Work Realities and Behavioral Risk Factors in Italy
[EN] The connection between health, work environment, and job characteristics is a relevant issue in public health. However, it is often underexplored due to a lack of reliable data. To address this gap, we have delved into the subject using data from an NCDs-risk factor surveillance system (PASSI)....
| Autores: | , |
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| Tipo de recurso: | capítulo de libro |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Universitat Politècnica de València (UPV) |
| Repositorio: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| Idioma: | inglés |
| OAI Identifier: | oai:riunet.upv.es:10251/208673 |
| Acceso en línea: | https://riunet.upv.es/handle/10251/208673 |
| Access Level: | acceso abierto |
| Palabra clave: | Job Behavioral risk factors Surveillance system PASSI Categorical data Text mining Clustering |
| Sumario: | [EN] The connection between health, work environment, and job characteristics is a relevant issue in public health. However, it is often underexplored due to a lack of reliable data. To address this gap, we have delved into the subject using data from an NCDs-risk factor surveillance system (PASSI). We have examined information collected from respondents regarding their occupations relating to risk factors and health status. The proposed analysis employs text mining and cluster approach for categorical variables to identify sub-populations characterized by different socio-economic situations, risk factors, and job types. Although further analyses are needed to explore the potential of this approach better, initial results are promising. They highlight the practical implications of our findings for public health policies. For example, we found that occupations related to the building industry (for males) and healthcare professions (for females) appear to be associated with higher behavioral risk factors, which could inform targeted interventions. |
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