<?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>2026-06-21T08:14:09Z</responseDate><request verb="GetRecord" identifier="oai:riubu.ubu.es:10259/5271" metadataPrefix="marc">https://riubu.ubu.es/oai/request</request><GetRecord><record><header><identifier>oai:riubu.ubu.es:10259/5271</identifier><datestamp>2024-05-17T08:07:27Z</datestamp><setSpec>com_10259_5498</setSpec><setSpec>com_10259_5086</setSpec><setSpec>com_10259_2604</setSpec><setSpec>com_10259_5501</setSpec><setSpec>col_10259_5499</setSpec><setSpec>col_10259_5502</setSpec></header><metadata><record xmlns="http://www.loc.gov/MARC21/slim" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dcterms="http://purl.org/dc/terms/" xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd">
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<subfield code="a">López García, José Ramón</subfield>
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<subfield code="a">García Herrero, Susana</subfield>
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<subfield code="a">Gutiérrez Llorente, José Manuel</subfield>
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<subfield code="a">Mariscal Saldaña, Miguel Ángel</subfield>
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<subfield code="c">2019-11</subfield>
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<subfield code="a">Today, the economic and social importance of occupational accidents is undeniable worldwide. Hence, research aimed at reducing&#xd;
this type of accident is considered a discipline of great interest for society in general. In this environment, working conditions play&#xd;
a fundamental role in the occurrence of accidents, and from their study, results can be obtained that provide information for&#xd;
decision-making that guarantee optimum conditions for the development of the employees’ tasks. Organizing the conditions of&#xd;
work execution is also a task that constitutes an essential aspect for a firm’s productivity, therefore, affecting their viability and&#xd;
results. In this work, a model is proposed for the study of different groups of working conditions and their influence on the&#xd;
probability of occupational accidents, in accordance with the data provided by the 7th National Survey of Working Conditions&#xd;
(VII NSWC). -e survey sampled 8892 workers active in all sectors of national production and is the last nation-wide survey&#xd;
administered in Spain. Bayesian networks (BNs) are used to generate a network that analyzes working conditions in all areas (27&#xd;
variables have been included in addition to those corresponding to the sector and accident), and then, more specifically, the&#xd;
relationship that is established between ergonomic factors in the workplace, psychosocial factors of the worker, and the probability&#xd;
of an accident. -e results are achieved through the network obtained by highlighting some of the proposed variables. -e&#xd;
dependencies generated by the chosen variables are analyzed, and subsequently, the probability of accident for each of the&#xd;
productive sectors is determined. It is concluded that the ergonomic risks associated with physical strains in the workplace,&#xd;
together with the lack of job satisfaction on the employer’s behalf, both pose a very significant increase in the probability of being&#xd;
involved in an occupational accident, above the other variables of study.</subfield>
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<subfield code="a">2314-6133</subfield>
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<subfield code="a">http://hdl.handle.net/10259/5271</subfield>
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<subfield code="a">10.1155/2019/2519020</subfield>
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<subfield code="a">2314-6141</subfield>
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<subfield code="a">Psychosocial and Ergonomic Conditions at Work: Influence on the Probability of a Workplace Accident</subfield>
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