Characteristics associated with prolonged work absenteeism due to medical reasons among agribusiness workers in Peru: A cross-sectional study
Descripción del Articulo
Objective: To describe and analyze the factors associated with prolonged work absenteeism due to medical reasons among agribusiness workers. Materials and methods: A secondary source research was conducted in a population of 3,150 agribusiness workers in Peru. A sample of 9,443 cases of work absente...
Autores: | , |
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Formato: | artículo |
Fecha de Publicación: | 2018 |
Institución: | Universidad de San Martín de Porres |
Repositorio: | Horizonte médico |
Lenguaje: | español |
OAI Identifier: | oai:horizontemedico.usmp.edu.pe:article/719 |
Enlace del recurso: | https://www.horizontemedico.usmp.edu.pe/index.php/horizontemed/article/view/719 |
Nivel de acceso: | acceso abierto |
Materia: | Absentismo Trabajadores Accidentes de trabajo Agroindustria Absenteeism Workers Occupational accidents Agribusiness |
Sumario: | Objective: To describe and analyze the factors associated with prolonged work absenteeism due to medical reasons among agribusiness workers. Materials and methods: A secondary source research was conducted in a population of 3,150 agribusiness workers in Peru. A sample of 9,443 cases of work absenteeism was taken during the years 2012 and 2013. Long-term work absenteeism was defined as ≥ 10 days. Analyzed factors were: age, sex, job tenure, type of activity, work schedule, job stability, type of contingency, and affected body system according to the diagnosis. A descriptive and multivariate statistical analysis was applied by binary logistic regression. Results: The factors explaining prolonged work absenteeism were occupational accidents (OR: 13.9, CI: 11.2- 17.2), atypical schedule (OR: 3.14, CI: 1.58-6.25), shorter job tenure (OR: 0.95, CI: 0.95-0.96), moderate-intense work activity (OR: 8.96, CI: 4.53-17.2), and lower job stability (OR: 0.64; CI: 0.54-0.77). Conclusions: Job tenure (> 15 years), atypical work schedule, moderate-intense physical activity, occupational accidents, and an unstable job contract predict prolonged work absenteeism with high certainty. Sex, age and the affected body system were not predictive of prolonged work absenteeism, but showed significant differences in the bivariate analysis. |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).