Changing variance and skewness as leading indicators for detecting ozone exposure-associated lung function decrement
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The objective of this study was to develop a novel risk analysis approach to assess ozone exposure as a risk factor for respiratory health. Based on the human exposure experiment, the study first constructed the relationship between lung function decrement and respiratory symptoms scores (ranged 0–1 corresponding to absent to severe symptoms). This study used a toxicodynamic model to estimate different levels of ozone exposure concentration-associated lung function decrement measured as percent forced expiratory volume in 1 s (%FEV1). The relationships between 8-h ozone exposure and %FEV1 decrement were also constructed with a concentration–response model. The recorded time series of environmental monitoring of ozone concentrations in Taiwan were used to analyze the statistical indicators which may have predictability in ozone-induced airway function disorders. A statistical indicator-based probabilistic risk assessment framework was used to predict and assess the ozone-associated respiratory symptoms scores. The results showed that ozone-associated lung function decrement can be detected by using information from statistical indicators. The coefficient of variation and skewness were the common indicators which were highly correlated with %FEV1 decrement in the next 7 days. The model predictability can be further improved by a composite statistical indicator. There was a 50 % risk probability that mean and maximum respiratory symptoms scores would fall within the moderate region, 0.33–0.67, with estimates of 0.36 (95 % confidence interval 0.27–0.45) and 0.50 (0.41–0.59), respectively. We conclude that statistical indicators related to variability and skewness can provide a powerful tool for detecting ozone-induced health effects from empirical data in specific populations.
KeywordsOzone Lung function Statistical indicators Toxicodynamic model Time-series dynamics Probabilistic risk assessment
The authors acknowledge the financial support of the National Science Council of Republic of China under Grant NSC 100-2313-B-002-012-MY3.
- Carpenter SR, Brock WA (2006) Rising variance: a leading indicator of ecological transition. Ecol Lett 9:308–315Google Scholar
- Gerrity TR, McDonnell WF (1989) Do functional changes in humans correlate with the airway removal efficiency of ozone? In: Schneider T, Lee SD, Wolters GJR, Grant LD (eds) Atmospheric ozone research and its policy implications. Elsevier, Amsterdam, pp 293–300Google Scholar
- Hill AV (1910) The possible effects of the aggregation of the hemoglobin on its dissociation curves. J Physiol 40:4–7Google Scholar
- National Research Council (2008) Estimating mortality risk reduction and economic benefits from controlling ozone air pollution. National Academy Press, Washington 2008Google Scholar
- Tank J, Biller H, Heusser K, Holz O, Diedrich A, Framke T, Koch A, Grosshennig A, Koch W, Krug N, Jordan J, Hohlfeld JM (2011) Effect of acute ozone induced airway inflammation on human sympathetic nerve traffic: a randomized, placebo controlled, crossover study. PLoS ONE 6:e18737CrossRefGoogle Scholar
- World Health Organization (2006) Air quality guidelines for particulate matter, ozone, nitrogen dioxide and sulfur dioxide. World Health Organization Press, Washington 2006Google Scholar