Predicción clínica del dolor lumbar inespecífico ocupacional

Ingrid Tolosa-Guzmán, Zulma Constanza Romero, Martha Patricia Mora

Resultado de la investigación: Contribución a una revistaArtículo de revisiónrevisión exhaustiva

1 Cita (Scopus)


Non-specific Occupational Low Back Pain (NOLBP) is a health condition that generates a high absenteeism and disability. Due to multifactorial causes is difficult to determine accurate diagnosis and prognosis. The clinical prediction of NOLBP is identified as a series of models that integrate a multivariate analysis to determine early diagnosis, course, and occupational impact of this health condition. Objective: to identify predictor factors of NOLBP, and the type of material referred to in the scientific evidence and establish the scopes of the prediction. Materials and method: the title search was conducted in the databases PubMed, Science Direct, and Ebsco Springer, between 1985 and 2012. The selected articles were classified through a bibliometric analysis allowing to define the most relevant ones. Results: 101 titles met the established criteria, but only 43 met the purpose of the review. As for NOLBP prediction, the studies varied in relation to the factors for example: diagnosis, transition of lumbar pain from acute to chronic, absenteeism from work, disability and return to work. Conclusion: clinical prediction is considered as a strategic to determine course and prognostic of NOLBP, and to determine the characteristics that increase the risk of chronicity in workers with this health condition. Likewise, clinical prediction rules are tools that aim to facilitate decision making about the evaluation, diagnosis, prognosis and intervention for low back pain, which should incorporate risk factors of physical, psychological and social.

Título traducido de la contribuciónClinical prediction of occupational and non-specific low back pain
Idioma originalEspañol
Páginas (desde-hasta)347-368
Número de páginas22
PublicaciónRevista ciencias de la salud
EstadoPublicada - 2012

All Science Journal Classification (ASJC) codes

  • Medicina (miscelánea)
  • Sanidad (ciencias sociales)


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