ORCID: https://orcid.org/0000-0001-5000-5756; Nobile, Federica
ORCID: https://orcid.org/0000-0002-8040-8975; Marb, Anne
ORCID: https://orcid.org/0000-0002-1420-0180; Dubrow, Robert
ORCID: https://orcid.org/0000-0002-5071-7742; Stafoggia, Massimo
ORCID: https://orcid.org/0000-0003-2843-2908; Breitner, Susanne; Kinney, Patrick L. und Chen, Kai
ORCID: https://orcid.org/0000-0002-0164-1112
(4. März 2024):
Short-Term Exposure to Fine Particulate Matter and Nitrogen Dioxide and Mortality in 4 Countries.
In: JAMA Network Open, Bd. 7, Nr. 3, e2354607
[PDF, 1MB]

Abstract
Importance: The association between short-term exposure to air pollution and mortality has been widely documented worldwide; however, few studies have applied causal modeling approaches to account for unmeasured confounders that vary across time and space.
Objective: To estimate the association between short-term changes in fine particulate matter (PM2.5) and nitrogen dioxide (NO2) concentrations and changes in daily all-cause mortality rates using a causal modeling approach.
Design, setting, and participants: This cross-sectional study used air pollution and mortality data from Jiangsu, China; California; central-southern Italy; and Germany with interactive fixed-effects models to control for both measured and unmeasured spatiotemporal confounders. A total of 8 963 352 deaths in these 4 regions from January 1, 2015, to December 31, 2019, were included in the study. Data were analyzed from June 1, 2021, to October 30, 2023.
Exposure: Day-to-day changes in county- or municipality-level mean PM2.5 and NO2 concentrations.
Main outcomes and measures: Day-to-day changes in county- or municipality-level all-cause mortality rates.
Results: Among the 8 963 352 deaths in the 4 study regions, a 10-μg/m3 increase in daily PM2.5 concentration was associated with an increase in daily all-cause deaths per 100 000 people of 0.01 (95% CI, 0.001-0.01) in Jiangsu, 0.03 (95% CI, 0.004-0.05) in California, 0.10 (95% CI, 0.07-0.14) in central-southern Italy, and 0.04 (95% CI, 0.02- 0.05) in Germany. The corresponding increases in mortality rates for a 10-μg/m3 increase in NO2 concentration were 0.04 (95% CI, 0.03-0.05) in Jiangsu, 0.03 (95% CI, 0.01-0.04) in California, 0.10 (95% CI, 0.05-0.15) in central-southern Italy, and 0.05 (95% CI, 0.04-0.06) in Germany. Significant effect modifications by age were observed in all regions, by sex in Germany (eg, 0.05 [95% CI, 0.03-0.06] for females in the single-pollutant model of PM2.5), and by urbanicity in Jiangsu (0.07 [95% CI, 0.04-0.10] for rural counties in the 2-pollutant model of NO2).
Conclusions and relevance: The findings of this cross-sectional study contribute to the growing body of evidence that increases in short-term exposures to PM2.5 and NO2 may be associated with increases in all-cause mortality rates. The interactive fixed-effects model, which controls for unmeasured spatial and temporal confounders, including unmeasured time-varying confounders in different spatial units, can be used to estimate associations between changes in short-term exposure to air pollution and changes in health outcomes.
Dokumententyp: | Zeitschriftenartikel |
---|---|
Fakultät: | Medizin > Institut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie |
Themengebiete: | 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit |
URN: | urn:nbn:de:bvb:19-epub-124725-0 |
ISSN: | 2574-3805 |
Sprache: | Englisch |
Dokumenten ID: | 124725 |
Datum der Veröffentlichung auf Open Access LMU: | 13. Mrz. 2025 07:29 |
Letzte Änderungen: | 13. Mrz. 2025 07:29 |