Possible Improvement of the Sagittal Spinopelvic Alignment and Balance through "Locomotion Training" Exercises in Patients with "Locomotive Syndrome": A Literature Review

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抄録

On the basis of rapid population aging, in 2007, the Japanese Orthopaedic Association (JOA) proposed a new disease concept "Locomotive Syndrome" as a degenerative condition of reduced mobility due to the impairment of the musculoskeletal system. Worsened locomotive components, which consist of bones, joints, and intervertebral discs, and muscles and nerves, can lead to symptoms such as pain, limited range of motion, malalignment, impaired balance, and difficulty in walking, ultimately resulting in the requirement of nursing care. "Locomotive Syndrome" has gained increased interest in Japan but still not worldwide. Hence, in this brief review, we summarize an updated definition, assessment, and management of "Locomotive Syndrome". The JOA recommends "locomotion training" exercise intervention to be effective in maintaining motor function that comprises two simple exercises-squatting and single-leg standing. However, the extent to which exercises affect "locomotive syndrome" is unknown. Here, we further report hypothesis-generating patient cases who presented the improved sagittal spinopelvic alignment in standing radiographs and postural stability in piezoelectric force-plate measurements through our 6-month "locomotion training" outpatient rehabilitation program. It is noteworthy that "locomotion training" facilitated these improvements despite the presence of specific disorders including thoracic kyphosis and symptomatic lumbar spinal canal stenosis. This raises the need for further investigations to clarify effects of "locomotion training" exercises on the spinal alignment, global balance, and quality of life in patients with "locomotive syndrome".

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詳細情報 詳細情報について

  • CRID
    1050856995323152128
  • NII論文ID
    120006645716
  • ISSN
    20903472
    20903464
  • HANDLE
    20.500.14094/90006092
  • 本文言語コード
    en
  • 資料種別
    journal article
  • データソース種別
    • IRDB
    • CiNii Articles

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