Air pollution and stroke; effect modification by sociodemographic and environmental factors. A cohort study from Denmark

Aslak Harbo Poulsen*, Mette Sorensen, Ulla Arthur Hvidtfeldt, Matthias Ketzel, Jesper H. Christensen, Jorgen Brandt, Lise Marie Frohn, Jibran Khan, Steen Solvang Jensen, Thomas Lund, Ole Raaschou-Nielsen

*Corresponding author af dette arbejde

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

4 Citationer (Scopus)

Abstract

Objectives
Air pollution increases the risk of stroke, but the literature on identifying susceptible subgroups of populations is scarce and inconsistent. The aim of this study was to investigate if the association between air pollution and risk of stroke differed by sociodemographic factors, financial stress, comorbid conditions, and residential road traffic noise, population density and green space.

Methods
We assessed long-term exposure to air pollution with ultrafine particles, PM2.5, elemental carbon and NO2 for a cohort of 1,971,246 Danes aged 50–85 years. During follow-up from 2005 to 2017, we identified 83,211 incident stroke cases. We used Cox proportional hazards model (relative risk) and Aalen additive hazards models (absolute risk) to estimate associations and confidence intervals (CI) between 5-year running means of air pollution at the residence and risk of stroke in population strata.

Results
All four pollutants were associated with higher risk of stroke. The association between air pollution and stroke was strongest among individuals with comorbidities, with shorter education, lower income and being retired. The results also indicated stronger associations among individuals living in less populated areas, and with low noise levels and more green space around the residence. Estimates of absolute risk seemed better suited to detect such interactions than estimates of relative risk. For example for PM2.5 the hazard ratio for stroke was 1.28 (95%CI: 1.22–1.34) and 1.26 (95%CI: 1.16–1.37) among those with mandatory and medium/long education respectively. The corresponding rate difference estimates per 100,000 person years were 568 (95%CI: 543–594) and 423(95%CI: 390–456)

Conclusion
The associations between air pollution and risk of stroke was stronger among individuals of lower socioeconomic status or with pre-existing comorbid conditions. Absolute risk estimates were better suited to identify such effect modification.
OriginalsprogEngelsk
Artikelnummer114165
TidsskriftInternational Journal of Hygiene and Environmental Health
Vol/bind251
Antal sider9
ISSN1438-4639
DOI
StatusUdgivet - 2023

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