Framing air pollution epidemiology in terms of population interventions, with applications to multipollutant modeling.

ABSTRACT: Air pollution epidemiology continues moving toward the study of mixtures and multipollutant modeling. Simultaneously, there is a movement in epidemiology to estimate policy-relevant health effects that can be understood in reference to specific interventions. Scaling regression coefficients from a regression model by an interquartile range (IQR) is one common approach to presenting multipollutant health effect estimates. We are unaware of guidance on how to interpret these effect estimates as an intervention. To illustrate the issues of interpretability of IQR-scaled air pollution health effects, we analyzed how daily concentration changes in 2 air pollutants (nitrogen dioxide and particulate matter with aerodynamic diameter ≤ 2.5 μm) related to one another within 2 seasons (summer and win

SUBMITTER: Snowden JM 

PROVIDER: S-EPMC4374891 | biostudies-literature | 2015 Mar

REPOSITORIES: biostudies-literature