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Updated: Mar 19, 2026

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults
Published on: February 8, 2019
Intraindividual Changes in Ambulation Associated With Falls in a Population of Vulnerable Older Adults in Long-Term
Mary Elizabeth Bowen1, Meredeth Rowe2
1Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA.
Objective:
To examine how intraindividual changes in ambulation characteristics may be used to predict falls.
Design:
Longitudinal study design.
Setting:
Assisted living facility.
Participants:
Ambulatory older adults (N=26; mean age, 79y).
Interventions:
Not applicable.
Main Outcome Measures:
Continuous measure of average weekly ambulation characteristics (time and distance walked, speed, path measures [eg, path time and distance, number of paths (where a path is at least 60s of uninterrupted walking separated by at least a 30-s stop)]), accounting for weekly changes in these ambulation characteristics on an individual level over time along with falls (yes/no) and cognitive impairment (CI) (measured by the Montreal Cognitive Assessment).
Results:
In hierarchical linear models accounting for intraindividual changes in ambulation characteristics over the 8-month course of the study and level of CI, path distance (odds ratio, 1.02; P≤.001) was associated with an increased risk of a fall. In the short-term, intraindividual changes in path distance were associated with a fall within the 4-week interval the change was noted. Path distance had fair sensitivity (.74) and specificity (.66) to a fall (area under the curve, .70).
Conclusions:
Study findings suggest that falls may have specific predictors, specifically that older adults with CI are more likely to fall when walking continuously with little/no breaks. Interventions focused on reducing path-associated fatigue may effectively reduce fall incidence in this population.

