Influence of Cushioning Variables in the Workplace and in the Family on the Probability of Suffering Stress

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 so...

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Main Author: David Cárdenas Gonzalo
Format: Article
Language:English
Published: Elsevier 2016-09-01
Series:Safety and Health at Work
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S209379111600010X
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spelling doaj-522b8cde5fda4e2f881d970f04f6491b2020-11-24T22:34:32ZengElsevierSafety and Health at Work2093-79112016-09-017317518410.1016/j.shaw.2016.02.003Influence of Cushioning Variables in the Workplace and in the Family on the Probability of Suffering StressDavid Cárdenas GonzaloStress 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.http://www.sciencedirect.com/science/article/pii/S209379111600010XBayesian networkscushioning variablesEuropean surveystressworking conditions
collection DOAJ
language English
format Article
sources DOAJ
author David Cárdenas Gonzalo
spellingShingle David Cárdenas Gonzalo
Influence of Cushioning Variables in the Workplace and in the Family on the Probability of Suffering Stress
Safety and Health at Work
Bayesian networks
cushioning variables
European survey
stress
working conditions
author_facet David Cárdenas Gonzalo
author_sort David Cárdenas Gonzalo
title Influence of Cushioning Variables in the Workplace and in the Family on the Probability of Suffering Stress
title_short Influence of Cushioning Variables in the Workplace and in the Family on the Probability of Suffering Stress
title_full Influence of Cushioning Variables in the Workplace and in the Family on the Probability of Suffering Stress
title_fullStr Influence of Cushioning Variables in the Workplace and in the Family on the Probability of Suffering Stress
title_full_unstemmed Influence of Cushioning Variables in the Workplace and in the Family on the Probability of Suffering Stress
title_sort influence of cushioning variables in the workplace and in the family on the probability of suffering stress
publisher Elsevier
series Safety and Health at Work
issn 2093-7911
publishDate 2016-09-01
description 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.
topic Bayesian networks
cushioning variables
European survey
stress
working conditions
url http://www.sciencedirect.com/science/article/pii/S209379111600010X
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