105-113. [PMID: 36215200 DOI: 10.1158/1055-9965.epi-22-0720] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 09/09/2022] [Accepted: 10/05/2022] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND Established risk factors for breast cancer include genetic disposition, reproductive factors, hormone therapy, and lifestyle-related factors such as alcohol consumption, physical inactivity, smoking, and obesity. More recently a role of environmental exposures, including air pollution, has also been suggested. The aim of this study, was to investigate the relationship between long-term air pollution exposure and breast cancer incidence. METHODS We conducted a pooled analysis among six European cohorts (n = 199,719) on the association between long-term residential levels of ambient nitrogen dioxide (NO2), fine particles (PM2.5), black carbon (BC), and ozone in the warm season (O3) and breast cancer incidence in women. The selected cohorts represented the lower range of air pollutant concentrations in Europe. We applied Cox proportional hazards models adjusting for potential confounders at the individual and area-level. RESULTS During 3,592,885 person-years of follow-up, we observed a total of 9,659 incident breast cancer cases. The results of the fully adjusted linear analyses showed a HR (95% confidence interval) of 1.03 (1.00-1.06) per 10 μg/m³ NO2, 1.06 (1.01-1.11) per 5 μg/m³ PM2.5, 1.03 (0.99-1.06) per 0.5 10-5 m-1 BC, and 0.98 (0.94-1.01) per 10 μg/m³ O3. The effect estimates were most pronounced in the group of middle-aged women (50-54 years) and among never smokers. CONCLUSIONS The results were in support of an association between especially PM2.5 and breast cancer. IMPACT The findings of this study suggest a role of exposure to NO2, PM2.5, and BC in development of breast cancer.
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Affiliation(s)
| | - Jie Chen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Sophia Rodopoulou
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Maciej Strak
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands.,National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute and University of Basel, Basel, Switzerland
| | - Zorana J Andersen
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Tom Bellander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.,Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark.,iClimate - interdisciplinary Centre for Climate Change, Aarhus University, Roskilde, Denmark
| | - Daniela Fecht
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom
| | - Francesco Forastiere
- Department of Epidemiology, Lazio Region Health Service/ASL Roma 1, Rome, Italy.,Environmental Research Group, School of Public Health, Faculty of Medicine, Imperial College, London, United Kingdom
| | - John Gulliver
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom.,Centre for Environmental Health and Sustainability & School of Geography, Geology and the Environment, University of Leicester, Leicester, United Kingdom
| | - Ole Hertel
- Departments of Ecoscience, Aarhus University, Roskilde, Denmark
| | - Barbara H Hoffmann
- Institute for Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Klea Katsouyanni
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece.,MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark.,Global Centre for Clean Air Research (GCARE), University of Surrey, Guildford, United Kingdom
| | - Boel Brynedal
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
| | - Karin Leander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Petter L S Ljungman
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.,Department of Cardiology, Danderyd University Hospital, Stockholm, Sweden
| | - Patrik K E Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Gabriele Nagel
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.,Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Debora Rizzuto
- Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.,Stockholm Gerontology Research Center, Stockholm, Sweden
| | | | - Evangelia Samoli
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Rina So
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Massimo Stafoggia
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.,Department of Epidemiology, Lazio Region Health Service/ASL Roma 1, Rome, Italy
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Copenhagen, Denmark.,Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Roel Vermeulen
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - W M Monique Verschuren
- National Institute for Public Health and the Environment, Bilthoven, the Netherlands.,Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Gudrun Weinmayr
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Kathrin Wolf
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Jiawei Zhang
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Emanuel Zitt
- Agency for Preventive and Social Medicine (aks), Bregenz, Austria.,Department of Internal Medicine 3, LKH Feldkirch, Feldkirch, Austria
| | - Bert Brunekreef
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Gerard Hoek
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Ole Raaschou-Nielsen
- Danish Cancer Society Research Center, Copenhagen, Denmark.,Department of Environmental Science, Aarhus University, Roskilde, Denmark
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Thacher JD, Roswall N, Lissåker C, Aasvang GM, Albin M, Andersson EM, Engström G, Eriksson C, Hvidtfeldt UA, Ketzel M, Khan J, Lanki T, Ljungman PLS, Mattisson K, Molnar P, Raaschou-Nielsen O, Oudin A, Overvad K, Petersen SB, Pershagen G, Poulsen AH, Pyko A, Rizzuto D, Rosengren A, Schioler L, Sjöström M, Stockfelt L, Tiittanen P, Sallsten G, Ögren M, Selander J, Sorensen M. Occupational noise exposure and risk of incident stroke: a pooled study of five Scandinavian cohorts. Occup Environ Med 2022; 79:oemed-2021-108053. [PMID: 35450950 PMCID: PMC9453564 DOI: 10.1136/oemed-2021-108053] [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] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Accepted: 03/11/2022] [Indexed: 12/01/2022]
Abstract
OBJECTIVES To investigate the association between occupational noise exposure and stroke incidence in a pooled study of five Scandinavian cohorts (NordSOUND). METHODS We pooled and harmonised data from five Scandinavian cohorts resulting in 78 389 participants. We obtained job data from national registries or questionnaires and recoded these to match a job-exposure matrix developed in Sweden, which specified the annual average daily noise exposure in five exposure classes (LAeq8h): <70, 70-74, 75-79, 80-84, ≥85 dB(A). We identified residential address history and estimated 1-year average road traffic noise at baseline. Using national patient and mortality registers, we identified 7777 stroke cases with a median follow-up of 20.2 years. Analyses were conducted using Cox proportional hazards models adjusting for individual and area-level potential confounders. RESULTS Exposure to occupational noise at baseline was not associated with overall stroke in the fully adjusted models. For ischaemic stroke, occupational noise was associated with HRs (95% CI) of 1.08 (0.98 to 1.20), 1.09 (0.97 to 1.24) and 1.06 (0.92 to 1.21) in the 75-79, 80-84 and ≥85 dB(A) exposure groups, compared with <70 dB(A), respectively. In subanalyses using time-varying occupational noise exposure, we observed an indication of higher stroke risk among the most exposed (≥85 dB(A)), particularly when restricting analyses to people exposed to occupational noise within the last year (HR: 1.27; 95% CI: 0.99 to 1.63). CONCLUSIONS We found no association between occupational noise and risk of overall stroke after adjustment for confounders. However, the non-significantly increased risk of ischaemic stroke warrants further investigation.
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Affiliation(s)
- Jesse D Thacher
- Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Nina Roswall
- Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Claudia Lissåker
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, 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
| | - 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, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Gunnar Engström
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Charlotta Eriksson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Center for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | | | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
- Global Centre for Clean Air Research (GCARE), University of Surrey, Guildford, UK
| | - Jibran Khan
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
- Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, Roskilde, Denmark
| | - 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
| | - Petter L S Ljungman
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Cardiology, Danderyd Hospital, Stockholm, Sweden
| | - Kristoffer Mattisson
- Division of Occupational and Environmental Medicine, Lund University, Lund, Sweden
| | - Peter Molnar
- 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, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Ole Raaschou-Nielsen
- Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Anna Oudin
- Division of Occupational and Environmental Medicine, Lund University, Lund, Sweden
- Sustainable Health, Umeå University, Umeå, Sweden
| | - Kim Overvad
- Department of Public Health, Aarhus University, Aarhus, Denmark
| | - Sesilje Bondo Petersen
- Department of Occupational and Environmental Medicine, Bispebjerg and Frederiksberg Hospital, 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
| | - Aslak Harbo Poulsen
- Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Andrei Pyko
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Center for Occupational and Environmental Medicine, Region Stockholm, Stockholm, 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
| | - Annika Rosengren
- Molecular and Clinical Medicine, Sahlgrenska Cademy, University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Linus Schioler
- Occupational and Environmental Medicine, School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Mattias Sjöström
- Center for Occupational and Environmental Medicine, Region Stockholm, Stockholm, 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, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Pekka Tiittanen
- Department of Health Security, Finnish Institute for Health and Welfare (THL), Kuopio, Finland
| | - Gerd Sallsten
- Occupational and Environmental Medicine, School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, 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, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Jenny Selander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Mette Sorensen
- 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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7
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Kriit HK, Andersson EM, Carlsen HK, Andersson N, Ljungman PLS, Pershagen G, Segersson D, Eneroth K, Gidhagen L, Spanne M, Molnar P, Wennberg P, Rosengren A, Rizzuto D, Leander K, Yacamán-Méndez D, Magnusson PKE, Forsberg B, Stockfelt L, Sommar JN. Using Distributed Lag Non-Linear Models to Estimate Exposure Lag-Response Associations between Long-Term Air Pollution Exposure and Incidence of Cardiovascular Disease. Int J Environ Res Public Health 2022; 19:ijerph19052630. [PMID: 35270332 PMCID: PMC8909720 DOI: 10.3390/ijerph19052630] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [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: 12/21/2021] [Revised: 02/18/2022] [Accepted: 02/23/2022] [Indexed: 12/23/2022]
Abstract
Long-term air pollution exposure increases the risk for cardiovascular disease, but little is known about the temporal relationships between exposure and health outcomes. This study aims to estimate the exposure-lag response between air pollution exposure and risk for ischemic heart disease (IHD) and stroke incidence by applying distributed lag non-linear models (DLNMs). Annual mean concentrations of particles with aerodynamic diameter less than 2.5 µm (PM2.5) and black carbon (BC) were estimated for participants in five Swedish cohorts using dispersion models. Simultaneous estimates of exposure lags 1-10 years using DLNMs were compared with separate year specific (single lag) estimates and estimates for lag 1-5- and 6-10-years using moving average exposure. The DLNM estimated no exposure lag-response between PM2.5 total, BC, and IHD. However, for PM2.5 from local sources, a 20% risk increase per 1 µg/m3 for 1-year lag was estimated. A risk increase for stroke was suggested in relation to lags 2-4-year PM2.5 and BC, and also lags 8-9-years BC. No associations were shown in single lag models. Increased risk estimates for stroke in relation to lag 1-5- and 6-10-years BC moving averages were observed. Estimates generally supported a greater contribution to increased risk from exposure windows closer in time to incident IHD and incident stroke.
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Affiliation(s)
- Hedi Katre Kriit
- Section of Sustainable Health, Department of Public Health and Clinical Medicine, Umeå University, 90187 Umeå, Sweden; (B.F.); (J.N.S.)
- Correspondence: ; Tel.: +46-722-40-5220
| | - Eva M. Andersson
- Occupational and Environmental Medicine, Department of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, 40530 Gothenburg, Sweden; (E.M.A.); (H.K.C.); (P.M.); (L.S.)
| | - Hanne K. Carlsen
- Occupational and Environmental Medicine, Department of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, 40530 Gothenburg, Sweden; (E.M.A.); (H.K.C.); (P.M.); (L.S.)
| | - Niklas Andersson
- Institute of Environmental Medicine, Karolinska Institutet, 17177 Stockholm, Sweden; (N.A.); (P.L.S.L.); (G.P.); (K.L.)
| | - Petter L. S. Ljungman
- Institute of Environmental Medicine, Karolinska Institutet, 17177 Stockholm, Sweden; (N.A.); (P.L.S.L.); (G.P.); (K.L.)
- Department of Cardiology, Danderyd Hospital, 18233 Stockholm, Sweden
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institutet, 17177 Stockholm, Sweden; (N.A.); (P.L.S.L.); (G.P.); (K.L.)
- Centre for Occupational and Environmental Medicine, Region Stockholm, 11365 Stockholm, Sweden
| | - David Segersson
- Swedish Meteorological and Hydrological Institute, 60176 Norrköping, Sweden; (D.S.); (L.G.)
| | - Kristina Eneroth
- SLB-Analys, Environment and Health Administration, 10420 Stockholm, Sweden;
| | - Lars Gidhagen
- Swedish Meteorological and Hydrological Institute, 60176 Norrköping, Sweden; (D.S.); (L.G.)
| | - Mårten Spanne
- Environmental Department of the City of Malmö, 20580 Malmo, Sweden;
| | - Peter Molnar
- Occupational and Environmental Medicine, Department of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, 40530 Gothenburg, Sweden; (E.M.A.); (H.K.C.); (P.M.); (L.S.)
| | - Patrik Wennberg
- Department of Public Health and Clinical Medicine, Family Medicine, Umeå University, 90187 Umeå, Sweden;
| | - Annika Rosengren
- Department of Molecular and Clinical Medicine, Institute of Medicine, University of Gothenburg, Sahlgrenska University Hospital, 40530 Gothenburg, Sweden;
| | - Debora Rizzuto
- Ageing Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, 17177 Stockholm, Sweden;
- Stockholm Gerontology Research Center, 11346 Stockholm, Sweden
| | - Karin Leander
- Institute of Environmental Medicine, Karolinska Institutet, 17177 Stockholm, Sweden; (N.A.); (P.L.S.L.); (G.P.); (K.L.)
| | - Diego Yacamán-Méndez
- Department of Global Public Health, Karolinska Institutet, 17177 Stockholm, Sweden;
- Centre for Epidemiology and Community Medicine, Region Stockholm, 10431 Stockholm, Sweden
| | - Patrik K. E. Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 17177 Stockholm, Sweden;
| | - Bertil Forsberg
- Section of Sustainable Health, Department of Public Health and Clinical Medicine, Umeå University, 90187 Umeå, Sweden; (B.F.); (J.N.S.)
| | - Leo Stockfelt
- Occupational and Environmental Medicine, Department of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, 40530 Gothenburg, Sweden; (E.M.A.); (H.K.C.); (P.M.); (L.S.)
| | - Johan N. Sommar
- Section of Sustainable Health, Department of Public Health and Clinical Medicine, Umeå University, 90187 Umeå, Sweden; (B.F.); (J.N.S.)
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8
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Stafoggia M, Oftedal B, Chen J, Rodopoulou S, Renzi M, Atkinson RW, Bauwelinck M, Klompmaker JO, Mehta A, Vienneau D, Andersen ZJ, Bellander T, Brandt J, Cesaroni G, de Hoogh K, Fecht D, Gulliver J, Hertel O, Hoffmann B, Hvidtfeldt UA, Jöckel KH, Jørgensen JT, Katsouyanni K, Ketzel M, Kristoffersen DT, Lager A, Leander K, Liu S, Ljungman PLS, Nagel G, Pershagen G, Peters A, Raaschou-Nielsen O, Rizzuto D, Schramm S, Schwarze PE, Severi G, Sigsgaard T, Strak M, van der Schouw YT, Verschuren M, Weinmayr G, Wolf K, Zitt E, Samoli E, Forastiere F, Brunekreef B, Hoek G, Janssen NAH. Long-term exposure to low ambient air pollution concentrations and mortality among 28 million people: results from seven large European cohorts within the ELAPSE project. Lancet Planet Health 2022; 6:e9-e18. [PMID: 34998464 DOI: 10.1016/s2542-5196(21)00277-1] [Citation(s) in RCA: 96] [Impact Index Per Article: 48.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 09/13/2021] [Accepted: 09/20/2021] [Indexed: 05/21/2023]
Abstract
BACKGROUND Long-term exposure to ambient air pollution has been associated with premature mortality, but associations at concentrations lower than current annual limit values are uncertain. We analysed associations between low-level air pollution and mortality within the multicentre study Effects of Low-Level Air Pollution: A Study in Europe (ELAPSE). METHODS In this multicentre longitudinal study, we analysed seven population-based cohorts of adults (age ≥30 years) within ELAPSE, from Belgium, Denmark, England, the Netherlands, Norway, Rome (Italy), and Switzerland (enrolled in 2000-11; follow-up until 2011-17). Mortality registries were used to extract the underlying cause of death for deceased individuals. Annual average concentrations of fine particulate matter (PM2·5), nitrogen dioxide (NO2), black carbon, and tropospheric warm-season ozone (O3) from Europe-wide land use regression models at 100 m spatial resolution were assigned to baseline residential addresses. We applied cohort-specific Cox proportional hazard models with adjustment for area-level and individual-level covariates to evaluate associations with non-accidental mortality, as the main outcome, and with cardiovascular, non-malignant respiratory, and lung cancer mortality. Subset analyses of participants living at low pollutant concentrations (as per predefined values) and natural splines were used to investigate the concentration-response function. Cohort-specific effect estimates were pooled in a random-effects meta-analysis. FINDINGS We analysed 28 153 138 participants contributing 257 859 621 person-years of observation, during which 3 593 741 deaths from non-accidental causes occurred. We found significant positive associations between non-accidental mortality and PM2·5, NO2, and black carbon, with a hazard ratio (HR) of 1·053 (95% CI 1·021-1·085) per 5 μg/m3 increment in PM2·5, 1·044 (1·019-1·069) per 10 μg/m3 NO2, and 1·039 (1·018-1·059) per 0·5 × 10-5/m black carbon. Associations with PM2·5, NO2, and black carbon were slightly weaker for cardiovascular mortality, similar for non-malignant respiratory mortality, and stronger for lung cancer mortality. Warm-season O3 was negatively associated with both non-accidental and cause-specific mortality. Associations were stronger at low concentrations: HRs for non-accidental mortality at concentrations lower than the WHO 2005 air quality guideline values for PM2·5 (10 μg/m3) and NO2 (40 μg/m3) were 1·078 (1·046-1·111) per 5 μg/m3 PM2·5 and 1·049 (1·024-1·075) per 10 μg/m3 NO2. Similarly, the association between black carbon and non-accidental mortality was highest at low concentrations, with a HR of 1·061 (1·032-1·092) for exposure lower than 1·5× 10-5/m, and 1·081 (0·966-1·210) for exposure lower than 1·0× 10-5/m. INTERPRETATION Long-term exposure to concentrations of PM2·5 and NO2 lower than current annual limit values was associated with non-accidental, cardiovascular, non-malignant respiratory, and lung cancer mortality in seven large European cohorts. Continuing research on the effects of low concentrations of air pollutants is expected to further inform the process of setting air quality standards in Europe and other global regions. FUNDING Health Effects Institute.
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Affiliation(s)
- Massimo Stafoggia
- Department of Epidemiology, Lazio Region Health Service, ASL Roma 1, Rome, Italy; Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
| | - Bente Oftedal
- Department of Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Jie Chen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Sophia Rodopoulou
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Matteo Renzi
- Department of Epidemiology, Lazio Region Health Service, ASL Roma 1, Rome, Italy
| | - Richard W Atkinson
- Population Health Research Institute, St George's, University of London, London, UK
| | - Mariska Bauwelinck
- Interface Demography-Department of Sociology, Vrije Universiteit Brussel, Brussels, Belgium
| | - Jochem O Klompmaker
- National Institute for Public Health and the Environment, Bilthoven, Netherlands; Harvard T H Chan School of Public Health, Boston, MA, USA
| | - Amar Mehta
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Danielle Vienneau
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Zorana J Andersen
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Tom Bellander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; iClimate Aarhus University Interdisciplinary Centre for Climate Change, Aarhus, Denmark
| | - Giulia Cesaroni
- Department of Epidemiology, Lazio Region Health Service, ASL Roma 1, Rome, Italy
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Daniela Fecht
- School of Public Health, Faculty of Medicine, Imperial College London, London, UK
| | - John Gulliver
- School of Public Health, Faculty of Medicine, Imperial College London, London, UK; Centre for Environmental Health and Sustainability and School of Geography, Geology and the Environment, University of Leicester, Leicester, UK
| | - Ole Hertel
- Department of Bioscience, Aarhus University, Roskilde, Denmark
| | - Barbara Hoffmann
- Institute for Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | | | - Karl-Heinz Jöckel
- Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University of Duisburg-Essen, Essen, Germany
| | - Jeanette T Jørgensen
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Klea Katsouyanni
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece; School of Public Health, Faculty of Medicine, Imperial College London, London, UK
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; Global Centre for Clean Air Research, University of Surrey, Guildford, UK
| | | | - Anton Lager
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
| | - Karin Leander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Shuo Liu
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Petter L S Ljungman
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Department of Cardiology, Danderyd University Hospital, Stockholm, Sweden
| | - Gabriele Nagel
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany; Ludwig Maximilians Universität München, Munich, Germany
| | - Ole Raaschou-Nielsen
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Debora Rizzuto
- Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden; Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Sara Schramm
- Institute for Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, University Hospital Essen, Germany
| | - Per E Schwarze
- Division for Infection Control and Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Gianluca Severi
- Exposome and Heredity Team, University Paris-Saclay, UVSQ, INSERM, Gustave Roussy, Villejuif, France; Department of Statistics, Computer Science and Applications "G Parenti", University of Florence, Italy
| | - Torben Sigsgaard
- Department of Public Health, Environment Occupation and Health, Danish Ramazzini Centre, Aarhus University, Aarhus, Denmark
| | - Maciek Strak
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands; National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Monique Verschuren
- National Institute for Public Health and the Environment, Bilthoven, Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Gudrun Weinmayr
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Kathrin Wolf
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Emanuel Zitt
- Agency for Preventive and Social Medicine, Bregenz, Austria
| | - Evangelia Samoli
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Francesco Forastiere
- Department of Epidemiology, Lazio Region Health Service, ASL Roma 1, Rome, Italy; School of Public Health, Faculty of Medicine, Imperial College London, London, UK
| | - Bert Brunekreef
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Gerard Hoek
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Nicole A H Janssen
- National Institute for Public Health and the Environment, Bilthoven, Netherlands
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9
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Wolf K, Hoffmann B, Andersen ZJ, Atkinson RW, Bauwelinck M, Bellander T, Brandt J, Brunekreef B, Cesaroni G, Chen J, de Faire U, de Hoogh K, Fecht D, Forastiere F, Gulliver J, Hertel O, Hvidtfeldt UA, Janssen NAH, Jørgensen JT, Katsouyanni K, Ketzel M, Klompmaker JO, Lager A, Liu S, MacDonald CJ, Magnusson PKE, Mehta AJ, Nagel G, Oftedal B, Pedersen NL, Pershagen G, Raaschou-Nielsen O, Renzi M, Rizzuto D, Rodopoulou S, Samoli E, van der Schouw YT, Schramm S, Schwarze P, Sigsgaard T, Sørensen M, Stafoggia M, Strak M, Tjønneland A, Verschuren WMM, Vienneau D, Weinmayr G, Hoek G, Peters A, Ljungman PLS. Long-term exposure to low-level ambient air pollution and incidence of stroke and coronary heart disease: a pooled analysis of six European cohorts within the ELAPSE project. Lancet Planet Health 2021; 5:e620-e632. [PMID: 34508683 DOI: 10.1016/s2542-5196(21)00195-9] [Citation(s) in RCA: 101] [Impact Index Per Article: 33.7] [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: 07/16/2020] [Revised: 06/23/2021] [Accepted: 07/02/2021] [Indexed: 05/07/2023]
Abstract
BACKGROUND Long-term exposure to outdoor air pollution increases the risk of cardiovascular disease, but evidence is unclear on the health effects of exposure to pollutant concentrations lower than current EU and US standards and WHO guideline limits. Within the multicentre study Effects of Low-Level Air Pollution: A Study in Europe (ELAPSE), we investigated the associations of long-term exposures to fine particulate matter (PM2·5), nitrogen dioxide (NO2), black carbon, and warm-season ozone (O3) with the incidence of stroke and acute coronary heart disease. METHODS We did a pooled analysis of individual data from six population-based cohort studies within ELAPSE, from Sweden, Denmark, the Netherlands, and Germany (recruited 1992-2004), and harmonised individual and area-level variables between cohorts. Participants (all adults) were followed up until migration from the study area, death, or incident stroke or coronary heart disease, or end of follow-up (2011-15). Mean 2010 air pollution concentrations from centrally developed European-wide land use regression models were assigned to participants' baseline residential addresses. We used Cox proportional hazards models with increasing levels of covariate adjustment to investigate the association of air pollution exposure with incidence of stroke and coronary heart disease. We assessed the shape of the concentration-response function and did subset analyses of participants living at pollutant concentrations lower than predefined values. FINDINGS From the pooled ELAPSE cohorts, data on 137 148 participants were analysed in our fully adjusted model. During a median follow-up of 17·2 years (IQR 13·8-19·5), we observed 6950 incident events of stroke and 10 071 incident events of coronary heart disease. Incidence of stroke was associated with PM2·5 (hazard ratio 1·10 [95% CI 1·01-1·21] per 5 μg/m3 increase), NO2 (1·08 [1·04-1·12] per 10 μg/m3 increase), and black carbon (1·06 [1·02-1·10] per 0·5 10-5/m increase), whereas coronary heart disease incidence was only associated with NO2 (1·04 [1·01-1·07]). Warm-season O3 was not associated with an increase in either outcome. Concentration-response curves indicated no evidence of a threshold below which air pollutant concentrations are not harmful for cardiovascular health. Effect estimates for PM2·5 and NO2 remained elevated even when restricting analyses to participants exposed to pollutant concentrations lower than the EU limit values of 25 μg/m3 for PM2·5 and 40 μg/m3 for NO2. INTERPRETATION Long-term air pollution exposure was associated with incidence of stroke and coronary heart disease, even at pollutant concentrations lower than current limit values. FUNDING Health Effects Institute.
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Affiliation(s)
- Kathrin Wolf
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany.
| | - Barbara Hoffmann
- Institute for Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Zorana J Andersen
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Richard W Atkinson
- Population Health Research Institute, St George's, University of London, London, UK
| | - Mariska Bauwelinck
- Interface Demography, Department of Sociology, Vrije Universiteit Brussel, Brussels, Belgium
| | - Tom Bellander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; iClimate, Interdisciplinary Centre for Climate Change, Aarhus University, Denmark
| | - Bert Brunekreef
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Giulia Cesaroni
- Department of Epidemiology-Lazio Regional Health Service, ASL Roma 1, Rome, Italy
| | - Jie Chen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Ulf de Faire
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Daniela Fecht
- School of Public Health, Faculty of Medicine, Imperial College London, London, UK
| | - Francesco Forastiere
- Department of Epidemiology-Lazio Regional Health Service, ASL Roma 1, Rome, Italy; School of Public Health, Faculty of Medicine, Imperial College London, London, UK
| | - John Gulliver
- School of Public Health, Faculty of Medicine, Imperial College London, London, UK; Centre for Environmental Health and Sustainability, University of Leicester, Leicester, UK; School of Geography, Geology and the Environment, University of Leicester, Leicester, UK
| | - Ole Hertel
- Department of Bioscience, Aarhus University, Roskilde, Denmark
| | | | - Nicole A H Janssen
- National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - Jeanette T Jørgensen
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Klea Katsouyanni
- School of Public Health, Faculty of Medicine, Imperial College London, London, UK; Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; Global Centre for Clean Air Research, University of Surrey, Surrey, UK
| | - Jochem O Klompmaker
- National Institute for Public Health and the Environment, Bilthoven, Netherlands; Harvard T H Chan School of Public Health, Boston, MA, USA
| | - Anton Lager
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
| | - Shuo Liu
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Conor J MacDonald
- INSERM U1018, CESP, Institut Gustave Roussy, Université Paris-Saclay, Université Paris-Sud, Villejuif, France
| | - Patrik K E Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Amar J Mehta
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Gabriele Nagel
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Bente Oftedal
- Department of Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Nancy L Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Ole Raaschou-Nielsen
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Matteo Renzi
- Department of Epidemiology-Lazio Regional Health Service, ASL Roma 1, Rome, Italy
| | - Debora Rizzuto
- Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden; Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Sophia Rodopoulou
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Evangelia Samoli
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Sara Schramm
- Institute for Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, University Hospital Essen, Essen, Germany
| | - Per Schwarze
- Global Health Cluster, Norwegian Institute of Public Health, Oslo, Norway
| | - Torben Sigsgaard
- Department of Public Health, Environment Occupation and Health, Danish Ramazzini Centre, Aarhus University, Aarhus, Denmark
| | - Mette Sørensen
- Danish Cancer Society Research Center, Copenhagen, Denmark; Department of Natural Science and Environment, Roskilde University, Roskilde, Denmark
| | - Massimo Stafoggia
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Department of Epidemiology-Lazio Regional Health Service, ASL Roma 1, Rome, Italy
| | - Maciek Strak
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands; National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | | | - W M Monique Verschuren
- National Institute for Public Health and the Environment, Bilthoven, Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Danielle Vienneau
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Gudrun Weinmayr
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Gerard Hoek
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany; Ludwig Maximilians Universität München, Munich, Germany
| | - Petter L S Ljungman
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Department of Cardiology, Danderyd University Hospital, Stockholm, Sweden
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10
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Grande G, Wu J, Ljungman PLS, Stafoggia M, Bellander T, Rizzuto D. Long-Term Exposure to PM2.5 and Cognitive Decline: A Longitudinal Population-Based Study. J Alzheimers Dis 2021; 80:591-599. [PMID: 33579834 DOI: 10.3233/jad-200852] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
BACKGROUND A growing but contrasting evidence relates air pollution to cognitive decline. The role of cerebrovascular diseases in amplifying this risk is unclear. OBJECTIVES 1) Investigate the association between long-term exposure to air pollution and cognitive decline; 2) Test whether cerebrovascular diseases amplify this association. METHODS We examined 2,253 participants of the Swedish National study on Aging and Care in Kungsholmen (SNAC-K). One major air pollutant (particulate matter ≤2.5μm, PM2.5) was assessed yearly from 1990, using dispersion models for outdoor levels at residential addresses. The speed of cognitive decline (Mini-Mental State Examination, MMSE) was estimated as the rate of MMSE decline (linear mixed models) and further dichotomized into the upper (25%fastest cognitive decline), versus the three lower quartiles. The cognitive scores were used to calculate the odds of fast cognitive decline per levels of PM2.5 using regression models and considering linear and restricted cubic splines of 10 years exposure before the baseline. The potential modifier effect of cerebrovascular diseases was tested by adding an interaction term in the model. RESULTS We observed an inverted U-shape relationship between PM2.5 and cognitive decline. The multi-adjusted piecewise regression model showed an increased OR of fast cognitive decline of 81%(95%CI = 1.2-3.2) per interquartile range difference up to mean PM2.5 level (8.6μg/m3) for individuals older than 80. Above such level we observed no further risk increase (OR = 0.89;95%CI = 0.74-1.06). The presence of cerebrovascular diseases further increased such risk by 6%. CONCLUSION Low to mean PM2.5 levels were associated with higher risk of accelerated cognitive decline. Cerebrovascular diseases further amplified such risk.
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Affiliation(s)
- Giulia Grande
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Jing Wu
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Petter L S Ljungman
- Institute of Environmental Medicine (IMM), Karolinska Institutet, Stockholm, Sweden.,Department of Cardiology, Danderyd Hospital, Stockholm Sweden
| | - Massimo Stafoggia
- Institute of Environmental Medicine (IMM), Karolinska Institutet, Stockholm, Sweden.,Department of Epidemiology, Lazio Region Service, ASL Rome 1, Rome, Italy
| | - Tom Bellander
- Institute of Environmental Medicine (IMM), Karolinska Institutet, Stockholm, Sweden.,Center for Occupational and Environmental Medicine, Stockholm Region, 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
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11
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Grande G, Ljungman PLS, Eneroth K, Bellander T, Rizzuto D. Association Between Cardiovascular Disease and Long-term Exposure to Air Pollution With the Risk of Dementia. JAMA Neurol 2021; 77:801-809. [PMID: 32227140 PMCID: PMC7105952 DOI: 10.1001/jamaneurol.2019.4914] [Citation(s) in RCA: 121] [Impact Index Per Article: 40.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Question Does cardiovascular disease play a role in the association between long-term
exposure to air pollution and dementia? Findings In this cohort study of 2927 participants in the Swedish National Study on
Aging and Care in Kungsholmen, air pollution exposure was associated with
dementia risk despite comparatively low exposure levels. Heart failure and
ischemic heart disease enhanced this association, and the development of
stroke seemed to be an important intermediate condition. Meaning In this study, virtually all of the association between air pollution and
dementia seemed to occur through the presence or the development of
cardiovascular disease, which suggests a need to optimize treatment of
concurrent cardiovascular disease and risk factor control in older adults at
higher risk for dementia and living in polluted urban areas. Importance Emerging yet contrasting evidence associates air pollution with incident
dementia, and the potential role of cardiovascular disease (CVD) in this
association is unclear. Objective To investigate the association between long-term exposure to air pollution
and dementia and to assess the role of CVD in that association. Design, Setting, and Participants Data for this cohort study were extracted from the ongoing Swedish National
Study on Aging and Care in Kungsholmen (SNAC-K), a longitudinal
population-based study with baseline assessments from March 21, 2001,
through August 30, 2004. Of the 5111 randomly selected residents in the
Kungsholmen district of Stockholm 60 years or older and living at home or in
institutions, 521 were not eligible (eg, due to death before the start of
the study or no contact information). Among the remaining 4590 individuals,
3363 (73.3%) were assessed. For the current analysis, 2927 participants who
did not have dementia at baseline were examined, with follow-up to 2013
(mean [SD] follow-up time, 6.01 [2.56] years). Follow-up was completed
February 18, 2013, and data were analyzed from June 26, 2018, through June
20, 2019. Exposures Two major air pollutants (particulate matter ≤2.5 μm
[PM2.5] and nitrogen oxide [NOx]) were assessed
yearly from 1990, using dispersion models for outdoor levels at residential
addresses. Main Outcomes and Measures The hazard of dementia was estimated using Cox proportional hazards
regression models. The potential of CVD (ie, atrial fibrillation, ischemic
heart disease, heart failure, and stroke) to modify and mediate the
association between long-term exposure to air pollution and dementia was
tested using stratified analyses and generalized structural equation
modeling. Results At baseline, the mean (SD) age of the 2927 participants was 74.1 (10.7)
years, and 1845 (63.0%) were female. Three hundred sixty-four participants
with incident dementia were identified. The hazard of dementia increased by
as much as 50% per interquartile range difference in mean pollutant levels
during the previous 5 years at the residential address (hazard ratio [HR]
for difference of 0.88 μg/m3 PM2.5, 1.54 [95% CI,
1.33-1.78]; HR for difference of 8.35 μg/m3 NOx,
1.14 [95% CI, 1.01-1.29]). Heart failure (HR for PM2.5, 1.93 [95%
CI, 1.54-2.43]; HR for NOx, 1.43 [95% CI, 1.17-1.75]) and
ischemic heart disease (HR for PM2.5, 1.67 [95% CI, 1.32-2.12];
HR for NOx, 1.36 [95% CI, 1.07-1.71]) enhanced the dementia risk,
whereas stroke appeared to be the most important intermediate condition,
explaining 49.4% of air pollution–related dementia cases. Conclusions and Relevance This study found that long-term exposure to air pollution was associated with
a higher risk of dementia. Heart failure and ischemic heart disease appeared
to enhance the association between air pollution and dementia, whereas
stroke seemed to be an important intermediate condition between the
association of air pollution exposure with dementia.
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Affiliation(s)
- Giulia Grande
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Petter L S Ljungman
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.,Department of Cardiology, Danderyd Hospital, Stockholm, Sweden
| | - Kristina Eneroth
- Environment and Health Administration, City of Stockholm, Sweden
| | - Tom Bellander
- Institute of Environmental Medicine, Karolinska Institutet, 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
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12
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Hvidtfeldt UA, Chen J, Andersen ZJ, Atkinson R, Bauwelinck M, Bellander T, Brandt J, Brunekreef B, Cesaroni G, Concin H, Fecht D, Forastiere F, van Gils CH, Gulliver J, Hertel O, Hoek G, Hoffmann B, de Hoogh K, Janssen N, Jørgensen JT, Katsouyanni K, Jöckel KH, Ketzel M, Klompmaker JO, Lang A, Leander K, Liu S, Ljungman PLS, Magnusson PKE, Mehta AJ, Nagel G, Oftedal B, Pershagen G, Peter RS, Peters A, Renzi M, Rizzuto D, Rodopoulou S, Samoli E, Schwarze PE, Severi G, Sigsgaard T, Stafoggia M, Strak M, Vienneau D, Weinmayr G, Wolf K, Raaschou-Nielsen O. Long-term exposure to fine particle elemental components and lung cancer incidence in the ELAPSE pooled cohort. Environ Res 2021; 193:110568. [PMID: 33278469 DOI: 10.1016/j.envres.2020.110568] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Revised: 11/20/2020] [Accepted: 11/29/2020] [Indexed: 05/21/2023]
Abstract
BACKGROUND An association between long-term exposure to fine particulate matter (PM2.5) and lung cancer has been established in previous studies. PM2.5 is a complex mixture of chemical components from various sources and little is known about whether certain components contribute specifically to the associated lung cancer risk. The present study builds on recent findings from the "Effects of Low-level Air Pollution: A Study in Europe" (ELAPSE) collaboration and addresses the potential association between specific elemental components of PM2.5 and lung cancer incidence. METHODS We pooled seven cohorts from across Europe and assigned exposure estimates for eight components of PM2.5 representing non-tail pipe emissions (copper (Cu), iron (Fe), and zinc (Zn)), long-range transport (sulfur (S)), oil burning/industry emissions (nickel (Ni), vanadium (V)), crustal material (silicon (Si)), and biomass burning (potassium (K)) to cohort participants' baseline residential address based on 100 m by 100 m grids from newly developed hybrid models combining air pollution monitoring, land use data, satellite observations, and dispersion model estimates. We applied stratified Cox proportional hazards models, adjusting for potential confounders (age, sex, calendar year, marital status, smoking, body mass index, employment status, and neighborhood-level socio-economic status). RESULTS The pooled study population comprised 306,550 individuals with 3916 incident lung cancer events during 5,541,672 person-years of follow-up. We observed a positive association between exposure to all eight components and lung cancer incidence, with adjusted HRs of 1.10 (95% CI 1.05, 1.16) per 50 ng/m3 PM2.5 K, 1.09 (95% CI 1.02, 1.15) per 1 ng/m3 PM2.5 Ni, 1.22 (95% CI 1.11, 1.35) per 200 ng/m3 PM2.5 S, and 1.07 (95% CI 1.02, 1.12) per 200 ng/m3 PM2.5 V. Effect estimates were largely unaffected by adjustment for nitrogen dioxide (NO2). After adjustment for PM2.5 mass, effect estimates of K, Ni, S, and V were slightly attenuated, whereas effect estimates of Cu, Si, Fe, and Zn became null or negative. CONCLUSIONS Our results point towards an increased risk of lung cancer in connection with sources of combustion particles from oil and biomass burning and secondary inorganic aerosols rather than non-exhaust traffic emissions. Specific limit values or guidelines targeting these specific PM2.5 components may prove helpful in future lung cancer prevention strategies.
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Affiliation(s)
| | - Jie Chen
- Institute of Risk Assessment Sciences, University of Utrecht, P.O. Box 80177, Utrecht, NL 3508 TD, the Netherlands.
| | - Zorana Jovanovic Andersen
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Øster Farimagsgade 5, Copenhagen, 1014, Denmark.
| | - Richard Atkinson
- Population Health Research Institute and MRC-PHE Centre for Environment and Health, St George's, University of London, London, UK.
| | - Mariska Bauwelinck
- Interface Demography - Department of Sociology, Vrije Universiteit Brussel, Pleinlaan 2, Brussels, 1050, Belgium.
| | - Tom Bellander
- Institute of Environmental Medicine, Karolinska Institutet, Box 210, Stockholm, SE-171 77, Sweden; Center for Occupational and Environmental Medicine, Region Stockholm, Solnavägen 4, Plan 10, Stockholm, SE-113 65, Sweden.
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, P.O.Box 358, Roskilde, 4000, Denmark; IClimate - Aarhus University Interdisciplinary Centre for Climate Change, Frederiksborgvej 399, P.O.Box 358, Roskilde, 4000, Denmark.
| | - Bert Brunekreef
- Institute of Risk Assessment Sciences, University of Utrecht, P.O. Box 80177, Utrecht, NL 3508 TD, the Netherlands.
| | - Giulia Cesaroni
- Department of Epidemiology, Lazio Region Health Service / ASL Roma 1, Via Cristoforo Colombo 112, Rome, 00147, Italy.
| | - Hans Concin
- Agency for Preventive and Social Medicine, Rheinstraße 61, Bregenz, 6900, Austria.
| | - Daniela Fecht
- UK Small Area Health Statistics Unit, MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, W2 1PG, UK.
| | - Francesco Forastiere
- Institute for Biomedical Research and Innovation (IRIB), National Research Council, Palermo, 90146, Italy; Environmental Research Group, Imperial College, London, W12 0BZ, UK.
| | - Carla H van Gils
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, P.O. Box 85500, GA, Utrecht, 3508, the Netherlands.
| | - John Gulliver
- Centre for Environmental Health and Sustainability & School of Geography, Geology and the Environment, University of Leicester, Leicester, LE1 7RH, UK.
| | - Ole Hertel
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, P.O.Box 358, Roskilde, 4000, Denmark.
| | - Gerard Hoek
- Institute of Risk Assessment Sciences, University of Utrecht, P.O. Box 80177, Utrecht, NL 3508 TD, the Netherlands.
| | - Barbara Hoffmann
- Institute of Occupational, Social and Environmental Medicine, Medical Faculty, Heinrich Heine University, Gurlittstraße 55, Dusseldorf, 40223, Germany.
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Socinstrasse 57, Basel, 4051, Switzerland; University of Basel, Petersplatz 1, Postfach, Basel, 4001, Switzerland.
| | - Nicole Janssen
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands.
| | - Jeanette Therming Jørgensen
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Øster Farimagsgade 5, Copenhagen, 1014, Denmark.
| | - Klea Katsouyanni
- Dept. of Hygiene, Epidemiology and Medical Statistics, National and Kapodistrian University of Athens, Medical School 75, Mikras Asias Street, Athens, 115 27, Greece; NIHR HPRU Health Impact of Environmental Hazards, School of Public Health, Imperial College, London, UK.
| | - Karl-Heinz Jöckel
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Essen, 45147, Germany.
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, P.O.Box 358, Roskilde, 4000, Denmark; Global Centre for Clean Air Research (GCARE), University of Surrey, Guildford, United Kingdom.
| | - Jochem O Klompmaker
- Institute of Risk Assessment Sciences, University of Utrecht, P.O. Box 80177, Utrecht, NL 3508 TD, the Netherlands; Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Essen, 45147, Germany.
| | - Alois Lang
- Cancer Registry Vorarlberg, Agency for Preventive and Social Medicine, Rheinstraße 61, Bregenz, 6900, Austria.
| | - Karin Leander
- Institute of Environmental Medicine, Karolinska Institutet, Box 210, Stockholm, SE-171 77, Sweden.
| | - Shuo Liu
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Øster Farimagsgade 5, Copenhagen, 1014, Denmark.
| | - Petter L S Ljungman
- Institute of Environmental Medicine, Karolinska Institutet, Box 210, Stockholm, SE-171 77, Sweden; Department of Cardiology, Danderyd University Hospital, Stockholm, Sweden.
| | - Patrik K E Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, SE-171 77 Stockholm, Sweden.
| | - Amar Jayant Mehta
- Statistics Denmark, Sejrøgade 11, 2100, Copenhagen, Denmark; Section of Epidemiology, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Øster Farimagsgade 5, 1014, Copenhagen, Denmark.
| | - Gabriele Nagel
- Agency for Preventive and Social Medicine, Rheinstraße 61, Bregenz, 6900, Austria; Institute of Epidemiology and Medical Biometry, Ulm University, Helmholtzstr. 22, 89081, Ulm, Germany.
| | - Bente Oftedal
- Section of Air Pollution and Noise, Norwegian Institute of Public Health, P.O. Box 222, Skøyen, N-0213, Oslo, Norway.
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institutet, Box 210, Stockholm, SE-171 77, Sweden; Center for Occupational and Environmental Medicine, Region Stockholm, Solnavägen 4, Plan 10, Stockholm, SE-113 65, Sweden.
| | - Raphael Simon Peter
- Institute of Epidemiology and Medical Biometry, Ulm University, Helmholtzstr. 22, 89081, Ulm, Germany.
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany; Chair of Epidemiology, Ludwig Maximilians Universität München, Munich, Germany.
| | - Matteo Renzi
- Department of Epidemiology, Lazio Region Health Service / ASL Roma 1, Via Cristoforo Colombo 112, Rome, 00147, Italy.
| | - Debora Rizzuto
- Aging Research Center, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet and Stockholm University, Stockholm, 17165, Sweden; Stockholm Gerontology Research Center, Stockholm, 11346, Sweden.
| | - Sophia Rodopoulou
- Dept. of Hygiene, Epidemiology and Medical Statistics, National and Kapodistrian University of Athens, Medical School 75, Mikras Asias Street, Athens, 115 27, Greece.
| | - Evangelia Samoli
- Dept. of Hygiene, Epidemiology and Medical Statistics, National and Kapodistrian University of Athens, Medical School 75, Mikras Asias Street, Athens, 115 27, Greece.
| | - Per Everhard Schwarze
- Infection Control and Environmental Health, Norwegian Institute of Public Health, Oslo, Norway.
| | - Gianluca Severi
- CESP, UMR 1018, Université Paris-Saclay, Inserm, Gustave Roussy, Villejuif, France; Department of Statistics, Computer Science and Applications "G. Parenti" (DISIA), University of Florence, Italy.
| | - Torben Sigsgaard
- Department of Public Health, Environment Occupation and Health, Danish Ramazzini Centre, Aarhus University, Bartholins Allé 2, 8000, Aarhus, Denmark.
| | - Massimo Stafoggia
- Institute of Environmental Medicine, Karolinska Institutet, Box 210, Stockholm, SE-171 77, Sweden; Department of Epidemiology, Lazio Region Health Service / ASL Roma 1, Via Cristoforo Colombo 112, Rome, 00147, Italy.
| | - Maciej Strak
- Institute of Risk Assessment Sciences, University of Utrecht, P.O. Box 80177, Utrecht, NL 3508 TD, the Netherlands; National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands.
| | - Danielle Vienneau
- University of Basel, Petersplatz 1, Postfach, Basel, 4001, Switzerland; National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands.
| | - Gudrun Weinmayr
- Institute of Epidemiology and Medical Biometry, Ulm University, Helmholtzstr. 22, 89081, Ulm, Germany.
| | - Kathrin Wolf
- Institute of Epidemiology, Helmholtz Zentrum München, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany.
| | - Ole Raaschou-Nielsen
- Danish Cancer Society Research Center, Strandboulevarden 49, Copenhagen, 2100, Denmark; Department of Environmental Science, Aarhus University, Frederiksborgvej 399, P.O.Box 358, Roskilde, 4000, Denmark.
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Hvidtfeldt UA, Severi G, Andersen ZJ, Atkinson R, Bauwelinck M, Bellander T, Boutron-Ruault MC, Brandt J, Brunekreef B, Cesaroni G, Chen J, Concin H, Forastiere F, van Gils CH, Gulliver J, Hertel O, Hoek G, Hoffmann B, de Hoogh K, Janssen N, Jöckel KH, Jørgensen JT, Katsouyanni K, Ketzel M, Klompmaker JO, Krog NH, Lang A, Leander K, Liu S, Ljungman PLS, Magnusson PKE, Mehta AJ, Nagel G, Oftedal B, Pershagen G, Peter RS, Peters A, Renzi M, Rizzuto D, Rodopoulou S, Samoli E, Schwarze PE, Sigsgaard T, Simonsen MK, Stafoggia M, Strak M, Vienneau D, Weinmayr G, Wolf K, Raaschou-Nielsen O, Fecht D. Long-term low-level ambient air pollution exposure and risk of lung cancer - A pooled analysis of 7 European cohorts. Environ Int 2021; 146:106249. [PMID: 33197787 DOI: 10.1016/j.envint.2020.106249] [Citation(s) in RCA: 57] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Revised: 09/15/2020] [Accepted: 10/26/2020] [Indexed: 05/26/2023]
Abstract
BACKGROUND/AIM Ambient air pollution has been associated with lung cancer, but the shape of the exposure-response function - especially at low exposure levels - is not well described. The aim of this study was to address the relationship between long-term low-level air pollution exposure and lung cancer incidence. METHODS The "Effects of Low-level Air Pollution: a Study in Europe" (ELAPSE) collaboration pools seven cohorts from across Europe. We developed hybrid models combining air pollution monitoring, land use data, satellite observations, and dispersion model estimates for nitrogen dioxide (NO2), fine particulate matter (PM2.5), black carbon (BC), and ozone (O3) to assign exposure to cohort participants' residential addresses in 100 m by 100 m grids. We applied stratified Cox proportional hazards models, adjusting for potential confounders (age, sex, calendar year, marital status, smoking, body mass index, employment status, and neighborhood-level socio-economic status). We fitted linear models, linear models in subsets, Shape-Constrained Health Impact Functions (SCHIF), and natural cubic spline models to assess the shape of the association between air pollution and lung cancer at concentrations below existing standards and guidelines. RESULTS The analyses included 307,550 cohort participants. During a mean follow-up of 18.1 years, 3956 incident lung cancer cases occurred. Median (Q1, Q3) annual (2010) exposure levels of NO2, PM2.5, BC and O3 (warm season) were 24.2 µg/m3 (19.5, 29.7), 15.4 µg/m3 (12.8, 17.3), 1.6 10-5m-1 (1.3, 1.8), and 86.6 µg/m3 (78.5, 92.9), respectively. We observed a higher risk for lung cancer with higher exposure to PM2.5 (HR: 1.13, 95% CI: 1.05, 1.23 per 5 µg/m3). This association was robust to adjustment for other pollutants. The SCHIF, spline and subset analyses suggested a linear or supra-linear association with no evidence of a threshold. In subset analyses, risk estimates were clearly elevated for the subset of subjects with exposure below the EU limit value of 25 µg/m3. We did not observe associations between NO2, BC or O3 and lung cancer incidence. CONCLUSIONS Long-term ambient PM2.5 exposure is associated with lung cancer incidence even at concentrations below current EU limit values and possibly WHO Air Quality Guidelines.
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Affiliation(s)
| | - Gianluca Severi
- CESP, UMR 1018, Université Paris-Saclay, Inserm, Gustave Roussy, Villejuif, France; Department of Statistics, Computer Science and Applications "G. Parenti" (DISIA), University of Florence, Italy.
| | - Zorana Jovanovic Andersen
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Øster Farimagsgade 5, 1014 Copenhagen, Denmark.
| | - Richard Atkinson
- Population Health Research Institute and MRC-PHE Centre for Environment and Health, St George's, University of London, London, UK.
| | - Mariska Bauwelinck
- Interface Demography - Department of Sociology, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium.
| | - Tom Bellander
- Institute of Environmental Medicine, Karolinska Institutet, Box 210, SE-171 77 Stockholm, Sweden; Center for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden.
| | | | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, P.O.Box 358, 4000 Roskilde, Denmark; iClimate - Aarhus University Interdisciplinary Centre for Climate Change, Frederiksborgvej 399, P.O.Box 358, 4000 Roskilde, Denmark.
| | - Bert Brunekreef
- Institute of Risk Assessment Sciences (IRAS), University of Utrecht, P.O. Box 80177, NL 3508 TD Utrecht, the Netherlands
| | - Giulia Cesaroni
- Department of Epidemiology, Lazio Region Health Service/ASL Roma 1, 00147 Rome, Italy.
| | - Jie Chen
- Institute of Risk Assessment Sciences (IRAS), University of Utrecht, P.O. Box 80177, NL 3508 TD Utrecht, the Netherlands.
| | - Hans Concin
- Agency for Preventive and Social Medicine, Rheinstraße 61, 6900 Bregenz, Austria.
| | - Francesco Forastiere
- Institute for Biomedical Research and Innovation (IRIB), National Research Council, 90146 Palermo, Italy; Environmental Research Group, King's College, London SE1 9NH, UK
| | - Carla H van Gils
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, P.O. Box 85500, 3508 GA Utrecht, the Netherlands.
| | - John Gulliver
- Centre for Environmental Health and Sustainability & School of Geography, Geology and the Environment, University of Leicester, Leicester, LE1 7RH, UK.
| | - Ole Hertel
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, P.O.Box 358, 4000 Roskilde, Denmark.
| | - Gerard Hoek
- Institute of Risk Assessment Sciences (IRAS), University of Utrecht, P.O. Box 80177, NL 3508 TD Utrecht, the Netherlands.
| | - Barbara Hoffmann
- Institute of Occupational, Social and Environmental Medicine, Medical Faculty, Heinrich Heine University, Gurlittstraße 55, 40223 Dusseldorf, Germany.
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Socinstrasse 57, 4051 Basel, Switzerland; University of Basel, Petersplatz 1, Postfach, 4001 Basel, Switzerland.
| | - Nicole Janssen
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands.
| | - Karl-Heinz Jöckel
- Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University of Duisburg-Essen, Essen, Germany.
| | - Jeanette Therming Jørgensen
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Øster Farimagsgade 5, 1014 Copenhagen, Denmark.
| | - Klea Katsouyanni
- Dept. of Hygiene, Epidemiology and Medical Statistics, National and Kapodstrian University of Athens, Medical School 75, Mikras Asias Street 115 27 Athens, Greece; NIHR HPRU Health Impact of Environmental Hazards, Environmental Research Group, School of Public Health, Imperial College, London, UK.
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, P.O.Box 358, 4000 Roskilde, Denmark; Global Centre for Clean Air Research (GCARE), University of Surrey, Guildford, United Kingdom.
| | - Jochem O Klompmaker
- Institute of Risk Assessment Sciences (IRAS), University of Utrecht, P.O. Box 80177, NL 3508 TD Utrecht, the Netherlands; National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands.
| | - Norun Hjertager Krog
- Section of Air Pollution and Noise, Norwegian Institute of Public Health, P.O. Box 222, Skøyen, N-0213 Oslo, Norway.
| | - Alois Lang
- Cancer Registry Vorarlberg, Agency for Preventive and Social Medicine, Rheinstraße 61, Bregenz 6900, Austria.
| | - Karin Leander
- Institute of Environmental Medicine, Karolinska Institutet, Box 210, SE-171 77 Stockholm, Sweden.
| | - Shuo Liu
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Øster Farimagsgade 5, 1014 Copenhagen, Denmark.
| | - Petter L S Ljungman
- Institute of Environmental Medicine, Karolinska Institutet, Box 210, SE-171 77 Stockholm, Sweden; Department of Cardiology, Danderyd University Hospital, Stockholm, Sweden.
| | - Patrik K E Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, SE-171 77 Stockholm, Sweden.
| | - Amar Jayant Mehta
- Statistics Denmark, Sejrøgade 11, 2100 Copenhagen, Denmark; Section of Epidemiology, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Øster Farimagsgade 5, 1014 Copenhagen, Denmark.
| | - Gabriele Nagel
- Agency for Preventive and Social Medicine, Rheinstraße 61, 6900 Bregenz, Austria; Institute of Epidemiology and Medical Biometry, Ulm University, Helmholtzstr. 22, 89081 Ulm, Germany.
| | - Bente Oftedal
- Section of Air Pollution and Noise, Norwegian Institute of Public Health, P.O. Box 222, Skøyen, N-0213 Oslo, Norway.
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institutet, Box 210, SE-171 77 Stockholm, Sweden; Center for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden.
| | - Raphael Simon Peter
- Institute of Epidemiology and Medical Biometry, Ulm University, Helmholtzstr. 22, 89081 Ulm, Germany.
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany; Chair of Epidemiology, Ludwig Maximilians Universität München, Munich, Germany.
| | - Matteo Renzi
- Department of Epidemiology, Lazio Region Health Service/ASL Roma 1, 00147 Rome, Italy.
| | - Debora Rizzuto
- Aging Research Center, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet and Stockholm University, Stockholm 17165, Sweden; Stockholm Gerontology Research Center, Stockholm 11346, Sweden.
| | - Sophia Rodopoulou
- Dept. of Hygiene, Epidemiology and Medical Statistics, National and Kapodstrian University of Athens, Medical School 75, Mikras Asias Street 115 27 Athens, Greece.
| | - Evangelia Samoli
- Dept. of Hygiene, Epidemiology and Medical Statistics, National and Kapodstrian University of Athens, Medical School 75, Mikras Asias Street 115 27 Athens, Greece.
| | - Per Everhard Schwarze
- Infection Control and Environmental Health, Norwegian Institute of Public Health, Oslo, Norway.
| | - Torben Sigsgaard
- Department of Public Health, Environment Occupation and Health, Danish Ramazzini Centre, Aarhus University, Bartholins Allé 2, 8000 Aarhus, Denmark.
| | | | - Massimo Stafoggia
- Institute of Environmental Medicine, Karolinska Institutet, Box 210, SE-171 77 Stockholm, Sweden; Department of Epidemiology, Lazio Region Health Service/ASL Roma 1, 00147 Rome, Italy.
| | - Maciek Strak
- Institute of Risk Assessment Sciences (IRAS), University of Utrecht, P.O. Box 80177, NL 3508 TD Utrecht, the Netherlands; National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands.
| | - Danielle Vienneau
- Swiss Tropical and Public Health Institute, Socinstrasse 57, 4051 Basel, Switzerland; University of Basel, Petersplatz 1, Postfach, 4001 Basel, Switzerland.
| | - Gudrun Weinmayr
- Institute of Epidemiology and Medical Biometry, Ulm University, Helmholtzstr. 22, 89081 Ulm, Germany.
| | - Kathrin Wolf
- Institute of Epidemiology, Helmholtz Zentrum München, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany.
| | - 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, 4000 Roskilde, Denmark.
| | - Daniela Fecht
- UK Small Area Health Statistics Unit, MRC Centre for Environment and Health, School of Public Health, Imperial College London, W2 1PG London, UK.
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14
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Prabhakaran P, Jaganathan S, Walia GK, Wellenius GA, Mandal S, Kumar K, Kloog I, Lane K, Nori-Sarma A, Rosenqvist M, Dahlquist M, Reddy KS, Schwartz J, Prabhakaran D, Ljungman PLS. Building capacity for air pollution epidemiology in India. Environ Epidemiol 2020; 4:e117. [PMID: 33134770 PMCID: PMC7553192 DOI: 10.1097/ee9.0000000000000117] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Accepted: 08/28/2020] [Indexed: 11/26/2022] Open
Abstract
Air pollution represents a major public health threat in India affecting 19% of the world's population at extreme levels. Despite this, research in India lags behind in large part due to a lack of comprehensive air pollution exposure assessment that can be used in conjunction with health data to investigate health effects. Our vision is to provide a consortium to rapidly expand the evidence base of the multiple effects of ambient air pollution. We intend to leapfrog current limitations of exposure assessment by developing a machine-learned satellite-informed spatiotemporal model to estimate daily levels of ambient fine particulate matter measuring less than 2.5 µm (PM2.5) at a fine spatial scale across all of India. To catalyze health effects research on an unprecedented scale, we will make the output from this model publicly available. In addition, we will also apply these PM2.5 estimates to study the health outcomes of greatest public health importance in India, including cardiovascular diseases, chronic obstructive pulmonary disease, pregnancy (and birth) outcomes, and cognitive development and/or decline. Thus, our efforts will directly generate actionable new evidence on the myriad effects of air pollution on health that can inform policy decisions, while providing a comprehensive and publicly available resource for future studies on both exposure and health effects. In this commentary, we discuss the motivation, rationale, and vision for our consortium and a path forward for reducing the enormous burden of disease from air pollution in India.
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Affiliation(s)
| | | | | | - Gregory A Wellenius
- Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts
| | | | - Kishore Kumar
- Centre for Chronic Disease Control, New Delhi, India
| | - Itai Kloog
- Ben-Gurion University of the Negev, Beersheba, Israel
| | - Kevin Lane
- Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts
| | - Amruta Nori-Sarma
- Center for Environmental Health and Technology, Brown University School of Public Health, Providence, Rhode Island
| | - Marten Rosenqvist
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Marcus Dahlquist
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | | | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Dorairaj Prabhakaran
- Public Health Foundation of India, Delhi-NCR, India
- Centre for Chronic Disease Control, New Delhi, India
- Department of Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Petter L S Ljungman
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Cardiology, Danderyd University Hospital, Stockholm, Sweden
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15
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Dahlquist M, Frykman V, Kemp-Gudmunsdottir K, Svennberg E, Wellenius GA, L S Ljungman P. Short-term associations between ambient air pollution and acute atrial fibrillation episodes. Environ Int 2020; 141:105765. [PMID: 32388273 DOI: 10.1016/j.envint.2020.105765] [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] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Revised: 04/22/2020] [Accepted: 04/23/2020] [Indexed: 05/06/2023]
Abstract
INTRODUCTION Atrial fibrillation (AF), prevalent in approximately 1-3% of the population, is associated with a higher risk of stroke, dementia, mortality, and a reduced quality of life. Air pollution may be associated with heart rhythm disturbances, but there is limited evidence regarding whether short-term changes in air pollution levels are associated with acute onset of AF episodes. METHODS We screened 8,899 randomly selected 75-yearolds living in Stockholm without previously known AF for AF using home-based short-term ambulatory 1-lead ECG-measurements 2-4 times a day for 14 days. Screenings were carried out in 2012-2013 and 2016-2018. We used generalized estimating equations to quantify the association between PM2.5, PM10, NO2 and O3 obtained from a fixed monitoring station and risk of AF onset among participants with AF observed during the screening period, adjusting for temperature, relative humidity and temporal factors. We explored potential susceptible subgroups. RESULTS Among 218 participants with 469 AF episodes we observed higher odds of AF following higher 24-hour mean levels of PM10 and O3, reaching statistical significance for PM10 levels averaged over the previous 12-24-hours [OR 1.10 (95%CI 1.01-1.19) per IQR of PM10 (7.8 µg/m3)]. In subgroup analyses, PM2.5 was more strongly associated with AF among participants with hypertension and PM10 and O3 were more strongly associated with AF among participants with diabetes and overweight. CONCLUSION These results suggest that in an urban setting with relatively low levels of ambient air pollution, hourly changes in pollutant levels may increase the risk of acute episodes of both asymptomatic and symptomatic AF, especially among people with diabetes, hypertension or overweight.
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Affiliation(s)
- Marcus Dahlquist
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Department of Cardiology, Danderyd University Hospital, Karolinska Institutet, Stockholm, Sweden.
| | - Viveka Frykman
- Department of Cardiology, Danderyd University Hospital, Karolinska Institutet, Stockholm, Sweden; Department of Clinical Sciences, Danderyd University Hospital, Karolinska Institutet, Stockholm, Sweden
| | - Katrin Kemp-Gudmunsdottir
- Department of Cardiology, Danderyd University Hospital, Karolinska Institutet, Stockholm, Sweden; Department of Clinical Sciences, Danderyd University Hospital, Karolinska Institutet, Stockholm, Sweden
| | - Emma Svennberg
- Department of Cardiology, Danderyd University Hospital, Karolinska Institutet, Stockholm, Sweden; Department of Clinical Sciences, Danderyd University Hospital, Karolinska Institutet, Stockholm, Sweden
| | - Gregory A Wellenius
- Boston University School of Public Health, Boston University, Boston, United States
| | - Petter L S Ljungman
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Department of Cardiology, Danderyd University Hospital, Karolinska Institutet, Stockholm, Sweden
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16
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Af Ugglas B, Djärv T, Ljungman PLS, Holzmann MJ. Association Between Hospital Bed Occupancy and Outcomes in Emergency Care: A Cohort Study in Stockholm Region, Sweden, 2012 to 2016. Ann Emerg Med 2020; 76:179-190. [PMID: 31983500 DOI: 10.1016/j.annemergmed.2019.11.009] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2019] [Revised: 11/05/2019] [Accepted: 11/12/2019] [Indexed: 11/15/2022]
Abstract
STUDY OBJECTIVE We evaluate the importance of hospital bed occupancy for 30-day mortality, inhospital mortality, readmission for inpatient care within 30 days, and revisits to the emergency department (ED) within 7 days among all adult patients visiting the ED. METHODS This was an observational cohort study including all adult patients visiting 6 EDs in Stockholm Region, Sweden. ED visits from 2012 to 2016 were categorized into groups by hospital bed occupancy in 5% intervals between 85% and 105%. A proportional hazards model was used to estimate adjusted hazard ratios with 95% confidence intervals (CIs). The model was stratified by hospital and adjusted for age, sex, comorbidities, hospital stays in the year preceding the index visit, marital status, length of education, and weekday/weekend timing of visit. RESULTS A total of 816,832 patients with 2,084,554 visits were included. Mean hospital bed occupancy was 93.3% (SD 3.3%). In total, 28,112 patients died within 30 days, and 17,966 patients died inhospital. Hospital bed occupancy was not associated with 30-day mortality (hazard ratio for highest category of occupancy ≥105% was 1.10; 95% CI 0.96 to 1.27) or inhospital mortality. Patients discharged from the ED at occupancy levels greater than 89% had a 2% to 4% higher risk of revisits to the ED within 7 days. A 10% increase in hospital bed occupancy was associated with a 16-minute increase (95% CI 16 to 17 minutes) in ED length of stay and 1.9-percentage-point decrease (95% CI 1.7 to 2.0 percentage points) in admission rate. CONCLUSION We did not find an association between increasing hospital bed occupancy and mortality in our sample of 6 EDs in Stockholm Region, Sweden, despite increased length of stay in the ED and a decline in admissions for inpatient care.
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Affiliation(s)
- Björn Af Ugglas
- Function of Emergency Medicine, Karolinska University Hospital, and the Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden
| | - Therese Djärv
- Function of Emergency Medicine, Karolinska University Hospital, and the Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden
| | - Petter L S Ljungman
- Department of Cardiology, Danderyd Hospital, and the Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Martin J Holzmann
- Function of Emergency Medicine, Karolinska University Hospital, and the Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden.
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17
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Ljungman PLS, Andersson N, Stockfelt L, Andersson EM, Nilsson Sommar J, Eneroth K, Gidhagen L, Johansson C, Lager A, Leander K, Molnar P, Pedersen NL, Rizzuto D, Rosengren A, Segersson D, Wennberg P, Barregard L, Forsberg B, Sallsten G, Bellander T, Pershagen G. Long-Term Exposure to Particulate Air Pollution, Black Carbon, and Their Source Components in Relation to Ischemic Heart Disease and Stroke. Environ Health Perspect 2019; 127:107012. [PMID: 31663781 PMCID: PMC6867232 DOI: 10.1289/ehp4757] [Citation(s) in RCA: 77] [Impact Index Per Article: 15.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/19/2018] [Revised: 09/24/2019] [Accepted: 10/01/2019] [Indexed: 05/19/2023]
Abstract
BACKGROUND Long-term exposure to particulate matter (PM) in ambient air has been associated with cardiovascular mortality, but few studies have considered incident disease in relation to PM from different sources. OBJECTIVES We aimed to study associations between long-term exposure to different types of PM and sources, and incident ischemic heart disease (IHD) and stroke in three Swedish cities. METHODS Based on detailed emission databases, monitoring data, and high-resolution dispersion models, we calculated source contributions to PM with aerodynamic diameter ≤10μm (PM10), PM with aerodynamic diameter ≤2.5μm (PM2.5), and black carbon (BC) from road wear, traffic exhaust, residential heating, and other sources in Gothenburg, Stockholm, and Umeå. Registry data for participants from four cohorts were used to obtain incidence of IHD and stroke for first hospitalization or death. We constructed time windows of exposure for same-year, 1- to 5-y, and 6- to 10-y averages preceding incidence from annual averages at residential addresses. Risk estimates were based on random effects meta-analyses of cohort-specific Cox proportional hazard models. RESULTS We observed 5,166 and 3,119 incident IHD and stroke cases, respectively, in 114,758 participants. Overall, few consistent associations were observed between the different air pollution measures and IHD or stroke incidence. However, same-year levels of ambient locally emitted BC (range: 0.01-4.6 μg/m3) were associated with a 4.0% higher risk of incident stroke per interquartile range (IQR), 0.30 μg/m3 [95% confidence interval (CI): 0.04, 7.8]. This association was primarily related to BC from traffic exhaust. PM10 (range: 4.4-52 μg/m3) and PM2.5 (range: 2.9-22 μg/m3) were not associated with stroke. Associations with incident IHD were observed only for PM2.5 exposure from residential heating. DISCUSSION Few consistent associations were observed between different particulate components and IHD or stroke. However, long-term residential exposure to locally emitted BC from traffic exhaust was associated with stroke incidence. The comparatively low exposure levels may have contributed to the paucity of associations. https://doi.org/10.1289/EHP4757.
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Affiliation(s)
- Petter L. S. Ljungman
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Cardiology, Danderyd Hospital, Stockholm, Sweden
| | - Niklas Andersson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Leo Stockfelt
- Department of Occupational and Environmental Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Eva M. Andersson
- Department of Occupational and Environmental Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Johan Nilsson Sommar
- Unit of Occupational and Environmental Medicine, Epidemiology and Global Health, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Kristina Eneroth
- SLB-analys, Environment and Health Administration, Stockholm, Sweden
| | - Lars Gidhagen
- Swedish Meteorological and Hydrological Institute, Norrköping, Sweden
| | - Christer Johansson
- SLB-analys, Environment and Health Administration, Stockholm, Sweden
- Department of Environmental Science and Analytical Chemistry, Stockholm University, Stockholm, Sweden
| | - Anton Lager
- Centre for Epidemiology and Community Medicine, Stockholm County Council, Stockholm, Sweden
- Department of Public Health Science, Karolinska Institutet, Stockholm, Sweden
| | - Karin Leander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Peter Molnar
- Department of Occupational and Environmental Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Nancy L. Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Debora Rizzuto
- Ageing Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Annika Rosengren
- Department of Molecular and Clinical Medicine, Institute of Medicine, University of Gothenburg, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - David Segersson
- Swedish Meteorological and Hydrological Institute, Norrköping, Sweden
| | - Patrik Wennberg
- Public Health and Clinical Medicine, Family Medicine, Umeå University, Umeå, Sweden
| | - Lars Barregard
- Department of Occupational and Environmental Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Bertil Forsberg
- Unit of Occupational and Environmental Medicine, Epidemiology and Global Health, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Gerd Sallsten
- Department of Occupational and Environmental Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Tom Bellander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Centre for Occupational and Environmental Medicine, Stockholm County Council, Stockholm, Sweden
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Centre for Occupational and Environmental Medicine, Stockholm County Council, Stockholm, Sweden
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18
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Raza A, Dahlquist M, Jonsson M, Hollenberg J, Svensson L, Lind T, Ljungman PLS. Ozone and cardiac arrest: The role of previous hospitalizations. Environ Pollut 2019; 245:1-8. [PMID: 30399483 DOI: 10.1016/j.envpol.2018.10.042] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [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: 05/22/2018] [Revised: 10/06/2018] [Accepted: 10/08/2018] [Indexed: 06/08/2023]
Abstract
BACKGROUND Several studies have reported associations between exposure to particulate matter and incidence of out-of-hospital cardiac arrest (OHCA) and some have observed associations with ozone (O3). There are no studies investigating susceptibility based on previous disease history to short-term O3 exposure and the risk of OHCA. AIM To investigate the role of previous cardiovascular-related hospitalizations in modifying the associations between the risk of OHCA and short-term increase in O3 concentrations. METHODS A time-stratified case-crossover analysis of 11,923 OHCA registered in the Swedish Register for Cardiopulmonary Resuscitation from 2006 to 2014 was performed. Using personal identification numbers, OHCA were linked to all previous hospitalizations in Sweden since 1987 to create susceptible groups based on the principal diagnosis code at discharge. Susceptibility was based on hospitalization for i) acute myocardial infarction; ii) heart failure; iii) arrhythmias; iv) diabetes; v) hypertension; and vi) stroke. Moving 2 and 24-h averages for O3, PM2.5, PM10, and NO2 were constructed from hourly averages. RESULTS A 10 μg/m3 higher 2-h average O3 concentration was associated with a 2% higher risk of OHCA (95% CI, 0% 3%). Associations were similar for 24-h average O3 and in individuals with or without hospitalizations for AMI, heart failure, diabetes, hypertension or stroke. Individuals with previous hospitalizations for arrhythmias had a lower risk of OHCA with higher O3. No associations were observed for other pollutants. CONCLUSIONS Short-term exposure to O3 was associated with an elevated risk of OHCA, however, previous hospitalizations for cardiovascular diseases were not associated with additionally augmented risks.
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Affiliation(s)
- Auriba Raza
- Institute of Environmental Medicine, Karolinska Institutet, Nobels väg 13, SE-171 77, Stockholm, Sweden.
| | - Marcus Dahlquist
- Institute of Environmental Medicine, Karolinska Institutet, Nobels väg 13, SE-171 77, Stockholm, Sweden
| | - Martin Jonsson
- Center for Resuscitation Science, Department of Medicine Solna, Karolinska Institutet, Sweden, Stockholm, Sweden
| | - Jacob Hollenberg
- Center for Resuscitation Science, Department of Medicine Solna, Karolinska Institutet, Sweden, Stockholm, Sweden
| | - Leif Svensson
- Center for Resuscitation Science, Department of Medicine Solna, Karolinska Institutet, Sweden, Stockholm, Sweden
| | - Tomas Lind
- Department of Occupational and Environmental Medicine, Stockholm County Council, Torsplan, Solnavägen 4, 113 65, Stockholm, Sweden
| | - Petter L S Ljungman
- Institute of Environmental Medicine, Karolinska Institutet, Nobels väg 13, SE-171 77, Stockholm, Sweden; Department of Cardiology, Danderyds Sjukhus, Mörbygårdsvägen 88, 182 88, Danderyd, Sweden
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Ljungman PLS, Li W, Rice MB, Wilker EH, Schwartz J, Gold DR, Koutrakis P, Benjamin EJ, Vasan RS, Mitchell GF, Hamburg NM, Mittleman MA. Long- and short-term air pollution exposure and measures of arterial stiffness in the Framingham Heart Study. Environ Int 2018; 121:139-147. [PMID: 30205320 PMCID: PMC6221919 DOI: 10.1016/j.envint.2018.08.060] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/04/2018] [Revised: 08/24/2018] [Accepted: 08/27/2018] [Indexed: 05/04/2023]
Abstract
BACKGROUND Studies of air pollution exposure and arterial stiffness have reported inconsistent results and large studies employing the reference standard of arterial stiffness, carotid-femoral pulse-wave velocity (CFPWV), have not been conducted. AIM To study long-term exposure to ambient fine particles (PM2.5), proximity to roadway, and short-term air pollution exposures in relation to multiple measures of arterial stiffness in the Framingham Heart Study. METHODS We assessed central arterial stiffness using CFPWV, forward pressure wave amplitude, mean arterial pressure and augmentation index. We investigated long-and short-term air pollution exposure associations with arterial stiffness with linear regressions using long-term residential PM2.5 (2003 average from a spatiotemporal model using satellite data) and proximity to roadway in addition to short-term averages of PM2.5, black carbon, particle number, sulfate, nitrogen oxides, and ozone from stationary monitors. RESULTS We examined 5842 participants (mean age 51 ± 16, 54% women). Living closer to a major roadway was associated with higher arterial stiffness (0.11 m/s higher CFPWV [95% CI: 0.01, 0.22] living <50 m vs 400 ≤ 1000 m). We did not observe association between arterial stiffness measures and long-term PM2.5 or short-term levels of PM2.5, particle number, sulfate or ozone. Higher levels of black carbon and nitrogen oxides in the previous days were unexpectedly associated with lower arterial stiffness. CONCLUSIONS Long-term exposure to PM2.5 was not associated with arterial stiffness but positive associations with living close to a major road may suggest that pollutant mixtures very nearby major roads, rather than PM2.5, may affect arterial stiffness. Furthermore, short-term air pollution exposures were not associated with higher arterial stiffness.
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Affiliation(s)
- Petter L S Ljungman
- Environmental Epidemiology Unit, Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden; Cardiovascular Epidemiology Research Unit, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA; Department of Cardiology, Danderyds Hospital, Stockholm, Sweden.
| | - Wenyuan Li
- Cardiovascular Epidemiology Research Unit, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Mary B Rice
- Cardiovascular Epidemiology Research Unit, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA; Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Elissa H Wilker
- Cardiovascular Epidemiology Research Unit, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Joel Schwartz
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Diane R Gold
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Petros Koutrakis
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Emelia J Benjamin
- National Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, MA, USA; Preventive Medicine and Cardiology Sections, Department of Medicine, Boston University School of Medicine, MA, USA; Department of Epidemiology, Boston University School of Public Health, MA, USA
| | - Ramachandran S Vasan
- National Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, MA, USA; Preventive Medicine and Cardiology Sections, Department of Medicine, Boston University School of Medicine, MA, USA; Department of Epidemiology, Boston University School of Public Health, MA, USA
| | | | - Naomi M Hamburg
- National Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, MA, USA; Preventive Medicine and Cardiology Sections, Department of Medicine, Boston University School of Medicine, MA, USA; Department of Epidemiology, Boston University School of Public Health, MA, USA
| | - Murray A Mittleman
- Cardiovascular Epidemiology Research Unit, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
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Raza A, Dahlquist M, Lind T, Ljungman PLS. Susceptibility to short-term ozone exposure and cardiovascular and respiratory mortality by previous hospitalizations. Environ Health 2018; 17:37. [PMID: 29653570 PMCID: PMC5899411 DOI: 10.1186/s12940-018-0384-z] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [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: 11/08/2017] [Accepted: 04/05/2018] [Indexed: 05/26/2023]
Abstract
BACKGROUND Ozone (O3) has been associated with cardiorespiratory mortality although few studies have explored susceptible populations based on prior disease. We aimed to investigate the role of previous hospitalization on the association between short-term exposure to O3 and cardiovascular (CV) and respiratory mortality. METHODS We performed time series analyses using generalized additive models and case-crossover on 136,624 CV and 23,281 respiratory deaths in Stockholm County (1990-2010). Deaths were linked to hospital admissions data. We constructed 2-day and 7-day averages using daily 8-h maximum for O3 and hourly values for PM2.5, PM10, NO2, and NOx from a fixed monitor. RESULTS We observed a 0.7% (95% CI: 0.1%, 1.3%) and 2.7% (95% CI: 0.8%, 4.6%) higher risk of CV and respiratory death per 10 μg/m3 higher 2-day and 7-day average O3 respectively. Individuals previously hospitalized for myocardial infarction demonstrated 1.8% (95% CI: 0.4%, 3.4%) higher risk of CV death per 10 μg/m3 higher 2-day average O3 and similar associations were observed in individuals with no previous hospitalization for any cause. Individuals with previous hospitalizations did not show susceptibility towards O3-related risk of respiratory mortality. We observed no associations for other pollutants. CONCLUSION Short-term ozone exposure is associated with CV and respiratory mortality and our results may suggest higher susceptibility to CV mortality following O3 exposure in individuals previously hospitalized for myocardial infarction. Higher risks were also observed in individuals with cardiovascular death as their first presentation of disease.
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Affiliation(s)
- Auriba Raza
- Institute of Environmental Medicine, Karolinska Institutet, Nobels väg 13 | Box 210 |, SE-171 77 Stockholm, Sweden
| | - Marcus Dahlquist
- Institute of Environmental Medicine, Karolinska Institutet, Nobels väg 13 | Box 210 |, SE-171 77 Stockholm, Sweden
| | - Tomas Lind
- Center for Occupational and Environmental Medicine, Stockholm County Council, Solnavägen 4, 113 65 Stockholm, Sweden
| | - Petter L. S. Ljungman
- Institute of Environmental Medicine, Karolinska Institutet, Nobels väg 13 | Box 210 |, SE-171 77 Stockholm, Sweden
- Department of Cardiology, Danderyd Hospital, Stockholm, Sweden
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Ljungman PLS, Berglind N, Holmgren C, Gadler F, Edvardsson N, Pershagen G, Rosenqvist M, Sjögren B, Bellander T. Rapid effects of air pollution on ventricular arrhythmias. Eur Heart J 2008; 29:2894-901. [PMID: 19004842 DOI: 10.1093/eurheartj/ehn463] [Citation(s) in RCA: 65] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
AIMS Air pollution has been associated with ventricular arrhythmias in patients with implantable cardioverter defibrillators (ICDs) for exposure periods of 24-48 h. Only two studies have investigated exposure periods <24 h. We aimed to explore such effects during the 2 and 24 preceding hours as well as in relation to distance from the place of the event to the air pollution monitor. METHODS AND RESULTS We used a case-crossover design to investigate the effects of particulate matter <10 microm in diameter (PM10) and nitrogen dioxide (NO2) in 211 patients with ICD devices in Gothenburg and Stockholm, Sweden. Events interpreted as ventricular arrhythmias were downloaded from the ICDs, and air pollution data were collected from urban background monitors. We found an association between 2 h moving averages of PM10 and ventricular arrhythmia [odds ratio (OR) 1.31, 95% confidence interval (CI) 1.00-1.72], whereas the OR for 24 h moving averages was 1.24 (95% CI 0.87-1.76). Corresponding ORs for events occurring closest to the air pollution monitor were 1.76 (95% CI 1.18-2.61) and 1.74 (95% CI 1.07-2.84), respectively. Events occurring in Gothenburg showed stronger associations than in Stockholm. CONCLUSION Moderate increases in air pollution appear to be associated with ventricular arrhythmias in ICD patients already after 2 h, although future studies including larger numbers of events are required to confirm these findings. Representative geographical exposure classification seems important in studies of these effects.
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Affiliation(s)
- Petter L S Ljungman
- Department of Cardiology, Karolinska Institutet, Stockholm South General Hospital, Stockholm, Sweden
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