Please use this identifier to cite or link to this item: https://www.arca.fiocruz.br/handle/icict/22809
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dc.contributor.authorGriep, Rosane Härter
dc.contributor.authorRotenberg, Lúcia
dc.contributor.authorChor, Dora
dc.contributor.authorToivanen, Susanna
dc.contributor.authorLandsbergis, Paul
dc.date.accessioned2017-10-10T12:28:05Z
dc.date.available2017-10-10T12:28:05Z
dc.date.issued2010
dc.identifier.citationHÄRTER, Rosane Griep; et al. Beyond simple approaches to studying the association between work characteristics and absenteeism: Combining the DCS and ERI models. Work & Stress, v.24, n.2, p.179-195, 2010.
dc.identifier.issn0267-8373
dc.identifier.urihttps://www.arca.fiocruz.br/handle/icict/22809
dc.language.isoeng
dc.publisherTaylor & Francis
dc.rightsrestricted access
dc.subject.otherCondições de trabalho
dc.subject.otherAbsenteísmo
dc.subject.otherSaúde do Trabalhador
dc.subject.otherEstresse relacionado ao trabalho
dc.subject.otherEnfermeiros
dc.subject.otherModelos de estresse
dc.titleBeyond simple approaches to studying the association between work characteristics and absenteeism: Combining the DCS and ERI models
dc.typeArticle
dc.identifier.doi10.1080/02678373.2010.493083
dc.description.abstractenThe Demand-Control-Support (DCS) and the Effort-Reward Imbalance (ERI) models assess different psychosocial factors. This study investigates whether a combination of these models increases their ability to predict sickness absence, as compared to results based on each model separately. A cross-sectional study with nursing personnel (N 1307) in Brazil was performed. Regression analyses were conducted in three stages: analysis of each scale of the models and sickness absences; assessment of the independent association of each model with sickness absences; assessment of the associations of three combinations of models/scales with sickness absences: DCand social support (SS), ERI and overcommitment, andDC and ERI. As regards comparisons between the stress models, ERI was shown to be independently associated with short (up to 9 days) and long (10 days or more) spells of absenteeism. The same result held true for low social support. The combinations DC-ERI and DC-SS were better predictors for short spells than each model/scale separately, whereas for long spells, the combination DC-SS was the best predictor. ERI seems to be a good instrument for predicting absenteeism if used alone, whereas DC performed better when combined with ERI or SS. An improved risk estimation of sickness absences by combining information from the two models was observed.
dc.creator.affilliationFundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Educação em Ambiente e Saúde. Rio de Janeiro, RJ. Brasil.
dc.creator.affilliationFundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Educação em Ambiente e Saúde. Rio de Janeiro, RJ. Brasil.
dc.creator.affilliationFundação Oswaldo Cruz. Escola Nacional de Saúde Pública Sergio Arouca. Departamento de Epidemiologia. Rio de Janeiro, RJ. Brasil.
dc.creator.affilliationStockholm University/Karolinska Institutet. Centre for Health Equity Studies. Stockholm, Sweden.
dc.creator.affilliationState University of New York-Downstate Medical Center. Department of Environmental and Occupational Health Sciences. New York, NY, USA.
dc.subject.enabsenteeism
dc.subject.enwork-related stress
dc.subject.enstress models
dc.subject.ennurses
dc.subject.enoccupational health
dc.subject.enworking conditions
dc.identifier.eissn1464-5335
Appears in Collections:ENSP - Artigos de Periódicos
IOC - Artigos de Periódicos

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