JavaScript is disabled for your browser. Some features of this site may not work without it.

    Listar

    Todo RIUMAComunidades & ColeccionesPor fecha de publicaciónAutoresTítulosMateriasTipo de publicaciónCentrosEsta colecciónPor fecha de publicaciónAutoresTítulosMateriasTipo de publicaciónCentros

    Mi cuenta

    AccederRegistro

    Estadísticas

    Ver Estadísticas de uso

    DE INTERÉS

    Datos de investigaciónReglamento de ciencia abierta de la UMAPolítica de RIUMAPolitica de datos de investigación en RIUMASHERPA/RoMEODulcinea
    Preguntas frecuentesManual de usoDerechos de autorContacto/Sugerencias
    Ver ítem 
    •   RIUMA Principal
    • Investigación
    • Fisioterapia - (PF)
    • PF - Contribuciones a congresos científicos
    • Ver ítem
    •   RIUMA Principal
    • Investigación
    • Fisioterapia - (PF)
    • PF - Contribuciones a congresos científicos
    • Ver ítem

    Biomechanical back disability index sonomyography-based: a new tool to identify risk of low back

    • Autor
      Cuesta-Vargas, AntonioAutoridad Universidad de Málaga; Gonzalez-Sanchez, ManuelAutoridad Universidad de Málaga
    • Fecha
      2014-10-20
    • Palabras clave
      Biomecánica; Lumbalgia
    • Resumen
      Purpose: To analyze associations and contributions between architecture and muscle function variables during a back extension in a maximal isometric contraction. To develop an index to identify the risk of low back pain. Relevance: Identify predictors of the architecture and function of the back, particularly if such predictors are modifiable. Develop an index from a multivariate analysis to detect subjects at rick of low back pain. If such relationships exist and would create the index, then the effective intervention strategies could be used. Participants: 66 subjects: 33 Healthy persons and 33 LBP patients (49% ♀) with a mean age of 30.39 (±7.785). Methods: The subjects performed a maximal isometric strength test from which, through the use of sonomyography and electromyography, six variables were obtained: inclination angle and thickness of the erector spinal muscle fibers left and right, by ultrasound scan and muscle activation level (MVC) using EMGs. Analysis: A multiple regression was conducted to examine the relationship between the variables torque, architecture and muscle function. Discriminant analysis was performed. The grouping variable was the value of RMQ greater than or equal to 6. A logistic regression was calculated, with the variables of muscle architecture and activation level, during a maximal isometric contraction. The standardized scores of the variables included in the regression were used to develop the new index, a summative continuous scale assessing the risk of low back pain. Results: Multiple regression models explained between 60 and 86% of the variance in torque (Newton)for the lumbar extension. Linear discrimination ratios were: Angle: right (0.407); left (-0177). Thickness: Right (23.913); Left (59.775). The new index showed a good validity in the assessment of low back pain (area under the Receiver Operating Characteristic curve) with a ratio of 0.844. Conclusions: These findings suggest that it would be possible predicting the risk of low back pain from biomechanical variables. We suggest say that the Biomechanical Back Disability Index sonomyography-based is presented as a tool that can be used to indetify subjects with risk of low back pain.
    • URI
      http://hdl.handle.net/10630/8258
    • Compartir
      RefworksMendeley
    Mostrar el registro completo del ítem
    Ficheros
    BIOMECHANICAL BACK DISABILITY.pdf (114.7Kb)
    Colecciones
    • PF - Contribuciones a congresos científicos

    Estadísticas

    Ver Estadísticas de uso
    Buscar en Dimension
    REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA
    REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA
     

     

    REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA
    REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA