Dual-Task Performance and Neurodegeneration: Correlations Between Timed Up-and-Go Dual-Task Test Outcomes and Alzheimer’s Disease Cerebrospinal Fluid Biomarkers

Åhman, Hanna Bozkurt; Giedraitis, Vilmantas; Cedervall, Ylva; Lennhed, B; Berglund, Lars; McKee, Kevin; Kilander, Lena; Rosendahl, Erik; Ingelsson, Martin; Åberg, Anna Cristina

doi:10.3233/jad-181265

Cited by 31 publications

(44 citation statements)

References 59 publications

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“…The data collection procedures used in UDDGait have been described previously [31]. The patients' diagnostic assessments and the TUG tests were blinded since the diagnoses were not known when the TUG tests were performed.…”

Section: Data Collectionmentioning

confidence: 99%

Dual-task tests discriminate between dementia, mild cognitive impairment, subjective cognitive impairment, and healthy controls – a cross-sectional cohort study

et al. 2020

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Background: Discrimination between early-stage dementia and other cognitive impairment diagnoses is central to enable appropriate interventions. Previous studies indicate that dual-task testing may be useful in such differentiation. The objective of this study was to investigate whether dual-task test outcomes discriminate between groups of individuals with dementia disorder, mild cognitive impairment, subjective cognitive impairment, and healthy controls. Methods: A total of 464 individuals (mean age 71 years, 47% women) were included in the study, of which 298 were patients undergoing memory assessment and 166 were cognitively healthy controls. Patients were grouped according to the diagnosis received: dementia disorder, mild cognitive impairment, or subjective cognitive impairment. Data collection included participants' demographic characteristics. The patients' cognitive test results and diagnoses were collected from their medical records. Healthy controls underwent the same cognitive tests as the patients. The mobility test Timed Up-and-Go (TUG single-task) and two dual-task tests including TUG (TUGdt) were carried out: TUGdt naming animals and TUGdt months backwards. The outcomes registered were: time scores for TUG single-task and both TUGdt tests, TUGdt costs (relative time difference between TUG single-task and TUGdt), number of different animals named, number of months recited in correct order, number of animals per 10 s, and number of months per 10 s. Logistic regression models examined associations between TUG outcomes pairwise between groups.

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Section: Data Collectionmentioning

confidence: 99%

Dual-task tests discriminate between dementia, mild cognitive impairment, subjective cognitive impairment, and healthy controls – a cross-sectional cohort study

et al. 2020

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“…The time-related outcomes are interesting since they are the most established outcomes from dual-task testing and may, hence, provide opportunities for comparisons with other research results. Additionally, an UDDGait sub-study of 90 participants (age range 49-84 years) undergoing memory assessment showed that the number of correct animals named, as well as the number of correct animals named per ten seconds during TUGdt, correlated with biomarkers for AD (t-tau and p-tau) [54] and that preliminary UDDGait baseline results [55] have also indicated that TUGdt outcomes "words per time unit", i.e., "animals per 10 s" and "months per 10 s" can discriminate between groups of individuals with early-stage dementia diagnoses, MCI, SCI, and healthy controls.…”

Section: Discussionmentioning

confidence: 99%

Timed Up-and-Go Dual-Task Testing in the Assessment of Cognitive Function: A Mixed Methods Observational Study for Development of the UDDGait Protocol

Cedervall

Stenberg

Åhman

et al. 2020

IJERPH

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New methods to screen for and identify early-stage dementia disorders are highly sought after. The purpose of this pilot study is to develop a study protocol for a dual-task test aimed at aiding the early detection of dementia disorders. We used the Timed Up-and-Go (TUG) test, which is a mobility task involving starting in a sitting position, standing up, walking three meters to cross a line on the floor, turning around, walking back and sitting down again. We combined TUG with the verbal task of naming different animals. Pilot study participants were 43 individuals with and without established dementia diagnoses who attended a clinic for memory assessment. Video-recorded test performances were systematically analysed. Deviant test performances concerning the interplay between test administration and participants’ responses to the assessment instructions were revealed and led to refinements being made to the final study protocol. Exploration of the dual-task test outcome measures in a sub-sample of 22 persons, ten with and twelve without dementia, indicated that step-length and number of named animals after the turning point of the dual-task test might constitute appropriate measures for examining this kind of sample. We concluded that the refined study protocol is feasible for testing individuals undergoing initial memory assessments and healthy controls. Follow-up studies with larger samples are being carried out and will bring new knowledge to this area of research. It may also provide an opportunity for further studies exploring possibilities for broad clinical implementation.

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“…It is noteworthy that several results presented, in general, calculations of the individuals' angles of movements or the speed and acceleration throughout the test. Several statistical methods and people of different ages were used for differentiating and defining patterns, which allowed for validation of the studies [47][48][49][50][51][52]. There are different types of TUG tests, including the standard TUG test, the Extended TUG test, the Smart Insole TUG test, and the Instrumented TUG test.…”

Section: Introductionmentioning

confidence: 99%

Is The Timed-Up and Go Test Feasible in Mobile Devices? A Systematic Review

et al. 2020

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The number of older adults is increasing worldwide, and it is expected that by 2050 over 2 billion individuals will be more than 60 years old. Older adults are exposed to numerous pathological problems such as Parkinson’s disease, amyotrophic lateral sclerosis, post-stroke, and orthopedic disturbances. Several physiotherapy methods that involve measurement of movements, such as the Timed-Up and Go test, can be done to support efficient and effective evaluation of pathological symptoms and promotion of health and well-being. In this systematic review, the authors aim to determine how the inertial sensors embedded in mobile devices are employed for the measurement of the different parameters involved in the Timed-Up and Go test. The main contribution of this paper consists of the identification of the different studies that utilize the sensors available in mobile devices for the measurement of the results of the Timed-Up and Go test. The results show that mobile devices embedded motion sensors can be used for these types of studies and the most commonly used sensors are the magnetometer, accelerometer, and gyroscope available in off-the-shelf smartphones. The features analyzed in this paper are categorized as quantitative, quantitative + statistic, dynamic balance, gait properties, state transitions, and raw statistics. These features utilize the accelerometer and gyroscope sensors and facilitate recognition of daily activities, accidents such as falling, some diseases, as well as the measurement of the subject’s performance during the test execution.

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Dual-Task Performance and Neurodegeneration: Correlations Between Timed Up-and-Go Dual-Task Test Outcomes and Alzheimer’s Disease Cerebrospinal Fluid Biomarkers

Cited by 31 publications

References 59 publications

Dual-task tests discriminate between dementia, mild cognitive impairment, subjective cognitive impairment, and healthy controls – a cross-sectional cohort study

Dual-task tests discriminate between dementia, mild cognitive impairment, subjective cognitive impairment, and healthy controls – a cross-sectional cohort study

Timed Up-and-Go Dual-Task Testing in the Assessment of Cognitive Function: A Mixed Methods Observational Study for Development of the UDDGait Protocol

Is The Timed-Up and Go Test Feasible in Mobile Devices? A Systematic Review

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