Supplemental Material
PM
2.5composition and disease aggravation in amyotrophic lateral sclerosis: an analysis of long-term exposure to components of fine particulate matter in New York
State
Yanelli Nunez, Amelia K. Boehme, Jeff Goldsmith, Maggie Li, Aaron van Donkelaar, Marc G.
Weisskopf, Diane B. Re, Randall V. Martin, and Marianthi-Anna Kioumourtzoglou
List of Figures
S.1 Time trends in hospitalization counts . . . . 2 S.2 Sensitivity analysis: confounding by time trends . . . . 3 S.3 Sensitivity analysis: age stratified analysis . . . . 4
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0.0 0.5 1.0 1.5 2.0
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
Year
First Hospitalizations/10,000 Population
Amyotrophic Lateral Sclerosis
Figure S.1: Time trends in hospitalization counts. The spaghetti plot show the hospitalization counts per 10,000 population per county (gray lines) and the NYS average (dark green line) from 2000 to 2014.
2
Sulfate Black Carbon Soil Sea Salt Organic Matter Nitrate
0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3
Rate Ratio per SD Increase Linear 4−df Spline Categorical
Figure S.2: Sensitivity analysis: confounding by time trends. Linear associations between one-year exposure to each PM2.5component and first ALS hospitalization in New York State (2000–2014) using three different parameterizations of the variable “year”: 1) as a linear term (Linear); 2) with a natural spline with 4 degrees of freedom (4-df Spline); and 3) as a categorical variable (Categorical). All models were adjusted for potential SES confounders. The effect estimates correspond to the rate ratios of first ALS hospitalization per one standard deviation increase in annual PM2.5 component concentrations. Bars represent 95% confidence intervals.
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Figure S.3: Sensitivity analysis: age stratified analysis. Linear associations between one-year expo- sure to each PM2.5 component and first ALS hospitalization in New York State (2000–2014) by age (≥65 dark gray and<65 green). Both models were adjusted for potential SES confounders and included all PM2.5 components. The effect estimates correspond to the rate ratios of first ALS hospitalization per one standard deviation increase in annual PM2.5 component concentrations. Bars represent 95% confidence intervals.