Criterion validity of the instrumented Timed Up and Go test: A partial least square regression study

Caronni, Antonio; Sterpi, Irma; Antoniotti, Paola; Aristidou, Evdoxia; Nicolaci, Fortunato; Picardi, Michela; Pintavalle, Giuseppe; Redaelli, Valentina; Achille, Gianluca; Sciumè, Luciana; Corbo, Massimo

doi:10.1016/j.gaitpost.2018.01.015

Cited by 33 publications

(27 citation statements)

References 29 publications

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“…The age-related changes observed during final turning should depend on different control processes with respect to mid turning. In fact, as mid turning can be considered a measure of the postural interaction between walking and turning [42], the small steps and the pivot turn, accomplished during final turning, are strongly associated with the stability required for an efficient and safe stand-to-sit phase. Therefore, the motor control of final turning should include important anticipatory components to compensate, in advance, for the postural destabilization intrinsic in the action of stand to sit.…”

Section: The Effects Of Age Observed By the Itug Testmentioning

confidence: 99%

Age-Related Changes in Mobility Evaluated by the Timed Up and Go Test Instrumented through a Single Sensor

Mangano

Valle

Casabona

et al. 2020

Sensors

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Mobility across people with a large range of age was evaluated, for the first time, by using an instrumented timed up and go test (iTUG) based on signals acquired by a single wearable inertial sensor. Eighty healthy participants, from childhood to old age, performed the test, covering walking distances of 3 m and 7 m. Total time, temporal, and velocity parameters of linear and turning subcomponents of the test were quantified. While children, adults, and senior adults exhibited similar values for all the parameters, older adults showed increases in duration and reductions in velocity during the turning phases when compared with the other groups. an increase in velocity was observed during mid turning when the test was performed along the longer distance. Similarity across children, adults, and senior adults indicates that healthy individuals develop the abilities performed in the iTUG early, while the slowing down shown during the turning phases by the older adults may reflect the need to implement adaptive adjustments to face changes of direction. These results emphasize the idea that reducing equipment to a single sensor provides an appropriate quantification when the iTUG is used to investigate a broader age range or different levels of complexity.

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Section: The Effects Of Age Observed By the Itug Testmentioning

confidence: 99%

Age-Related Changes in Mobility Evaluated by the Timed Up and Go Test Instrumented through a Single Sensor

Mangano

Valle

Casabona

et al. 2020

Sensors

View full text Add to dashboard Cite

show abstract

“…Such parameterisation has been used across a wide range of disease states and commonly involves the use of an inertial sensor to provide linear accelerations and rotational velocities. Such approaches have good evidence for repeated testing reliability [18][19][20][21][22][23] and validity 19,24 . Moreover the sub-phase analysis from the iTUG has greater discriminatory ability than total time to complete TUG in those with mild cognitive impairment (in the absence of dementia) 25 , frailty 26 and in individuals with Parkinson's disease 27 .…”

mentioning

confidence: 99%

Association between the instrumented timed up and go test and cognitive function, fear of falling and quality of life in community dwelling people with dementia

Williams

Nyman

2018

JFSF

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Dementia is a highly prevalent neurodegenerative disorder characterised by changes in behaviour and cognition 1. The prevalence and incidence of dementia has been reported at approximately 15% and 3% respectively 2 and it has been reported to affect approximately 47 million people worldwide 1. People with dementia (PWD) show symptoms ranging from cognitive, social and motor impairment, all of which can significant affect quality of life (QoL) 3,4. PWD have been shown to have greater falls risk compared to those either with mild cognitive impairment or intact cognition 5. Indeed this appears to remain true for PWD within care homes 6 and for those within their own home, where the risk is double 5,7. In addition to a greater risk of falls, the risk of hip fracture has been found to be almost 5-fold that of matched-controls 5 and PWD are 58% more likely to be admitted to hospital with a hip fracture than those without dementia, where mortality following hip fracture can be as high as 30% 8. Therefore PWD are at great risk of injurious falling.

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“…In a study of high-functioning young seniors, the features 'Walk duration' and 'TtS maximum velocity' both had significant discriminative ability on self-reported physical function as measured by the LLFDI [18]. Turning features of the iTUG have also been found to be sensitive for testing people with impaired motor control due to neurological conditions [22][23][24], fallers [25], and in persons with mild cognitive impairment [26], which could also be explained by motor control impairment [26,27].…”

Section: Discussionmentioning

confidence: 99%

Predicting Advanced Balance Ability and Mobility with an Instrumented Timed Up and Go Test

Bergquist

Nerz

Taraldsen

et al. 2020

Sensors

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Extensive test batteries are often needed to obtain a comprehensive picture of a person’s functional status. Many test batteries are not suitable for active and healthy adults due to ceiling effects, or require a lot of space, time, and training. The Community Balance and Mobility Scale (CBMS) is considered a gold standard for this population, but the test is complex, as well as time- and resource intensive. There is a strong need for a faster, yet sensitive and robust test of physical function in seniors. We sought to investigate whether an instrumented Timed Up and Go (iTUG) could predict the CBMS score in 60 outpatients and healthy community-dwelling seniors, where features of the iTUG were predictive, and how the prediction of CBMS with the iTUG compared to standard clinical tests. A partial least squares regression analysis was used to identify latent components explaining variation in CBMS total score. The model with iTUG features was able to predict the CBMS total score with an accuracy of 85.2% (84.9–85.5%), while standard clinical tests predicted 82.5% (82.2–82.8%) of the score. These findings suggest that a fast and easily administered iTUG could be used to predict CBMS score, providing a valuable tool for research and clinical care.

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Criterion validity of the instrumented Timed Up and Go test: A partial least square regression study

Cited by 33 publications

References 29 publications

Age-Related Changes in Mobility Evaluated by the Timed Up and Go Test Instrumented through a Single Sensor

Age-Related Changes in Mobility Evaluated by the Timed Up and Go Test Instrumented through a Single Sensor

Association between the instrumented timed up and go test and cognitive function, fear of falling and quality of life in community dwelling people with dementia

Predicting Advanced Balance Ability and Mobility with an Instrumented Timed Up and Go Test

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