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Risk of Amyotrophic Lateral Sclerosis and Exposure to Particulate Matter from Vehicular Traffic: A Case-Control Study
(1) Background: Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease with still unknown etiology. Some occupational and environmental risk factors have been suggested, including long-term air pollutant exposure. We carried out a pilot case-control study in order to evaluate...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7908475/ https://www.ncbi.nlm.nih.gov/pubmed/33499343 http://dx.doi.org/10.3390/ijerph18030973 |
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author | Filippini, Tommaso Mandrioli, Jessica Malagoli, Carlotta Costanzini, Sofia Cherubini, Andrea Maffeis, Giuseppe Vinceti, Marco |
author_facet | Filippini, Tommaso Mandrioli, Jessica Malagoli, Carlotta Costanzini, Sofia Cherubini, Andrea Maffeis, Giuseppe Vinceti, Marco |
author_sort | Filippini, Tommaso |
collection | PubMed |
description | (1) Background: Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease with still unknown etiology. Some occupational and environmental risk factors have been suggested, including long-term air pollutant exposure. We carried out a pilot case-control study in order to evaluate ALS risk due to particulate matter with a diameter of ≤10 µm (PM(10)) as a proxy of vehicular traffic exposure. (2) Methods: We recruited ALS patients and controls referred to the Modena Neurology ALS Care Center between 1994 and 2015. Using a geographical information system, we modeled PM(10) concentrations due to traffic emissions at the geocoded residence address at the date of case diagnosis. We computed the odds ratio (OR) and 95% confidence interval (CI) of ALS according to increasing PM(10) exposure, using an unconditional logistic regression model adjusted for age and sex. (3) Results: For the 132 study participants (52 cases and 80 controls), the average of annual median and maximum PM(10) concentrations were 5.2 and 38.6 µg/m(3), respectively. Using fixed cutpoints at 5, 10, and 20 of the annual median PM(10) levels, and compared with exposure <5 µg/m(3), we found no excess ALS risk at 5–10 µg/m(3) (OR 0.87, 95% CI 0.39–1.96), 10–20 µg/m(3) (0.94, 95% CI 0.24–3.70), and ≥20 µg/m(3) (0.87, 95% CI 0.05–15.01). Based on maximum PM(10) concentrations, we found a statistically unstable excess ALS risk for subjects exposed at 10–20 µg/m(3) (OR 4.27, 95% CI 0.69–26.51) compared with those exposed <10 µg/m(3). However, risk decreased at 20–50 µg/m(3) (OR 1.49, 95% CI 0.39–5.75) and ≥50 µg/m(3) (1.16, 95% CI 0.28–4.82). ALS risk in increasing tertiles of exposure showed a similar null association, while comparison between the highest and the three lowest quartiles lumped together showed little evidence for an excess risk at PM(10) concentrations (OR 1.13, 95% CI 0.50–2.55). After restricting the analysis to subjects with stable residence, we found substantially similar results. (4) Conclusions: In this pilot study, we found limited evidence of an increased ALS risk due to long-term exposure at high PM(10) concentration, though the high statistical imprecision of the risk estimates, due to the small sample size, particularly in some exposure categories, limited our capacity to detect small increases in risk, and further larger studies are needed to assess this relation. |
format | Online Article Text |
id | pubmed-7908475 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-79084752021-02-27 Risk of Amyotrophic Lateral Sclerosis and Exposure to Particulate Matter from Vehicular Traffic: A Case-Control Study Filippini, Tommaso Mandrioli, Jessica Malagoli, Carlotta Costanzini, Sofia Cherubini, Andrea Maffeis, Giuseppe Vinceti, Marco Int J Environ Res Public Health Article (1) Background: Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease with still unknown etiology. Some occupational and environmental risk factors have been suggested, including long-term air pollutant exposure. We carried out a pilot case-control study in order to evaluate ALS risk due to particulate matter with a diameter of ≤10 µm (PM(10)) as a proxy of vehicular traffic exposure. (2) Methods: We recruited ALS patients and controls referred to the Modena Neurology ALS Care Center between 1994 and 2015. Using a geographical information system, we modeled PM(10) concentrations due to traffic emissions at the geocoded residence address at the date of case diagnosis. We computed the odds ratio (OR) and 95% confidence interval (CI) of ALS according to increasing PM(10) exposure, using an unconditional logistic regression model adjusted for age and sex. (3) Results: For the 132 study participants (52 cases and 80 controls), the average of annual median and maximum PM(10) concentrations were 5.2 and 38.6 µg/m(3), respectively. Using fixed cutpoints at 5, 10, and 20 of the annual median PM(10) levels, and compared with exposure <5 µg/m(3), we found no excess ALS risk at 5–10 µg/m(3) (OR 0.87, 95% CI 0.39–1.96), 10–20 µg/m(3) (0.94, 95% CI 0.24–3.70), and ≥20 µg/m(3) (0.87, 95% CI 0.05–15.01). Based on maximum PM(10) concentrations, we found a statistically unstable excess ALS risk for subjects exposed at 10–20 µg/m(3) (OR 4.27, 95% CI 0.69–26.51) compared with those exposed <10 µg/m(3). However, risk decreased at 20–50 µg/m(3) (OR 1.49, 95% CI 0.39–5.75) and ≥50 µg/m(3) (1.16, 95% CI 0.28–4.82). ALS risk in increasing tertiles of exposure showed a similar null association, while comparison between the highest and the three lowest quartiles lumped together showed little evidence for an excess risk at PM(10) concentrations (OR 1.13, 95% CI 0.50–2.55). After restricting the analysis to subjects with stable residence, we found substantially similar results. (4) Conclusions: In this pilot study, we found limited evidence of an increased ALS risk due to long-term exposure at high PM(10) concentration, though the high statistical imprecision of the risk estimates, due to the small sample size, particularly in some exposure categories, limited our capacity to detect small increases in risk, and further larger studies are needed to assess this relation. MDPI 2021-01-22 2021-02 /pmc/articles/PMC7908475/ /pubmed/33499343 http://dx.doi.org/10.3390/ijerph18030973 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Filippini, Tommaso Mandrioli, Jessica Malagoli, Carlotta Costanzini, Sofia Cherubini, Andrea Maffeis, Giuseppe Vinceti, Marco Risk of Amyotrophic Lateral Sclerosis and Exposure to Particulate Matter from Vehicular Traffic: A Case-Control Study |
title | Risk of Amyotrophic Lateral Sclerosis and Exposure to Particulate Matter from Vehicular Traffic: A Case-Control Study |
title_full | Risk of Amyotrophic Lateral Sclerosis and Exposure to Particulate Matter from Vehicular Traffic: A Case-Control Study |
title_fullStr | Risk of Amyotrophic Lateral Sclerosis and Exposure to Particulate Matter from Vehicular Traffic: A Case-Control Study |
title_full_unstemmed | Risk of Amyotrophic Lateral Sclerosis and Exposure to Particulate Matter from Vehicular Traffic: A Case-Control Study |
title_short | Risk of Amyotrophic Lateral Sclerosis and Exposure to Particulate Matter from Vehicular Traffic: A Case-Control Study |
title_sort | risk of amyotrophic lateral sclerosis and exposure to particulate matter from vehicular traffic: a case-control study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7908475/ https://www.ncbi.nlm.nih.gov/pubmed/33499343 http://dx.doi.org/10.3390/ijerph18030973 |
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