Literature DB >> 28290192

Further construct validity of the Timed Up-and-Go Test as a measure of ambulation in multiple sclerosis patients.

Alon Kalron1, Mark Dolev2, Uri Givon2,3.   

Abstract

BACKGROUND: The importance of mobility impairments in people with multiple sclerosis (PwMS) denotes a need for valid, reliable, sensitive and feasible clinical measuring tools. The Timed Up-and-Go (TUG) test is a unique mobility measure as it captures other functions apart from walking, i.e., rising out of a chair or turning around an object. AIM: To expand the construct validity of the TUG test in PwMS and determine the ability of the TUG score to discriminate between four levels of disability between fallers, recurrent fallers and non-fallers.
DESIGN: Cross-sectional.
SETTING: Multiple Sclerosis Center, Sheba Medical Center, Israel. POPULATION: A total of 285 PwMS (176 women) with a mean disease duration of 8.1±8.1 years.
METHODS: We retrospectively evaluated and analyzed computerized data of the TUG test, Four Square Step Test (FSST), posturography measures, 2-minute Walk Test (2mWT), Timed 25-foot Walk Test, fall status, Falls Efficacy Scale - International, Modified Fatigue Impact Scale, instrumented cognitive assessment, and the Multiple Sclerosis Walking Scale self-reported questionnaire.
RESULTS: The TUG score of the total sample was 9.3±5.1. In terms of the disability subgroups, significant differences were observed between the four groups with the exception of "very mild" to "mild" groups. In terms of fall status, the MS recurrent fallers demonstrated a significantly slower TUG compared to the MS non-fallers. Strong-modest significant correlation scores were found between the TUG and ambulation tests. The strongest scores were found for the FSST and 2MWT; Pearson's r=0.740, -0.731, respectively.
CONCLUSIONS: The current study broadens the evidence supporting the usage of the TUG test to assess walking and balance performance in PwMS regardless of the patient's cognitive status. Furthermore, the test can aid in identifying PwMS who are at a high risk of falling. CLINICAL REHABILITATION IMPACT: The TUG test is an excellent tool used to assess mobility capabilities in PwMS, monitor disease progression and identify potential MS fallers.

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Year:  2017        PMID: 28290192     DOI: 10.23736/S1973-9087.17.04599-3

Source DB:  PubMed          Journal:  Eur J Phys Rehabil Med        ISSN: 1973-9087            Impact factor:   2.874


  9 in total

1.  Effects of Nonconsecutive Sessions of Transcranial Direct Current Stimulation and Stationary Cycling on Walking Capacity in Individuals With Multiple Sclerosis.

Authors:  Sarvenaz Rahimibarghani; Mohaddeseh Azadvari; Seyede Zahra Emami-Razavi; Mohammad Hossein Harirchian; Shahram Rahimi-Dehgolan; Hamid R Fateh
Journal:  Int J MS Care       Date:  2022-06-22

2.  Efficacy of Transcranial Direct Current Stimulation (tDCS) on Balance and Gait in Multiple Sclerosis Patients: A Machine Learning Approach.

Authors:  Nicola Marotta; Alessandro de Sire; Cinzia Marinaro; Lucrezia Moggio; Maria Teresa Inzitari; Ilaria Russo; Anna Tasselli; Teresa Paolucci; Paola Valentino; Antonio Ammendolia
Journal:  J Clin Med       Date:  2022-06-17       Impact factor: 4.964

3.  Identifying falls remotely in people with multiple sclerosis.

Authors:  Valerie J Block; Erica A Pitsch; Arpita Gopal; Chao Zhao; Mark J Pletcher; Gregory M Marcus; Jeffrey E Olgin; Jill Hollenbach; Riley Bove; Bruce A C Cree; Jeffrey M Gelfand
Journal:  J Neurol       Date:  2021-08-17       Impact factor: 4.849

4.  Intensive Multimodal Training to Improve Gait Resistance, Mobility, Balance and Cognitive Function in Persons With Multiple Sclerosis: A Pilot Randomized Controlled Trial.

Authors:  Johanna Jonsdottir; Elisa Gervasoni; Thomas Bowman; Rita Bertoni; Eleonora Tavazzi; Marco Rovaris; Davide Cattaneo
Journal:  Front Neurol       Date:  2018-09-28       Impact factor: 4.003

5.  Sensorimotor function in progressive multiple sclerosis.

Authors:  Jules D Miehm; John Buonaccorsi; Jongil Lim; Sumire Sato; Caitlin Rajala; Julianna Averill; Farnaz Khalighinejad; Carolina Ionete; Stephanie L Jones; Jane A Kent; Richard Ea van Emmerik
Journal:  Mult Scler J Exp Transl Clin       Date:  2020-08-31

6.  The Effectiveness of Physiotherapy Interventions for Mobility in Severe Multiple Sclerosis: A Systematic Review and Meta-Analysis.

Authors:  Tarub Binshalan; Krishnan Padmakumari Sivaraman Nair; Alisdair McNeill
Journal:  Mult Scler Int       Date:  2022-07-11

7.  Effects of vibration training on motor and non-motor symptoms for patients with multiple sclerosis: A systematic review and meta-analysis.

Authors:  Yang Zhang; Peng Xu; Yu Deng; Wenxiu Duan; Juncai Cui; Chaomin Ni; Ming Wu
Journal:  Front Aging Neurosci       Date:  2022-08-05       Impact factor: 5.702

8.  The use of functional near infrared spectroscopy and gait analysis to characterize cognitive and motor processing in early-stage patients with multiple sclerosis.

Authors:  Maria Adelia de Aratanha; Joana Bisol Balardin; Carolina Cardoso do Amaral; Shirley S Lacerda; Tiago Abrão Setrak Sowmy; Theodore J Huppert; Rodrigo Barbosa Thomaz; Danielli S Speciali; Birajara Machado; Elisa Harumi Kozasa
Journal:  Front Neurol       Date:  2022-08-29       Impact factor: 4.086

9.  COVID-19 Modifications for Remote Teleassessment and Teletraining of a Complementary Alternative Medicine Intervention for People With Multiple Sclerosis: Protocol for a Randomized Controlled Trial.

Authors:  Byron Lai; Chia-Ying Chiu; Emily Pounds; Tracy Tracy; Tapan Mehta; Hui-Ju Young; Emily Riser; James Rimmer
Journal:  JMIR Res Protoc       Date:  2020-07-03
  9 in total

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