Relationship of leukaemias with long-term ambient air pollution exposures in the adult Danish populationShow others and affiliations
2020 (English)In: British Journal of Cancer, ISSN 0007-0920, E-ISSN 1532-1827, Vol. 123, no 12, p. 1818-1824Article in journal (Refereed) Published
Abstract [en]
Background: Few population-based epidemiological studies of adults have examined the relationship between air pollution and leukaemias.
Methods: Using Danish National Cancer Registry data and Danish DEHM-UBM-AirGIS system-modelled air pollution exposures, we examined whether particulate matter (PM2.5), black carbon (BC), nitrogen dioxide (NO2) and ozone (O3) averaged over 1, 5 or 10 years were associated with adult leukaemia in general or by subtype. In all, 14,986 adult cases diagnosed 1989–2014 and 51,624 age, sex and time-matched controls were included. Separate conditional logistic regression models, adjusted for socio-demographic factors, assessed exposure to each pollutant with leukaemias.
Results: Fully adjusted models showed a higher risk of leukaemia with higher 1-, 5- and 10-year-average exposures to PM2.5 prior to diagnosis (e.g. OR per 10 µg/m3 for 10-year average: 1.17, 95% CI: 1.03, 1.32), and a positive relationship with 1-year average BC. Results were driven by participants 70 years and older (OR per 10 µg/m3 for 10-year average: 1.35, 95% CI: 1.15–1.58). Null findings for younger participants. Higher 1-year average PM2.5 exposures were associated with higher risks for acute myeloid and chronic lymphoblastic leukaemia.
Conclusion: Among older adults, higher risk for leukaemia was associated with higher residential PM2.5 concentrations averaged over 1, 5 and 10 years prior to diagnosis.
Place, publisher, year, edition, pages
Nature Publishing Group, 2020. Vol. 123, no 12, p. 1818-1824
National Category
Occupational Health and Environmental Health
Identifiers
URN: urn:nbn:se:oru:diva-120498DOI: 10.1038/s41416-020-01058-2ISI: 000570043600003PubMedID: 32939055Scopus ID: 2-s2.0-85091133854OAI: oai:DiVA.org:oru-120498DiVA, id: diva2:1951173
Funder
NordForsk, 750072025-04-102025-04-102025-04-11Bibliographically approved