TY - JOUR
T1 - Urban air quality and associations with pediatric multiple sclerosis
AU - Lavery, Amy M.
AU - Waubant, Emmanuelle
AU - Casper, T. Charles
AU - Roalstad, Shelly
AU - Candee, Meghan
AU - Rose, John
AU - Belman, Anita
AU - Weinstock-Guttman, Bianca
AU - Aaen, Greg
AU - Tillema, Jan Mendelt
AU - Rodriguez, Moses
AU - Ness, Jayne
AU - Harris, Yolanda
AU - Graves, Jennifer
AU - Krupp, Lauren
AU - Charvet, Leigh
AU - Benson, Leslie
AU - Gorman, Mark
AU - Moodley, Manikum
AU - Rensel, Mary
AU - Goyal, Manu
AU - Mar, Soe
AU - Chitnis, Tanuja
AU - Schreiner, Teri
AU - Lotze, Tim
AU - Greenberg, Benjamin
AU - Kahn, Ilana
AU - Rubin, Jennifer
AU - Waldman, Amy T.
N1 - Funding Information:
Teva Neuroscience, EMD Serono, Novartis, Genzyme & Sanofi and Genentech, Celgene and Mallinckrodt Pharmaceuticals, Inc. Dr. Benjamin Greenberg received grant support from Biogen, Acorda, Chugai, Medimmune, Genentech, NIH, Guthy Jackson Charitable Foundation, and PCORI. Dr. Amy Waldman received funding from the NIH-NINDS, Biogen, and foundation support. The remaining authors have no disclosures to report.
Funding Information:
Study funded by NIH (R01NS071463)
Publisher Copyright:
© 2018 The Authors. Annals of Clinical and Translational Neurology published by Wiley Periodicals, Inc on behalf of American Neurological Association.
PY - 2018/10
Y1 - 2018/10
N2 - Background: We previously identified air quality as a risk factor of interest for pediatric multiple sclerosis. The purpose of this study is to more closely examine the association between the six criteria air pollutants and pediatric MS as well as identify specific areas of toxic release using data from the Toxic Release Inventory. Methods: Pediatric MS cases (N = 290) and healthy controls (N = 442) were included as part of an ongoing case–control study. We used the National Emissions Inventory system to estimate particulate exposure by county of residence for each participant. Proximity to Toxic Release Inventory (TRI) sites was also assessed using ArcGIS mapping tools. Risk-Screening Environmental Indicators (RSEI) classified counties at risk to exposure of environmental toxic releases. Results: Fine particulate matter (PM2.5), carbon monoxide (CO), sulfur dioxide (SO2), and lead air emissions were associated with increased odds for pediatric MS (P < 0.01) for those residing within 20 miles of an MS center. Most study participants (75%) resided within 5 miles of at least one TRI site; however, the mean total pounds of stack air releases was higher for sites near MS cases (81,000 tons) compared to those near healthy controls (35,000 tons, P = 0.002). Average RSEI scores did not differ significantly between cases and controls. Conclusion: Out of several air pollutants examined, we show that fine particulate matter and three other criteria pollutants (SO2, CO, and lead) were statistically associated with higher odds for pediatric MS.
AB - Background: We previously identified air quality as a risk factor of interest for pediatric multiple sclerosis. The purpose of this study is to more closely examine the association between the six criteria air pollutants and pediatric MS as well as identify specific areas of toxic release using data from the Toxic Release Inventory. Methods: Pediatric MS cases (N = 290) and healthy controls (N = 442) were included as part of an ongoing case–control study. We used the National Emissions Inventory system to estimate particulate exposure by county of residence for each participant. Proximity to Toxic Release Inventory (TRI) sites was also assessed using ArcGIS mapping tools. Risk-Screening Environmental Indicators (RSEI) classified counties at risk to exposure of environmental toxic releases. Results: Fine particulate matter (PM2.5), carbon monoxide (CO), sulfur dioxide (SO2), and lead air emissions were associated with increased odds for pediatric MS (P < 0.01) for those residing within 20 miles of an MS center. Most study participants (75%) resided within 5 miles of at least one TRI site; however, the mean total pounds of stack air releases was higher for sites near MS cases (81,000 tons) compared to those near healthy controls (35,000 tons, P = 0.002). Average RSEI scores did not differ significantly between cases and controls. Conclusion: Out of several air pollutants examined, we show that fine particulate matter and three other criteria pollutants (SO2, CO, and lead) were statistically associated with higher odds for pediatric MS.
UR - http://www.scopus.com/inward/record.url?scp=85053864512&partnerID=8YFLogxK
U2 - 10.1002/acn3.616
DO - 10.1002/acn3.616
M3 - Article
C2 - 30349849
AN - SCOPUS:85053864512
SN - 2328-9503
VL - 5
SP - 1146
EP - 1153
JO - Annals of Clinical and Translational Neurology
JF - Annals of Clinical and Translational Neurology
IS - 10
ER -