Author
Listed:
- Hedi Katre Kriit
(Section of Sustainable Health, Department of Public Health and Clinical Medicine, Umeå University, 90187 Umeå, Sweden)
- 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)
- 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)
- Niklas Andersson
(Institute of Environmental Medicine, Karolinska Institutet, 17177 Stockholm, Sweden)
- Petter L. S. Ljungman
(Institute of Environmental Medicine, Karolinska Institutet, 17177 Stockholm, Sweden
Department of Cardiology, Danderyd Hospital, 18233 Stockholm, Sweden)
- Göran Pershagen
(Institute of Environmental Medicine, Karolinska Institutet, 17177 Stockholm, Sweden
Centre for Occupational and Environmental Medicine, Region Stockholm, 11365 Stockholm, Sweden)
- David Segersson
(Swedish Meteorological and Hydrological Institute, 60176 Norrköping, Sweden)
- Kristina Eneroth
(SLB-Analys, Environment and Health Administration, 10420 Stockholm, Sweden)
- Lars Gidhagen
(Swedish Meteorological and Hydrological Institute, 60176 Norrköping, Sweden)
- 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)
- 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)
- 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)
- Leo Stockfelt
(Occupational and Environmental Medicine, Department of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, 40530 Gothenburg, Sweden)
- Johan N. Sommar
(Section of Sustainable Health, Department of Public Health and Clinical Medicine, Umeå University, 90187 Umeå, Sweden)
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 (PM 2.5 ) 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 PM 2.5 total, BC, and IHD. However, for PM 2.5 from local sources, a 20% risk increase per 1 µg/m 3 for 1-year lag was estimated. A risk increase for stroke was suggested in relation to lags 2–4-year PM 2.5 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.
Suggested Citation
Hedi Katre Kriit & Eva M. Andersson & Hanne K. Carlsen & Niklas Andersson & Petter L. S. Ljungman & Göran Pershagen & David Segersson & Kristina Eneroth & Lars Gidhagen & Mårten Spanne & Peter Molnar , 2022.
"Using Distributed Lag Non-Linear Models to Estimate Exposure Lag-Response Associations between Long-Term Air Pollution Exposure and Incidence of Cardiovascular Disease,"
IJERPH, MDPI, vol. 19(5), pages 1-18, February.
Handle:
RePEc:gam:jijerp:v:19:y:2022:i:5:p:2630-:d:757725
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Cited by:
- Daphne Parliari & Christos Giannaros & Sofia Papadogiannaki & Dimitrios Melas, 2023.
"Short-Term Effects of Air Pollution on Mortality in the Urban Area of Thessaloniki, Greece,"
Sustainability, MDPI, vol. 15(6), pages 1-14, March.
- Lin Jia & Xiaoyi Zhou & Qingjie Wang, 2023.
"Effects of Agricultural Machinery Operations on PM 2.5 , PM 10 and TSP in Farmland under Different Tillage Patterns,"
Agriculture, MDPI, vol. 13(5), pages 1-14, April.
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