Riegos psicosociales y accidentabilidad laboral: investigación y propuestas de actuación
[EN] Work-related accidents are a problem of extreme importance due to their serious consequences. Available data on the level of personal injuries and on the economic cost of work accidents justify their study. However, the amount of variables involved, the difficulty of accessing data and “experim...
| Autores: | , , , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2014 |
| País: | España |
| Institución: | Universitat Politècnica de València (UPV) |
| Repositorio: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| Idioma: | español |
| OAI Identifier: | oai:riunet.upv.es:10251/61945 |
| Acceso en línea: | https://riunet.upv.es/handle/10251/61945 |
| Access Level: | acceso abierto |
| Palabra clave: | Work-related accidents Economic crisis Military Construction Agriculture Accidentabilidad laboral Crisis económica Militares Construcción Agricultura ORGANIZACION DE EMPRESAS |
| Sumario: | [EN] Work-related accidents are a problem of extreme importance due to their serious consequences. Available data on the level of personal injuries and on the economic cost of work accidents justify their study. However, the amount of variables involved, the difficulty of accessing data and “experimental mortality”, among other reasons, may explain why this field is not a highly attractive one for researchers. Nevertheless, over the last few years, research studies related to this area have significantly increased not only in our country but also in neighbouring countries. The economic crisis has worsened this problem as employment has become more precarious. This article summarizes the principal results of two research projects carried out by the Social and Organizational Psychology Department of UNED on work-related accidents. The sample of the first study is made up of professional soldiers and the second, with workers from two especially dangerous sectors, construction and agriculture. Following previous classifications that distinguish between personal, job and organizational variables, we review the main models and data obtained. Several practical recommendations to improve the research in this field as well as the prevention of work-related accidents can be found at the end of this article. |
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