PM exposure as a risk factor for multiple sclerosis. An ecological study with a Bayesian mapping approach
Environmental Science and Pollution Research, ISSN: 1614-7499, Vol: 28, Issue: 3, Page: 2804-2809
2021
- 22Citations
- 37Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations22
- Citation Indexes22
- 22
- CrossRef16
- Captures37
- Readers37
- 37
Article Description
Some environmental factors are associated with an increased risk of multiple sclerosis (MS). Air pollution could be a main one. This study was conducted to investigate the association of particulate matter 2.5 (PM) concentrations with MS prevalence in the province of Pavia, Italy. The overall MS prevalence in the province of Pavia is 169.4 per 100,000 inhabitants. Spatial ground-level PM gridded data were analysed, by municipality, for the period 2010–2016. Municipalities were grouped by tertiles according to PM concentration. Ecological regression and Bayesian statistics were used to analyse the association between PM concentrations, degree of urbanization, deprivation index and MS risk. MS risk was higher among persons living in areas with an average winter PM concentration above the European annual limit value (25 μg/m). The Bayesian map revealed sizeable MS high-risk clusters. The study found a relationship between low MS risk and lower PM levels, strengthening the suggestion that air pollution may be one of the environmental risk factors for MS.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85090456707&origin=inward; http://dx.doi.org/10.1007/s11356-020-10595-5; http://www.ncbi.nlm.nih.gov/pubmed/32894443; https://link.springer.com/10.1007/s11356-020-10595-5; https://dx.doi.org/10.1007/s11356-020-10595-5; https://link.springer.com/article/10.1007%2Fs11356-020-10595-5
Springer Science and Business Media LLC
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