Ambient exposure to nitrogen dioxide and lung function: a multi-metric approach

Most studies evaluating chronic ambient exposure to nitrogen dioxide (NO<sub>2</sub>) have used averages as the exclusive exposure metric. However, this approach may lead to an underestimation of potential health effects. The objective of this study is to evaluate the association between ambient exposure to NO<sub>2</sub> assessed by various metrics, and lung function in a cohort of healthy male youth. A cross-sectional analysis of 5,462 subjects was conducted using multivariate linear regression. Exposure to NO₂ was assessed by spatial interpolation using Empirical Bayesian Kriging (EBK). Five different exposure metrics were evaluated over two years, including average concentration, the number and intensity of exceedances of the 24-h NO<sub>2</sub> World Health Organization air quality guideline (AQG), and the number and intensity of 1-h NO<sub>2</sub> peaks. Lung function indices, including percent predicted forced expiratory volume in one second (FEV<sub>1</sub>), forced vital capacity (FVC), forced expiratory flow between 25% and 75% of vital capacity (FEF<sub>25-75</sub>), and FEV<sub>1</sub>/FVC ratio, were assessed. The intensity of the 24-h AQG exceedances was associated with the largest reductions in FEV<sub>1</sub> (-0.82%, 95% CI: -1.61%, -0.03%) and FVC (-1.03%, 95% CI: -1.86%, -0.20%), while FEF<sub>25-75</sub> showed a significant decline only with the 1-h peak intensity metric (-2.78%, 95% CI: -5.02%, -0.54%). The study results support integrating diverse exposure metrics as part of NO<sub>2</sub> chronic exposure assessment, as these metrics may capture a wider range of potential health effects that could be underestimated or overlooked when relying only on average concentrations.

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Publication Details

Journal
Environmental Monitoring and Assessment
Published
2025-03-20
DOI
https://doi.org/10.1007/s10661-025-13871-4
Citations
3
Primary Topic
Air Quality and Health Impacts
Type
article
Field-Weighted Citation Impact
3.60

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article

Ambient exposure to nitrogen dioxide and lung function: a multi-metric approach

Rafael Y. Lefkowitz, Nili Borochov-Greenberg, Boris A. Portnov, Carmel Raz-Maman
3 citations
Environmental Monitoring and Assessment
Air Quality and Health Impacts
3.60
article

Ambient exposure to nitrogen dioxide and lung function: a multi-metric approach

Rafael Y. Lefkowitz, Nili Borochov-Greenberg, Boris A. Portnov, Carmel Raz-Maman
article en
3 citations

Abstract

Most studies evaluating chronic ambient exposure to nitrogen dioxide (NO<sub>2</sub>) have used averages as the exclusive exposure metric. However, this approach may lead to an underestimation of potential health effects. The objective of this study is to evaluate the association between ambient exposure to NO<sub>2</sub> assessed by various metrics, and lung function in a cohort of healthy male youth. A cross-sectional analysis of 5,462 subjects was conducted using multivariate linear regression. Exposure to NO₂ was assessed by spatial interpolation using Empirical Bayesian Kriging (EBK). Five different exposure metrics were evaluated over two years, including average concentration, the number and intensity of exceedances of the 24-h NO<sub>2</sub> World Health Organization air quality guideline (AQG), and the number and intensity of 1-h NO<sub>2</sub> peaks. Lung function indices, including percent predicted forced expiratory volume in one second (FEV<sub>1</sub>), forced vital capacity (FVC), forced expiratory flow between 25% and 75% of vital capacity (FEF<sub>25-75</sub>), and FEV<sub>1</sub>/FVC ratio, were assessed. The intensity of the 24-h AQG exceedances was associated with the largest reductions in FEV<sub>1</sub> (-0.82%, 95% CI: -1.61%, -0.03%) and FVC (-1.03%, 95% CI: -1.86%, -0.20%), while FEF<sub>25-75</sub> showed a significant decline only with the 1-h peak intensity metric (-2.78%, 95% CI: -5.02%, -0.54%). The study results support integrating diverse exposure metrics as part of NO<sub>2</sub> chronic exposure assessment, as these metrics may capture a wider range of potential health effects that could be underestimated or overlooked when relying only on average concentrations.

Environmental Monitoring and AssessmentVol. 197(4)
Yale University (US), Israel Defense Forces Medical Corps (IL), University of Haifa (IL)
University of Haifa, Ministry of Defense
Good health and well-being
Openalex Percentile: Top 9%
Air Quality and Health Impacts
3.60
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