Literature DB >> 29544156

Age related differences in segment coordination and its variability during gait.

Jocelyn F Hafer1, Katherine A Boyer2.   

Abstract

BACKGROUND: Aging is associated with a loss of mobility and altered gait mechanics. Loss of function and mobility may be due to or exacerbated by low levels of physical activity in the aged. The mechanisms linking age-related changes in physiology, altered mobility and gait may be elucidated by examining movement coordination and coordination variability. RESEARCH QUESTION: The purpose of this study was to examine the impacts of age and habitual physical activity level on segment coordination and coordination variability during gait.
METHODS: A modified vector coding technique was used to calculate segment coordination and coordination variability during treadmill gait for three groups of healthy adults: young (21-35 years), older highly active (55-70 years), and older less active (55-70 years). Segment couples of interest included those whose coordination could contribute to typical age-related changes in gait mechanics at the hip, knee, and ankle.
RESULTS: Differences in coordination and its variability occurred mainly during terminal swing and midstance and in couples across the hip and ankle. Across the hip, coordination differed between older highly active adults and the other cohorts, while variability was higher in young compared to all older adults. Across the ankle, young adults displayed different coordination and greater variability than all older adults except for the sagittal couple in midstance, where older highly active adults had greater coordination variability than the other cohorts. SIGNIFICANCE: These results suggest that older adults, independent of habitual physical activity, may use a different strategy to control hip and ankle motion during periods of single-limb stance.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Motor control; Older adults; Physical activity; Vector coding

Mesh:

Year:  2018        PMID: 29544156     DOI: 10.1016/j.gaitpost.2018.02.021

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


  5 in total

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  5 in total

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