Literature DB >> 28862042

The Component Timed-Up-and-Go test: the utility and psychometric properties of using a mobile application to determine prosthetic mobility in people with lower limb amputations.

Sheila M Clemens1,2, Robert S Gailey1,2,3, Christopher L Bennett4, Paul F Pasquina3,5, Neva J Kirk-Sanchez1, Ignacio A Gaunaurd1,2.   

Abstract

OBJECTIVE: Using a custom mobile application to evaluate the reliability and validity of the Component Timed-Up-and-Go test to assess prosthetic mobility in people with lower limb amputation.
DESIGN: Cross-sectional design.
SETTING: National conference for people with limb loss.
SUBJECTS: A total of 118 people with non-vascular cause of lower limb amputation participated. Subjects had a mean age of 48 (±13.7) years and were an average of 10 years post amputation. Of them, 54% ( n = 64) of subjects were male. INTERVENTION: None. MAIN MEASURE: The Component Timed-Up-and-Go was administered using a mobile iPad application, generating a total time to complete the test and five component times capturing each subtask (sit to stand transitions, linear gait, turning) of the standard timed-up-and-go test. The outcome underwent test-retest reliability using intraclass correlation coefficients (ICCs) and convergent validity analyses through correlation with self-report measures of balance and mobility.
RESULTS: The Component Timed-Up-and-Go exhibited excellent test-retest reliability with ICCs ranging from .98 to .86 for total and component times. Evidence of discriminative validity resulted from significant differences in mean total times between people with transtibial (10.1 (SD: ±2.3)) and transfemoral (12.76 (SD: ±5.1) amputation, as well as significant differences in all five component times ( P < .05). Convergent validity of the Component Timed-Up-and-Go was demonstrated through moderate correlations with the PLUS-M ( rs = -.56).
CONCLUSION: The Component Timed-Up-and-Go is a reliable and valid clinical tool for detailed assessment of prosthetic mobility in people with non-vascular lower limb amputation. The iPad application provided a means to easily record data, contributing to clinical utility.

Entities:  

Keywords:  Amputation; mobile health applications; outcome measures; prosthetic mobility; timed-up-and-go

Mesh:

Year:  2017        PMID: 28862042     DOI: 10.1177/0269215517728324

Source DB:  PubMed          Journal:  Clin Rehabil        ISSN: 0269-2155            Impact factor:   3.477


  6 in total

1.  Using Clinical Balance Tests to Assess Fall Risk among Established Unilateral Lower Limb Prosthesis Users: Cutoff Scores and Associated Validity Indices.

Authors:  Andrew Sawers; Brian J Hafner
Journal:  PM R       Date:  2019-05-03       Impact factor: 2.298

2.  Deleterious Musculoskeletal Conditions Secondary to Lower Limb Loss: Considerations for Prosthesis-Related Factors.

Authors:  Ashley D Knight; Christopher L Dearth; Brad D Hendershot
Journal:  Adv Wound Care (New Rochelle)       Date:  2020-05-22       Impact factor: 4.730

3.  Assessment of turning performance and muscle coordination in individuals post-stroke.

Authors:  Lindsey K Lewallen; Shraddha Srivastava; Steven A Kautz; Richard R Neptune
Journal:  J Biomech       Date:  2020-11-19       Impact factor: 2.712

4.  Subtask Segmentation of Timed Up and Go Test for Mobility Assessment of Perioperative Total Knee Arthroplasty.

Authors:  Chia-Yeh Hsieh; Hsiang-Yun Huang; Kai-Chun Liu; Kun-Hui Chen; Steen Jun-Ping Hsu; Chia-Tai Chan
Journal:  Sensors (Basel)       Date:  2020-11-05       Impact factor: 3.576

5.  Use of a Single Wearable Sensor to Evaluate the Effects of Gait and Pelvis Asymmetries on the Components of the Timed Up and Go Test, in Persons with Unilateral Lower Limb Amputation.

Authors:  Maria Stella Valle; Antonino Casabona; Ilenia Sapienza; Luca Laudani; Alessandro Vagnini; Sara Lanza; Matteo Cioni
Journal:  Sensors (Basel)       Date:  2021-12-24       Impact factor: 3.576

6.  Deep Learning-Based Subtask Segmentation of Timed Up-and-Go Test Using RGB-D Cameras.

Authors:  Yoonjeong Choi; Yoosung Bae; Baekdong Cha; Jeha Ryu
Journal:  Sensors (Basel)       Date:  2022-08-23       Impact factor: 3.847

  6 in total

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