<?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>2026-07-23T17:42:58Z</responseDate><request verb="GetRecord" identifier="oai:repisalud.isciii.es:20.500.12105/23303" metadataPrefix="mets">https://repisalud.isciii.es/rest/oai/request</request><GetRecord><record><header><identifier>oai:repisalud.isciii.es:20.500.12105/23303</identifier><datestamp>2024-11-28T14:45:01Z</datestamp><setSpec>com_20.500.12105_15322</setSpec><setSpec>com_20.500.12105_2051</setSpec><setSpec>col_20.500.12105_16927</setSpec><setSpec>col_20.500.12105_16967</setSpec></header><metadata><mets xmlns="http://www.loc.gov/METS/" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" ID="&#xa;&#x9;&#x9;&#x9;&#x9;DSpace_ITEM_20.500.12105-23303" TYPE="DSpace ITEM" PROFILE="DSpace METS SIP Profile 1.0" xsi:schemaLocation="http://www.loc.gov/METS/ http://www.loc.gov/standards/mets/mets.xsd" OBJID="&#xa;&#x9;&#x9;&#x9;&#x9;hdl:20.500.12105/23303">
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                  <mods:namePart>Abbate, Manuela</mods:namePart>
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                  <mods:namePart>Pericas, Jordi</mods:namePart>
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                  <mods:namePart>Yañez, Aina M</mods:namePart>
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                  <mods:namePart>Lopez-Gonzalez, Angel A</mods:namePart>
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                  <mods:namePart>de Pedro-Gómez, Joan Ernest</mods:namePart>
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                  <mods:namePart>Aguilo, Antoni</mods:namePart>
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                  <mods:namePart>Morales-Asencio, Jose M</mods:namePart>
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                  <mods:namePart>Bennasar-Veny, Miquel</mods:namePart>
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                  <mods:dateAccessioned encoding="iso8601">2024-09-18T06:43:58Z</mods:dateAccessioned>
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                  <mods:dateIssued encoding="iso8601">2021-10</mods:dateIssued>
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               <mods:identifier type="citation">Abbate M, Pericas J, Yanez AM, Lopez-Gonzalez AA, De Pedro-Gomez J, Aguilo A, et al. Socioeconomic Inequalities in Metabolic Syndrome by Age and Gender in a Spanish Working Population. Int J Environ Res Public Health. 2021 Oct;18(19):10333.</mods:identifier>
               <mods:identifier type="doi">10.3390/ijerph181910333</mods:identifier>
               <mods:identifier type="e-issn">1660-4601</mods:identifier>
               <mods:identifier type="journal">International Journal of Environmental Research and Public Health</mods:identifier>
               <mods:identifier type="other">https://hdl.handle.net/20.500.13003/19825</mods:identifier>
               <mods:identifier type="pubmedID">34639628</mods:identifier>
               <mods:identifier type="pui">L2013964296</mods:identifier>
               <mods:identifier type="scopus">2-s2.0-85116073521</mods:identifier>
               <mods:identifier type="uri">https://hdl.handle.net/20.500.12105/23303</mods:identifier>
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               <mods:abstract>Lower socio-economic status (SES) is significantly associated with metabolic syndrome (MS) prevalence, possibly affecting women more than men, although evidence in Spain is still limited. The present cross-sectional study analyzed the association between MS and SES by age and gender among 42,146 working adults living in the Balearic Islands (Spain). Prevalence was higher in men (9.4% by ATP-III; 12.3% by IDF) than women (3.8% by ATP-III; 5.7% by IDF) and in the lower social class (7.9% by ATP-III; 10.7% by IDF) than the higher (4.1% by ATP-III; 5.9% by IDF). The SES gradient in MS prevalence was larger in women (PR 95% CI: 3.38, 2.50-4.58 by ATP-III; 3.06, 2.43-3.86 by IDF) than in men (1.23, 1.06-1.41 by ATP-III; 1.15, 1.03-1.30 by IDF) and was already evident from early adulthood, reaching the highest ratio at the late stages of middle adulthood (4.34, 1.11-16.98). Among men, it was significant during the late stages of early adulthood only (1.80, 1.19-2.73). Lower SES influenced MS prevalence in both genders, however, women seemed more affected than men. From a public health perspective, SES could be strongly associated with the burden of MS; in an effort to reduce its prevalence, public health policies should focus on gender differences in socio-economic inequality and consider women with low socio-economic resources as a priority.</mods:abstract>
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               <mods:subject>
                  <mods:topic>Socioeconomic status</mods:topic>
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               <mods:subject>
                  <mods:topic>Socioeconomic status gradient</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Metabolic syndrome</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Prevalence of metabolic syndrome</mods:topic>
               </mods:subject>
               <mods:titleInfo>
                  <mods:title>Socioeconomic Inequalities in Metabolic Syndrome by Age and Gender in a Spanish Working Population</mods:title>
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               <mods:genre>research article</mods:genre>
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