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      Is too much work engagement detrimental? Linear or curvilinear effects on mental health and job performance

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          Abstract

          Most studies report a positive relationship of work engagement with health and job performance, but, occasionally, a “dark side of engagement” has also been uncovered. The current study examined two hypotheses: whether work engagement has (1) a U-shaped curvilinear relation with psychological distress and (2) an inverted U-shaped curvilinear relation with job performance (i.e., in-role performance and creative behavior). A two-wave longitudinal Internet survey with a time lag of seven months was conducted among 1,967 Japanese employees. To test our hypotheses, we used a two-wave panel design and examined the lagged and concurrent relations between work engagement and both outcomes. The results confirmed that work engagement had a curvilinear relation with psychological distress concurrently; a favorable effect was found initially, but this disappeared at intermediate levels of work engagement, and, at higher levels, an adverse effect became prominent. In addition, work engagement had a curvilinear relation with in-role performance both concurrently and longitudinally; the higher the levels of work engagement, the stronger the favorable effects on in-role performance. However, contrary to our expectations, work engagement had a linear relation with psychological distress longitudinally and with creative behavior both concurrently and longitudinally. Hence, our results suggest that work engagement plays a different role in health enhancement compared to performance enhancement. Leveling-off and adverse effects of high work engagement were observed for psychological distress in the short and not in a long run. In contrast, no leveling-off effect of high work engagement was observed for job performance. Thus, except for the short-term effect on psychological distress, no dark side of work engagement was observed for psychological distress and job performance.

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          Most cited references37

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          WORK ENGAGEMENT: A QUANTITATIVE REVIEW AND TEST OF ITS RELATIONS WITH TASK AND CONTEXTUAL PERFORMANCE

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            Compensatory control in the regulation of human performance under stress and high workload; a cognitive-energetical framework.

            This paper presents a cognitive-energetical framework for the analysis of effects of stress and high workload on human performance. Following Kahneman's (1973) model, regulation of goals and actions is assumed to require the operation of a compensatory control mechanism, which allocates resources dynamically. A two-level compensatory control model provides the basis for a mechanism of resource allocation through an effort monitor, sensitive to changes in the level of regulatory activity, coupled with a supervisory controller which can implement different modes of performance-cost trade-off. Performance may be protected under stress by the recruitment of further resources, but only at the expense of increased subjective effort, and behavioural and physiological costs. Alternatively, stability can be achieved by reducing performance goals, without further costs. Predictions about patterns of latent decrement under performance protection are evaluated in relation to the human performance literature. Even where no primary task decrements may be detected, performance may show disruption of subsidiary activities or the use of less efficient strategies, as well as increased psychophysiological activation, strain, and fatigue after-effects. Finally, the paper discusses implications of the model for the assessment of work strain, with a focus on individual-level patterns of regulatory activity and coping.
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              Longitudinal studies in organizational stress research: a review of the literature with reference to methodological issues.

              Demonstrating causal relationships has been of particular importance in organizational stress research. Longitudinal studies are typically suggested to overcome problems of reversed causation and third variables (e.g., social desirability and negative affectivity). This article reviews the empirical longitudinal literature and discusses designs and statistical methods used in these studies. Forty-three longitudinal field reports on organizational stress were identified. Most of the investigations used a 2-wave panel design and a hierarchical multiple regression approach. Six studies with 3 and more waves were found. About 50% of the studies analyzed potential strain-stressor (reversed causation) relationships. In about 33% of the studies there was some evidence of reverse causation. The power of longitudinal studies to rule out third variable explanations was not realized in many studies. Procedures of how to analyze longitudinal data are suggested.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: SupervisionRole: Writing – review & editing
                Role: Data curationRole: Writing – review & editing
                Role: Writing – review & editing
                Role: Funding acquisitionRole: Project administrationRole: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                26 December 2018
                2018
                : 13
                : 12
                : e0208684
                Affiliations
                [1 ] Center for Human and Social Sciences, College of Liberal Arts and Sciences, Kitasato University, Kanagawa, Japan
                [2 ] Asia Pacific Centre for Work Health and Safety, University of South Australia, Adelaide, Australia
                [3 ] Research Unit Occupational & Organizational Psychology and Professional Learning, KU Leuven, Leuven, Belgium
                [4 ] Department of Social and Organizational Psychology, Utrecht University, Utrecht, The Netherlands
                [5 ] Department of Biostatistics, Yokohama City University School of Medicine, Kanagawa, Japan
                [6 ] Department of Mental Health, The University of Tokyo Graduate School of Medicine, Tokyo, Japan
                University of East Anglia, UNITED KINGDOM
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0002-7172-0043
                Article
                PONE-D-17-06704
                10.1371/journal.pone.0208684
                6306155
                30586369
                5991eb03-5744-4407-bf47-d1fe206b6ff4
                © 2018 Shimazu et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 19 February 2017
                : 22 November 2018
                Page count
                Figures: 4, Tables: 5, Pages: 17
                Funding
                Funded by: the Ministry of Education, Culture, Sports, Science and Technology, Japan
                Award ID: 4102-21119001
                Award Recipient :
                This research was funded by a Grant-in-Aid for Scientific Research on Innovative Areas (Research in a Proposed Research Area) 2009-2013 (No. 4102-21119001) from the Ministry of Education, Culture, Sports, Science and Technology, Japan.
                Categories
                Research Article
                Social Sciences
                Economics
                Labor Economics
                Employment
                Jobs
                Medicine and Health Sciences
                Mental Health and Psychiatry
                Social Sciences
                Economics
                Labor Economics
                Employment
                Research and Analysis Methods
                Research Design
                Survey Research
                Surveys
                Medicine and Health Sciences
                Public and Occupational Health
                Behavioral and Social Aspects of Health
                Computer and Information Sciences
                Computer Networks
                Internet
                Physical Sciences
                Chemistry
                Chemical Compounds
                Organic Compounds
                Vitamins
                Physical Sciences
                Chemistry
                Organic Chemistry
                Organic Compounds
                Vitamins
                Research and Analysis Methods
                Mathematical and Statistical Techniques
                Statistical Methods
                Factor Analysis
                Physical Sciences
                Mathematics
                Statistics
                Statistical Methods
                Factor Analysis
                Custom metadata
                The data are restricted for ethical reasons, as we did not obtain informed consent from the participants to provide their data to a third party. The study protocol was approved by the ethical committee of The University of Tokyo. Data are available from the ethical committee of The University of Tokyo for researchers who meet the criteria for access to confidential data. Requests for data accession can be sent to the following email address: ethics@ 123456m.u-tokyo.ac.jp .

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