BACKGROUND: Seasonal and regional differences have been reported for the increase in short-term mortality associated with a given increase in the concentration of outdoor particulate matter with an aerodynamic diameter smaller than 10 μm (PM(10) mortality coefficient). Some of this difference may be because of seasonal and regional differences in indoor exposure to PM(10) of outdoor origin. METHODS: From a previous study, we obtained PM(10) mortality coefficients for each season in seven U.S. regions. We then estimated the change in the sum of indoor and outdoor PM(10) exposure per unit change in outdoor PM(10) exposure (PM(10) exposure coefficient) for each season in each region. This was originally accomplished by estimating PM(10) exposure coefficients for 19 cities within the regions for which we had modeled building infiltration rates. We subsequently expanded the analysis to include 64 additional cities with less well-characterized building infiltration rates. RESULTS: The correlation (r = 0.71 [95% confidence interval = 0.46 to 0.86]) between PM(10) mortality coefficients and PM(10) exposure coefficients (28 data pairs; four seasons in each of seven regions) was strong using exposure coefficients derived from the originally targeted 19 National Morbidity, Mortality, and Air Pollutions Study cities within the regions. The correlation remained strong (r = 0.67 [0.40 to 0.84]) when PM(10) exposure coefficients were derived using 83 cities within the regions (the original 19 plus the additional 64). CONCLUSIONS: Seasonal and regional differences in PM(10) mortality coefficients appear to partially reflect seasonal and regional differences in total PM(10) exposure per unit change in outdoor exposure.
BACKGROUND: Seasonal and regional differences have been reported for the increase in short-term mortality associated with a given increase in the concentration of outdoor particulate matter with an aerodynamic diameter smaller than 10 μm (PM(10) mortality coefficient). Some of this difference may be because of seasonal and regional differences in indoor exposure to PM(10) of outdoor origin. METHODS: From a previous study, we obtained PM(10) mortality coefficients for each season in seven U.S. regions. We then estimated the change in the sum of indoor and outdoor PM(10) exposure per unit change in outdoor PM(10) exposure (PM(10) exposure coefficient) for each season in each region. This was originally accomplished by estimating PM(10) exposure coefficients for 19 cities within the regions for which we had modeled building infiltration rates. We subsequently expanded the analysis to include 64 additional cities with less well-characterized building infiltration rates. RESULTS: The correlation (r = 0.71 [95% confidence interval = 0.46 to 0.86]) between PM(10) mortality coefficients and PM(10) exposure coefficients (28 data pairs; four seasons in each of seven regions) was strong using exposure coefficients derived from the originally targeted 19 National Morbidity, Mortality, and Air Pollutions Study cities within the regions. The correlation remained strong (r = 0.67 [0.40 to 0.84]) when PM(10) exposure coefficients were derived using 83 cities within the regions (the original 19 plus the additional 64). CONCLUSIONS: Seasonal and regional differences in PM(10) mortality coefficients appear to partially reflect seasonal and regional differences in total PM(10) exposure per unit change in outdoor exposure.
Authors: Lisa K Baxter; Kathie Dionisio; Prachi Pradeep; Kristen Rappazzo; Lucas Neas Journal: J Expo Sci Environ Epidemiol Date: 2018-10-11 Impact factor: 5.563
Authors: Natasha Hodas; Barbara J Turpin; Melissa M Lunden; Lisa K Baxter; Halûk Özkaynak; Janet Burke; Pamela Ohman-Strickland; Kelly Thevenet-Morrison; John B Kostis; David Q Rich Journal: J Expo Sci Environ Epidemiol Date: 2013-05-29 Impact factor: 5.563
Authors: J Taylor; C Shrubsole; M Davies; P Biddulph; P Das; I Hamilton; S Vardoulakis; A Mavrogianni; B Jones; E Oikonomou Journal: Indoor Air Date: 2014-05-10 Impact factor: 5.770
Authors: Anna Rosofsky; Jonathan I Levy; Michael S Breen; Antonella Zanobetti; M Patricia Fabian Journal: J Expo Sci Environ Epidemiol Date: 2018-09-21 Impact factor: 5.563