Comparison of associations between mortality and air pollution exposure estimated with a hybrid, a land-use regression and a dispersion model
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Comparison of associations between mortality and air pollution exposure estimated with a hybrid, a land-use regression and a dispersion model. / Klompmaker, Jochem O.; Janssen, Nicole; Andersen, Zorana J.; Atkinson, Richard; Bauwelinck, Mariska; Chen, Jie; de Hoogh, Kees; Houthuijs, Danny; Katsouyanni, Klea; Marra, Marten; Oftedal, Bente; Rodopoulou, Sophia; Samoli, Evangelia; Stafoggia, Massimo; Strak, Maciej; Swart, Wim; Wesseling, Joost; Vienneau, Danielle; Brunekreef, Bert; Hoek, Gerard.
I: Environment International, Bind 146, 106306, 2021.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - Comparison of associations between mortality and air pollution exposure estimated with a hybrid, a land-use regression and a dispersion model
AU - Klompmaker, Jochem O.
AU - Janssen, Nicole
AU - Andersen, Zorana J.
AU - Atkinson, Richard
AU - Bauwelinck, Mariska
AU - Chen, Jie
AU - de Hoogh, Kees
AU - Houthuijs, Danny
AU - Katsouyanni, Klea
AU - Marra, Marten
AU - Oftedal, Bente
AU - Rodopoulou, Sophia
AU - Samoli, Evangelia
AU - Stafoggia, Massimo
AU - Strak, Maciej
AU - Swart, Wim
AU - Wesseling, Joost
AU - Vienneau, Danielle
AU - Brunekreef, Bert
AU - Hoek, Gerard
N1 - Publisher Copyright: © 2020 The Authors
PY - 2021
Y1 - 2021
N2 - Introduction: To characterize air pollution exposure at a fine spatial scale, different exposure assessment methods have been applied. Comparison of associations with health from different exposure methods are scarce. The aim of this study was to evaluate associations of air pollution based on hybrid, land-use regression (LUR) and dispersion models with natural cause and cause-specific mortality. Methods: We followed a Dutch national cohort of approximately 10.5 million adults aged 29+ years from 2008 until 2012. We used Cox proportional hazard models with age as underlying time scale and adjusted for several potential individual and area-level socio-economic status confounders to evaluate associations of annual average residential NO2, PM2.5 and BC exposure estimates based on two stochastic models (Dutch LUR, European-wide hybrid) and deterministic Dutch dispersion models. Results: Spatial variability of PM2.5 and BC exposure was smaller for LUR compared to hybrid and dispersion models. NO2 exposure variability was similar for the three methods. Pearson correlations between hybrid, LUR and dispersion modeled NO2 and BC ranged from 0.72 to 0.83; correlations for PM2.5 were slightly lower (0.61–0.72). In general, all three models showed stronger associations of air pollutants with respiratory disease and lung cancer mortality than with natural cause and cardiovascular disease mortality. The strength of the associations differed between the three exposure models. Associations of air pollutants estimated by LUR were generally weaker compared to associations of air pollutants estimated by hybrid and dispersion models. For natural cause mortality, we found a hazard ratio (HR) of 1.030 (95% confidence interval (CI): 1.019, 1.041) per 10 µg/m3 for hybrid modeled NO2, a HR of 1.003 (95% CI: 0.993, 1.013) per 10 µg/m3 for LUR modeled NO2 and a HR of 1.015 (95% CI: 1.005, 1.024) per 10 µg/m3 for dispersion modeled NO2. Conclusion: Air pollution was positively associated with natural cause and cause-specific mortality, but the strength of the associations differed between the three exposure models. Our study documents that the selected exposure model may contribute to heterogeneity in effect estimates of associations between air pollution and health.
AB - Introduction: To characterize air pollution exposure at a fine spatial scale, different exposure assessment methods have been applied. Comparison of associations with health from different exposure methods are scarce. The aim of this study was to evaluate associations of air pollution based on hybrid, land-use regression (LUR) and dispersion models with natural cause and cause-specific mortality. Methods: We followed a Dutch national cohort of approximately 10.5 million adults aged 29+ years from 2008 until 2012. We used Cox proportional hazard models with age as underlying time scale and adjusted for several potential individual and area-level socio-economic status confounders to evaluate associations of annual average residential NO2, PM2.5 and BC exposure estimates based on two stochastic models (Dutch LUR, European-wide hybrid) and deterministic Dutch dispersion models. Results: Spatial variability of PM2.5 and BC exposure was smaller for LUR compared to hybrid and dispersion models. NO2 exposure variability was similar for the three methods. Pearson correlations between hybrid, LUR and dispersion modeled NO2 and BC ranged from 0.72 to 0.83; correlations for PM2.5 were slightly lower (0.61–0.72). In general, all three models showed stronger associations of air pollutants with respiratory disease and lung cancer mortality than with natural cause and cardiovascular disease mortality. The strength of the associations differed between the three exposure models. Associations of air pollutants estimated by LUR were generally weaker compared to associations of air pollutants estimated by hybrid and dispersion models. For natural cause mortality, we found a hazard ratio (HR) of 1.030 (95% confidence interval (CI): 1.019, 1.041) per 10 µg/m3 for hybrid modeled NO2, a HR of 1.003 (95% CI: 0.993, 1.013) per 10 µg/m3 for LUR modeled NO2 and a HR of 1.015 (95% CI: 1.005, 1.024) per 10 µg/m3 for dispersion modeled NO2. Conclusion: Air pollution was positively associated with natural cause and cause-specific mortality, but the strength of the associations differed between the three exposure models. Our study documents that the selected exposure model may contribute to heterogeneity in effect estimates of associations between air pollution and health.
KW - Dispersion model
KW - Exposure assessment
KW - LUR model
KW - Mortality
KW - NO
KW - PM
U2 - 10.1016/j.envint.2020.106306
DO - 10.1016/j.envint.2020.106306
M3 - Journal article
C2 - 33395948
AN - SCOPUS:85097743035
VL - 146
JO - Environment international
JF - Environment international
SN - 0160-4120
M1 - 106306
ER -
ID: 286624941