Comparison of performance of land use regression models derived for Catalunya, Spain

Nazelle, Audrey de; Aguilera, Inmaculada; Nieuwenhuijsen, Mark; Beelen, Rob; Cirach, Marta; Hoek, Gerard; Hoogh, Kees de; Sunyer, Jordi; Targa, Jaume; Brunekreef, Bert; Künzli, Nino; Basagaña, Xavier

doi:10.1016/j.atmosenv.2013.05.054

Cited by 9 publications

(16 citation statements)

References 22 publications

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“…A different LUR model was used for the more recent (ESCAPE model) exposures than for the pregnancy and early life exposures (INMA model), which may be difficult for direct comparisons. However, for NO 2 , the ESCAPE model performed well at the ESCAPE sites in Sabadell (R 2 =0.69), and ESCAPE and INMA-Sabadell model predictions at INMA-Sabadell cohort addresses were relatively well correlated (R 2 =0.56) 34. Not all participants were able to perform spirometry testing; although preschool children are able to perform these manoeuvres 35.…”

Section: Discussionmentioning

confidence: 93%

Intrauterine and early postnatal exposure to outdoor air pollution and lung function at preschool age

Morales

Garcia-Esteban

Cruz

et al. 2014

Thorax

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149

106

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Background Effects of prenatal and postnatal exposure to air pollution on lung function at preschool age remain unexplored. We examined the association of exposure to air pollution during specific trimesters of pregnancy and postnatal life with lung function in preschoolers. Methods Lung function was assessed with spirometry in preschoolers aged 4.5 years (n=620) participating in the INfancia y Medio Ambiente (INMA) cohort. Temporally adjusted land use regression (LUR) models were applied to estimate individual residential exposures to benzene and nitrogen dioxide (NO 2 ) during specific trimesters of pregnancy and early postnatal life (the first year of life). Recent and current (1 year and 1 week before lung function testing, respectively) exposures to NO 2 and nitrogen oxides (NO x ) were also assessed. Results Exposure to higher levels of benzene and NO 2 during pregnancy was associated with reduced lung function. FEV 1 estimates for an IQR increase in exposures during the second trimester of pregnancy were −18.4 mL, 95% CI −34.8 to −2.1 for benzene and −28.0 mL, 95% CI −52.9 to −3.2 for NO 2 . Relative risk (RR) of low lung function (<80% of predicted FEV 1 ) for an IQR increase in benzene and NO 2 during the second trimester of pregnancy were 1.22, 95% CI 1.02 to 1.46 and 1.30, 95% CI 0.97 to 1.76, respectively. Associations for early postnatal, recent and current exposures were not statistically significant. Stronger associations appeared among allergic children and those of lower social class. Conclusions Prenatal exposure to residential trafficrelated air pollution may result in long-term lung function deficits at preschool age.

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Section: Discussionmentioning

confidence: 93%

Intrauterine and early postnatal exposure to outdoor air pollution and lung function at preschool age

Morales

Garcia-Esteban

Cruz

et al. 2014

Thorax

Self Cite

149

106

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“…Although REGICOR was aimed at capturing the small-scale variation between residential addresses of cohort members in a Mediterranean city with narrow street canyons, ESCAPE was aimed at capturing exposure to main emission sources in a standardized manner all across regions in Europe. Comparison of performance between the REGICOR and the ESCAPE LUR models has been evaluated elsewhere ( de Nazelle et al 2013 ). This study showed that models performed relatively similarly well at predicting their own measured concentrations, but the ESCAPE model increasingly overpredicted the measurements of independent data sets at higher NO 2 levels.…”

Section: Discussionmentioning

confidence: 99%

Air Pollution and Atherosclerosis: A Cross-Sectional Analysis of FourEuropean Cohort Studies in the ESCAPE Study

Pérez

Wolf

Hennig

et al. 2015

Environ Health Perspect

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Background:In four European cohorts, we investigated the cross-sectional association between long-term exposure to air pollution and intima-media thickness of the common carotid artery (CIMT), a preclinical marker of atherosclerosis.Methods:Individually assigned levels of nitrogen dioxide, nitrogen oxides, particulate matter ≤ 2.5 μm (PM2.5), absorbance of PM2.5 (PM2.5abs), PM10, PMcoarse, and two indicators of residential proximity to highly trafficked roads were obtained under a standard exposure protocol (European Study of Cohorts for Air Pollution Effects—ESCAPE study) in the Stockholm area (Sweden), the Ausburg and Ruhr area (Germany), and the Girona area (Spain). We used linear regression and meta-analyses to examine the association between long-term exposure to air pollution and CIMT.Results:The meta-analysis with 9,183 individuals resulted in an estimated increase in CIMT (geometric mean) of 0.72% (95% CI: –0.65%, 2.10%) per 5-μg/m3 increase in PM2.5 and 0.42% (95% CI: –0.46%, 1.30%) per 10–5/m increase in PM2.5abs. Living in proximity to high traffic was also positively but not significantly associated with CIMT. Meta-analytic estimates for other pollutants were inconsistent. Results were similar across different adjustment sets and sensitivity analyses. In an extended meta-analysis for PM2.5 with three other previously published studies, a 0.78% (95% CI: –0.18%, 1.75%) increase in CIMT was estimated for a 5-μg/m3 contrast in PM2.5.Conclusions:Using a standardized exposure and analytical protocol in four European cohorts, we found that cross-sectional associations between CIMT and the eight ESCAPE markers of long-term residential air pollution exposure did not reach statistical significance. The additional meta-analysis of CIMT and PM2.5 across all published studies also was positive but not significant.Citation:Perez L, Wolf K, Hennig F, Penell J, Basagaña X, Foraster M, Aguilera I, Agis D, Beelen R, Brunekreef B, Cyrys J, Fuks KB, Adam M, Baldassarre D, Cirach M, Elosua R, Dratva J, Hampel R, Koenig W, Marrugat J, de Faire U, Pershagen G, Probst-Hensch NM, de Nazelle A, Nieuwenhuijsen MJ, Rathmann W, Rivera M, Seissler J, Schindler C, Thiery J, Hoffmann B, Peters A, Künzli N. 2015. Air pollution and atherosclerosis: a cross-sectional analysis of four European cohort studies in the ESCAPE Study. Environ Health Perspect 123:597–605; http://dx.doi.org/10.1289/ehp.1307711

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“…Moreover, the model performance of LUR was consistent across the location settings ( Table 2). Since the LUR model construction was primarily focused on trafficrelated variables, depicting small-scale spatial variability in concentrations due to traffic, 10,16 it is no surprise that the LUR model outperformed AQFM at traffic site with a 17% reduction in the RMSE. The LUR model performed equally well at nontraffic sites (albeit less well than the AQFM at these sites), showing consistency across land use types, as would be hoped for (possibly a result of the natural area variable).…”

Section: ■ Results and Discussionmentioning

confidence: 99%

“…9 Thus, in addition to the small-scale spatial variability, there is a strong demand for a modeling framework that can cover large geographic domains. 10 Chemical Transport Models (CTM) are used to simulate the dynamics of ambient air pollutants over large spatial domains with coarse spatial resolution (between 12 and 25 km at regional scale, and between 4 and 10 km for single country applications) and fine temporal resolution (1 h) by jointly accounting for the emission patterns, meteorological conditions, and chemical reactions. 11−13 CTMs divide the atmosphere into three-dimensional grid cells.…”

Section: ■ Introductionmentioning

confidence: 99%

Large Scale Air Pollution Estimation Method Combining Land Use Regression and Chemical Transport Modeling in a Geostatistical Framework

Akita

Baldasano

Beelen

et al. 2014

Environ. Sci. Technol.

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In recognition that intraurban exposure gradients may be as large as between-city variations, recent air pollution epidemiologic studies have become increasingly interested in capturing within-city exposure gradients. In addition, because of the rapidly accumulating health data, recent studies also need to handle large study populations distributed over large geographic domains. Even though several modeling approaches have been introduced, a consistent modeling framework capturing within-city exposure variability and applicable to large geographic domains is still missing. To address these needs, we proposed a modeling framework based on the Bayesian Maximum Entropy method that integrates monitoring data and outputs from existing air quality models based on Land Use Regression (LUR) and Chemical Transport Models (CTM). The framework was applied to estimate the yearly average NO 2 concentrations over the region of Catalunya in Spain. By jointly accounting for the global scale variability in the concentration from the output of CTM and the intraurban scale variability through LUR model output, the proposed framework outperformed more conventional approaches.

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Comparison of performance of land use regression models derived for Catalunya, Spain

Cited by 9 publications

References 22 publications

Intrauterine and early postnatal exposure to outdoor air pollution and lung function at preschool age

Intrauterine and early postnatal exposure to outdoor air pollution and lung function at preschool age

Air Pollution and Atherosclerosis: A Cross-Sectional Analysis of FourEuropean Cohort Studies in the ESCAPE Study

Large Scale Air Pollution Estimation Method Combining Land Use Regression and Chemical Transport Modeling in a Geostatistical Framework

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