Characteristics associated with prolonged work absenteeism due to medical reasons among agribusiness workers in Peru: A cross-sectional study

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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...

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Detalles Bibliográficos
Autores: Aguirre Quispe, Wilfor, Moreno Luján, Joan Manuel
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
Descripción
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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