https://link.springer.com/content/pdf/10.2307%2F3343168.pdf

Development as Freedom

The job demands-resources (JD-R) model proposes that working conditions can be categorized into 2 broad categories, job demands and job resources. that are differentially related to specific outcomes. A series of LISREL analyses using self-reports as well as observer ratings of the working conditions provided strong evidence for the JD-R model: Job demands are primarily related to the exhaustion component of burnout, whereas (lack of) job resources are primarily related to disengagement. Highly similar patterns were observed in each of 3 occupational groups: human services, industry, and transport (total N = 374). In addition, results confirmed the 2-factor structure (exhaustion and disengagement) of a new burnout instrument--the Oldenburg Burnout Inventory--and suggested that this structure is essentially invariant across occupational groups.

The job demands-resources model of burnout

Purpose – The purpose of this paper is to give a state‐of‐the art overview of the Job Demands‐Resources (JD‐R) modelDesign/methodology/approach – The strengths and weaknesses of the demand‐control model and the effort‐reward imbalance model regarding their predictive value for employee well being are discussed. The paper then introduces the more flexible JD‐R model and discusses its basic premises.Findings – The paper provides an overview of the studies that have been conducted with the JD‐R model. It discusses evidence for each of the model's main propositions. The JD‐R model can be used as a tool for human resource management. A two‐stage approach can highlight the strengths and weaknesses of individuals, work groups, departments, and organizations at large.Originality/value – This paper challenges existing stress models, and focuses on both negative and positive indicators of employee well being. In addition, it outlines how the JD‐R model can be applied to a wide range of occupations, and be used to i...

The job demands-resources model : state of the art

Background Hyperglycemia and insulin resistance are common in critically ill patients, even if they have not previously had diabetes. Whether the normalization of blood glucose levels with insulin therapy improves the prognosis for such patients is not known. Methods We performed a prospective, randomized, controlled study involving adults admitted to our surgical intensive care unit who were receiving mechanical ventilation. On admission, patients were randomly assigned to receive intensive insulin therapy (maintenance of blood glucose at a level between 80 and 110 mg per deciliter) or conventional treatment (infusion of insulin only if the blood glucose level exceeded 215 mg per deciliter and maintenance of glucose at a level between 180 and 200 mg per deciliter). Results At 12 months, with a total of 1548 patients enrolled, intensive insulin therapy reduced mortality during intensive care from 8.0 percent with conventional treatment to 4.6 percent (P<0.04, with adjustment for sequential analyses). The ...

https://www.nejm.org/doi/pdf/10.1056/NEJMoa011300

Intensive Insulin Therapy in Critically Ill Patients

This study examines the factorial structure of a new instrument to measure engagement, the hypothesized `opposite' of burnout in a sample of university students (N=314) and employees (N=619). In addition, the factorial structure of the Maslach-Burnout Inventory-General Survey (MBI-GS) is assessed and the relationship between engagement and burnout is examined. Simultaneous confirmatory factor analyses in both samples confirmed the original three-factor structure of the MBI-GS (exhaustion, cynicism, and professional efficacy) as well as the hypothesized three-factor structure of engagement (vigor, dedication, and absorption). Contrary to expectations, a model with two higher-order factors – ‘burnout’ and ‘engagement’ – did not show a superior fit to the data. Instead, our analyses revealed an alternative model with two latent factors including: (1) exhaustion and cynicism (‘core of burnout’); (2) all three engagement scales plus efficacy. Both latent factors are negatively related and share between 22% and 38% of their variances in both samples. Despite the fact that slightly different versions of the MBI-GS and the engagement questionnaire had to be used in both samples the results were remarkably similar across samples, which illustrates the robustness of our findings.

/pdf/the-measurement-of-engagement-and-burnout-a-two-sample-1ngjzavj29.pdf

The Measurement of Engagement and Burnout: A Two Sample Confirmatory Factor Analytic Approach

This study of 513 Dutch farmers tested a dynamic equilibrium model of resources (an extension of the conservation of resources theory; S. E. Hobfoll, 1989, 1998, 2001). With structural equation modeling, the advantages of a 3-wave longitudinal design were comprehensively used, such as addressing bidirectional causal effects and within-individual vs. between-individual change. This allowed for a careful analysis of the management function of resources in the stress process. Results showed that well-being had stronger within-person stability than finances. Increased levels of financial problems temporarily increased psychological distress but not self-reported illness. Conversely, farmers with higher stable baselines of psychological distress also had higher baselines of self-reported illness and experienced more negative changes in their financial situation.

/pdf/finances-and-well-being-a-dynamic-equilibrium-model-of-2pfafd2hzb.pdf

Finances and well-being: a dynamic equilibrium model of resources.

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Finances and well-being: a dynamic equilibrium model of resources.