Academic Journal
How to Identify and Prioritize Psychosocial Factors Impacting Stress Level.
| Title: | How to Identify and Prioritize Psychosocial Factors Impacting Stress Level. |
|---|---|
| Authors: | Hocine, Mounia N., Aït Bouziad, Karim, Légeron, Patrick, Dab, William, Saporta, Gilbert |
| Source: | PLoS ONE; 6/15/2016, Vol. 11 Issue 6, p1-11, 11p |
| Subject Terms: | Psychosocial factors, Data analysis, Job Control Language (Computer program language), Structural equation modeling, Likert scale |
| Abstract: | We develop a methodological approach to identify and prioritize psychosocial factors (stressors) requiring priority action to reduce stress levels. Data analysis was carried out on a random sample of 10 000 French employees who completed, during a routine interview with the occupational physician, a 25-item questionnaire about stress levels, as well as a questionnaire about 58 stressors grouped into 5 latent variables: job control, job context, relationships at work, tasks performed and recognition. Our method combines Importance-Performance Analysis, a valuable approach for prioritizing improvements in the quality of services, with Partial Least Squares-Path modeling, a Structural Equation Modeling approach widely applied in psychosocial research. Findings on our data suggest two areas worthy of attention: one with five stressors on which decision makers should concentrate, and another with five stressors that managers should leave alone when acting to reduce stress levels. We show that IPA is robust when answers to questions are dichotomized, as opposed to the initial 6-point Likert scale. We believe that our approach will be a useful tool for experts and decision-makers in the field of stress management and prevention. [ABSTRACT FROM AUTHOR] |
| Copyright of PLoS ONE is the property of Public Library of Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Complementary Index |
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| Items | – Name: Title Label: Title Group: Ti Data: How to Identify and Prioritize Psychosocial Factors Impacting Stress Level. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Hocine%2C+Mounia+N%2E%22">Hocine, Mounia N.</searchLink><br /><searchLink fieldCode="AR" term="%22Aït+Bouziad%2C+Karim%22">Aït Bouziad, Karim</searchLink><br /><searchLink fieldCode="AR" term="%22Légeron%2C+Patrick%22">Légeron, Patrick</searchLink><br /><searchLink fieldCode="AR" term="%22Dab%2C+William%22">Dab, William</searchLink><br /><searchLink fieldCode="AR" term="%22Saporta%2C+Gilbert%22">Saporta, Gilbert</searchLink> – Name: TitleSource Label: Source Group: Src Data: PLoS ONE; 6/15/2016, Vol. 11 Issue 6, p1-11, 11p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Psychosocial+factors%22">Psychosocial factors</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Job+Control+Language+%28Computer+program+language%29%22">Job Control Language (Computer program language)</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+equation+modeling%22">Structural equation modeling</searchLink><br /><searchLink fieldCode="DE" term="%22Likert+scale%22">Likert scale</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: We develop a methodological approach to identify and prioritize psychosocial factors (stressors) requiring priority action to reduce stress levels. Data analysis was carried out on a random sample of 10 000 French employees who completed, during a routine interview with the occupational physician, a 25-item questionnaire about stress levels, as well as a questionnaire about 58 stressors grouped into 5 latent variables: job control, job context, relationships at work, tasks performed and recognition. Our method combines Importance-Performance Analysis, a valuable approach for prioritizing improvements in the quality of services, with Partial Least Squares-Path modeling, a Structural Equation Modeling approach widely applied in psychosocial research. Findings on our data suggest two areas worthy of attention: one with five stressors on which decision makers should concentrate, and another with five stressors that managers should leave alone when acting to reduce stress levels. We show that IPA is robust when answers to questions are dichotomized, as opposed to the initial 6-point Likert scale. We believe that our approach will be a useful tool for experts and decision-makers in the field of stress management and prevention. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of PLoS ONE is the property of Public Library of Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pone.0157078 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 1 Subjects: – SubjectFull: Psychosocial factors Type: general – SubjectFull: Data analysis Type: general – SubjectFull: Job Control Language (Computer program language) Type: general – SubjectFull: Structural equation modeling Type: general – SubjectFull: Likert scale Type: general Titles: – TitleFull: How to Identify and Prioritize Psychosocial Factors Impacting Stress Level. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hocine, Mounia N. – PersonEntity: Name: NameFull: Aït Bouziad, Karim – PersonEntity: Name: NameFull: Légeron, Patrick – PersonEntity: Name: NameFull: Dab, William – PersonEntity: Name: NameFull: Saporta, Gilbert IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 06 Text: 6/15/2016 Type: published Y: 2016 Identifiers: – Type: issn-print Value: 19326203 Numbering: – Type: volume Value: 11 – Type: issue Value: 6 Titles: – TitleFull: PLoS ONE Type: main |
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