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Path Tortuosity In Everyday Movements Of Elderly Persons Increases Fall Prediction Beyond Knowledge Of Fall History, Medication Use, And Standardized Gait And Balance Assessments., William D. Kearns Phd, James L. Fozard Phd, Marion Becker Rn/Phd, Jan M. Jasiewicz Phd, Jeffrey D. Craighead Phd, Lori Holtsclaw Ba, Charles Dion Ma
Path Tortuosity In Everyday Movements Of Elderly Persons Increases Fall Prediction Beyond Knowledge Of Fall History, Medication Use, And Standardized Gait And Balance Assessments., William D. Kearns Phd, James L. Fozard Phd, Marion Becker Rn/Phd, Jan M. Jasiewicz Phd, Jeffrey D. Craighead Phd, Lori Holtsclaw Ba, Charles Dion Ma
William D. Kearns, PhD
Abstract Objectives: We hypothesized that variability in voluntary movement paths of assisted living facility (ALF) residents would be greater in the week preceding a fall compared with residents who did not fall. Design: Prospective, observational study using telesurveillance technology. Setting: Two ALFs. Participants: The sample consisted of 69 older ALF residents (53 female) aged 76.9 (SD=11.9 years). Measurement: Daytime movement in ALF common use areas was automatically tracked using a commercially available ultra-wideband radio real-time location sensor network with a spatial resolution of approximately 20 cm. Movement path variability (tortuosity) was gauged using fractal dimension (fractal D). A logistic regressionwas …