Systematic Review and Meta-Analysis on incidence and risk of stroke in individuals with long-term exposure to air pollutants

Dataset

Abstract

Exposure to air pollution is now recognized globally by governments, leading research scientists, and civil society as one of the greatest public health hazards of the 21st century. Stroke is a major cause of disability and death worldwide, and its incidence and mortality rate have been found associated with air pollution. Since 2013 up to 2019, 11 journal review articles have summarised and analysed, separately, the effect of different air pollutants in stroke incidence and/or mortality, some as part of all-cause mortality analyses, highlighting the elevated incidence and mortality rates in highly polluted countries vs. others considered with low air pollution. These analyses mainly have considered the effect of particulate matter (PM) and nitrogen oxide (NOx). But the moderating role of vascular risk factors and the differential role of these pollutants compared to other sources of air pollution have not been analysed. This dataset contains the results of the systematic search, data extraction and meta-analyses from systematically reviewing the existent literature on stroke-related factors (incidence, vascular risk factors and characteristics of the populations) in relation to several air pollutants (i.e. particulate matter (PM), nitrogen dioxide (NO2)/oxide (NO), ozone (O3), carbon monoxide (CO), lead, sulphur dioxide (SO2), polycyclic aromatic hydrocarbons (PAH), black carbon). The data is contained in one excel spreadsheet. Worksheets not containing meta-analyses are also provided in csv (comma delimited) format. This dataset aims to inform studies of stroke on the differential effect of air pollution in stroke up to December 2020.

Data Citation

Morrison, Ruairidh; Valdés Hernández, Maria. (2021). Systematic Review and Meta-Analysis on incidence and risk of stroke in individuals with long-term exposure to air pollutants, [dataset]. University of Edinburgh. Centre for Clinical Brain Sciences. https://doi.org/10.7488/ds/3061.
Date made available22 Jun 2021
PublisherEdinburgh DataShare

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