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Lagged versus concurrent changes between burnout and depression symptoms and unique contributions from job demands and job resources.

ABSTRACT: Burnout and depression pose significant threats to emotional and occupational functioning; however, questions exist over how these 2 conditions are associated with each other over time, and how these are related to underlying job stressors. The job demands-resources model provides a useful framework for understanding how job demands and job resources may lead to burnout, but questions remain about their distinct association with depression symptoms. The current study examined these questions in a sample of 402 nursing workers. The Exhaustion subscale of the Oldenburg Burnout Inventory, the Patient Health Questionnaire-9 depression assessment, and items reflecting job demands and job resources from the Copenhagen Psychosocial Questionnaire were assessed at baseline; additionally, Oldenburg Burnout Inventory Exhaustion and Patient Health Questionnaire-9 depression were assessed over 12 monthly follow-ups. Linear mixed models assessed longitudinal bidirectional associations between burnout and depression in both concurrent and lagged models. Longitudinal models found bidirectional relationships between burnout and depression symptoms over time, with relatively stronger associations for concurrent models relative to lagged models. Job demands and job resources each predicted unique variance in burnout and depression symptoms over time. Results provide evidence that burnout and depression symptoms change in the same direction, in tandem, rather than one condition having a distinctly stronger temporal association over the other. Results also indicate that both job demands and job resources are associated with depression symptoms independent from their association with burnout symptoms. Our results highlight the importance of considering burnout symptoms, depression symptoms, and job stressors concurrently in evaluating worker mental health. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

SUBMITTER: Hatch DJ

PROVIDER: S-EPMC6878137 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

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Lagged versus concurrent changes between burnout and depression symptoms and unique contributions from job demands and job resources.

Hatch Daniel J DJ Potter Guy G GG Martus Peter P Rose Uwe U Freude Gabriele G

Journal of occupational health psychology 20191010 6

Burnout and depression pose significant threats to emotional and occupational functioning; however, questions exist over how these 2 conditions are associated with each other over time, and how these are related to underlying job stressors. The job demands-resources model provides a useful framework for understanding how job demands and job resources may lead to burnout, but questions remain about their distinct association with depression symptoms. The current study examined these questions in ...[more]

PMID: 31599617

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Project description:ObjectiveAlthough burnout has been linked to negative workplace-level effects, prior studies have primarily focused on individuals rather than job-related characteristics. This study sought to evaluate variation in burnout between agencies and to quantify the relationship between burnout and job-related demands/resources among emergency medical services (EMS) professionals.MethodsAn electronic questionnaire was sent to all licensed, practicing EMS professionals in South Carolina. Work-related burnout was measured using the Copenhagen Burnout Inventory. Multivariable generalized estimating equations were used to estimate odds ratios (ORs) for specific job demands and resources while adjusting for confounding variables. Composite scores were used to simultaneously assess the relationship between burnout and job-related demands and resources.ResultsAmong 1271 EMS professionals working at 248 EMS agencies, the median agency-level burnout was 35% (interquartile range [IQR]: 13% to 50%). Job-related demands, including time pressure, were associated with increased burnout. Traditional job-related resources, including pay and benefits, were associated with reduced burnout. Less tangible job resources, including autonomy, clinical performance feedback, social support, and adequate training demonstrated strong associations with reduced burnout. EMS professionals facing high job demands and low job resources demonstrated nearly a 10-fold increase in odds of burnout compared with those exposed to low demands and high resources (adjusted OR [aOR]: 9.50, 95% confidence interval [CI]: 6.39-14.10). High job resources attenuated the impact of high job demands.ConclusionThe proportion of EMS professionals experiencing burnout varied substantially across EMS agencies. Job resources, including those reflective of organizational culture, were associated with reduced burnout. Collectively, these findings suggest an opportunity to address burnout at the EMS agency level.

Project description:AimCalculating a modelled workload based on objective measures. Exploring the relation between this modelled workload and workload as perceived by nurses, including the effects of specific job demands, job resources and personal resources on the relation.DesignAcademic hospital in the Netherlands. Six surgical wards, capacity 15-30 beds. Data collected over 15 consecutive day shifts.MethodsModelled workload is calculated as a ratio of required care time, based on patient characteristics, baseline care time and time for non-patient related activities, and allocated care time, based on the amount of available nurses. Both required and allocated care time are corrected for nurse proficiency. Five dimensions of perceived workload were determined by questionnaires. Both the modelled and the perceived workloads were measured on a daily basis. Linear mixed effects models study the longitudinal relation between this modelled and workload as perceived by nurses and the effects of personal resources, job resources and job demands. ANOVA and post-hoc tests were used to identify differences in modelled workload between wards.ResultsModelled workload varies roughly between 70 and 170%. Significant differences in modelled workload between wards were found but confidence intervals were wide. Modelled workload is positively associated with all five perceived workload measures (work pace, amount of work, mental load, emotional load, physical load). In addition to modelled workload, the job resource support of colleagues and job demands time spent on direct patient care and time spent on registration had the biggest significant effects on perceived workload.ConclusionsThe modelled workload does not exactly predict perceived workload, however there is a correlation between the two. The modelled workload can be used to detect differences in workload between wards, which may be useful in distributing workload more evenly in order prevent issues of over- and understaffing and organizational justice. Extra effort to promote team work is likely to have a positive effect on perceived workload. Nurse management can stimulate team cohesion, especially when workload is high. Registered nurses perceive a higher workload than other nurses. When the proportion of direct patient care in a workday is higher, the perceived workload is also higher. Further research is recommended. The findings of this research can help nursing management in allocating resources and directing their attention to the most relevant factors for balancing workload.

Dataset Information

Lagged versus concurrent changes between burnout and depression symptoms and unique contributions from job demands and job resources.

Publications

Lagged versus concurrent changes between burnout and depression symptoms and unique contributions from job demands and job resources.

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