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      Association of Job Demands with Work Engagement of Japanese Employees: Comparison of Challenges with Hindrances (J-HOPE)

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          Abstract

          Objectives

          Recent epidemiological research in Europe has reported that two groups of job demands, i.e., challenges and hindrances, are differently associated with work engagement. The purpose of the present study was to replicate the cross-sectional association of workload and time pressure (as a challenge) and role ambiguity (as a hindrance) with work engagement among Japanese employees.

          Methods

          Between October 2010 and December 2011, a total of 9,134 employees (7,101 men and 1,673 women) from 12 companies in Japan were surveyed using a self-administered questionnaire comprising the Job Content Questionnaire, National Institute for Occupational Safety and Health Generic Job Stress Questionnaire, short 10-item version of the Effort-Reward Imbalance Questionnaire, short nine-item version of the Utrecht Work Engagement Scale, and demographic characteristics. Multilevel regression analyses with a random intercept model were conducted.

          Results

          After adjusting for demographic characteristics, workload and time pressure showed a positive association with work engagement with a small effect size (standardized coefficient [ β] = 0.102, Cohen’s d [ d] = 0.240) while role ambiguity showed a negative association with a large effect size ( β = −0.429, d = 1.011). After additionally adjusting for job resources (i.e., decision latitude, supervisor support, co-worker support, and extrinsic reward), the effect size of workload and time pressure was not attenuated ( β = 0.093, d = 0.234) while that of role ambiguity was attenuated but still medium ( β = −0.242, d = 0.609).

          Conclusions

          Among Japanese employees, challenges such as having higher levels of workload and time pressure may enhance work engagement but hindrances, such as role ambiguity, may reduce it.

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          Most cited references10

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          Adverse health effects of high-effort/low-reward conditions.

          J Siegrist (1996)
          In addition to the person-environment fit model (J. R. French, R. D. Caplan, & R. V. Harrison, 1982) and the demand-control model (R. A. Karasek & T. Theorell, 1990), a third theoretical concept is proposed to assess adverse health effects of stressful experience at work: the effort-reward imbalance model. The focus of this model is on reciprocity of exchange in occupational life where high-cost/low-gain conditions are considered particularly stressful. Variables measuring low reward in terms of low status control (e.g., lack of promotion prospects, job insecurity) in association with high extrinsic (e.g., work pressure) or intrinsic (personal coping pattern, e.g., high need for control) effort independently predict new cardiovascular events in a prospective study on blue-collar men. Furthermore, these variables partly explain prevalence of cardiovascular risk factors (hypertension, atherogenic lipids) in 2 independent studies. Studying adverse health effects of high-effort/low-reward conditions seems well justified, especially in view of recent developments of the labor market.
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            An empirical examination of self-reported work stress among U.S. managers.

            This study proposes that self-reported work stress among U.S. managers is differentially related (positively and negatively) to work outcomes depending on the stressors that are being evaluated. Specific hypotheses were derived from this general proposition and tested using a sample of 1,886 U.S. managers and longitudinal data. Regression results indicate that challenge-related self-reported stress is positively related to job satisfaction and negatively related to job search. In contrast, hindrance-related self-reported stress is negatively related to job satisfaction and positively related to job search and turnover. Future research directions are discussed.
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              Burnout and engagement at work as a function of demands and control.

              The present study was designed to test the demand-control model using indicators of both health impairment and active learning or motivation. A total of 381 insurance company employees participated in the study. Discriminant analysis was used to examine the relationship between job demands and job control on one hand and health impairment and active learning on the other. The amount of demands and control could be predicted on the basis of employees' perceived health impairment (exhaustion and health complaints) and active learning (engagement and commitment). Each of the four combinations of demand and control differentially affected the perception of strain or active learning. Job demands were the most clearly related to health impairment, whereas job control was the most clearly associated with active learning. These findings partly contradict the demand-control model, especially with respect to the validity of the interaction between demand and control. Job demands and job control seem to initiate two essentially independent processes, and this occurrence is consistent with the recently proposed job demands-resources model.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2014
                10 March 2014
                : 9
                : 3
                : e91583
                Affiliations
                [1 ]Department of Mental Health, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Japan, Kitakyushu, Japan
                [2 ]Department of Mental Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
                [3 ]Department of Public Health, Kitasato University School of Medicine, Sagamihara, Japan
                [4 ]Division of Clinical Epidemiology, Department of Clinical Research and Informatics, National Center for Global Health and Medicine, Tokyo, Japan
                [5 ]Health Administration and Psychosocial Factor Research Group, National Institute of Occupational Safety and Health, Japan, Kawasaki, Japan
                [6 ]Department of Health Policy and Management, Graduate School of Medical Science, University of Occupational and Environmental Health, Japan, Kitakyushu, Japan
                [7 ]Health Care Center, Central Japan Railway Company, Nagoya, Japan
                [8 ]Kosugi Health Management Office, Toyama, Japan
                [9 ]Department of Laboratory Medicine, Fukuoka Tokushukai Medical Center, Kasuga, Japan
                [10 ]Uchisaiwaicho Medical Center, Mizuho Health Insurance Society, Tokyo, Japan
                University of Utah, United States of America
                Author notes

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

                Conceived and designed the experiments: AI. Analyzed the data: AI. Collected the data: AI NK AT KM M. Takahashi SK HE KE YK TS TT. Interpretation of the data: AI NK AS M. Tsuchiya. Examined and critically contributed to and finally approved the manuscript: AI NK AT AS KM M. Takahashi SK HE M. Tsuchiya KE YK TS TT.

                Article
                PONE-D-13-40644
                10.1371/journal.pone.0091583
                3948913
                24614682
                342d5669-e8ad-4f1d-aed4-222f464ff1ca
                Copyright @ 2014

                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
                : 4 October 2013
                : 12 February 2014
                Page count
                Pages: 8
                Funding
                The present study was supported 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. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine
                Epidemiology
                Survey Methods
                Public Health
                Occupational and Industrial Health
                Social and Behavioral Sciences
                Economics
                Labor Economics
                Psychology
                Applied Psychology
                Industrial Psychology
                Behavior
                Emotions
                Human Performance
                Psychological Stress

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                Uncategorized

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