ArticleBMC geriatrics2025
Reliability of wearable sensors single and dual-task timed up and go test among community-dwelling older women.
Article in BMC geriatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundApproximately one third of community-dwelling older adults fall each year, and older women experience roughly twice the rate and number of falls as men. The timed up and go test (TUG) is a widely used to assess mobility and fall risk. However, its ability to detect subtle gait impairments may be constrained in high-functioning older adults.
objectiveThis study aimed to evaluate the reliability of gait parameters measured by wearable inertial sensors during single-task timed up and go test (ST-TUG) and dual-task timed up and go test (DT-TUG) in community-dwelling older women, to assess their usefulness for fall-risk screening.
methodsTwenty-five cognitively healthy women (mean age 70.09 ± 3.52 years) completed ST-TUG and DT-TUG within a two-day interval. Wearable inertial sensors yielded 21 parameters, including completion time, spatiotemporal measures, coefficients of variation, and turn-related metrics. Reliability was assessed using intraclass correlation coefficients (ICC), the standard error of measurement (SEM and SEM%), and the minimal detectable change at 95% confidence (MDC95).
resultsGait spatiotemporal parameters demonstrated good to excellent test–retest reliability (ICC ≥ 0.75) under both ST and DT conditions, whereas gait variability and turn-related measures showed poor reliability (ICC < 0.50). Measurement error was slightly higher under dual-task conditions. The DT-TUG appeared more sensitive to gait disturbances relevant to fall risk.
conclusionsCombining wearable sensors with ST-TUG and DT-TUG provides reliable, repeatable measurement of core timing/pace metrics in older women. Although variability and turn-related measures exhibit limited short-interval reliability, DT-TUG may enhance early fall-risk screening when paired with detailed gait analysis.
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