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Association between Abnormal Gait Patterns and an Elevated Degree of Pain after Daily Walking: A Preliminary Study.

Shogo MisuTsuyoshi AsaiShunsuke MurataRyo NakamuraTsunenori IsaYamato TsuboiKensuke OshimaShota KoyamaRyuichi SawaYoshihiro FukumotoRei Ono
Published in: International journal of environmental research and public health (2022)
This study aimed to investigate whether abnormal gait patterns are associated with experiencing an elevated degree of pain after daily walking. In this preliminary, cross-sectional study, 223 community-dwelling older adults were assessed for pain experienced after daily walking using a simple question that involved asking the subject about their past experiences of an elevated degree of pain after walking for 400 m or more. Gait patterns were assessed using the Comprehensive Gait Assessment using InerTial Sensor score (C-GAITS score), derived from the data measured by Inertial sensors attached to the lower trunk and heel when subjects walked along a 15 m walkway at a self-selected preferred speed. The score was the sum of 10 gait parameter scores. The lower scores indicated more and worse abnormal gait patterns. In total, 24 older adults (10.8%) reported that they experienced pain after daily walking. According to the multiple logistic regression analyses, older adults with a lower total C-GAITS score had a significantly greater probability of having past experiences of pain after walking (odds ratio = 1.11, 95% confidence interval = 1.03-1.20). The findings of this study suggest that more and worse abnormal gait patterns among older adults in a clinical walking test are associated with an elevated degree of pain after daily walking.
Keyphrases
  • chronic pain
  • pain management
  • neuropathic pain
  • lower limb
  • physical activity
  • cerebral palsy
  • mental health
  • spinal cord injury
  • spinal cord
  • big data
  • machine learning