Changes in Spatiotemporal Differences Between the Sexes due to Paired Walking

Abstract

As social beings, much of our everyday lives are spent in interaction with others, yet the vast majority of gait studies examine solo walking without any distraction. It is largely unknown how walking in a dyad, both with and without talking, affects gait speed, cadence, and step length of adults; however, these same metrics dictate design parameters for widely varying fields from rehabilitation goals and ergonomic environments to animation models and surveillance objectives. This study examined the differences in spatiotemporal metrics between solo and paired walking for same- and opposite-sex pairs while using talking as a method of distraction. Results from 12 female-female (F-F), 10 female-male (F-M), and 12 male-male (M-M) pairs were analyzed. Significant changes from solo walking were only found with opposite-sex pairs (p<0.05), with women (F-M/female) increasing speed and men (F-M/male) decreasing speed. Unlike solo walking, changes in speed during paired walking were driven by alterations to step length with very minimal change in cadence. When subjects were directed to talk while walking, both solo and as a pair, gait speed decreased significantly by 4-5%. Because significant changes were observed in paired versus solo walking, both with and without distraction, there may be reason to reevaluate and develop environment-specific rehabilitation goals and normative metrics.

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Document Details

Document Type
Technical Report
Publication Date
Jun 29, 2016
Accession Number
ADA637020

Entities

People

  • Charles Goodyear
  • Dustin Bruening
  • Rebecca Frimenko

Organizations

  • Infoscitex Corporation

Tags

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  • Human Systems

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  • Abstracts
  • Air Force
  • Air Force Facilities
  • Air Force Research Laboratories
  • Analysis Of Variance
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  • Environment
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  • Military Research
  • Motor Skills
  • Surveillance
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Readers

  • Computer Engineering
  • Rehabilitation and Prosthetic Care for Military Service Members and Veterans with Limb Loss or Disability.
  • Systems Analysis and Design