Literature DB >> 30594868

Biomechanical analysis of the timed up-and-go (TUG) test in children with and without Down syndrome.

Matthew Beerse1, Michael Lelko2, Jianhua Wu3.   

Abstract

BACKGROUND: The timed up-and-go (TUG) test consists of multiple functional activities of daily living performed in a sequence, with the goal to complete the test as quickly as possible. Considering children with Down syndrome (DS) have been shown to take longer to complete the TUG test, it is imperative to identify which tasks are problematic for this population in order to individualize physical interventions. RESEARCH QUESTION: Is the biomechanical pattern of each functional task during the TUG test different between children with DS and typically developing (TD) children?
METHODS: Thirteen children with DS and thirteen TD children aged 5-11 years old completed the TUG test. Kinematic data was captured using a Vicon motion capture system. We visually coded the TUG test into five phases: sit-to-stand, walk-out, turn-around, walk-in, and stand-to-sit. We focused on the center-of-mass (COM) movement in the sit-to-stand phase, spatiotemporal parameters in the walk-out phase, and intersegmental coordination in the turn-around phase. RESULTS AND SIGNIFICANCE: Children with DS took longer to complete the entire test, as well as each of the five phases. During the sit-to-stand phase, children with DS produced smaller peak vertical COM velocity, medial-lateral COM excursion, and peak knee and hip extension velocity compared to TD peers. Children with DS walked at a slower velocity during the walk-out phase. Both groups demonstrated a similar intersegmental coordination pattern between the head, thorax, and pelvis during the turn-around phase although children with DS had slower average and peak angular velocity at the head, thorax, and pelvis. Our results suggest that children with DS were less able to anticipate transitioning between motor tasks and took longer to initiate motor tasks. Our TUG analysis provides the detailed insights to help evaluate individual motor tasks as well as the transition from one task to another for clinical populations. Published by Elsevier B.V.

Entities:  

Keywords:  Center of mass; Down syndrome; Intersegmental coordination; Sit-to-stand; Turn-around

Mesh:

Year:  2018        PMID: 30594868     DOI: 10.1016/j.gaitpost.2018.12.027

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  4 in total

1.  Relationship between the skeletal muscle mass index and physical activity of Japanese children: A cross-sectional, observational study.

Authors:  Tadashi Ito; Hideshi Sugiura; Yuji Ito; Koji Noritake; Nobuhiko Ochi
Journal:  PLoS One       Date:  2021-05-26       Impact factor: 3.240

2.  Effect of virtual reality therapy, combined with physiotherapy for improving motor proficiency in individuals with Down syndrome: A systematic review.

Authors:  Jessica Stander; Jennifer C du Preez; Chantel Kritzinger; Natasha M Obermeyer; Silke Struwig; Nikki van Wyk; Jessica Zaayman; Marlette Burger
Journal:  S Afr J Physiother       Date:  2021-05-20

3.  HR1 Robot: An Assistant for Healthcare Applications.

Authors:  Valentina Vasco; Alexandre G P Antunes; Vadim Tikhanoff; Ugo Pattacini; Lorenzo Natale; Valerio Gower; Marco Maggiali
Journal:  Front Robot AI       Date:  2022-02-07

4.  Using the TUG Test for the Functional Assessment of Patients with Selected Disorders.

Authors:  Krzysztof Graff; Ewa Szczerbik; Małgorzata Kalinowska; Katarzyna Kaczmarczyk; Agnieszka Stępień; Małgorzata Syczewska
Journal:  Int J Environ Res Public Health       Date:  2022-04-11       Impact factor: 4.614

  4 in total

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