Prediction of lung function response for populations exposed to a wide range of ozone conditions

William F. McDonnell, Paul W. Stewart, Marjo V. Smith, Chong S. Kim, Edward S Schelegle

Research output: Contribution to journalArticle

23 Scopus citations

Abstract

Context: A human exposureresponse (ER) model previously demonstrated to accurately predict population mean FEV1 response to ozone exposure has been proposed as the foundation for future risk assessments for ambient ozone.Objective: Fit the original and related models to a larger data set with a wider range of exposure conditions and assess agreement between observed and population mean predicted values. Materials and methods: Existing individual ER data for 23 human controlled ozone exposure studies with a wide range of concentrations, activity levels, and exposure patterns have been obtained. The data were fit to the original model and to a version of the model that contains a threshold below which no response occurs using a statistical program for fitting nonlinear mixed models. Results: Mean predicted FEV1 responses and the predicted proportions of individuals experiencing FEV1 responses greater than 10, 15, and 20% were found to be in agreement with observed responses across a wide range of exposure conditions for both models. The threshold model, however, provided a better fit to the data than the original, particularly at the lowest levels of exposure. Conclusion: The models identified in this manuscript predict population FEV1 response characteristics for 1835-year-old individuals exposed to ozone over a wide range of conditions and represent a substantial improvement over earlier ER models. Because of its better fit to the data, particularly at low levels of exposure, the threshold model is likely to provide more accurate estimates of risk in future risk assessments of ozone-induced FEV1 effects.

Original languageEnglish (US)
Pages (from-to)619-633
Number of pages15
JournalInhalation Toxicology
Volume24
Issue number10
DOIs
StatePublished - Aug 2012

Keywords

  • Air pollution
  • Exposureresponse
  • Lung function
  • Model evaluation
  • Ozone
  • Risk assessment

ASJC Scopus subject areas

  • Toxicology
  • Health, Toxicology and Mutagenesis

Fingerprint Dive into the research topics of 'Prediction of lung function response for populations exposed to a wide range of ozone conditions'. Together they form a unique fingerprint.

  • Cite this