Emotional intelligence profiles of nurses caring for people with severe behaviour problems
ABSTRACT This paper reports on a two-year longitudinal study on the emotional intelligence profiles of 380 nurses caring for clients with highly frequent and extremely severe behaviour problems. The aim was to identify emotional intelligence cluster types for those nurses reporting the fewest symptoms of burnout, the least absenteeism due to illness, and the least job turnover. A repeated measures ANOVA was undertaken using a 0.05 level of significance. The fewest symptoms of burnout were reported by female nurses with relatively high emotional intelligence profiles and relatively low social skills. Males with higher problem-solving and stress-tolerance skills also showed less burnout. No specific cluster types with a significant relation to absenteeism due to illness or job turnover could be identified.
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ABSTRACT: The relationship between alexithymia and occupational burnout has not previously been studied. We investigated the association between alexithymia and occupational burnout in a representative nationwide population health study. This study was a part of the Finnish Health 2000 Study. The nationally representative sample comprised 3322 employees aged 30-64 years. Alexithymia was measured with the 20-item Toronto Alexithymia Scale (TAS-20) and occupational burnout with the Maslach Burnout Inventory-General Survey. Sociodemographic and health-related variables including depression were treated as confounders in the logistic regression analyses, which were performed alternately with TAS-20 total score and the scores of the three TAS-20 factor scales as alexithymia variables. Alexithymia and its three facets were significantly associated with occupational burnout even when controlled for confounding factors. Even though both alexithymia and depression are associated with burnout, alexithymia may be an independent risk factor for occupational burnout.Journal of Psychosomatic Research 07/2007; 62(6):657-65. · 3.30 Impact Factor