Workaholism and negative work-related incidents among nurses.
Identifieur interne : 000732 ( Main/Exploration ); précédent : 000731; suivant : 000733Workaholism and negative work-related incidents among nurses.
Auteurs : Cecilie Schou Andreassen [Norvège] ; St Le Pallesen [Norvège] ; Bente E. Moen [Norvège] ; Bj Rn Bjorvatn [Norvège] ; Siri Waage [Norvège] ; Wilmar B. Schaufeli [Belgique, Pays-Bas]Source :
- Industrial health [ 1880-8026 ] ; 2018.
Descripteurs français
- KwdFr :
- Adulte (MeSH), Adulte d'âge moyen (MeSH), Charge de travail (statistiques et données numériques), Comportement toxicomaniaque (complications), Comportement toxicomaniaque (épidémiologie), Envie de dormir (MeSH), Erreurs médicales (statistiques et données numériques), Facteurs sexuels (MeSH), Facteurs socioéconomiques (MeSH), Facteurs âges (MeSH), Femelle (MeSH), Humains (MeSH), Infirmières et infirmiers (statistiques et données numériques), Modèles logistiques (MeSH), Mâle (MeSH), Tolérance à l'horaire de travail (MeSH), État de santé (MeSH).
- MESH :
- statistiques et données numériques : Charge de travail, Erreurs médicales, Infirmières et infirmiers.
- épidémiologie : Comportement toxicomaniaque.
- complications : Adulte, Adulte d'âge moyen, Comportement toxicomaniaque, Envie de dormir, Facteurs sexuels, Facteurs socioéconomiques, Facteurs âges, Femelle, Humains, Modèles logistiques, Mâle, Tolérance à l'horaire de travail, État de santé.
English descriptors
- KwdEn :
- Adult (MeSH), Age Factors (MeSH), Behavior, Addictive (complications), Behavior, Addictive (epidemiology), Female (MeSH), Health Status (MeSH), Humans (MeSH), Logistic Models (MeSH), Male (MeSH), Medical Errors (statistics & numerical data), Middle Aged (MeSH), Nurses (statistics & numerical data), Sex Factors (MeSH), Sleepiness (MeSH), Socioeconomic Factors (MeSH), Work Schedule Tolerance (MeSH), Workload (statistics & numerical data).
- MESH :
- complications : Behavior, Addictive.
- epidemiology : Behavior, Addictive.
- statistics & numerical data : Medical Errors, Nurses, Workload.
- Adult, Age Factors, Female, Health Status, Humans, Logistic Models, Male, Middle Aged, Sex Factors, Sleepiness, Socioeconomic Factors, Work Schedule Tolerance.
Abstract
The present study comprised 1,781 nurses who participated in an investigation about working conditions, sleep, and health. They answered a questionnaire about age, sex, marital status, children living at home, work hours per week, number of night shifts last year, and total sleep duration and that also included a validated instrument assessing workaholism. In addition, they were asked to report on eight items concerning negative work-related incidents (dozed off at work, dozed while driving, harmed or nearly harmed self, harmed or nearly harmed patients/others, and harmed or nearly harmed equipment). Logistic regression analyses identified several predictors of these specific incidents: Low age (dozed at work, harmed and nearly harmed self, harmed and nearly harmed equipment), male sex (harmed and nearly harmed self, nearly harmed equipment), not living with children (harmed patients/others), low percentage of full-time equivalent (nearly harmed self and harmed patients/others), number of night shifts last year (dozed off at work and while driving, nearly harmed patients/others) and sleep duration (inversely related to dozed off at work and while driving, nearly harmed self). However, the most consistent predictor of negative work-related incidents was workaholism which was positively and significantly associated with all the eight incidents.
DOI: 10.2486/indhealth.2017-0223
PubMed: 29760300
PubMed Central: PMC6172179
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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Moen</name><affiliation wicri:level="1"><nlm:affiliation>Department of Global Public Health and Primary Care, University of Bergen, Norway.</nlm:affiliation><country xml:lang="fr">Norvège</country><wicri:regionArea>Department of Global Public Health and Primary Care, University of Bergen</wicri:regionArea><wicri:noRegion>University of Bergen</wicri:noRegion></affiliation></author><author><name sortKey="Bjorvatn, Bj Rn" sort="Bjorvatn, Bj Rn" uniqKey="Bjorvatn B" first="Bj Rn" last="Bjorvatn">Bj Rn Bjorvatn</name><affiliation wicri:level="1"><nlm:affiliation>Norwegian Competence Center for Sleep Disorders, Haukeland University Hospital, Norway.</nlm:affiliation><country xml:lang="fr">Norvège</country><wicri:regionArea>Norwegian Competence Center for Sleep Disorders, Haukeland University Hospital</wicri:regionArea><wicri:noRegion>Haukeland University Hospital</wicri:noRegion></affiliation><affiliation wicri:level="1"><nlm:affiliation>Department of Global Public Health and Primary Care, University of Bergen, Norway.</nlm:affiliation><country xml:lang="fr">Norvège</country><wicri:regionArea>Department of Global Public Health and Primary Care, University of Bergen</wicri:regionArea><wicri:noRegion>University of Bergen</wicri:noRegion></affiliation></author><author><name sortKey="Waage, Siri" sort="Waage, Siri" uniqKey="Waage S" first="Siri" last="Waage">Siri Waage</name><affiliation wicri:level="1"><nlm:affiliation>Norwegian Competence Center for Sleep Disorders, Haukeland University Hospital, Norway.</nlm:affiliation><country xml:lang="fr">Norvège</country><wicri:regionArea>Norwegian Competence Center for Sleep Disorders, Haukeland University Hospital</wicri:regionArea><wicri:noRegion>Haukeland University Hospital</wicri:noRegion></affiliation><affiliation wicri:level="1"><nlm:affiliation>Department of Global Public Health and Primary Care, University of Bergen, Norway.</nlm:affiliation><country xml:lang="fr">Norvège</country><wicri:regionArea>Department of Global Public Health and Primary Care, University of Bergen</wicri:regionArea><wicri:noRegion>University of Bergen</wicri:noRegion></affiliation></author><author><name sortKey="Schaufeli, Wilmar B" sort="Schaufeli, Wilmar B" uniqKey="Schaufeli W" first="Wilmar B" last="Schaufeli">Wilmar B. Schaufeli</name><affiliation wicri:level="1"><nlm:affiliation>Research Unit Occupational & Organizational Psychology and Professional Learning, KU Leuven, Belgium.</nlm:affiliation><country xml:lang="fr">Belgique</country><wicri:regionArea>Research Unit Occupational & Organizational Psychology and Professional Learning, KU Leuven</wicri:regionArea><wicri:noRegion>KU Leuven</wicri:noRegion></affiliation><affiliation wicri:level="4"><nlm:affiliation>Department of Psychology, Utrecht University, The Netherlands.</nlm:affiliation><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Department of Psychology, Utrecht University</wicri:regionArea><placeName><settlement type="city">Utrecht</settlement><region nuts="2">Utrecht (province)</region></placeName><orgName type="university">Université d'Utrecht</orgName></affiliation></author></analytic><series><title level="j">Industrial health</title><idno type="eISSN">1880-8026</idno><imprint><date when="2018" type="published">2018</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult (MeSH)</term><term>Age Factors (MeSH)</term><term>Behavior, Addictive (complications)</term><term>Behavior, Addictive (epidemiology)</term><term>Female (MeSH)</term><term>Health Status (MeSH)</term><term>Humans (MeSH)</term><term>Logistic Models (MeSH)</term><term>Male (MeSH)</term><term>Medical Errors (statistics & numerical data)</term><term>Middle Aged (MeSH)</term><term>Nurses (statistics & numerical data)</term><term>Sex Factors (MeSH)</term><term>Sleepiness (MeSH)</term><term>Socioeconomic Factors (MeSH)</term><term>Work Schedule Tolerance (MeSH)</term><term>Workload (statistics & numerical data)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adulte (MeSH)</term><term>Adulte d'âge moyen (MeSH)</term><term>Charge de travail (statistiques et données numériques)</term><term>Comportement toxicomaniaque (complications)</term><term>Comportement toxicomaniaque (épidémiologie)</term><term>Envie de dormir (MeSH)</term><term>Erreurs médicales (statistiques et données numériques)</term><term>Facteurs sexuels (MeSH)</term><term>Facteurs socioéconomiques (MeSH)</term><term>Facteurs âges (MeSH)</term><term>Femelle (MeSH)</term><term>Humains (MeSH)</term><term>Infirmières et infirmiers (statistiques et données numériques)</term><term>Modèles logistiques (MeSH)</term><term>Mâle (MeSH)</term><term>Tolérance à l'horaire de travail (MeSH)</term><term>État de santé (MeSH)</term></keywords><keywords scheme="MESH" qualifier="complications" xml:lang="en"><term>Behavior, Addictive</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Behavior, Addictive</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Medical Errors</term><term>Nurses</term><term>Workload</term></keywords><keywords scheme="MESH" qualifier="statistiques et données numériques" xml:lang="fr"><term>Charge de travail</term><term>Erreurs médicales</term><term>Infirmières et infirmiers</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Comportement toxicomaniaque</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adult</term><term>Age Factors</term><term>Female</term><term>Health Status</term><term>Humans</term><term>Logistic Models</term><term>Male</term><term>Middle Aged</term><term>Sex Factors</term><term>Sleepiness</term><term>Socioeconomic Factors</term><term>Work Schedule Tolerance</term></keywords><keywords scheme="MESH" qualifier="complications" xml:lang="fr"><term>Adulte</term><term>Adulte d'âge moyen</term><term>Comportement toxicomaniaque</term><term>Envie de dormir</term><term>Facteurs sexuels</term><term>Facteurs socioéconomiques</term><term>Facteurs âges</term><term>Femelle</term><term>Humains</term><term>Modèles logistiques</term><term>Mâle</term><term>Tolérance à l'horaire de travail</term><term>État de santé</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The present study comprised 1,781 nurses who participated in an investigation about working conditions, sleep, and health. They answered a questionnaire about age, sex, marital status, children living at home, work hours per week, number of night shifts last year, and total sleep duration and that also included a validated instrument assessing workaholism. In addition, they were asked to report on eight items concerning negative work-related incidents (dozed off at work, dozed while driving, harmed or nearly harmed self, harmed or nearly harmed patients/others, and harmed or nearly harmed equipment). Logistic regression analyses identified several predictors of these specific incidents: Low age (dozed at work, harmed and nearly harmed self, harmed and nearly harmed equipment), male sex (harmed and nearly harmed self, nearly harmed equipment), not living with children (harmed patients/others), low percentage of full-time equivalent (nearly harmed self and harmed patients/others), number of night shifts last year (dozed off at work and while driving, nearly harmed patients/others) and sleep duration (inversely related to dozed off at work and while driving, nearly harmed self). However, the most consistent predictor of negative work-related incidents was workaholism which was positively and significantly associated with all the eight incidents.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">29760300</PMID><DateCompleted><Year>2019</Year><Month>01</Month><Day>28</Day></DateCompleted><DateRevised><Year>2019</Year><Month>01</Month><Day>28</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1880-8026</ISSN><JournalIssue CitedMedium="Internet"><Volume>56</Volume><Issue>5</Issue><PubDate><Year>2018</Year><Month>Oct</Month><Day>03</Day></PubDate></JournalIssue><Title>Industrial health</Title><ISOAbbreviation>Ind Health</ISOAbbreviation></Journal><ArticleTitle>Workaholism and negative work-related incidents among nurses.</ArticleTitle><Pagination><MedlinePgn>373-381</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.2486/indhealth.2017-0223</ELocationID><Abstract><AbstractText>The present study comprised 1,781 nurses who participated in an investigation about working conditions, sleep, and health. They answered a questionnaire about age, sex, marital status, children living at home, work hours per week, number of night shifts last year, and total sleep duration and that also included a validated instrument assessing workaholism. In addition, they were asked to report on eight items concerning negative work-related incidents (dozed off at work, dozed while driving, harmed or nearly harmed self, harmed or nearly harmed patients/others, and harmed or nearly harmed equipment). Logistic regression analyses identified several predictors of these specific incidents: Low age (dozed at work, harmed and nearly harmed self, harmed and nearly harmed equipment), male sex (harmed and nearly harmed self, nearly harmed equipment), not living with children (harmed patients/others), low percentage of full-time equivalent (nearly harmed self and harmed patients/others), number of night shifts last year (dozed off at work and while driving, nearly harmed patients/others) and sleep duration (inversely related to dozed off at work and while driving, nearly harmed self). However, the most consistent predictor of negative work-related incidents was workaholism which was positively and significantly associated with all the eight incidents.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Andreassen</LastName><ForeName>Cecilie Schou</ForeName><Initials>CS</Initials><AffiliationInfo><Affiliation>Department of Clinical Psychology, University of Bergen, Norway.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Pallesen</LastName><ForeName>Ståle</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>Norwegian Competence Center for Sleep Disorders, Haukeland University Hospital, Norway.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Department of Psychosocial Science, University of Bergen, Norway.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Moen</LastName><ForeName>Bente E</ForeName><Initials>BE</Initials><AffiliationInfo><Affiliation>Department of Global Public Health and Primary Care, University of Bergen, Norway.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Bjorvatn</LastName><ForeName>Bjørn</ForeName><Initials>B</Initials><AffiliationInfo><Affiliation>Norwegian Competence Center for Sleep Disorders, Haukeland University Hospital, Norway.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Department of Global Public Health and Primary Care, University of Bergen, Norway.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Waage</LastName><ForeName>Siri</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>Norwegian Competence Center for Sleep Disorders, Haukeland University Hospital, Norway.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Department of Global Public Health and Primary Care, University of Bergen, Norway.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Schaufeli</LastName><ForeName>Wilmar B</ForeName><Initials>WB</Initials><AffiliationInfo><Affiliation>Research Unit Occupational & Organizational Psychology and Professional Learning, KU Leuven, Belgium.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Department of Psychology, Utrecht University, The Netherlands.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2018</Year><Month>05</Month><Day>15</Day></ArticleDate></Article><MedlineJournalInfo><Country>Japan</Country><MedlineTA>Ind Health</MedlineTA><NlmUniqueID>2985065R</NlmUniqueID><ISSNLinking>0019-8366</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000367" MajorTopicYN="N">Age Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D016739" MajorTopicYN="N">Behavior, Addictive</DescriptorName><QualifierName UI="Q000150" MajorTopicYN="N">complications</QualifierName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006304" MajorTopicYN="Y">Health Status</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D016015" MajorTopicYN="N">Logistic Models</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D019300" MajorTopicYN="N">Medical Errors</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009726" MajorTopicYN="N">Nurses</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D012737" MajorTopicYN="N">Sex Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000077260" MajorTopicYN="N">Sleepiness</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012959" MajorTopicYN="N">Socioeconomic Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014940" MajorTopicYN="Y">Work Schedule Tolerance</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D016526" MajorTopicYN="N">Workload</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Negative work-related incidents</Keyword><Keyword MajorTopicYN="N">Nurses</Keyword><Keyword MajorTopicYN="N">Sleep</Keyword><Keyword MajorTopicYN="N">Work hours</Keyword><Keyword MajorTopicYN="N">Workaholism</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="pubmed"><Year>2018</Year><Month>5</Month><Day>16</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2019</Year><Month>1</Month><Day>29</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2018</Year><Month>5</Month><Day>16</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">29760300</ArticleId><ArticleId IdType="doi">10.2486/indhealth.2017-0223</ArticleId><ArticleId IdType="pmc">PMC6172179</ArticleId></ArticleIdList><ReferenceList><Reference><Citation>J Appl Psychol. 2003 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last="Andreassen">Cecilie Schou Andreassen</name></noRegion><name sortKey="Bjorvatn, Bj Rn" sort="Bjorvatn, Bj Rn" uniqKey="Bjorvatn B" first="Bj Rn" last="Bjorvatn">Bj Rn Bjorvatn</name><name sortKey="Bjorvatn, Bj Rn" sort="Bjorvatn, Bj Rn" uniqKey="Bjorvatn B" first="Bj Rn" last="Bjorvatn">Bj Rn Bjorvatn</name><name sortKey="Moen, Bente E" sort="Moen, Bente E" uniqKey="Moen B" first="Bente E" last="Moen">Bente E. Moen</name><name sortKey="Pallesen, St Le" sort="Pallesen, St Le" uniqKey="Pallesen S" first="St Le" last="Pallesen">St Le Pallesen</name><name sortKey="Pallesen, St Le" sort="Pallesen, St Le" uniqKey="Pallesen S" first="St Le" last="Pallesen">St Le Pallesen</name><name sortKey="Waage, Siri" sort="Waage, Siri" uniqKey="Waage S" first="Siri" last="Waage">Siri Waage</name><name sortKey="Waage, Siri" sort="Waage, Siri" uniqKey="Waage S" first="Siri" last="Waage">Siri Waage</name></country><country name="Belgique"><noRegion><name sortKey="Schaufeli, Wilmar B" sort="Schaufeli, Wilmar B" uniqKey="Schaufeli W" first="Wilmar B" last="Schaufeli">Wilmar B. Schaufeli</name></noRegion></country><country name="Pays-Bas"><region name="Utrecht (province)"><name sortKey="Schaufeli, Wilmar B" sort="Schaufeli, Wilmar B" uniqKey="Schaufeli W" first="Wilmar B" last="Schaufeli">Wilmar B. Schaufeli</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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