counterproductive behaviors at work; health; job demands; job resources; job satisfaction; job turnover intention; Cross-Sectional Studies; Humans; Job Satisfaction; Longitudinal Studies; Personnel Turnover; Surveys and Questionnaires; Burnout, Professional; Pollution; Public Health, Environmental and Occupational Health; Health, Toxicology and Mutagenesis
Abstract :
[en] The goal of the present paper was to develop a valid and reliable instrument to operationalize the balance between job demands and resources in order to predict job burnout. After generating the items, we first conducted a cross-sectional study (Study 1) based on 656 participants, which provided preliminary evidence for the validity of the balance. We then conducted a longitudinal study (Study 2) based on 882 participants to improve and validate the final version of the balance. In study 1, the (im)balance between risks and resources explained a high percentage of variance in job burnout (44%) and a significant percentage in job turnover intention (27%) as well as subjective health (12%). In study 2, results indicated that a change in the balance produced significant change in job burnout scores over time. In addition, balance scores positively predicted positive outcomes (i.e., overall job satisfaction and subjective health) and negatively predicted negative outcomes (i.e., job turnover intention, counterproductive behaviors at work, depression, alcohol use, sleep disorders and somatic complaints). Findings support the usefulness of the Balance for clinicians, companies and researchers interested in assessing job demands and resources.
Disciplines :
Theoretical & cognitive psychology
Author, co-author :
Bebiroglu, Neda; Psychological Sciences Research Institute, Université Catholique de Louvain, 1348 Louvain-la-Neuve, Belgium ; Observatory of Research and Scientific Careers-F.R.S.-FNRS, 1000 Brussels, Belgium
Bayot, Marie ; Université de Liège - ULiège > Département des sciences cliniques > Médecine générale ; Psychological Sciences Research Institute, Université Catholique de Louvain, 1348 Louvain-la-Neuve, Belgium
Brion, Benjamin; Research and Development, Moodwalk, 2 bis rue Vermenton, 60 200 Compienge, France
Denis, Léopold; Research and Development, Moodwalk, 2 bis rue Vermenton, 60 200 Compienge, France
Pirsoul, Thomas; Psychological Sciences Research Institute, Université Catholique de Louvain, 1348 Louvain-la-Neuve, Belgium
Roskam, Isabelle; Psychological Sciences Research Institute, Université Catholique de Louvain, 1348 Louvain-la-Neuve, Belgium
Mikolajczak, Moïra; Psychological Sciences Research Institute, Université Catholique de Louvain, 1348 Louvain-la-Neuve, Belgium
Language :
English
Title :
An Instrument to Operationalize the Balance between Risks and Resources and Predict Job Burnout.
Publication date :
2021
Journal title :
International Journal of Environmental Research and Public Health
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Demerouti, E.; Bakker, A.B.; Nachreiner, F.; Schaufeli, W.B. The job demands‐resources model of burnout. J. Appl. Psychol. 2001, 86, 499–512.
Lindblom, K.M.; Linton, S.J.; Fedeli, C.; Bryngelsson, I.‐L. Burnout in the working population: Relations to psychosocial factors. Int. J. Behav. Med. 2006, 13, 51–59.
Tuithof, M.; ten Have, M.; Beekman, A.; van Dorsselaer, S.; Kleinjan, M.; Schaufeli, W.; de Graaf, R. The interplay between emotional exhaustion, common mental disorders, functioning and health care use in the working population. J. Psychosom. Res. 2017, 100, 8–14.
Armon, G.; Melamed, S.; Shirom, A.; Shapira, I. Elevated burnout predicts the onset of musculoskeletal pain among apparently healthy employees. J. Occup. Health Psychol. 2010, 15, 399.
Hakanen, J.J.; Bakker, A.B.; Schaufeli, W.B. Burnout and work engagement among teachers. J. Sch. Psychol. 2006, 43, 495–513.
Honkonen, T.; Ahola, K.; Pertovaara, M.; Isometsä, E.; Kalimo, R.; Nykyri, E.; Aromaa, A.; Lönnqvist, J. The association between burnout and physical illness in the general population—Results from the Finnish Health 2000 Study. J. Psychosom. Res. 2006, 61, 59–66.
Melamed, S.; Shirom, A.; Toker, S.; Shapira, I. Burnout and risk of type 2 diabetes: A prospective study of apparently healthy employed persons. Psychosom. Med. 2006, 68, 863–869.
Melamed, S.; Shirom, A.; Toker, S.; Berliner, S.; Shapira, I. Burnout and risk of cardiovascular disease: Evidence, possible causal paths, and promising research directions. Psychol. Bull. 2006, 132, 327.
Mohren, D.C.; Swaen, G.M.; Kant, I.; Van Amelsvoort, L.G.; Borm, P.J.; Galama, J.M. Common infections and the role of burnout in a Dutch working population. J. Psychosom. Res. 2003, 55, 201–208.
Burke, R.J.; Greenglass, E. A longitudinal study of psychological burnout in teachers. Hum. Relat. 1995, 48, 187–202.
Ekstedt, M.; Söderström, M.; Akerstedt, T.; Nilsson, J.; Søndergaard, H.P.; Aleksander, P. Disturbed sleep and fatigue in occupational burnout. Scand. J. Work. Environ. Health 2006, 32, 121–131.
Söderström, M.; Ekstedt, M.; Akerstedt, T.; Nilsson, J.; Axelsson, J. Sleep and sleepiness in young individuals with high burnout scores. Sleep 2004, 27, 1369–1377.
Kim, H.; Stoner, M. Burnout and turnover intention among social workers: Effects of role stress, job autonomy and social sup-port. Adm. Soc. Work. 2008, 32, 5–25.
Bakker, A.B.; Demerouti, E.; De Boer, E.; Schaufeli, W.B. Job demands and job resources as predictors of absence duration and frequency. J. Vocat. Behav. 2003, 62, 341–356.
Nahrgang, J.D.; Morgeson, F.P.; Hofmann, D.A. Safety at work: A meta‐analytic investigation of the link between job demands, job resources, burnout, engagement, and safety outcomes. J. Appl. Psychol. 2011, 96, 71–94.
Bakker, A.B.; Demerouti, E.; Verbeke, W. Using the job demands‐resources model to predict burnout and performance. Hum. Resour. Manag. 2004, 43, 83–104.
Lesener, T.; Burkhard, G.; Wolter, C. The job demands‐resources model: A meta‐analytic review of longitudinal studies. Work. Stress 2019, 33, 76–103.
Bakker, A.B.; Demerouti, E.; Euwema, M.C. Job resources buffer the impact of job demands on burnout. J. Occup. Health Psychol. 2005, 10, 170.
Schaufeli, W.B.; Bakker, A.B.; Van Rhenen, W. How changes in job demands and resources predict burnout, work engagement, and sickness absenteeism. J. Organ. Behav. 2009, 30, 893–917.
Ryan, R.M.; Deci, E.L. Self‐determination theory and the facilitation of intrinsic motivation, social development, and well‐being. Am. Psychol. 2000, 55, 68–78.
Schaufeli, W.B.; Taris, T.W. A critical review of the Job Demands‐Resources Model: Implications for improving work and health. In Bridging Occupational, Organizational and Public Health; Bauer, G., Hämmig, O., Eds.; Springer: Dordrecht, The Netherlands, 2014; pp. 43–68, http://dx.doi.org/10.1007/978‐94‐007‐5640‐3_4.
Rahmadani, V.G.; Schaufeli, W.B.; Stouten, J.; Zhang, Z.; Zulkarnain, Z. Engaging leadership and its implication for work engagement and job outcomes at the individual and team level: A multi‐level longitudinal study. Int. J. Environ. Res. Public Health 2020, 17, 776.
Hakanen, J.J.; Ropponen, A.; De Witte, H.; Schaufeli, W.B. Testing demands and resources as determinants of vitality among different employment contract groups. Int. J. Environ. Res. Public Health 2019, 16, 4951.
Mikolajczak, M.; Roskam, I. A Theoretical and Clinical Framework for Parental Burnout: The Balance Between Risks and Resources (BR2). Front. Psychol. 2018, 9, 886.
Alarcon, G.M. A meta‐analysis of burnout with job demands, resources, and attitudes. J. Vocat. Behav. 2011, 79, 549–562.
Crawford, E.R.; LePine, J.A.; Rich, B.L. Linking job demands and resources to employee engagement and burnout: A theoretical extension and meta‐analytic test. J. Appl. Psychol. 2010, 95, 834.
Hülsheger, U.R.; Schewe, A.F. On the costs and benefits of emotional labor: A meta‐analysis of three decades of research. J. Occup. Health Psychol. 2011, 16, 361–389.
Kurtessis, J.N.; Eisenberger, R.; Ford, M.T.; Buffardi, L.C.; Stewart, K.A.; Adis, C.S. Perceived organizational support: A meta-analytic evaluation of organizational support theory. J. Manag. 2017, 43, 1854–1884.
Swider, B.W.; Zimmerman, R.D. Born to burnout: A meta‐analytic path model of personality, job burnout, and work outcomes. J. Vocat. Behav. 2010, 76, 487–506.
Maslach, C.; Jackson, S.E.; Leiter, M.P.; Schaufeli, W.B.; Schwab, R.L. Maslach Burnout Inventory; Consulting Psychologists Press: Palo Alto, CA, USA, 1986; Volume 21, pp. 3463–3464.
Dion, G.; Tessier, R. Validation de la traduction de l’Inventaire d’épuisement professionnel de Maslach et Jackson. Can. J. Behav. Sci. Rev. Can. Des Sci. Du Comport. 1994, 26, 210–227.
Lichtenstein, R.; Alexander, J.A.; McCarthy, J.F.; Wells, R. Status differences in cross‐functional teams: Effects on individual member participation, job satisfaction, and intent to quit. J. Health Soc. Behav. 2004, 45, 322–335.
Brasseur, S.; Grégoire, J.; Bourdu, R.; Mikolajczak, M. The profile of emotional competence (PEC): Development and validation of a self‐reported measure that fits dimensions of emotional competence theory. PLoS ONE 2013, 8, e62635.
Lee, K.J.; Carlin, J.B. Multiple imputation for missing data: Fully conditional specification versus multivariate normal imputa-tion. Am. J. Epidemiol. 2010, 171, 624–632.
Peer, E.; Brandimarte, L.; Samat, S.; Acquisti, A. Beyond the Turk: Alternative platforms for crowdsourcing behavioral research. J. Exp. Soc. Psychol. 2017, 70, 153–163.
Quinn, R.P.; Shephard, L.G. The 1972–1973 Quality of Employment Survey; Institute for Social Research: Ann Arbor, MI, USA, 1974.
Spector, P.E.; Fox, S.; Penney, L.M.; Bruursema, K.; Goh, A.; Kessler, S. The dimensionality of counterproductivity: Are all counterproductive behaviors created equal? J. Vocat. Behav. 2006, 68, 446–460.
Spitzer, R.L.; Kroenke, K.; Williams, J.B.; Patient Health Questionnaire Primary Care Study Group. Validation and utility of a self‐report version of PRIME‐MD: The PHQ primary care study. JAMA 1999, 282, 1737–1744.
Deleuze, J.; Rochat, L.; Romo, L.; Van der Linden, M.; Achab, S.; Thorens, G.; Khazaal, Y.; Zullino, D.F.; Maurage, P.; Rothen, S.; et al. Prevalence and characteristics of addictive behaviors in a community sample: A latent class analysis. Addict. Behav. Rep. 2015, 1, 49–56.
Pennebaker, J.W. The Pennebaker Inventory of Limbic Languidness (the PILL) In The Psychology of Physical Symptoms; Springer: New York, NY, USA, 1982.
Singer, J.D.; Willet, J.B. A framework for investigating change over time. Appl. Longitud. Data Anal. 2003, 315, 115–139.
Raudenbush, S.W.; Bryk, A.S. Hierarchical Linear Models: Applications and Data Analysis Methods, 2nd ed.; Sage Publications, Inc.: Thousand Oaks, CA, USA, 2002.
Hoffman, L.; Stawski, R.S. Persons as contexts: Evaluating between‐person and within‐person effects in longitudinal analysis. Res. Hum. Dev. 2009, 6, 97–120.
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