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만성 뇌졸중 환자들의 지역사회 보행 수준 구별을 위한 일어나 걸어가기 검사, 8자 모양 경로 보행 검사, 네 막대 스텝 검사, 스텝 검사의 변별력과 예측 타당도

Discriminant and predictive validity of TUG, F8WT, FSST, ST for community walking levels in chronic stroke survivors

대한물리치료과학회지 2020년 27권 2호 p.25 ~ 36
이동건, 안승헌, 이규창,
소속 상세정보
이동건 ( Lee Dong-Geon ) - Shinsegae Geriatric hospital Department of Physical Therapy
안승헌 ( An Seung-Heon ) - National Rehabilitation Center Department of Physical Therapy
이규창 ( Lee Gyu-Chang ) - Kyungnam University Department of Physical Therapy

Abstract


Background: There are many situations where walking in an actual community needs to change direction along with walking on a straight path, and this situation needs to be reflected in assessing walking ability of the community. Therefore, in this study, we tried to determine whether the assessments can distinguish the level of walking in the community.

Design: Retrospective cohort study.

Methods: Fifty-two survivors with chronic stroke have participated in the study. According to the evaluation result of 10mWT, the subjects of 0.8m/s and above were classified as the group who could walk in the community (n=22), and the subjects of 0.4m/s~0.8m/s were classified into the group who could not walk in the community (n=30). Modified Rivermead Mobility Index, Postural Assessment Scale for Stroke, Fugl-Meyer Assessment, Berg Balance Scale, 10-meter Walk Test (10mWT) were used to evaluate the motor skills. Furthermore, Activities-specific Balance Confidence Scale was used to evaluate psychological factors, and Timed Up & Go Test (TUG), Figure-of-Eight Walk Test (F8WT), Four Square Step Test (FSST), Step Test (ST) were applied to evaluate dynamic balance and mobility.

Results: As a result for distinguishing walking levels in the community, TUG was 14.25 seconds, F8WT was 13.34 seconds, FST was 19.43 seconds, and ST of affected side and non-affected side were 6.5 points and 7.5 points, respectively. TUG (AUC=0.923), F8WT (AUC=0.905), and FST (AUC=0.941) were highly accurate, but the ST of affected side and non-affected side (AUC=0.806, 0.705) showed the accuracy of the median degree, respectively.

Conclusion: To distinguish walking levels in the community of survivors with chronic stroke, TUG and FSST have been found to be the best assessment tool, and in particular, FSST could be very valuable in clinical use as the most important assessment tool to distinguish walking levels in the community.

키워드

Chronic stroke; Community walking; Discriminant Validity; Predictive Validity

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