Work overload, burnout, and psychological ill-health symptoms: A three-wave mediation model of the employee health impairment process

Anxiety, Stress and Coping

Volumn 29, Issue 4, 2015, Pages 387-399

  de Beer, Leon T ^a   Pienaar, Jaco ^a   Rothmann, Sebastiaan ^a  

^a NORTH WEST UNIVERSITY   (South Africa)

Author keywords

Burnout; Health impairment process; Indirect effect; Job demands; Longitudinal mediation

Indexed keywords

BURNOUT; EMPLOYEE; HUMAN; HUMAN TISSUE; MAJOR CLINICAL STUDY; PSYCHOLOGICAL MODEL; QUANTITATIVE STUDY; STATISTICS; STRUCTURAL EQUATION MODELING; SYMPTOM; WELLBEING; ADULT; FEMALE; LONGITUDINAL STUDY; MALE; MENTAL DISEASE; PSYCHOLOGY; QUESTIONNAIRE; SOUTH AFRICA; STATISTICS AND NUMERICAL DATA; WORKLOAD;

ADULT; BURNOUT, PROFESSIONAL; FEMALE; HUMANS; LONGITUDINAL STUDIES; MALE; MENTAL DISORDERS; SOUTH AFRICA; SURVEYS AND QUESTIONNAIRES; WORKLOAD;

EID: 84936970800     PISSN: 10615806     EISSN: 14772205     Source Type: Journal    
DOI: 10.1080/10615806.2015.1061123     Document Type: Article

References (63)

1. Asparouhov, T., & Muthén, B. O. (2010a). Bayesian analysis using Mplus. Technical appendix. Retrieved from https://www.statmodel.com/download/Bayes3.pdf
2. Asparouhov, T., & Muthén, B. (2010b). Bayesian analysis of latent variable models using Mplus. Retrieved from http://www.statmodel.com/download/BayesAdvantages18.pdf
3. Awa, W. L., Plaumann, M., & Walter, U. (2010). Burnout prevention: A review of intervention programs. Patient Education and Counseling, 78, 184-190. doi:10.1016/j.pec.2009.04.008
4. Bakker, A. B., & Costa, P.L. (2014). Chronic job burnout and daily functioning: A theoretical analysis. Burnout Research, 1, 112-119. doi:10.1016/j.burn.2014.04.003
5. Bakker, A. B., & Demerouti, E. (2007). The job demands-resources model: State of the art. Journal of Managerial Psychology, 22, 309-328. doi:10.1108/02683940710733115
6. Bakker, A. B., Demerouti, E., De Boer, E., & Schaufeli, W. (2003). Job demands and job resources as predictors of absence duration and frequency. Journal of Vocational Behavior, 62, 341-356. doi:10.1016/S0001-8791(02)00030-1
7. Bakker, A. B., Demerouti, E., & Euwema, M. C. (2005). Job resources buffer the impact of job demands on burnout. Journal of Occupational Health Psychology, 10, 170-180. doi:10.1037/1076-8998.10.2.170
8. Bakker, A. B., Demerouti, E., & Sanz-Vergel, A. I. (2014). Burnout and work engagement: The JD-R approach. Annual Reviews in Organizational Psychology and Organizational Behavior, 1, 389-411. doi:10.1146/annurev-orgpsych-031413-091235
9. Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51, 1173-1182. doi:10.1037/h0046016
10. Bianchi, R., Schonfeld, I. S., & Laurent, E. (2015a). Burnout-depression overlap: A review. Clinical Psychology Review, 36, 28-41. doi:10.1016/j.cpr.2015.01.004
11. Bianchi, R., Schonfeld, I. S., & Laurent, E. (2015b). Burnout: Absence of binding diagnostic criteria hampers prevalence estimates. International Journal of Nursing Studies, 52, 789-790. doi:10.1016/j.ijnurstu.2014.12.008
12. Cohen, J. (1992). Quantitative methods in psychology: A power primer. Psychological Bulletin, 112(1), 155-159. doi:10. 1037/0033-2909.112.1.155
13. Cumming, G., & Finch, S. (2005). Inference by eye: Confidence intervals and how to read pictures of data. American Psychologist, 60, 170-180. doi:10.1037/0003-66X.60.2.170 De
14. Beer, L., Pienaar, J., & Rothmann Jr., S. (2013). Linking employee burnout to medical aid provider expenditure. South African Medical Journal, 103, 89-93. doi:10.7196/samj.6060 De
15. Beer, L., Rothmann Jr., S., & Pienaar, J. (2012). A confirmatory investigation of a job demands-resources model using a categorical estimator. Psychological Reports, 111, 528-544. doi:10.2466/01.03.10.PR0.111.5.528-544
16. Demerouti, E., & Bakker, A. B. (2011). The job demands-resources model: Challenges for future research. SA Journal of Industrial Psychology, 37, 1-9. doi:10.4102/sajip.v37i2.974
17. Demerouti, E., Bakker, A. B., Nachreiner, F., & Schaufeli, W. B. (2001). The job demands-resources model of burnout. Journal of Applied Psychology, 86, 499-512. doi:10.1037/0021-9010.86.3.499
18. Ekstedt, M. (2005). Burnout and sleep. Retrieved from http://perski.se/pub/thesisMiriam.pdf
19. Ekstedt, M., Söderström, M., Åkerstedt, T., Nilsson, J., Søndergaard, H. P., & Aleksander, P. (2006). Disturbed sleep and fatigue in occupational burnout. Scandinavian Journal of Work, Environment & Health, 32, 121-131. doi:10.5271/sjweh.987
20. Ford, M. T., Matthews, R. A., Wooldridge, J. D., Mishra, V., Kakar, U. M., & Strahan, S. R. (2014). How do occupational stressorstrain effects vary with time? A review and meta-analysis of the relevance of time lags in longitudinal studies. Work & Stress, 28, 9-30. doi:10.1080/02678373.2013.877096
21. Hakanen, J., Bakker, A. B., & Schaufeli, W. B. (2006). Burnout and work engagement among teachers. The Journal of School Psychology, 43, 495-513. doi:10.1016/j.jsp.2005.11.001
22. Hakanen, J. J., Schaufeli, W. B., & Ahola, K. (2008). The job demands-resources model: A three-year cross-lagged study of burnout, depression, commitment, and work engagement. Work & Stress, 22, 224-241. doi:10.1080/ 02678370802379432
23. Kaplan, D., & Depaoli, S. (2012). Bayesian structural equation modeling. In R. H. Hoyle (Ed.), Handbook of structural equation modeling (pp. 650-673). New York, NY: Guilford Press.
24. Kuoppala, J., Lamminpää, A., & Husman, P. (2008). Work health promotion, job well-being, and sickness absences-a systematic review and meta-analysis. Journal of Occupational and Environmental Medicine, 50, 1216-1227. doi:10.1097/ JOM.0b013e31818dbf92
25. Lee, R. T., & Ashforth, B. E. (1996). A meta-analytic examination of the correlates of the three dimensions of job burnout. Journal of Applied Psychology, 81, 123-133. doi:10.1037/0021-9010.81.2.123
26. Lewig, K. A., Xanthopoulou, D., Bakker, A. B., Dollard, M. F., & Metzer, J. C. (2007). Burnout and connectedness among Australian volunteers: A test of the job demands-resources model. Journal of Vocational Behavior, 71, 429-445. doi:10.1016/j.jvb.2007.07.003
27. MacKinnon, D. P., Lockwood, C. M., & Williams, J. (2004). Confidence limits for the indirect effect: Distribution of the product and resampling methods. Multivariate Behavioral Research, 39, 99-128. doi:10.1207/s15327906mbr3901_4
28. Manichaikul, A., Dupuis, J., Sen, Ś., & Broman, K. W. (2006). Poor performance of bootstrap confidence intervals for the location of a quantitative trait locus. Genetics, 174, 481-489. doi:10.1534/genetics.106.061549
29. Maslach, C. (1982). Burnout-The cost of caring. Englewood Cliffs, NJ: Spectrum.
30. Maslach, C., Jackson, S. E., & Leiter, M. P. (1996). Maslach burnout inventory manual (3rd ed.). Palo Alto, CA: Consulting Psychologists Press.
31. Maxwell, S. E., Cole, D. A., & Mitchell, M. A. (2011). Bias in cross-sectional analyses of longitudinal mediation: Partial and complete mediation under an autoregressive model. Multivariate Behavioral Research, 46, 816-841. doi:10.1080/ 00273171.2011.606716
32. Melamed, S., Shirom, A., Toker, S., & Shapira, I. (2006). Burnout and risk of type 2 diabetes: A prospective study of apparently healthy employed persons. Psychosomatic Medicine, 68, 863-869. doi:10.1097/01.psy.0000242860.24009.f0
33. Melamed, S., Ugarten, U., Shirom, A., Kahana, L., Lerman, Y., & Froom, P. (1999). Chronic burnout, somatic arousal and elevated salivary cortisol levels. Journal of Psychosomatic Research, 46, 591-598. doi:10.1016/S0022-3999(99)00007-0
34. Mészáros, V., Ádám, S., Szabó, M., Szigeti, R., & Urbán, R. (2014). The bifactor model of the Maslach Burnout Inventory-Human Services Survey (MBI-HSS)-An alternative measurement model of burnout. Stress and Health, 30, 82-88. doi:10.1371/journal.pone.0114987
35. Michie, S., & Williams, S. (2003). Reducing work related psychological ill health and sickness absence: A systematic literature review. Occupational and Environmental Medicine, 60, 3-9. doi:10.1136/oem.60.1.3. PMCID: PMC1740370
36. Mommersteeg, P., Heijnen, C. J., Verbraak, M. J., & van Doornen, L. J. (2006). A longitudinal study on cortisol and complaint reduction in burnout. Psychoneuroendocrinology, 31, 793-804. doi:10.1016/j.psyneuen.2006.03.003
37. Montgomery, A., Mostert, K., & Jackson, L. (2005). Burnout and health of primary school educators in the North West Province. South African Journal of Education, 25, 266-272. doi:10.1002/smi.1098
38. Muthén, L. K., & Muthén, B. O. (2014). Mplus user’s guide (7th ed.). Los Angeles, CA: Author.
39. Ployhart, R. E., & Ward, A. K. (2011). The ‘quick start guide’ for conducting and publishing longitudinal research. Journal of Business and Psychology, 26, 413-422. doi:10.1007/S10869-01.1-9209-6
40. Raison, C. L., & Miller, A. H. (2003). When not enough is too much: the role of insufficient glucocorticoid signaling in the pathophysiology of stress-related disorders. American Journal of Psychiatry, 160, 1554-1565. doi:10.1176/appi.ajp.160. 9.1554
41. Reichardt, C. S. (2011). Commentary: Are three waves of data sufficient for assessing mediation. Multivariate Behavioral Research, 46, 842-851. doi:10.1080/00273171.2011.606740
42. Rothmann, S., & Essenko, N. (2007). Job characteristics, optimism, burnout, and ill health of support staff in a higher education institution in South Africa. South African Journal of Psychology, 37, 135-152. doi:10.1177/008124630703700110
43. Rothmann, S., & Rothmann, J. C. (2007). The South African employee health and wellness survey (SAEHWS) user manual (4th ed.). Potchefstroom: Afriforte.
44. Rucker, D. D., Preacher, K. J., Tormala, Z. L., & Petty, R. E. (2011). Mediation analysis in social psychology: Current practices and new recommendations. Social and Personality Psychology Compass, 5, 359-371. doi:10.1111/j.1751-9004.2011. 00355.x
45. Schaufeli, W. B. (2003). Past performance and future perspectives of burnout research. South African Journal of Industrial Psychology, 29, 1-15. doi:10.4102/sajip.v29i4.127
46. Schaufeli, W. B., & Bakker, A. B. (2004). Job demands, job resources, and their relationship with burnout and engagement: A multi-sample study. Journal of Organizational Behavior, 25, 293-315. doi:10.1002/job.248
47. Schaufeli, W. B., Bakker, A. B., Hoogduin, K., Schaap, C., & Kladler, A. (2001). On the clinical validity of the Maslach Burnout Inventory and the Burnout Measure. Psychology & Health, 16, 565-582. doi:10.1007/s11325-015-1162-6
48. Schaufeli, W. B., & Buunk, B. P. (2002). Burnout: An overview of 25 years of research and theorizing. In M. Schabracq, J. A. M. Winnubst, & C. L. Cooper (Eds.), The handbook of work & health psychology (2nd ed., pp. 282-424), Chichester: Wiley.
49. Schaufeli, W. B., Leiter, M. P., & Maslach, C. (2009). Burnout: 35 years of research and practice. Career Development International, 14, 204-220. doi:10.1108/13620430910966406
50. Schaufeli, W. B., & Taris, T. W. (2005). The conceptualization and measurement of burnout: Common ground and worlds apart. Work & Stress, 19, 256-262. doi:10.1080/02678370500385913
51. Selig, J. P., & Preacher, K. J. (2009). Mediation models for longitudinal data in developmental research. Research in Human Development, 6, 144-164. doi:10.1080/15427600902911247
52. Sobel, M. E. (1982). Asymptotic intervals for indirect effects in structural equations models. In S. Leinhart (Ed.), Sociological methodology (pp. 290-312). San Francisco, CA: Jossey-Bass.
53. Taris, T. W., & Kompier, M. A. (2006). Games researchers play-Extreme-groups analysis and mediation analysis in longitudinal occupational health research. Scandinavian Journal of Work, Environment & Health, 32, 463-472. doi:10.5271/ sjweh.1051
54. Taris, T. W., & Kompier, M. A. (2014). Cause and effect: Optimizing the designs of longitudinal studies in occupational health psychology. Work & Stress, 28, 1-8. doi:10.1080/02678373.2014.878494
55. Timmons, A. C., & Preacher, K. J. (2015). The importance of temporal design: How do measurement intervals affect the accuracy and efficiency of parameter estimates in longitudinal research? Multivariate Behavioral Research, 50, 41-55. doi:10.1080/00273171.2014.961056
56. Toppinen-Tanner, S., Kalimo, R., & Mutanen, P. (2002). The process of burnout in white-collar and blue-collar jobs: Eightyear prospective study of exhaustion. Journal of Organizational Behavior, 23, 555-570. doi:10.1002/job.155 Van de
57. Schoot, R., & Depaoli, S. (2014). Bayesian analyses: Where to start and what to report. European Health Psychologist, 16, 75-84. doi:10.1016/j.bodyim.2013.03.002 Van de
58. Schoot, R., Lugtig, P., & Hox, J. (2012). A checklist for testing measurement invariance. European Journal of Developmental Psychology, 9, 486-492. doi:10.1080/17405629.2012.686740
59. Williams, J., & MacKinnon, D. P. (2008). Resampling and distribution of the product methods for testing indirect effects in complex models. Structural Equation Modeling: A Multidisciplinary Journal, 15, 23-51. doi:10.1080/10705510701758166
60. Xanthopoulou, D., Sanz-Vergel, A. I., & Demerouti, E. (2014). Reconsidering the daily recovery process: New insights and related methodological challenges. In S. Leka & R. R. Sinclair (Eds.), Contemporary occupational health psychology (Vol. 3, pp. 51-67). Chichester: Wiley.
61. Yuan, Y., & MacKinnon, D. P. (2009). Bayesian mediation analysis. Psychological Methods, 14, 301-322. doi:10.1037/ a0016972
62. Zhao, X., Lynch, J. G., & Chen, Q. (2010). Reconsidering Baron and Kenny: Myths and truths about mediation analysis. Journal of Consumer Research, 37, 197-206. doi:10.1086/651257
63. Zyphur, M. J., & Oswald, F. L. (2013). Bayesian probability and statistics in management research a new horizon. Journal of Management, 39, 5-13. doi:10.1177/0149206312463183