Environment International (Dec 2014)
Comparing land use regression and dispersion modelling to assess residential exposure to ambient air pollution for epidemiological studies
- Kees de Hoogh,
- Michal Korek,
- Danielle Vienneau,
- Menno Keuken,
- Jaakko Kukkonen,
- Mark J. Nieuwenhuijsen,
- Chiara Badaloni,
- Rob Beelen,
- Andrea Bolignano,
- Giulia Cesaroni,
- Marta Cirach Pradas,
- Josef Cyrys,
- John Douros,
- Marloes Eeftens,
- Francesco Forastiere,
- Bertil Forsberg,
- Kateryna Fuks,
- Ulrike Gehring,
- Alexandros Gryparis,
- John Gulliver,
- Anna L Hansell,
- Barbara Hoffmann,
- Christer Johansson,
- Sander Jonkers,
- Leena Kangas,
- Klea Katsouyanni,
- Nino Künzli,
- Timo Lanki,
- Michael Memmesheimer,
- Nicolas Moussiopoulos,
- Lars Modig,
- Göran Pershagen,
- Nicole Probst-Hensch,
- Christian Schindler,
- Tamara Schikowski,
- Dorothee Sugiri,
- Oriol Teixidó,
- Ming-Yi Tsai,
- Tarja Yli-Tuomi,
- Bert Brunekreef,
- Gerard Hoek,
- Tom Bellander
Affiliations
- Kees de Hoogh
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland; MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom; Corresponding author at: Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Socinstrasse 57, CH-4051, Basel, Switzerland. Tel.: +41 61 284 8749; fax: +41 61 284 8105.
- Michal Korek
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom
- Danielle Vienneau
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
- Menno Keuken
- Netherlands Organization for Applied Research, Utrecht, The Netherlands
- Jaakko Kukkonen
- Finnish Meteorological Institute, Helsinki, Finland
- Mark J. Nieuwenhuijsen
- Center for Research in Environmental Epidemiology (CREAL), Barcelona, Spain; IMIM (Hospital del Mar Research Institute), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
- Chiara Badaloni
- Epidemiology Department, Lazio Regional Health Service, Rome, Italy
- Rob Beelen
- Institute for Risk Assessment Sciences, Utrecht University, P.O. Box 80178, 3508 TD Utrecht, The Netherlands
- Andrea Bolignano
- Environmental Protection Agency, Lazio Region, Italy
- Giulia Cesaroni
- Epidemiology Department, Lazio Regional Health Service, Rome, Italy
- Marta Cirach Pradas
- Center for Research in Environmental Epidemiology (CREAL), Barcelona, Spain; IMIM (Hospital del Mar Research Institute), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
- Josef Cyrys
- Helmholtz Zentrum München, German Research Center for Environmental Health, Institutes of Epidemiology I and II, Neuherberg, Germany; University of Augsburg, Environmental Science Center, Augsburg, Germany
- John Douros
- Laboratory of Heat Transfer and Environmental Engineering, Aristotle University of Thessaloniki, Aristotle University, Thessaloniki, Greece
- Marloes Eeftens
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland; Institute for Risk Assessment Sciences, Utrecht University, P.O. Box 80178, 3508 TD Utrecht, The Netherlands
- Francesco Forastiere
- Epidemiology Department, Lazio Regional Health Service, Rome, Italy
- Bertil Forsberg
- Department of Public Health and Clinical Medicine, Occupational and Environmental Medicine, Umeå University, Sweden
- Kateryna Fuks
- IUF Leibniz Research Institute for Environmental Medicine, University of Düsseldorf, Düsseldorf, Germany
- Ulrike Gehring
- Institute for Risk Assessment Sciences, Utrecht University, P.O. Box 80178, 3508 TD Utrecht, The Netherlands
- Alexandros Gryparis
- Department of Hygiene, Epidemiology and Medical Statistics University of Athens, Medical School, Athens, Greece
- John Gulliver
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom
- Anna L Hansell
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom; Directorate of Public Health and Primary Care, Imperial College Healthcare NHS Trust, London, UK
- Barbara Hoffmann
- IUF Leibniz Research Institute for Environmental Medicine, University of Düsseldorf, Düsseldorf, Germany; Medical Faculty, Heinrich-Heine University of Düsseldorf, Düsseldorf, Germany
- Christer Johansson
- Department of Applied Environmental Science, Stockholm University, Stockholm, Sweden
- Sander Jonkers
- Netherlands Organization for Applied Research, Utrecht, The Netherlands
- Leena Kangas
- Finnish Meteorological Institute, Helsinki, Finland
- Klea Katsouyanni
- Department of Hygiene, Epidemiology and Medical Statistics University of Athens, Medical School, Athens, Greece; Department of Primary Care & Public Health Sciences and Environmental Research Group, King's College London, United Kingdom
- Nino Künzli
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
- Timo Lanki
- Department of Environmental Health, National Institute for Health and Welfare (THL), Kuopio, Finland
- Michael Memmesheimer
- Rhenish Institute for Environmental Research (RIU), Köln, Germany
- Nicolas Moussiopoulos
- Laboratory of Heat Transfer and Environmental Engineering, Aristotle University of Thessaloniki, Aristotle University, Thessaloniki, Greece
- Lars Modig
- Department of Public Health and Clinical Medicine, Occupational and Environmental Medicine, Umeå University, Sweden
- Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Nicole Probst-Hensch
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
- Christian Schindler
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
- Tamara Schikowski
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland; IUF Leibniz Research Institute for Environmental Medicine, University of Düsseldorf, Düsseldorf, Germany
- Dorothee Sugiri
- IUF Leibniz Research Institute for Environmental Medicine, University of Düsseldorf, Düsseldorf, Germany
- Oriol Teixidó
- Energy and Air quality Department, Barcelona Regional, Barcelona, Spain
- Ming-Yi Tsai
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland; Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, United States
- Tarja Yli-Tuomi
- Department of Environmental Health, National Institute for Health and Welfare (THL), Kuopio, Finland
- Bert Brunekreef
- Institute for Risk Assessment Sciences, Utrecht University, P.O. Box 80178, 3508 TD Utrecht, The Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
- Gerard Hoek
- Institute for Risk Assessment Sciences, Utrecht University, P.O. Box 80178, 3508 TD Utrecht, The Netherlands
- Tom Bellander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Stockholm County Council, Stockholm, Sweden
- Journal volume & issue
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Vol. 73
pp. 382 – 392
Abstract
Background: Land-use regression (LUR) and dispersion models (DM) are commonly used for estimating individual air pollution exposure in population studies. Few comparisons have however been made of the performance of these methods. Objectives: Within the European Study of Cohorts for Air Pollution Effects (ESCAPE) we explored the differences between LUR and DM estimates for NO2, PM10 and PM2.5. Methods: The ESCAPE study developed LUR models for outdoor air pollution levels based on a harmonised monitoring campaign. In thirteen ESCAPE study areas we further applied dispersion models. We compared LUR and DM estimates at the residential addresses of participants in 13 cohorts for NO2; 7 for PM10 and 4 for PM2.5. Additionally, we compared the DM estimates with measured concentrations at the 20–40 ESCAPE monitoring sites in each area. Results: The median Pearson R (range) correlation coefficients between LUR and DM estimates for the annual average concentrations of NO2, PM10 and PM2.5 were 0.75 (0.19–0.89), 0.39 (0.23–0.66) and 0.29 (0.22–0.81) for 112,971 (13 study areas), 69,591 (7) and 28,519 (4) addresses respectively. The median Pearson R correlation coefficients (range) between DM estimates and ESCAPE measurements were of 0.74 (0.09–0.86) for NO2; 0.58 (0.36–0.88) for PM10 and 0.58 (0.39–0.66) for PM2.5. Conclusions: LUR and dispersion model estimates correlated on average well for NO2 but only moderately for PM10 and PM2.5, with large variability across areas. DM predicted a moderate to large proportion of the measured variation for NO2 but less for PM10 and PM2.5. Keywords: Land use regression, Dispersion modelling, Air pollution, Exposure, Cohort
