<?xml version="1.0" encoding="UTF-8"?>
<OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/"
         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd">
<ListRecords>
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/oai_dc/"
           xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"
           xmlns:dc="http://purl.org/dc/elements/1.1/"
           xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
           xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   	<dc:title>Urban green spaces, self-rated air pollution and health: A sensitivity analysis of green space characteristics and proximity in four European cities</dc:title>
   	<dc:creator>Cardinali, Marcel</dc:creator>
   	<dc:creator>Beenackers, Mariëlle A.</dc:creator>
   	<dc:creator>Timmeren, Arjan van</dc:creator>
   	<dc:creator>Pottgiesser, Uta</dc:creator>
   	<dc:subject>Greenspace</dc:subject>
   	<dc:subject>Mitigation</dc:subject>
   	<dc:subject>Air quality</dc:subject>
   	<dc:subject>Public health</dc:subject>
   	<dc:subject>Structural equation modelling</dc:subject>
   	<dc:description>Exploring the influence of green space characteristics and proximity on health via air pollution mitigation, our study analysed data from 1,365 participants across Porto, Nantes, Sofia, and H &amp; oslash;je-Taastrup. Utilizing OpenStreetMap and the AID-PRIGSHARE tool, we generated nine green space indicators around residential addresses at 15 distances, ranging from 100m to 1500m. We performed a mediation analysis for these 135 green space variables and revealed significant associations between self-rated air pollution and self-rated health for specific green space characteristics. In our study, indirect positive effects on health via air pollution were mainly associated with green corridors in intermediate Euclidean distances (800-1,000m) and the amount of accessible green spaces in larger network distances (1,400-1,500m). Our results suggest that the amount of connected green spaces measured in intermediate surroundings seems to be a prime green space characteristic that could drive the air pollution mitigation pathway to health.</dc:description>
   	<dc:publisher>Elsevier BV</dc:publisher>
   	<dc:date>2024</dc:date>
   	<dc:type>info:eu-repo/semantics/other</dc:type>
   	<dc:type>doc-type:other</dc:type>
   	<dc:type>text</dc:type>
   	<dc:type>http://purl.org/coar/resource_type/c_1843</dc:type>
   	<dc:identifier>https://www.th-owl.de/elsa/record/12830</dc:identifier>
   	<dc:source>Cardinali M, Beenackers MA, Timmeren A van, Pottgiesser U. Urban green spaces, self-rated air pollution and health: A sensitivity analysis of green space characteristics and proximity in four European cities. &lt;i&gt;  Health &amp;#38; place : an international journal ; a social science &amp;#38; medicine publication&lt;/i&gt;. 2024;89. doi:&lt;a href=&quot;https://doi.org/10.1016/j.healthplace.2024.103300&quot;&gt;10.1016/j.healthplace.2024.103300&lt;/a&gt;</dc:source>
   	<dc:language>eng</dc:language>
   	<dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.1016/j.healthplace.2024.103300</dc:relation>
   	<dc:relation>info:eu-repo/semantics/altIdentifier/issn/1353-8292</dc:relation>
   	<dc:relation>info:eu-repo/semantics/altIdentifier/issn/1873-2054</dc:relation>
   	<dc:relation>info:eu-repo/semantics/altIdentifier/wos/001260448200001</dc:relation>
   	<dc:relation>info:eu-repo/semantics/altIdentifier/pmid/38924920</dc:relation>
   	<dc:rights>info:eu-repo/semantics/closedAccess</dc:rights>
</oai_dc:dc>
</ListRecords>
</OAI-PMH>
