Additional file 1 of Reanalysis of the association between reduction in long-term PM2.5 concentrations and improved life expectancy
Creators: name: Kim, Sun-Young
name: Pope, Arden C.
name: Marshall, Julian D.
name: Fann, Neal
name: Sheppard, Lianne
Publisher: name: figshare
Year: 2021
Subjects: subject: Medicine
subject: Molecular Biology
subject: Biotechnology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Ecology
subject: FOS: Biological sciences
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Cancer
subject: Plant Biology

description: Additional file 1: Table S1. Estimates of life expectancy associated with a 10 μg/m3 increase in long-term average PM2.5 concentrations by the two time periods (1979-1983 and 1999-2000), adjusted for socioeconomic, demographic, and proxy indicators for prevalence of smoking across 211 U.S. counties, using PM2.5 concentrations based on Metropolitan Statistical Area (MSA) averages of Inhalable Particulate Network (IPN) or Federal Reference Method (FRM) monitoring data vs. county averages of predictions at census tract centroids and national grid coordinates estimated by the historical prediction model. Table S2. Estimates of the increase in life expectancy associated with a reduction in PM2.5 of 10 μg/m3 over approximately 20 years between 1979-1983 and 1999-2000, adjusted for socioeconomic, demographic, and proxy indicators for prevalence of smoking in 211 U.S. counties, using Metropolitan Statistical Area (MSA) average PM2.5 concentrations based on measurements from regulatory monitoring networks (Inhalable Particulate Network (IPN) or Federal Reference Method (FRM)) vs. predictions at census tract centroids and national grid coordinates estimated by the historical prediction model. Figure S1. Maps of 3,109 counties in the continental U.S., and 25-km grid coordinates, regulatory monitoring sites, and census tract centroids in Los Angeles county in 2010. Figure S2. Map of the 211 U.S. counties included in the life expectancy analysis in Pope et al. 2009. Figure S3. Scatter plots of PM2.5 concentrations using Metropolitan Statistical Area (MSA) averages based on measurements from regulatory monitoring networks (Inhalable Particulate Network (IPN) or Federal Reference Method (FRM)) vs. county averages based on predictions at census tract centroids (CT) and national grid coordinates (NG) estimated by the historical prediction model by 1980s (1979-1983), 2000s (1999-2000), and 1980s-2000s (1979-1983 minus 1999-2000) (green and red lines for the identity and best-fitted lines, respectively). Figure S4. Scatter plots of county-level annual averages of PM2.5 (μg/m3) predictions at census tract centroids estimated by the historical exposure prediction model against Metropolitan Statistical Area (MSA) averages of PM2.5 measurements from regulatory monitoring networks (Inhalable Particulate Network (IPN) or Federal Reference Method (FRM)) by 1980s (1979-1983), 2000s (1999-2000), and 1980s-2000s (1979-1983 minus 1999-2000) (same plots to those in the first column of Figure S3 but with colored dots indicating the rank of the concentration in 1980s). Figure S5. Maps of county-level annual-average PM2.5 concentrations (μg/m3) in 1980, 1990, 2000, and 2010 based on census tract centroid predictions estimated by the historical prediction model. Figure S6. Scatter plots of PM2.5 (μg/m3) and life expectancy for 1980-2000 between 1979-1983 and 1999-2000 across 211 U.S. counties using Metropolitan Statistical Area (MSA) average PM2.5 concentrations based on measurements from regulatory monitoring networks (Inhalable Particulate Network (IPN) or Federal Reference Method (FRM)) vs. predictions at census tract centroids (CT) and national grid coordinates (NG) estimated by the historical prediction model by 1990s, 2000s, and 1980s-2000s. Figure S7. Effect estimates and 95% confidence intervals of the life expectancy increase for a PM2.5 reduction of 10 μg/m3 between 1980s and 2000s across 211 U.S. counties, adjusted for socioeconomic, demographic, and proxy indicators for prevalence of smoking in four health analysis models, by different years of PM2.5 predictions at census tract centroids estimated by the historical prediction model (black closed circles indicating effect estimates of PM2.5 reduction based on IPN and FRM measurements between 1979-1983 and 1999-2000 in Pope et al. (2009); black open circles based on predictions for the same averaging periods as Pope et al. (2009) in our re-analysis; all the other symbols and colors based on predictions using different single start and end years). Figure S8. Map of 567 counties where there is at least one regulatory monitoring site after applying the minimum inclusion criteria for computing annual averages in 2000.