Many studies highlights the correlation between personality and burnout but a limitation in previous studies is the lack of longitudinell data, wich is preferable to show strong causal relationships. The purpose of this study is to explore if personality-traits can predict changes in levels of burnout across time. Longitudinal data from nurse students in Sweden participating in the LANE study are used. The personality constructs chosen are personality traits from The Five Factor theory, adjusted into traits specifically applicable in personality and health research. Two dimensions of burnout were used to identify levels of burnout, exhaustion and disengagement. The method used to explore changes in burnout levels, and associations to personalitytraits, is multiple regressionanalysis. The results show that the personality traits Impulsivity, Negative affectivity and Antagonism can predict burnout. The longitudinal data allow us to make stronger predictions than earlier studies made.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:su-40708 |
| Date | January 2010 |
| Creators | Idar Wallin, Malin |
| Publisher | Stockholms universitet, Psykologiska institutionen |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
Page generated in 0.1985 seconds