Your browser doesn't support javascript.
loading
PM2.5 composition and disease aggravation in amyotrophic lateral sclerosis: An analysis of long-term exposure to components of fine particulate matter in New York State.
Nunez, Yanelli; Boehme, Amelia K; Goldsmith, Jeff; Li, Maggie; van Donkelaar, Aaron; Weisskopf, Marc G; Re, Diane B; Martin, Randall V; Kioumourtzoglou, Marianthi-Anna.
Afiliación
  • Nunez Y; Department of Environmental Health Sciences, Mailman School of Public Health at Columbia University, New York, New York.
  • Boehme AK; Department of Epidemiology and Neurology, Columbia University, New York, New York.
  • Goldsmith J; Department of Biostatistics, Mailman School of Public Health at Columbia University, New York, New York.
  • Li M; Department of Environmental Health Sciences, Mailman School of Public Health at Columbia University, New York, New York.
  • van Donkelaar A; Department of Energy, Environmental & Chemical Engineering, Washington University at St. Louis, St. Louis, Missouri.
  • Weisskopf MG; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
  • Re DB; Department of Environmental Health Sciences, Mailman School of Public Health at Columbia University, New York, New York.
  • Martin RV; Department of Energy, Environmental & Chemical Engineering, Washington University at St. Louis, St. Louis, Missouri.
  • Kioumourtzoglou MA; Department of Environmental Health Sciences, Mailman School of Public Health at Columbia University, New York, New York.
Environ Epidemiol ; 6(2): e204, 2022 Apr.
Article en En | MEDLINE | ID: mdl-35434459
ABSTRACT
Long-term exposure to fine particulate matter (PM2.5) has been associated with disease aggravation in amyotrophic lateral sclerosis (ALS). In this study, we characterized long-term exposure to six major PM2.5 components and their individual association with disease aggravation in ALS.

Methods:

We leveraged 15 years of data from the New York Department of Health Statewide Planning and Research Cooperative System (2000-2014) to calculate annual ALS first hospitalizations in New York State. We used the first hospital admission as a surrogate of disease aggravation and a prediction model to estimate population-weighted annual black carbon, organic matter (OM), nitrate, sulfate, sea salt, and soil concentrations at the county level. We used a multi-pollutant mixed quasi-Poisson model with county-specific random intercepts to estimate rate ratios (RR) of 1-year exposure to each PM2.5 component and disease aggravation in ALS, adjusting for potential confounders.

Results:

We observed 5,655 first ALS-related hospitalizations. The annual average hospitalization count per county was 6.08 and the average PM2.5 total mass concentration per county was 8.1 µg/m3-below the United States' National Ambient Air Quality Standard of 12 µg/m3. We found a consistent positive association between ALS aggravation and OM (1.17, 95% confidence intervals [CI], 1.11, 1.24 per standard deviation [SD] increase) and a negative association with soil (RR = 0.91, 95% CI, 0.86, 0.97).

Conclusion:

Our findings suggest that PM2.5 composition may influence its effect on ALS. We found that annual increases in county-level particulate OM may be associated with disease aggravation in ALS, even at PM2.5 levels below current standards.
Palabras clave

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Environ Epidemiol Año: 2022 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Environ Epidemiol Año: 2022 Tipo del documento: Article