scholarly journals How changes in job demands and resources predict burnout, work engagement, and sickness absenteeism

2009 ◽  
Vol 30 (7) ◽  
pp. 893-917 ◽  
Author(s):  
Wilmar B. Schaufeli ◽  
Arnold B. Bakker ◽  
Willem Van Rhenen
2019 ◽  
Vol 2019 ◽  
pp. 1-8 ◽  
Author(s):  
Mara Martini ◽  
Gloria Guidetti ◽  
Sara Viotti ◽  
Barbara Loera ◽  
Daniela Converso

University organizational contexts have been changing significantly in recent years, and academic staff are expected to manage larger workloads at an increased pace. This can threaten their well-being and exacerbate work-related stress—possibly creating negative impacts on their mental and physical states. Surprisingly, academic occupational psychological health is still rarely studied. By referring to the Job Demands-Resources (JD-R) conceptual model, this study aimed to analyze the relationship between university teachers’ well-being and job demands and resources, with a particular focus on the role of the relationship with students. Specifically, 550 associate and full professors were studied to determine the impact of job characteristics, quality of relationships in the work environment, and negative and positive relations with students regarding emotional exhaustion and work engagement. Hierarchical multiple regression models allowed us to highlight the fact that emotional exhaustion was positively and significantly associated with workload, conflicts with colleagues, and requests from students, and it was negatively associated with work meaning. Work engagement was positively and significantly associated with work meaning and social support from students. Our study points out that the flexible and renowned JD-R model can successfully be used to analyze the occupational psychological health of academics. Further, our study underscores the fact that, among job demands and resources, the often-neglected relations with external users (the students) can play an important role in university teachers’ perceptions of exhaustion and engagement.


2015 ◽  
Vol 14 (1) ◽  
pp. 33-41 ◽  
Author(s):  
Adrienne Turnell ◽  
Victoria Rasmussen ◽  
Phyllis Butow ◽  
Ilona Juraskova ◽  
Laura Kirsten ◽  
...  

ABSTRACTObjective:Burnout is reportedly high among oncology healthcare workers. Psychosocial oncologists may be particularly vulnerable to burnout. However, their work engagement may also be high, counteracting stress in the workplace. This study aimed to document the prevalence of both burnout and work engagement, and the predictors of both, utilizing the job demands–resources (JD–R) model, within a sample of psychosocial oncologists.Method:Psychosocial-oncologist (N = 417) clinicians, recruited through 10 international and national psychosocial-oncology societies, completed an online questionnaire. Measures included demographic and work characteristics, burnout (the MBI–HSS Emotional Exhaustion (EE) and Depersonalization (DP) subscales), the Utrecht Work Engagement Scale, and measures of job demands and resources.Results:High EE and DP was reported by 20.2 and 6.6% of participants, respectively, while 95.3% reported average to high work engagement. Lower levels of job resources and higher levels of job demands predicted greater burnout, as predicted by the JD–R model, but the predicted interaction between these characteristics and burnout was not significant. Higher levels of job resources predicted higher levels of work engagement.Significance of results:Burnout was surprisingly low and work engagement high in this sample. Nonetheless, one in five psychosocial oncologists have high EE. Our results suggest that both the positive (resources) and negative (demands) aspects of this work environment have an on impact burnout and engagement, offering opportunities for intervention. Theories such as the JD–R model can be useful in guiding research in this area.


2013 ◽  
Vol 38 (3) ◽  
pp. 353-366 ◽  
Author(s):  
Sarah-Geneviève Trépanier ◽  
Claude Fernet ◽  
Stéphanie Austin ◽  
Jacques Forest ◽  
Robert J. Vallerand

2018 ◽  
Vol 49 (4) ◽  
pp. 479-490
Author(s):  
Anthony G Balogun ◽  
Olukayode A Afolabi

Recently, studies have shown that work engagement is associated with high level of work–family conflict. However, little is known about the factors that can moderate this relationship. Using job demands–resources model as a theoretical framework, this study examined the moderating roles of job demands and resources in the relation between work engagement and work–family conflict among a sample of 156 working mothers in Nigeria. Their ages ranged between 24 and 39 years ( M = 34.09; SD = 7.49). Data were analyzed using moderated hierarchal regression analysis. Results showed that work engagement was positively related to work–family conflict. Job demands and resources significantly moderated the relationship between work engagement and work–family conflict, such that highly work engaged working mothers who experience high job demands with high job resources reported low work–family conflict. The findings suggest that organizations can reduce the negative effect of work engagement on work–family conflict among their employees by reducing or optimizing job demands and providing adequate job resources.


2019 ◽  
Vol 20 (1) ◽  
Author(s):  
GABRIELE D. MERCALI ◽  
SILVIA G. COSTA

ABSTRACT Purpose: This research aimed to identify and analyze the antecedents of work engagement through job demands and resources of the higher education professors in Brazil. Originality/value: First findings of engagement, job resources and demands regarding Brazilian professors sample. This dissertation contributes to the reflection of their situation and the conditions of their jobs. Design/methodology/approach: This study used a quantitative approach by means of applying an online questionnaire composed of identification questions and two scales. The sample comprised 506 professors belonging to all federative units of the country. Data collected from the questionnaire was analyzed through descriptive statistics, analysis of variance and t-test. Findings: The main findings show that professors, in general, have medium levels of engagement, but it is very close to the limit that can affect their health. The qualitative demands are the most expressive in the working life of these professionals and the work resources (task execution) were those that obtained the highest average among all resources, followed by the social ones. In general, professors from private institutions perceive job demands and resources more favorably than those who work in public institutions.


Psichologija ◽  
2019 ◽  
Vol 59 ◽  
pp. 53-67
Author(s):  
Arūnas Žiedelis

The psychosocial work environment (i.e., job demands and resources) is a significant determinant of nurses’ health and motivation; yet, despite the close associations between specific work environment factors, various frameworks suggest different aspects as the most important among the rest. Having in mind the assumption that a more abstract level of analysis might be equally relevant for understanding the work environment and predicting significant outcomes, the aim of this study was to discern the latent factors of nursing work environment and to evaluate their significance in predicting nurses’ work engagement and exhaustion. Two hundred eleven nurses participated in a two-wave time-lagged survey (ΔT = 8 months). In this survey, 1 Expanded Nursing Stress Scale and several subscales of the Work Design Questionnaire were used to measure main job demands and resources in nursing. At that time, 2 participants were asked to fill out an Utrecht Work Engagement Scale and Copenhagen Burnout Inventory. Exploratory factor analysis (EFA) and hierarchical regression analysis were used for analyzing the data. The EFA results revealed that two factors can be discerned, each related to main job demands and resources accordingly. Based on these results, the aggregated indexes of job demands and resources were calculated. A linear regression analysis showed that these indexes predicted nurses’ work engagement and exhaustion no worse than specific factors, despite the loss of variance due to aggregation. Practical implications of such conclusions are also discussed in the article.


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