Do Type D personality and job demands-resources predict emotional exhaustion and work engagement? A 3-wave prospective study

• Published in: Personality and individual differences Vol. 149; pp. 167 - 173
• Main Authors: Bosmans, Mark W.G., Setti, Ilaria, Sommovigo, Valentina, van der Velden, Peter G.
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 15.10.2019; Elsevier Science Ltd
• Subjects: Burnout; Cross-sectional studies; Engagement; Fatigue; Health care; JD-R model; Job characteristics; Negative emotions; Neuroticism; Personality; Type D personality; Neuroticism; Engagement; Burnout; JD-R model; Type D personality
• ISSN: 0191-8869; 1873-3549
• DOI: 10.1016/j.paid.2019.05.053

Cross-sectional studies suggest that Type D personality is a risk factor for work-related exhaustion and engagement, but longitudinal evidence is lacking. The present 3-wave study examined its longitudinal effects, taking into account existing job demands and resources, exhaustion, engagement, and neuroticism. Data were extracted from the LISS-panel, based on a random sample of the Dutch population. Hierarchical multiple regression analyses were conducted among respondents (N = 2273) who were employed during the 7-month study. Respondents worked in sectors varying from healthcare to industry. In the longitudinal analyses Type D personality was not a significant predictor for exhaustion/engagement over and above existing exhaustion/engagement, neuroticism, job demands and resources, in contrast to cross-sectional analyses. Job demands and resources explained a trivial proportion of variance of exhaustion and engagement in longitudinal analyses. Using the two elements of Type D personality (negative affectivity and social inhibition) did not change main findings. Existing exhaustion and engagement were significant and dominant predictors. We found no evidence to prove that Type D personality is relevant in the development of emotional exhaustion and engagement. Findings stress the necessity of longitudinal studies controlling for corresponding variables assessed earlier to prevent overestimations of effects.