Dancers with non-specific low back pain have less lumbar movement smoothness than healthy dancers

Autor: Chai-Wei Lin, Yi-Ting Fang, Jeng-Feng Yang, Bih-Jen Hsue, Cheng-Feng Lin
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: BioMedical Engineering OnLine, Vol 22, Iss 1, Pp 1-10 (2023)
Druh dokumentu: article
ISSN: 1475-925X
DOI: 10.1186/s12938-023-01101-2
Popis: Abstract Background Ballet is a highly technical and physically demanding dance form involving extensive end-range lumbar movements and emphasizing movement smoothness and gracefulness. A high prevalence of non-specific low back pain (LBP) is found in ballet dancers, which may lead to poor controlled movement and possible pain occurrence and reoccurrence. The power spectral entropy of time-series acceleration is a useful indicator of random uncertainty information, and a lower value indicates a greater smoothness or regularity. The current study thus applied a power spectral entropy method to analyze the movement smoothness in lumbar flexion and extension in healthy dancers and dancers with LBP, respectively. Method A total of 40 female ballet dancers (23 in the LBP group and 17 in the control group) were recruited in the study. Repetitive end-range lumbar flexion and extension tasks were performed and the kinematic data were collected using a motion capture system. The power spectral entropy of the time-series acceleration of the lumbar movements was calculated in the anterior–posterior (AP), medial–lateral (ML), vertical (VT), and three-directional (3D) vectors. The entropy data were then used to conduct receiver operating characteristic curve analyses to evaluate the overall distinguishing performance and thus cutoff value, sensitivity, specificity, and area under the curve (AUC) were calculated. Results The power spectral entropy was significantly higher in the LBP group than the control group in the 3D vector in both lumbar flexion and lumber extension (flexion: p = 0.005; extension: p
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