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    Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10259/8141

    Título
    Influence of Cushioning Variables in the Workplace and in the Family on the Probability of Suffering Stress
    Autor
    Cárdenas Gonzalo, DavidAutoridad UBU Orcid
    Publicado en
    Safety and Health at Work. 2016, V. 7, n. 3, p. 175-184
    Editorial
    Elsevier
    Fecha de publicación
    2016-09
    ISSN
    2093-7911
    DOI
    10.1016/j.shaw.2016.02.003
    Resumen
    Stress at work and in the family is a very common issue in our society that generates many health-related problems. During recent years, numerous studies have sought to define the term stress, raising many contradictions that various authors have studied. Other authors have attempted to establish some criteria, in subjective and not very quantitative ways, in an attempt to reduce and even to eliminate stressors and their effects at work and in the family context. The purpose of this study was to quantify so-called cushioning variables, such as control, social support, home/work life conciliation, and even sports and leisure activities, with the purpose of, as much as possible, reducing the negative effects of stress, which seriously affects the health of workers. The study employs data from the Fifth European Working Conditions Survey, in which nearly 44,000 interviewees from 34 countries in the European Union participated. We constructed a probabilistic model based on a Bayesian network, using variables from both the workplace and the family, the aforementioned cushioning variables, as well as the variable stress. If action is taken on the above variables, then the probabilities of suffering high levels of stress may be reduced. Such action may improve the quality of life of people at work and in the family.
    Palabras clave
    Bayesian networks
    Cushioning variables
    European survey
    Stress
    Working conditions
    Materia
    Organización del trabajo
    Methods engineering
    Salud
    Health
    Estadística matemática
    Mathematical statistics
    URI
    http://hdl.handle.net/10259/8141
    Versión del editor
    https://doi.org/10.1016/j.shaw.2016.02.003
    Aparece en las colecciones
    • Artículos Ciencia de los Materiales e Ingeniería Metalúrgica
    Attribution-NonCommercial-NoDerivatives 4.0 Internacional
    Documento(s) sujeto(s) a una licencia Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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    Nombre:
    Cardenas-shw_2016.pdf
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    575.0Kb
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