One of the most common sources of stress is one's job and the struggle to balance the demands of one's job with those of one's family and/or romantic relationship. Prolonged exposure to stress can lead to burnout, and it can affect various aspects of one's life and one's emotional and cognitive well-being. Firefighters, police officers, and corrections officers are susceptible to burnout. If their well-being is compromised, it can impact their job performance, which can negatively impact society. The purpose of this study was to determine if a relationship exists between work-family conflict (time-based, strain-based, behavior-based), job burnout (exhaustion, depersonalization, accomplishment), and couple burnout in high-stress occupations, using the work-family conflict model. Using standard multiple regressions, strain-based work-family conflict and behavior-based work-family conflict were significant predictors of emotional exhaustion, depersonalization, and couple burnout. Work-family conflict scores predicted levels of personal accomplishment. In addition, emotional exhaustion was a significant predictor of couple burnout. This study provided insight into the aspects of work-family conflict and job burnout and how they predict couple burnout. Future research may include females, spouses, and other variables that may also predict burnout. Increasing education on which aspects of work-family conflict and job burnout predict couple burnout can help to increase awareness and well-being for individuals working in high-stress occupations. It can also lead to social change by encouraging changes in hiring, training, and support services, which can increase occupational retainment and allow employees to deliver the highest level of service to the populations in which they serve.
| Identifer | oai:union.ndltd.org:waldenu.edu/oai:scholarworks.waldenu.edu:dissertations-7693 |
| Date | 01 January 2019 |
| Creators | Dacey, Elizabeth |
| Publisher | ScholarWorks |
| Source Sets | Walden University |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Walden Dissertations and Doctoral Studies |
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