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Relationship Between the Postural Alignments and Spatio-temporal Gait Parameters in Elderly Woman

여성 노인의 자세 정렬과 시공간 보행 변수 사이의 연관성

  • Kim, Sung-Hyeon (Department of Health Science, Gachon University Graduate School) ;
  • Shin, Ho-Jin (Department of Health Science, Gachon University Graduate School) ;
  • Suh, Hye-Rim (Department of Physiology, Korea University College of Medicine) ;
  • Jung, Kyoung-Sim (Department of Physical Therapy, Gimcheon University) ;
  • Cho, Hwi-Young (Department of Physical Therapy, Gachon University)
  • 김성현 (가천대학교 일반대학원 보건과학과 물리치료학전공) ;
  • 신호진 (가천대학교 일반대학원 보건과학과 물리치료학전공) ;
  • 서혜림 (고려대학교 의과대학 생리학교실) ;
  • 정경심 (김천대학교 물리치료학과) ;
  • 조휘영 (가천대학교 물리치료학과)
  • Received : 2020.06.11
  • Accepted : 2020.07.14
  • Published : 2020.08.31

Abstract

PURPOSE: Aging causes changes in the postural alignment and gait due to changes in the nervous and musculoskeletal systems. On the other hand, the relationship between the changes in posture alignment and gait is unclear. This study examined the relationship between the postural alignment and spatiotemporal gait parameters in Korean elderly women. METHODS: Thirty-two-healthy elderly women participated in this study. All subjects were assessed for their posture alignment and gait ability. Stepwise multiple linear regression was performed to determine to what extent the postural alignments could explain the spatiotemporal gait parameters. RESULTS: Coronal head angle was moderately correlated with the velocity (r = -.51), normalized velocity (r = -.46) and gait-stability ratio (r = .58) (p < .05). The trunk angle was moderately correlated with the normalized velocity (r = -.32) and gait-stability ratio (r = .32) and weakly correlated with the velocity (r = -.28) (p < .05). The coronal shoulder angle was moderately correlated with the swing phase (r = -.57), stance phase (r = .56), single limb stance (r = -.56) and double limb stance (r = .51) (p < .05). The coronal head angle and trunk angle accounted for 36% of the variance in velocity, 33% variance in normalized velocity and 46% variance in the gait-stability ratio (p < .05). The coronal shoulder angle accounted for 32% variance in the swing phase, 32% variance in the stance phase, 31% variance in the single limb stance and 26% variance in the double limb stance (p < .05). CONCLUSION: Changes in posture alignment in elderly women may serve as a biomarker to predict a decrease in walking ability due to physical aging.

Keywords

References

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