Psicothema was founded in Asturias (northern Spain) in 1989, and is published jointly by the Psychology Faculty of the University of Oviedo and the Psychological Association of the Principality of Asturias (Colegio Oficial de Psicología del Principado de Asturias).
We currently publish four issues per year, which accounts for some 100 articles annually. We admit work from both the basic and applied research fields, and from all areas of Psychology, all manuscripts being anonymously reviewed prior to publication.
Psicothema, 2007. Vol. Vol. 19 (nº 3). 388-394
Elena Miró, Ángel Solanes*, Pilar Martínez, Ana I. Sánchez y Jesús Rodríguez Martín*
Universidad de Granada y * Universidad Miguel Hernández de Elche
El presente estudio tiene como objetivo analizar en una muestra de 316 trabajadores sanos de distintos sectores profesionales la relación entre sueño, burnout y tensión laboral. Encontramos múltiples correlaciones significativas entre los principales parámetros de sueño, las dimensiones de burnout y de tensión laboral. En los análisis de regresión la calidad de sueño y diversas dimensiones de tensión laboral son predictores significativos de los distintos aspectos del burnout. La calidad de sueño explica un porcentaje de la varianza en agotamiento emocional incluso superior al explicado por variables más conocidas como las demandas laborales. Además, la calidad de sueño interacciona con los aspectos de tensión laboral en su influencia sobre las dimensiones de burnout, aunque el tipo de relación exacta que exista entre estas variables debe ser abordado en futuros estudios longitudinales. Nuestros resultados sugieren que las intervenciones destinadas a optimizar los hábitos de sueño podrían servir para prevenir o aliviar el burnout y ser parte del trabajo organizacional.
Relationship between burnout, job strain, and sleep characteristics. The purpose of the present study is to analyse the relationship between sleep, burnout, and job strain in a sample of 316 healthy workers from various professional sectors. Multiple significant correlations between the principal sleep parameters, the dimensions of burnout, and job strain were found. The regression analyses show that sleep quality and various dimensions of job strain are significant predictors of several aspects of burnout. Sleep quality explains an even higher percentage of the variance in emotional exhaustion than the variance explained by more well-known variables such as job demands. Moreover, sleep quality interacts with aspects of job strain in its influence on the dimensions of burnout, although the exact relationship between these variables needs to be investigated in future longitudinal studies. Our results suggest that interventions to optimise sleep habits could prevent or alleviate burnout and could be a part of organisational work.
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