ArticlePloS one2013
Using a body-fixed sensor to identify subclinical gait difficulties in older adults with IADL disability: maximizing the output of the timed up and go.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
46 citing papers in PubMed, 2 syntheses or guidelines pooled it, 80 citations in OpenAlex.
- Instrumented Timed Up and Go Test (iTUG)-More Than Assessing Time to Predict Falls: A Systematic Review.Sensors (Basel, Switzerland) · 2023Pooled it
- Utilization of wearable technology to assess gait and mobility post-stroke: a systematic review.Journal of neuroengineering and rehabilitation · 2021Pooled it
- Clinical evaluation of a mobile sensor-based gait analysis method for outcome measurement after knee arthroplasty.Sensors (Basel, Switzerland) · 2014Trial
- Assessment of Task-Specific Gait and Balance Deficits in Chronic Low Back Pain Using Multi-Sensor Inertial Measurement Units.Sensors (Basel, Switzerland) · 2026Article
- Identifying unique gait phenotypes across neuromotor conditions using wearable inertial sensors and topological data analysis.NPJ digital medicine · 2026Article
- Six-minute walk test instrumented with a single inertial sensor: dataset from healthy adults of different ages.Scientific data · 2026Article
- Tug-vimu: a GoPro-based mobility assessment bridging the gap between technology and clinical practice.Journal of neuroengineering and rehabilitation · 2025Article
- A method for detection of functional deficiencies due to unilateral vestibular impairment using the TUG test and IMU sensors.Scientific reports · 2025Article
- Machine Learning and Statistical Analyses of Sensor Data Reveal Variability Between Repeated Trials in Parkinson's Disease Mobility Assessments.Sensors (Basel, Switzerland) · 2024Article
- Mobility Abilities Mediate the Association of a More Active Lifestyle With Mobility Disability in Older Adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024Article
- Motor and Nonmotor Measures and Declining Daily Physical Activity in Older Adults.JAMA network open · 2024Article
- Simplification of Mobility Tests and Data Processing to Increase Applicability of Wearable Sensors as Diagnostic Tools for Parkinson's Disease.Sensors (Basel, Switzerland) · 2024Article
- Evaluation of Patients' Levels of Walking Independence Using Inertial Sensors and Neural Networks in an Acute-Care Hospital.Bioengineering (Basel, Switzerland) · 2024Article
- A multimodal dataset of real world mobility activities in Parkinson's disease.Scientific data · 2023Article
- Evaluating the immediate effect of the speed alteration task on walking stability using the Timed Up and Go test.Journal of physical therapy science · 2023Article
- Factors Associated with Dual-Fluency Walk Speed Improvement after Rehabilitation in Older Patients.Journal of clinical medicine · 2022Article
- Inertial Sensor Algorithms to Characterize Turning in Neurological Patients With Turn Hesitations.IEEE transactions on bio-medical engineering · 2021Article
- Using a Stacked Autoencoder for Mobility and Fall Risk AssessmentFrontiers in physiology · 2021Article
- Different Combinations of Mobility Metrics Derived From a Wearable Sensor Are Associated With Distinct Health Outcomes in Older Adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2020Article
- SPARC Metrics Provide Mobility Smoothness Assessment in Oldest-Old With and Without a History of Falls: A Case Control Study.Frontiers in physiology · 2020Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
Abstract
objectiveThe identification and documentation of subclinical gait impairments in older adults may facilitate the appropriate use of interventions for preventing or delaying mobility disability. We tested whether measures derived from a single body-fixed sensor worn during traditional Timed Up and Go (TUG) testing could identify subclinical gait impairments in community dwelling older adults without mobility disability.
methodsWe used data from 432 older adults without dementia (mean age 83.30 ± 7.04 yrs, 76.62% female) participating in the Rush Memory and Aging Project. The traditional TUG was conducted while subjects wore a body-fixed sensor. We derived measures of overall TUG performance and different subtasks including transitions (sit-to-stand, stand-to-sit), walking, and turning. Multivariate analysis was used to compare persons with and without mobility disability and to compare individuals with and without Instrumental Activities of Daily Living disability (IADL-disability), all of whom did not have mobility disability.
resultsAs expected, individuals with mobility disability performed worse on all TUG subtasks (p<0.03), compared to those who had no mobility disability. Individuals without mobility disability but with IADL disability had difficulties with turns, had lower yaw amplitude (p<0.004) during turns, were slower (p<0.001), and had less consistent gait (p<0.02).
conclusionsA single body-worn sensor can be employed in the community-setting to complement conventional gait testing. It provides a wide range of quantitative gait measures that appear to help to identify subclinical gait impairments in older adults.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.