At-risk and intervention thresholds of occupational stress using a visual analogue scale.
Identifieur interne : 001145 ( PubMed/Checkpoint ); précédent : 001144; suivant : 001146At-risk and intervention thresholds of occupational stress using a visual analogue scale.
Auteurs : Frédéric Dutheil [France] ; Bruno Pereira [France] ; Farès Moustafa [France] ; Geraldine Naughton [Australie] ; François-Xavier Lesage [France] ; Céline Lambert [France]Source :
- PloS one [ 1932-6203 ] ; 2017.
Descripteurs français
- KwdFr :
- MESH :
- physiopathologie : Stress psychologique.
- psychologie : Emploi, Stress psychologique.
- Adulte, Adulte d'âge moyen, Enquêtes et questionnaires, Facteurs de risque, Femelle, Humains, Mâle, Échelle visuelle analogique.
English descriptors
- KwdEn :
- MESH :
- physiopathology : Stress, Psychological.
- psychology : Employment, Stress, Psychological.
- Adult, Female, Humans, Male, Middle Aged, Risk Factors, Surveys and Questionnaires, Visual Analog Scale.
Abstract
The visual analogue scale (VAS) is widely used in clinical practice by occupational physicians to assess perceived stress in workers. However, a single cut-off (black-or-white decision) inadequately discriminates between workers with and without stress. We explored an innovative statistical approach to distinguish an at-risk population among stressed workers, and to establish a threshold over which an action is urgently required, via the use of two cut-offs.
DOI: 10.1371/journal.pone.0178948
PubMed: 28586383
Affiliations:
- Australie, France
- Auvergne (région administrative), Auvergne-Rhône-Alpes, Languedoc-Roussillon, Occitanie (région administrative)
- Clermont-Ferrand, Montpellier
Links toward previous steps (curation, corpus...)
Links to Exploration step
pubmed:28586383Le document en format XML
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<term>Stress psychologique (psychologie)</term>
<term>Échelle visuelle analogique</term>
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<front><div type="abstract" xml:lang="en">The visual analogue scale (VAS) is widely used in clinical practice by occupational physicians to assess perceived stress in workers. However, a single cut-off (black-or-white decision) inadequately discriminates between workers with and without stress. We explored an innovative statistical approach to distinguish an at-risk population among stressed workers, and to establish a threshold over which an action is urgently required, via the use of two cut-offs.</div>
</front>
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<pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">28586383</PMID>
<DateCreated><Year>2017</Year>
<Month>06</Month>
<Day>06</Day>
</DateCreated>
<DateCompleted><Year>2017</Year>
<Month>09</Month>
<Day>19</Day>
</DateCompleted>
<DateRevised><Year>2017</Year>
<Month>09</Month>
<Day>19</Day>
</DateRevised>
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<Issue>6</Issue>
<PubDate><Year>2017</Year>
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<ArticleTitle>At-risk and intervention thresholds of occupational stress using a visual analogue scale.</ArticleTitle>
<Pagination><MedlinePgn>e0178948</MedlinePgn>
</Pagination>
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<Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">The visual analogue scale (VAS) is widely used in clinical practice by occupational physicians to assess perceived stress in workers. However, a single cut-off (black-or-white decision) inadequately discriminates between workers with and without stress. We explored an innovative statistical approach to distinguish an at-risk population among stressed workers, and to establish a threshold over which an action is urgently required, via the use of two cut-offs.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">Participants were recruited during annual work medical examinations by a random sample of workers from five occupational health centres. We previously proposed a single cut-off of VAS stress in comparison with the Perceived Stress Scale (PSS14). Similar methodology was used in the current study, along with a gray zone approach. The lower limit of the gray zone supports sensitivity ("at-risk" threshold; interpreted as requiring closer surveillance) and the upper limit supports specificity (i.e. "intervention" threshold-emergency action required).</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">We included 500 workers (49.6% males), aged 40±11 years, with a PSS14 score of 3.8±1.4 and a VAS score of 4.0±2.4. Using a receiver operating characteristic curve and the PSS cut-off score of 7.2, the optimal VAS threshold was 6.8 (sensitivity = 0.89, specificity = 0.87). The lower and upper thresholds of the gray zone were 5 and 8.2, respectively.</AbstractText>
<AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">We identified two clinically relevant cut-offs on the VAS of stress: a first cut-off of 5.0 for an at-risk population, and a second cut-off of 8.2 over which an action is urgently required. Future investigations into the relationships between this upper threshold and deleterious events are required.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Dutheil</LastName>
<ForeName>Frédéric</ForeName>
<Initials>F</Initials>
<Identifier Source="ORCID">http://orcid.org/0000-0002-1468-6029</Identifier>
<AffiliationInfo><Affiliation>Université Clermont Auvergne, CNRS, LaPSCo, Physiological and Psychosocial Stress, CHU Clermont-Ferrand, University Hospital of Clermont-Ferrand, Occupational and Preventive Medicine, WittyFit, Clermont-Ferrand, France.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Australian Catholic University, Faculty of Health, Melbourne, Victoria, Australia.</Affiliation>
</AffiliationInfo>
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<Author ValidYN="Y"><LastName>Pereira</LastName>
<ForeName>Bruno</ForeName>
<Initials>B</Initials>
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<Author ValidYN="Y"><LastName>Moustafa</LastName>
<ForeName>Farès</ForeName>
<Initials>F</Initials>
<AffiliationInfo><Affiliation>CHU Clermont-Ferrand, University Hospital of Clermont-Ferrand, Emergency department, Clermont-Ferrand, France.</Affiliation>
</AffiliationInfo>
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<Author ValidYN="Y"><LastName>Naughton</LastName>
<ForeName>Geraldine</ForeName>
<Initials>G</Initials>
<AffiliationInfo><Affiliation>Australian Catholic University, Faculty of Health, Melbourne, Victoria, Australia.</Affiliation>
</AffiliationInfo>
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<Author ValidYN="Y"><LastName>Lesage</LastName>
<ForeName>François-Xavier</ForeName>
<Initials>FX</Initials>
<AffiliationInfo><Affiliation>University of Montpellier, Laboratory Epsylon EA 4556, Dynamic of Human Abilities & Health Behaviors, CHU Montpellier, University Hospital of Montpellier, Occupational and Preventive Medicine, Montpellier, France.</Affiliation>
</AffiliationInfo>
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<Author ValidYN="Y"><LastName>Lambert</LastName>
<ForeName>Céline</ForeName>
<Initials>C</Initials>
<AffiliationInfo><Affiliation>CHU Clermont-Ferrand, University Hospital of Clermont-Ferrand, the Clinical Research and Innovation Direction, Clermont-Ferrand, France.</Affiliation>
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<MeshHeadingList><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D004651" MajorTopicYN="N">Employment</DescriptorName>
<QualifierName UI="Q000523" MajorTopicYN="Y">psychology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
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<MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName>
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<MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D012307" MajorTopicYN="N">Risk Factors</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D013315" MajorTopicYN="N">Stress, Psychological</DescriptorName>
<QualifierName UI="Q000503" MajorTopicYN="N">physiopathology</QualifierName>
<QualifierName UI="Q000523" MajorTopicYN="Y">psychology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D011795" MajorTopicYN="N">Surveys and Questionnaires</DescriptorName>
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<MeshHeading><DescriptorName UI="D064232" MajorTopicYN="Y">Visual Analog Scale</DescriptorName>
</MeshHeading>
</MeshHeadingList>
</MedlineCitation>
<PubmedData><History><PubMedPubDate PubStatus="received"><Year>2015</Year>
<Month>01</Month>
<Day>21</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="accepted"><Year>2017</Year>
<Month>05</Month>
<Day>22</Day>
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<Month>6</Month>
<Day>7</Day>
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<ArticleIdList><ArticleId IdType="pubmed">28586383</ArticleId>
<ArticleId IdType="doi">10.1371/journal.pone.0178948</ArticleId>
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<affiliations><list><country><li>Australie</li>
<li>France</li>
</country>
<region><li>Auvergne (région administrative)</li>
<li>Auvergne-Rhône-Alpes</li>
<li>Languedoc-Roussillon</li>
<li>Occitanie (région administrative)</li>
</region>
<settlement><li>Clermont-Ferrand</li>
<li>Montpellier</li>
</settlement>
</list>
<tree><country name="France"><region name="Auvergne-Rhône-Alpes"><name sortKey="Dutheil, Frederic" sort="Dutheil, Frederic" uniqKey="Dutheil F" first="Frédéric" last="Dutheil">Frédéric Dutheil</name>
</region>
<name sortKey="Lambert, Celine" sort="Lambert, Celine" uniqKey="Lambert C" first="Céline" last="Lambert">Céline Lambert</name>
<name sortKey="Lesage, Francois Xavier" sort="Lesage, Francois Xavier" uniqKey="Lesage F" first="François-Xavier" last="Lesage">François-Xavier Lesage</name>
<name sortKey="Moustafa, Fares" sort="Moustafa, Fares" uniqKey="Moustafa F" first="Farès" last="Moustafa">Farès Moustafa</name>
<name sortKey="Pereira, Bruno" sort="Pereira, Bruno" uniqKey="Pereira B" first="Bruno" last="Pereira">Bruno Pereira</name>
</country>
<country name="Australie"><noRegion><name sortKey="Naughton, Geraldine" sort="Naughton, Geraldine" uniqKey="Naughton G" first="Geraldine" last="Naughton">Geraldine Naughton</name>
</noRegion>
</country>
</tree>
</affiliations>
</record>
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