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Written By: Editorial Team | Published : October 14, 2018 4:52 PM IST
There is strong epidemiological and toxicological evidence linking ambient ozone exposure to adverse health effects. ©Shutterstock
A novel method has been utilised by a new study in three major regions of the world to estimate long-term ozone exposure to quantify the health burden from long-term ozone exposure. According to the ANI report, the study has been published in the Journal of Environmental Research Letters. At the Duke University, the researchers estimated that 266,000 (confidence interval: 186,000-338,000) premature mortalities across Europe, the USA, and China in 2015 were attributable to long-term exposure to ozone (O3).
The study's lead author, Karl Seltzer reportedly said that there is strong epidemiological and toxicological evidence linking ambient ozone exposure to adverse health effects. Historically, much of the previous research focused on short-term impacts. They utilized results from the growing body of evidence that links long-term O3 exposure and increased cause-specific premature mortalities, particularly from respiratory diseases.
For the study, the researchers used 2015 data from ground-based monitoring networks in the USA, Europe, and China to estimate long-term O3 exposure. They then calculated premature mortalities using exposure-response relationships from two American Cancer Society (ACS) cancer prevention studies.
According to Seltzer, global estimates of O3 exposure are often made using state-of-the-art chemical transport models (CTMs). However, they based their study on observed air quality data, because it has several advantages over CTM modelling approaches.
Interestingly, the team's observationally-derived data shows smaller human-health impacts when compared to prior modelling results.
Explaining this, Seltzer explained that this difference is due to small biases in modelled results. These small biases are subsequently amplified by non-linear exposure-response curves. This highlights the importance of accurately estimating long-term O3 exposure in health impact assessments. The overall findings from this study have important implications for policy makers and the public, for several reasons.
First, health impacts attributable to long-term O3 exposure are higher when using the newest ACS CPS-II cohort analysis. Plus, the impacts are expanded further if the association between long-term O3 exposure and cardiovascular mortality is indeed shown to be causal and included in the total health burden estimates.
Second, results from the newest ACS CPS-II cohort analysis suggest that O3 exposure should be considered year-round. This is particularly relevant for the three regions included in this analysis, where the seasonal cycle and regional distributions of O3 have shifted over the last few decades.
Finally, these results also highlighted the consequences of high exposure bias in estimating impacts for health assessments and the importance of accurately estimating O3 exposure.
