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

Data de publicação:

Autores da FMUP

  • Mariana Fernandes Lobo

    Autor

  • José Alberto Da Silva Freitas

    Autor

Participantes de fora da FMUP

  • Oliveira, M
  • Padrao, A
  • Ramalho, A
  • Teodoro, A.
  • Goncalves, H

Unidades de investigação

Abstract

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 (NO2) 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.

Dados da publicação

ISSN/ISSNe:
1661-7827, 1660-4601

International Journal of Environmental Research and Public Health  Multidisciplinary Digital Publishing Institute (MDPI)

Tipo:
Review
Páginas:
1-25
Link para outro recurso:
www.scopus.com

Citações Recebidas na Web of Science: 4

Citações Recebidas na Scopus: 9

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Keywords

  • neurodegenerative; environment; geospatial; epidemiology; systematic review

Campos de estudo

Financiamento

Proyectos asociados

A machine learning-based approach to support the assessment of clinical coded data quality in the context of Diagnosis-Related Groups classification systems

Investigador Principal: José Alberto da Silva Freitas

Estudo Clínico Académico . 2020

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