Background and Purpose: The purpose of this study was to determine how different cognitive dual-tasks impact gaitvariability in community-dwelling adults using the Quantitative Timed Up and Go (QTUG). Methods: Participants aged 65 and older were recruited from two communities in Iowa and Wisconsin. Inclusion criteria: theability to stand and ambulate without an assistive device, having no orthopedic surgical procedures in the previous six weeks, living independently in the community, demonstrating corrected vision and ability to read, sufficient auditory function to carry on a conversation and ability to follow directions. Participants needed to follow three step commands and have no history of falls inthe past 30 days. Participant’s demographic data included height, weight, BMI, gender, fall history for 12 months, number ofmedications, education, and age. The Activities-specific Balance Confidence Scale (ABC) and Screening Assessment for Falls Evaluation (SAFE) tests were administered. The QTUG body-worn sensors were applied on participant’s shins to record data for temporal and spatial gait parameters. Each participant performed the TUG test 10 times. The first two TUG tests were used as a control; then, participants performed two trials in random order for each of the four distinct dual cognitive tasks. Serial subtraction tasks (Subtract), reading tasks(Read), auditory response naming questions (Audible), and visual confrontation naming pictures (Visual) conditions were used as a dual-cognitive task. Results: Forty-four participants (30 female, 14 male) with mean age 73.11 years were included in the study. The dual-taskcosts of Subtract was significantly different (p There was a significant p Conclusion: Of the four dual-task conditions, the cognitive task of Subtract significantly impacts dual task costs for TUG recording times, stride time, step time, stance time, stride length, stride velocity, and cadence. The four cognitive conditions (reading, answering a question, identifying pictures by name, and serial subtraction) impact gait differently as measured by theQTUG. The QTUG was able to distinguish fallers from non-fallers under all cognitive conditions for TUG pre-turn time. Create bold facebook comments with TextFancy.com, convert and browse unicode characters. Generate ascii art and play with text.
| Date of Award | Jan 1 2020 |
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| Original language | English |
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| Supervisor | Mary T Blackinton (Supervisor), Joann Gallichio (Advisor) & Mirtha Whaley (Advisor) |
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