<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><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"><responseDate>2026-04-29T07:25:37Z</responseDate><request verb="GetRecord" identifier="oai:repisalud.isciii.es:20.500.12105/16813" metadataPrefix="marc">https://repisalud.isciii.es/rest/oai/request</request><GetRecord><record><header><identifier>oai:repisalud.isciii.es:20.500.12105/16813</identifier><datestamp>2025-04-25T07:33:02Z</datestamp><setSpec>com_20.500.12105_2052</setSpec><setSpec>com_20.500.12105_2051</setSpec><setSpec>col_20.500.12105_19613</setSpec></header><metadata><record xmlns="http://www.loc.gov/MARC21/slim" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd">
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      <subfield code="a">Ruiz-Páez, R</subfield>
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      <subfield code="a">Diaz-Jimenez, Julio</subfield>
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      <subfield code="a">Lopez-Bueno, Jose Antonio</subfield>
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      <subfield code="a">Asensio, C</subfield>
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      <subfield code="a">Ascaso-Sánchez, María Soledad</subfield>
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      <subfield code="a">Saez, M</subfield>
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   <datafield ind2=" " ind1=" " tag="720">
      <subfield code="a">Luna, María Yolanda</subfield>
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      <subfield code="a">Barceló, M Antònia</subfield>
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   <datafield ind2=" " ind1=" " tag="720">
      <subfield code="a">Navas-Martin, Miguel Angel</subfield>
      <subfield code="e">author</subfield>
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      <subfield code="a">Linares-Gil, Cristina</subfield>
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      <subfield code="c">2023-02-15</subfield>
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      <subfield code="a">Introduction: The aim of this study was to study the effect of air pollution and noise has on the population in Madrid Community (MAR) in the period 2013-2018, and its economic impact. Methods: Time series study analysing emergency hospital admissions in the MAR due to all causes (ICD-10: A00-R99), respiratory causes (ICD-10: J00-J99) and circulatory causes (ICD-10: I00-I99) across the period 2013-2018. The main independent variables were mean daily PM2.5, PM10, NO2, 8-h ozone concentrations, and noise. We controlled for meteorological variables, Public Holidays, seasonality, and the trend and autoregressive nature of the series, and fitted generalised linear models with a Poisson regression link to ascertain the relative risks and attributable risks. In addition, we made an economic assessment of these hospitalisations. Results: The following associations were found: NO2 with admissions due to natural (RR: 1.007, 95% CI: 1.004-1.011) and respiratory causes (RR: 1.012, 95% CI: 1.005-1.019); 8-h ozone with admissions due to natural (RR: 1.049, 95% CI: 1.014-1.046) and circulatory causes (RR: 1.088, 95% CI: 1.039-1.140); and diurnal noise (LAeq7-23h) with admissions due to natural (RR: 1.001, 95% CI: 1.001-1.002), respiratory (RR: 1.002, 95% CI: 1.001-1.003) and circulatory causes (RR: 1.003, 95% CI: 1.002-1.005). Every year, a total of 8246 (95% CI: 4580-11,905) natural-cause admissions are attributable to NO2, with an estimated cost of close on €120 million and 5685 (95% CI: 2533-8835) attributed to LAeq7-23h with an estimated cost of close on €82 million. Conclusions: Nitrogen dioxide, ozone and noise are the main pollutants to which a large number of hospitalisations in the MAR are attributed, and are thus responsible for a marked deterioration in population health and high related economic impact.</subfield>
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      <subfield code="a">Environ Res. 2023 Feb 15:219:115147.</subfield>
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      <subfield code="a">http://hdl.handle.net/20.500.12105/16813</subfield>
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      <subfield code="a">36580986</subfield>
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      <subfield code="a">10.1016/j.envres.2022.115147</subfield>
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   <datafield ind1="8" ind2=" " tag="024">
      <subfield code="a">1096-0953</subfield>
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      <subfield code="a">Environmental research</subfield>
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      <subfield code="a">Air pollution</subfield>
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      <subfield code="a">Economic assessment</subfield>
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      <subfield code="a">Hospital admissions</subfield>
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      <subfield code="a">Noise</subfield>
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   <datafield ind2="0" ind1="0" tag="245">
      <subfield code="a">Short-term effects of air pollution and noise on emergency hospital admissions in Madrid and economic assessment</subfield>
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