<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1645-0086</journal-id>
<journal-title><![CDATA[Psicologia, Saúde & Doenças]]></journal-title>
<abbrev-journal-title><![CDATA[Psic., Saúde & Doenças]]></abbrev-journal-title>
<issn>1645-0086</issn>
<publisher>
<publisher-name><![CDATA[Sociedade Portuguesa de Psicologia da Saúde]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1645-00862022000200533</article-id>
<article-id pub-id-type="doi">10.15309/22psd230224</article-id>
<title-group>
<article-title xml:lang="pt"><![CDATA[Avaliação de stress ocupacional em tempo de crise: desafios à psicologia 4.0]]></article-title>
<article-title xml:lang="en"><![CDATA[Occupational stress assessment in times of crisis: challenges to psychology 4.0]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Souto]]></surname>
<given-names><![CDATA[Isabel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Brito]]></surname>
<given-names><![CDATA[Elisabeth]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
<xref ref-type="aff" rid="Aaf"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Pereira]]></surname>
<given-names><![CDATA[Anabela]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidade de Aveiro Departamento de Educação e Psicologia ]]></institution>
<addr-line><![CDATA[Aveiro ]]></addr-line>
<country>Portugal</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidade de Aveiro Escola Superior de Tecnologia e Gestão de Águeda ]]></institution>
<addr-line><![CDATA[Aveiro ]]></addr-line>
<country>Portugal</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidade de Aveiro Unidade de Investigação em Governança, Competitividade e Políticas Públicas ]]></institution>
<addr-line><![CDATA[Aveiro ]]></addr-line>
<country>Portugal</country>
</aff>
<aff id="Af4">
<institution><![CDATA[,Universidade de Évora  ]]></institution>
<addr-line><![CDATA[Évora ]]></addr-line>
<country>Portugal</country>
</aff>
<pub-date pub-type="pub">
<day>30</day>
<month>08</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="epub">
<day>30</day>
<month>08</month>
<year>2022</year>
</pub-date>
<volume>23</volume>
<numero>2</numero>
<fpage>533</fpage>
<lpage>543</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.pt/scielo.php?script=sci_arttext&amp;pid=S1645-00862022000200533&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.pt/scielo.php?script=sci_abstract&amp;pid=S1645-00862022000200533&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.pt/scielo.php?script=sci_pdf&amp;pid=S1645-00862022000200533&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="pt"><p><![CDATA[Resumo O Stresse Ocupacional (SO) pode prejudicar seriamente a saúde física e mental dos trabalhadores. Esta temática tornou-se particularmente relevante na crise pandémica causada pela COVID-19, destacando-se os profissionais do sector da saúde, como aquele que esteve na linha da frente da resposta e nas pressões sofridas para as adaptações necessárias nos locais de trabalho. O presente estudo apresenta dados relativos a exposição a FRPs (avaliados com COPSOQ III), níveis de Distress e Resiliência. Dos 208 enfermeiros inquiridos, 56,3% apresentou níveis de Distress elevados e apenas 15,9% apresentou níveis de resiliência adequados. Para mais de 80% dos participantes o nível de exigências Emocionais e Cognitivas, representa risco elevado para a saúde. Os resultados contribuem com evidências que permitam o desenvolvimento de diretrizes de prevenção. No entanto, olhar para um fenómeno apenas num determinado momento pode ser limitativo, pois não reflete as mudanças ao longo do tempo. Neste contexto volátil, é urgente o desenvolvimento de ferramentas que permitam maximizar o processo de avaliação, prevenção e intervenção. Discute-se como técnicas de inteligência artificial e machine learning podem proporcionar oportunidades para ultrapassar limites e fazer análises precisas que, associadas a plataformas interativa de e-health, podem constituir-se como ferramentas de promoção da SO de alta aplicabilidade.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Occupational Stress (OS) can seriously impair the physical and mental health of workers. This theme became particularly relevant during the pandemic crisis caused by COVID-19, with healthcare professionals standing out, as the ones who were in the frontline of the response and in the pressures suffered for the necessary adaptations in the workplace. The present study presents data regarding exposure to FRPs (assessed with COPSOQ III), levels of Distress and Resilience. Of the 208 nurses surveyed, 56.3% had high levels of Distress and only 15.9% had adequate levels of resilience. For more than 80% of the participants, the level of Emotional and Cognitive demands represents a high risk for health. The results contribute evidence to enable the development of prevention guidelines. However, looking at a phenomenon only at one point in time can be limiting, as it does not reflect changes over time. In this volatile context, there is an urgent need to develop tools to maximize the process of assessment, prevention and intervention. It is discussed how artificial intelligence and machine learning techniques can provide opportunities to overcome limits and make accurate analyses that, associated with interactive e-health platforms, can constitute as highly applicable OS promotion tools.]]></p></abstract>
<kwd-group>
<kwd lng="pt"><![CDATA[Stress ocupacional]]></kwd>
<kwd lng="pt"><![CDATA[Riscos psicossociais]]></kwd>
<kwd lng="pt"><![CDATA[e-health]]></kwd>
<kwd lng="pt"><![CDATA[machine learning]]></kwd>
<kwd lng="pt"><![CDATA[Psicologia 4.0]]></kwd>
<kwd lng="en"><![CDATA[Occupational stress]]></kwd>
<kwd lng="en"><![CDATA[psychosocial risks]]></kwd>
<kwd lng="en"><![CDATA[e-health]]></kwd>
<kwd lng="en"><![CDATA[machine learning]]></kwd>
<kwd lng="en"><![CDATA[Psychology 4.0]]></kwd>
</kwd-group>
</article-meta>
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