Literature DB >> 30594872

What features of the built environment matter most for mobility? Using wearable sensors to capture real-time outdoor environment demand on gait performance.

Erica Twardzik1, Kate Duchowny2, Amby Gallagher3, Neil Alexander4, Debra Strasburg4, Natalie Colabianchi5, Philippa Clarke6.   

Abstract

BACKGROUND: A growing body of research has demonstrated relationships between built environment characteristics and outdoor mobility. However, most of this work has relied on composite scores of the built environment. RESEARCH QUESTION: Which properties of the outdoor built environment are associated with the greatest change in gait metrics in a real-world setting?
METHODS: 25 community-dwelling adults from Southeast Michigan were equipped with mobile inertial measurement units and walked a 1300-meter outdoor course with varying environmental demands. Environmental properties were documented in sections of the course using the Senior Walking Environmental Assessment Tool. Gait speed, left foot cadence, and stride length were used to identify the built environment properties under which mobility was most challenged using linear mixed models. We hypothesized that subjects would adapt to demanding environments by decreasing gait speed, increasing cadence, and shortening stride length.
RESULTS: Properties of the built environment were significantly associated with changes in gait speed, left foot cadence, and stride length. Properties that were most important for predicting gait speed included slope, sidewalk condition, and presence of holes. Sidewalk slope, bumps, and the presence of a curb cut were all significant predictors of left foot cadence. Mean stride length of the outdoor course was significantly associated with the section's condition, slope, holes, bumps, width, and the presence of grooves and bumps at a curb. SIGNIFICANCE: Associations between environmental properties and gait parameters were differential across the three mobility outcomes. When examining which properties of the built environment are challenging to navigate it is important to understand the relative influence of specific properties on gait metrics. Knowledge of which built environment properties are barriers for walking behavior is critical for the design of inclusive sidewalks and streets.
Copyright © 2018 Elsevier B.V. All rights reserved.

Keywords:  Built environment; Cadence; Gait speed; Inertial measurement units; Step length

Mesh:

Year:  2018        PMID: 30594872     DOI: 10.1016/j.gaitpost.2018.12.028

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


  8 in total

1.  How healthy older adults regulate lateral foot placement while walking in laterally destabilizing environments.

Authors:  Meghan E Kazanski; Joseph P Cusumano; Jonathan B Dingwell
Journal:  J Biomech       Date:  2020-02-25       Impact factor: 2.712

2.  Life-Space Mobility and Parkinson's Disease. A Multiple-Methods Study.

Authors:  Charlotte Ryder-Burbidge; Marguerite Wieler; Candace I J Nykiforuk; C Allyson Jones
Journal:  Mov Disord Clin Pract       Date:  2022-01-19

3.  Walking humans trade off different task goals to regulate lateral stepping.

Authors:  Anna C Render; Meghan E Kazanski; Joseph P Cusumano; Jonathan B Dingwell
Journal:  J Biomech       Date:  2021-02-10       Impact factor: 2.712

4.  The Impact of Environment on Gait Assessment: Considerations from Real-World Gait Analysis in Dementia Subtypes.

Authors:  Ríona Mc Ardle; Silvia Del Din; Paul Donaghy; Brook Galna; Alan J Thomas; Lynn Rochester
Journal:  Sensors (Basel)       Date:  2021-01-26       Impact factor: 3.576

Review 5.  Use of Connected Technologies to Assess Barriers and Stressors for Age and Disability-Friendly Communities.

Authors:  Preeti Zanwar; Jinwoo Kim; Jaeyoon Kim; Michael Manser; Youngjib Ham; Theodora Chaspari; Changbum Ryan Ahn
Journal:  Front Public Health       Date:  2021-03-11

6.  Using a Deep Learning Method and Data from Two-Dimensional (2D) Marker-Less Video-Based Images for Walking Speed Classification.

Authors:  Tasriva Sikandar; Mohammad F Rabbi; Kamarul H Ghazali; Omar Altwijri; Mahdi Alqahtani; Mohammed Almijalli; Saleh Altayyar; Nizam U Ahamed
Journal:  Sensors (Basel)       Date:  2021-04-17       Impact factor: 3.576

7.  Egocentric vision-based detection of surfaces: towards context-aware free-living digital biomarkers for gait and fall risk assessment.

Authors:  Mina Nouredanesh; Alan Godfrey; Dylan Powell; James Tung
Journal:  J Neuroeng Rehabil       Date:  2022-07-22       Impact factor: 5.208

8.  Effects of age, physical and self-perceived balance abilities on lateral stepping adjustments during competing lateral balance tasks.

Authors:  Meghan E Kazanski; Jonathan B Dingwell
Journal:  Gait Posture       Date:  2021-05-27       Impact factor: 2.746

  8 in total

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