Variability and distribution of occupational risk in agro-industrial processes of Meta: analysis using synthetic indicators 26 10
DOI:
https://doi.org/10.51896/y3bgxb65Keywords:
Occupational risk management, Agro-industrial sector, Occupational health and safety, Risk assessment, Variability analysis, Synthetic indicatorsAbstract
The agro-industrial sector presents heterogeneous conditions in occupational risk management due to the diversity of production processes, formalization levels, and organizational capacities. This study aims to analyze the variability and distribution of occupational risk in a sample of 38 agro-industrial companies in the Meta department (Colombia), using a quantitative, non-experimental, cross-sectional approach. A structured instrument was applied, validated through expert judgment, exploratory factor analysis (KMO values between 0.617 and 0.813), and internal consistency assessment (Cronbach's α between 0.681 and 0.863), which enabled the construction of a synthetic vulnerability indicator integrating risk dimensions, contextual conditions, and occupational health and safety (OHS) management elements. A descriptive analysis of the indicator's behavior was conducted, including measures of central tendency, dispersion, and interval distribution. Results show moderate variability in occupational risk (mean = 0.486; SD = 0.115), indicating significant differences among the analyzed units. A predominant concentration in intermediate indicator levels was observed, with 86.85% of cases falling between 0.400 and 0.650. Additionally, a stability analysis through simulation revealed consistent behavior and an approximately normal distribution. Together, these results characterize occupational risk in the agro-industrial sector from a quantitative perspective and establish an operational monitoring parameter: variations in the indicator exceeding 25% between successive measurements are indicative of real changes in vulnerability conditions.
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Bazaluk, O., Tsopa, V., Okrasa, M., Pavlychenko, A., Cheberiachko, S., Yavorska, O., Deryugin, O., & Lozynskyi, V. (2024). Improvement of the occupational risk management process in the work safety system of the enterprise. Frontiers in Public Health, 11. https://doi.org/10.3389/fpubh.2023.1330430
Creswell, J. W., & Creswell, J. D. (2017). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (5°). SAGE Publications. https://books.google.com.co/books?id=335ZDwAAQBAJ
DANE. (2024). Producto Interno Bruto—PIB - I trimestre de 2024. Departamento Administrativo Nacional de Estadística (DANE). https://www.dane.gov.co
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate Data Analysis (8.a ed.). Cengage Learning. https://www.cengage.com/c/multivariate-data-analysis-8e-hair/
Hale, A., & Borys, D. (2013). Working to rule, or working safely? Part 1: A state of the art review. Safety Science, 55, 207-221. https://doi.org/10.1016/j.ssci.2012.05.011
Hernández-Sampieri. (2018). Metodología de la investigación: Las rutas cuantitativa, cualitativa y mixta (McGraw Hill). McGraw Hill. https://www.google.com.co/books/edition/METODOLOG%C3%8DA_DE_LA_INVESTIGACI%C3%93N/5A2QDwAAQBAJ?hl=es&gbpv=1&dq=Hern%C3%A1ndez+Sampieri&printsec=frontcover
ICONTEC. (2012). GTC 45 Guía para la identificación de los peligros y la valoración de los riesgos en seguridad y salud ocupacional. (2.a ed., Vol. 1). ICONTEC. https://repository.udistrital.edu.co/bitstream/handle/11349/6034/ParraCuestaDianaMarcelaVasquezVeraErikaVanessa2016-AnexoA.pdf;jsessionid=CE4D851CB731BBBF5ADE5D79D8E6A16A?sequence=2
ISO. (2018). ISO 31000-Risk Management. Principles and Guidelines. ICONTEC.
Lozano-Piedrahita, C. J. (2026). Modelo para la gestión de riesgos laborales en procesos agroindustriales. EAN.
Magri, C. A., Garcia, R. G., Binotto, E., Burbarelli, M. F. C., Gandra, E. R. S., Przybulinski, B. B., Caldara, F. R., & Komiyama, C. M. (2021). Occupational risks and their implications for the health of poultry farmers. WORK-A JOURNAL OF PREVENTION ASSESSMENT & REHABILITATION, 70(3), 815-822. https://doi.org/10.3233/WOR-205179
Matabanchoy-Salazar, J. M., & Díaz-Bambula, F. (2021). Riesgos laborales en trabajadores latinoamericanos del sector agrícola: Una revisión sistemática. Universidad y Salud, 23(3), 337-350. https://doi.org/10.22267/rus.212303.248
Osorio-Vasco, J. (2021). Panorama de la seguridad y salud en el trabajo de microempresas colombianas ubicadas en un barrio del Municipio de Itagüí, Antioquia, Colombia. Cadernos de Saúde Pública, 37, e00175320. https://doi.org/https://doi.org/10.1590/0102-311X00175320
Reason, J. (2000). Human error: Models and management. BMJ, 320(7237), 768-770. https://doi.org/10.1136/bmj.320.7237.768
Zohar, D. (2010). Thirty years of safety climate research: Reflections and future directions. Accident Analysis & Prevention, 42(5), 1517-1522. https://doi.org/10.1016/j.aap.2009.12.019.
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