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여성 노인의 자세 정렬과 시공간 보행 변수 사이의 연관성

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

대한물리의학회지 2020년 15권 3호 p.117 ~ 125
김성현, 신호진, 서혜림, 정경심, 조휘영,
소속 상세정보
김성현 ( Kim Sung-Hyeon ) - Gachon University Graduate School Department of Health Science
신호진 ( Shin Ho-Jin ) - Gachon University Graduate School Department of Health Science
서혜림 ( Suh Hye-Rim ) - Korea University College of Medicine Department of Physiology
정경심 ( Jung Kyoung-Sim ) - Gimcheon University Department of Physical Therapy
조휘영 ( Cho Hwi-Young ) - Gachon University Department of Physical Therapy

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.

키워드

Aging; Posture; Gait analysis; Biomarkers

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