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A STUDY OF WORK AND FAMILY STRESS THROUGH BAYESIAN NETWORKS

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JANUARY-DECEMBER 2017   -  Volume: 5 -  Pages: [20 p.]

DOI:

https://doi.org/10.6036/MN8293

Authors:

DAVID CARDENAS GONZALO

Disciplines:

  • Organization and management of enterprises (SEGURIDAD INDUSTRIAL )

Downloads:   76

How to cite this paper:  
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Received Date :   16 January 2017

Reviewing Date :   16 January 2017

Accepted Date :   3 February 2017


Key words:
Niveles de estrés , Cargas familiares, quinta encuesta europea, condiciones de trabajo, Working conditions, stress levels, family responsibilities, work rate, fifth European survey
Article type:
ARTICULO DE INVESTIGACION / RESEARCH ARTICLE
Section:
RESEARCH ARTICLES

A central aspect that has guided the completion of this study is the influential role of combinations of family and workloadson stress and their direct consequences for family and working life. Important variables caused by stress within the family are advanced in this study such as child-care, care of the elderly and housework. Conversely and in direct relation with working life, the study seeks to confirm that the speed of work in itself affects stress, all the more so in combination with family loads such as child-care, care of the elderly and housework. Othervariables within working life such as working to tight deadlines and even the number of hours at work each week will have considerable influence, in combination with family loads, on the likelihood of suffering high levels of stress. The results demonstrate that the combination of all these variables can generate high levels of stress with repercussions both in family life and in the world of work. The completion of sensitivity studies on combinations between unfavorable variables will, in this sense, mean that the stress levels of people in both the family and at work may be controlled. Thus, action may be taken on both family variables (care of the elderly, child-care, and cooking and housework) and variables at work (speed of work, tight deadlines and number of hours worked each week) to achieve a reduction in so far as may be possible in the probability of suffering high stress levels to improve quality of life.

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