Literature DB >> 34438292

Normative database of postural sway measures using inertial sensors in typically developing children and young adults.

Stephanie Voss1, Cris Zampieri2, Alexandras Biskis3, Nicholas Armijo3, Nicollette Purcell3, Bichun Ouyang4, Yuanqing Liu4, Elizabeth Berry-Kravis5, Joan A O'Keefe6.   

Abstract

OBJECTIVE: Reference values utilizing the APDM MobilityLab® inertial sensor system have not been established in children and young adults ages 5-30. These values are necessary for clinicians and researchers to compare to children with balance impairments.
METHODS: A group of 144 typically developing children and young adults from age 5-30 years completed the instrumented SWAY test during 6 test conditions: normal stance, firm surface, eyes open (EO) and closed (EC); normal stance, foam surface, EO and EC; and tandem stance, firm surface, EO and EC. Selected variables for normative outcomes included total sway area, and the mean, sagittal and coronal values for RMS sway, jerk, sway velocity and path length. Sex differences were examined within age groups via t tests. The effect of age on postural sway variables was analyzed using a one-way ANOVA for the mean values of total sway area, RMS sway, velocity and jerk, followed by post-hoc pairwise comparisons.
RESULTS: All sway parameters decreased significantly with age (p < 0.0001). Adult-like total sway area and jerk were achieved by ages 9-10 except for jerk during EC on foam. RMS sway and sway velocity reached adult levels by ages 11-13 during all EO and tandem stance conditions, and 14-21 with EC during normal stance on firm and foam surfaces for RMS sway and EC on firm surfaces for velocity. Females ages 5-6 performed more poorly during EO firm and EC foam for certain variables, but better during EO tandem and females ages 7-13 outperformed males when sex differences were found. SIGNIFICANCE: These reference values can now be used by clinicians and researchers to evaluate abnormal postural sway and response to interventions in children and young adults.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  APDM MobilityLab®; Balance; Children; Inertial sensors; Normative

Mesh:

Year:  2021        PMID: 34438292      PMCID: PMC9482794          DOI: 10.1016/j.gaitpost.2021.07.014

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.746


  28 in total

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Authors:  Melissa L Peterson; Evangelos Christou; Karl S Rosengren
Journal:  Gait Posture       Date:  2005-07-05       Impact factor: 2.840

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Authors:  Mary Rose Franjoine; Joan S Gunther; Mary Jean Taylor
Journal:  Pediatr Phys Ther       Date:  2003       Impact factor: 3.049

7.  Trunk accelerometry reveals postural instability in untreated Parkinson's disease.

Authors:  Martina Mancini; Fay B Horak; Cris Zampieri; Patricia Carlson-Kuhta; John G Nutt; Lorenzo Chiari
Journal:  Parkinsonism Relat Disord       Date:  2011-06-08       Impact factor: 4.891

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Authors:  Sophie Mallau; Marianne Vaugoyeau; Christine Assaiante
Journal:  PLoS One       Date:  2010-09-29       Impact factor: 3.240

9.  Automated gait and balance parameters diagnose and correlate with severity in Parkinson disease.

Authors:  D Campbell Dewey; Svjetlana Miocinovic; Ira Bernstein; Pravin Khemani; Richard B Dewey; Ross Querry; Shilpa Chitnis; Richard B Dewey
Journal:  J Neurol Sci       Date:  2014-07-19       Impact factor: 3.181

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Journal:  J Neurosci       Date:  1982-05       Impact factor: 6.167

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  2 in total

1.  Wearable sensors detect impaired gait and coordination in LBSL during remote assessments.

Authors:  Amena Smith Fine; Miriam Kaufman; Jordan Goodman; Bela Turk; Amy Bastian; Doris Lin; Ali Fatemi; Jennifer Keller
Journal:  Ann Clin Transl Neurol       Date:  2022-03-08       Impact factor: 5.430

2.  Incongruity of Geometric and Spectral Markers in the Assessment of Body Sway.

Authors:  Stefania Sozzi; Shashank Ghai; Marco Schieppati
Journal:  Front Neurol       Date:  2022-07-18       Impact factor: 4.086

  2 in total

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