6533b852fe1ef96bd12aa4b9
RESEARCH PRODUCT
Overcommitment as a predictor of effort-reward imbalance: evidence from an 8-year follow-up study.
Johanna RantanenTaru FeldtUlla KinnunenKatriina HyvönenAnne MäkikangasMari Huhtalasubject
AdultMaleLongitudinal studypredictorWorkloadStructural equation modelingJob Satisfaction03 medical and health sciences0302 clinical medicineRewardRisk Factorseffort–reward imbalanceSurveys and Questionnaires0502 economics and businesseffort–reward imbalance modelHumansLongitudinal StudiesRisk factorta515FinlandOccupational HealthCausal modeljob strainModels StatisticalJob strain05 social sciencesPublic Health Environmental and Occupational HealthERI modelWorkloadfollow-up studyReciprocal determinism030210 environmental & occupational healthERIJob satisfactionFemaleseurantatutkimusPublic aspects of medicineRA1-1270Psychologycross-lagged analysis050203 business & managementovercommitmentStress PsychologicalDemographyFollow-Up Studiesdescription
Objective The effort–reward imbalance (ERI) model includes the personal characteristic of overcommitment (OC) and the job-related characteristics of effort, reward, and ERI, all of which are assumed to play a role in an employee’s health and well-being at work. The aim of the present longitudinal study was to shed more light on the dynamics of the ERI model by investigating the basic hypotheses related to the role of OC in the model, ie, to establish whether an employee’s OC could be a risk factor for an increased experience of high effort, low reward, and high ERI at work. Methods The study was based on 5-wave, 8-year follow-up data collected among Finnish professionals in 2006 (T1, N=747), 2008 (T2, N=422), 2010 (T3, N=368), 2012 (T4, N=325), and 2014 (T5, N=273). The participants were mostly male (85% at T1) and the majority of them worked in technical fields. OC, effort, reward, and ERI were measured at each time point with the 23-item ERI scale. Results Three cross-lagged structural equation models (SEM) were estimated and compared by using full information maximum likelihood method: (i) OC predicted later experiences of effort, reward, and ERI (normal causation model), (ii) effort, reward, and ERI predicted later OC (reversed causation model), and (iii) associations in normal causal and reversed causal models were simultaneously valid (reciprocal causation model). The results supported the normal causation model: strong OC predicted later experiences of high effort, low reward and high ERI. Conclusions High OC is a risk factor for an increased experience of job strain factors; that is, high effort, low reward, and high ERI. Thus, OC is a risk factor not only for an employee’s well-being and health but also for an increasing risk for perceiving adverse job strain factors in the working environment.
year | journal | country | edition | language |
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2016-01-01 | Scandinavian journal of work, environmenthealth |