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Geospatial Analysis of Environmental Atmospheric Risk Factors in Neurodegenerative Diseases: A Systematic Review

Despite the vast evidence on the environmental influence in neurodegenerative diseases, those considering a geospatial approach are scarce. We conducted a systematic review to identify studies concerning environmental atmospheric risk factors for neurodegenerative diseases that have used geospatial...

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Autores principales: Oliveira, Mariana, Padrão, André, Ramalho, André, Lobo, Mariana, Teodoro, Ana Cláudia, Gonçalves, Hernâni, Freitas, Alberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7697835/
https://www.ncbi.nlm.nih.gov/pubmed/33202965
http://dx.doi.org/10.3390/ijerph17228414
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author Oliveira, Mariana
Padrão, André
Ramalho, André
Lobo, Mariana
Teodoro, Ana Cláudia
Gonçalves, Hernâni
Freitas, Alberto
author_facet Oliveira, Mariana
Padrão, André
Ramalho, André
Lobo, Mariana
Teodoro, Ana Cláudia
Gonçalves, Hernâni
Freitas, Alberto
author_sort Oliveira, Mariana
collection PubMed
description Despite the vast evidence on the environmental influence in neurodegenerative diseases, those considering a geospatial approach are scarce. We conducted a systematic review to identify studies concerning environmental atmospheric risk factors for neurodegenerative diseases that have used geospatial analysis/tools. PubMed, Web of Science, and Scopus were searched for all scientific studies that included a neurodegenerative disease, an environmental atmospheric factor, and a geographical analysis. Of the 34 included papers, approximately 60% were related to multiple sclerosis (MS), hence being the most studied neurodegenerative disease in the context of this study. Sun exposure (n = 13) followed by the most common exhaustion gases (n = 10 for nitrogen dioxide (NO(2)) and n = 5 for carbon monoxide (CO)) were the most studied atmospheric factors. Only one study used a geospatial interpolation model, although 13 studies used remote sensing data to compute atmospheric factors. In 20% of papers, we found an inverse correlation between sun exposure and multiple sclerosis. No consensus was reached in the analysis of nitrogen dioxide and Parkinson’s disease, but it was related to dementia and amyotrophic lateral sclerosis. This systematic review (number CRD42020196188 in PROSPERO’s database) provides an insight into the available evidence regarding the geospatial influence of environmental factors on neurodegenerative diseases.
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spelling pubmed-76978352020-11-29 Geospatial Analysis of Environmental Atmospheric Risk Factors in Neurodegenerative Diseases: A Systematic Review Oliveira, Mariana Padrão, André Ramalho, André Lobo, Mariana Teodoro, Ana Cláudia Gonçalves, Hernâni Freitas, Alberto Int J Environ Res Public Health Review Despite the vast evidence on the environmental influence in neurodegenerative diseases, those considering a geospatial approach are scarce. We conducted a systematic review to identify studies concerning environmental atmospheric risk factors for neurodegenerative diseases that have used geospatial analysis/tools. PubMed, Web of Science, and Scopus were searched for all scientific studies that included a neurodegenerative disease, an environmental atmospheric factor, and a geographical analysis. Of the 34 included papers, approximately 60% were related to multiple sclerosis (MS), hence being the most studied neurodegenerative disease in the context of this study. Sun exposure (n = 13) followed by the most common exhaustion gases (n = 10 for nitrogen dioxide (NO(2)) and n = 5 for carbon monoxide (CO)) were the most studied atmospheric factors. Only one study used a geospatial interpolation model, although 13 studies used remote sensing data to compute atmospheric factors. In 20% of papers, we found an inverse correlation between sun exposure and multiple sclerosis. No consensus was reached in the analysis of nitrogen dioxide and Parkinson’s disease, but it was related to dementia and amyotrophic lateral sclerosis. This systematic review (number CRD42020196188 in PROSPERO’s database) provides an insight into the available evidence regarding the geospatial influence of environmental factors on neurodegenerative diseases. MDPI 2020-11-13 2020-11 /pmc/articles/PMC7697835/ /pubmed/33202965 http://dx.doi.org/10.3390/ijerph17228414 Text en © 2020 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 Review
Oliveira, Mariana
Padrão, André
Ramalho, André
Lobo, Mariana
Teodoro, Ana Cláudia
Gonçalves, Hernâni
Freitas, Alberto
Geospatial Analysis of Environmental Atmospheric Risk Factors in Neurodegenerative Diseases: A Systematic Review
title Geospatial Analysis of Environmental Atmospheric Risk Factors in Neurodegenerative Diseases: A Systematic Review
title_full Geospatial Analysis of Environmental Atmospheric Risk Factors in Neurodegenerative Diseases: A Systematic Review
title_fullStr Geospatial Analysis of Environmental Atmospheric Risk Factors in Neurodegenerative Diseases: A Systematic Review
title_full_unstemmed Geospatial Analysis of Environmental Atmospheric Risk Factors in Neurodegenerative Diseases: A Systematic Review
title_short Geospatial Analysis of Environmental Atmospheric Risk Factors in Neurodegenerative Diseases: A Systematic Review
title_sort geospatial analysis of environmental atmospheric risk factors in neurodegenerative diseases: a systematic review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7697835/
https://www.ncbi.nlm.nih.gov/pubmed/33202965
http://dx.doi.org/10.3390/ijerph17228414
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