Statistical analysis of risk factors associated with lumbar spine pathologies for the employed population

Authors

  • Vanessa Mena 0000-0002-9248-4684
  • Daniel Fernández
  • Patricia Guevara

DOI:

https://doi.org/10.29166/rfcmq.v47i2.3952

Keywords:

Low back pain, lumbar region, spine, risk factors

Abstract

Objective: Determine the risk factors of lumbar pathologies in patients employed and affiliated with the health system, based on physical examination, habits, personal history, and occupational risk factors.

Methods: The study design is retrospective, cross-sectional. In a sample of 668 adult workers from Ecuador. The binary logit response predictive model was applied to identify risk factors and supervised learning methodology (classification trees) was used to classify patients according to the degree of lumbar pathology.

Results: The logistic predictive model has a sensitivity of 62.5%, a specificity of 63.7%, the area under the ROC curve was 0.63, and precision of 63.4% was determined.  

Conclusion: The factors that increase the risk of the most frequent lumbar pathology (low back pain) in order of importance in patients are: younger age, female sex, tend to be exposed to psychosocial risk factors at work, and lower risk of having mechanical factors.

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Author Biographies

Vanessa Mena, 0000-0002-9248-4684

Facultad de Ciencias Económicas. Universidad Central del Ecuador. Quito-Ecuador.

Daniel Fernández

Becario Serra Húnter. Departamento de Estadística e Investigación Operativa. Universidad Politécnica de Cataluña-BarcelonaTech (IMTech). Barcelona-España. Instituto de Matemáticas. Universidad Politécnica de Cataluña-BarcelonaTech (IMTech). Barcelona-España. Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM). Instituto de Salud Carlos III. Madrid-España.

Patricia Guevara

Departamento de Ciencias Exactas. Universidad de las Fuerzas Armadas – ESPE. Rumiñahui-Ecuador.

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Published

2022-01-01

How to Cite

1.
Mena V, Fernández D, Guevara P. Statistical analysis of risk factors associated with lumbar spine pathologies for the employed population. Rev Fac Cien Med (Quito) [Internet]. 2022 Jan. 1 [cited 2024 Dec. 22];47(2):9-17. Available from: https://revistadigital.uce.edu.ec/index.php/CIENCIAS_MEDICAS/article/view/3952