Association of Multiple Sclerosis with PM 2.5 levels. Further evidence from the highly polluted area of Padua Province, Italy

2021 ◽  
Vol 48 ◽  
pp. 102677
Author(s):  
Arianna Scartezzini ◽  
Fabio Tateo ◽  
Paola Perini ◽  
Luca Benacchio ◽  
Mario Ermani ◽  
...  
2021 ◽  
pp. 1-7
Author(s):  
Fatemeh Lotfi ◽  
Marjan Mansourian ◽  
Omid Mirmoayyeb ◽  
Soroush Najdaghi ◽  
Vahid Shaygannejad ◽  
...  

The association between air pollution and multiple sclerosis (MS) is not entirely clear. This meta-analysis was aimed at determining the correlation between particulate matter (PM)2.5, PM10, and MS incidence/relapse. The literature search was performed in EMBASE, Web of Science, PubMed, and the gray literature. Sixteen articles were retrieved, and ten articles were included and evaluated. Three measures of association were used for the meta-analysis: odds ratio (cross-sectional and case-control studies), incidence rate ratio, or hazard ratio (cohort studies). Meta-analysis of those 3 studies on PM2.5 indicated that exposure to PM2.5 was associated with MS relapse and incidence ([95% confidence interval; CI] 1.178 [1.102, 1.279]), <i>p</i> &#x3e; 0.05. Also, assessment of risk ratio for all studies showed a correlation between PMs (PM10 and PM2.5) and MS incidence and relapse ([95% CI] 1.28, [1.13–1.43]) <i>p</i> &#x3c; 0.05. Collectively, we found that PM exposure (PM10 and PM2.5) in MS patients associates with the occurrence and relapse of disease.


2018 ◽  
Vol 25 (13) ◽  
pp. 1719-1727 ◽  
Author(s):  
Fabio Tateo ◽  
Francesca Grassivaro ◽  
Mario Ermani ◽  
Marco Puthenparampil ◽  
Paolo Gallo

Background: Incidence and prevalence trends of multiple sclerosis (MS) in the Province of Padua, North-East Italy, suggest that environmental factors may be associated with increased MS risk. Objective: To investigate the association of PM2.5 with MS prevalence in one of the most polluted geographical area of Italy. Methods: In total, 1435 Italian MS patients residing in the Province of Padua were enrolled. The province surface was classified into urban areas, isolated villages, industrialized places, and countryside. Satellite-derived dust-free and sea salt-free PM2.5 concentrations (annual average 1998–2015, μg/m3) allowed the identification of 18 classes of territorial sections with statistically evaluable numbers of inhabitants. Possible correlations between residential locality types, PM2.5 concentrations, and MS prevalence were investigated. Results: MS prevalence was significantly ( p < 0.0001) higher in urban areas (ranging from 219 in Padua City to 169/100,000 in other urban areas) compared to isolated villages (116/100,000) or rural domains (109/100,000) and strongly correlated with the annual average concentration of PM2.5 ( r = 0.81, p < 0.001). Regression analysis further associated MS cases with PM.2.5 average concentration ( β = 0.11, p < 0.001). Conclusion: In the Province of Padua, MS prevalence is strongly associated with PM2.5 exposure suggesting that air pollutants may be one of the possible environmental risk factors for MS.


1996 ◽  
Vol 22 (3) ◽  
pp. 207-215 ◽  
Author(s):  
H. Li ◽  
M. L. Cuzner ◽  
J. Newcombe
Keyword(s):  

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