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Walking while talking and falls in aging.

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Summary
This summary is machine-generated.

The walking while talking (WWT) task effectively predicts falls in older adults. Gait pace during WWT is a key indicator for fall risk assessment and intervention development.

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Area of Science:

  • Gerontology
  • Biomechanics
  • Neuroscience

Background:

  • Divided attention tasks are known fall predictors in older adults.
  • A detailed examination of the walking while talking (WWT) task's predictive validity for falls is needed.

Purpose of the Study:

  • To assess the validity of the WWT task for predicting incident falls in older adults.
  • To identify specific gait markers during WWT that are associated with fall risk.

Main Methods:

  • 646 older adults (mean age 79.9 years) underwent quantitative gait assessments during a WWT task.
  • Cox regression models analyzed associations between 8 gait markers (individually and by factor analysis) and incident falls over 2.6 years.
  • Analyses were adjusted for confounders and normal-pace walking.

Main Results:

  • Over 52% of participants fell during the follow-up period.
  • Reduced step length during WWT was a significant individual predictor of falls.
  • A 'pace' gait domain derived from WWT performance also significantly predicted falls, independent of confounders.

Conclusions:

  • WWT performance is a significant predictor of falls in older adults.
  • Gait domains during WWT, particularly pace, show promise for improving fall risk assessment.
  • Further research into WWT gait domains can inform new fall prevention strategies.