Dataset Information

Multivariate Analyses and Classification of Inertial Sensor Data to Identify Aging Effects on the Timed-Up-and-Go Test.

ABSTRACT: Many tests can crudely quantify age-related mobility decrease but instrumented versions of mobility tests could increase their specificity and sensitivity. The Timed-up-and-Go (TUG) test includes several elements that people use in daily life. The test has different transition phases: rise from a chair, walk, 180° turn, walk back, turn, and sit-down on a chair. For this reason the TUG is an often used test to evaluate in a standardized way possible decline in balance and walking ability due to age and or pathology. Using inertial sensors, qualitative information about the performance of the sub-phases can provide more specific information about a decline in balance and walking ability. The first aim of our study was to identify variables extracted from the instrumented timed-up-and-go (iTUG) that most effectively distinguished performance differences across age (age 18-75). Second, we determined the discriminative ability of those identified variables to classify a younger (age 18-45) and older age group (age 46-75). From healthy adults (n = 59), trunk accelerations and angular velocities were recorded during iTUG performance. iTUG phases were detected with wavelet-analysis. Using a Partial Least Square (PLS) model, from the 72-iTUG variables calculated across phases, those that explained most of the covariance between variables and age were extracted. Subsequently, a PLS-discriminant analysis (DA) assessed classification power of the identified iTUG variables to discriminate the age groups. 27 variables, related to turning, walking and the stand-to-sit movement explained 71% of the variation in age. The PLS-DA with these 27 variables showed a sensitivity and specificity of 90% and 85%. Based on this model, the iTUG can accurately distinguish young and older adults. Such data can serve as a reference for pathological aging with respect to a widely used mobility test. Mobility tests like the TUG supplemented with smart technology could be used in clinical practice.

SUBMITTER: Vervoort D

PROVIDER: S-EPMC4894562 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Multivariate Analyses and Classification of Inertial Sensor Data to Identify Aging Effects on the Timed-Up-and-Go Test.

Vervoort Danique D Vuillerme Nicolas N Kosse Nienke N Hortobágyi Tibor T Lamoth Claudine J C CJ

PloS one 20160606 6

Many tests can crudely quantify age-related mobility decrease but instrumented versions of mobility tests could increase their specificity and sensitivity. The Timed-up-and-Go (TUG) test includes several elements that people use in daily life. The test has different transition phases: rise from a chair, walk, 180° turn, walk back, turn, and sit-down on a chair. For this reason the TUG is an often used test to evaluate in a standardized way possible decline in balance and walking ability due to a ...[more]

PMID: 27271994

Similar Datasets

Project description:Background:Simple, easy-to-perform, safe and cost-effective methods for the prediction of adverse outcomes in older adults are essential for the identification of patients who are most likely to benefit from early preventive interventions. Methods:The study included 160 community-dwelling individuals aged 60-74 years, with 44.4% women. A comprehensive geriatric assessment was performed in all participants. Bioimpedance body composition analysis included 149 subjects. Among other tests, functional assessment included the Barthel Index of Activities of Daily Living (Barthel Index), Mini-Mental State Examination (MMSE), Timed Up and Go (TUG) and Fried frailty phenotype. Follow-up by telephone was made after at least 365 days. The composite endpoint (CE) included fall, hospitalization, institutionalization and death. Results:Cohort characteristics: age 66.8±4.2 years (mean±SD), 3.81±2.23 diseases, 4.29±3.60 medications or supplements, and good functional status (MMSE 29.0±1.5, Barthel Index 98.1±8.2, prevalence of Fried frailty phenotype 2.5%). During one-year follow-up, 34 subjects (21.3%; 95% confidence interval [CI] =14.9-27.6%) experienced CE: hospitalizations (13.8%; 95% CI=8.41-19.1), falls (9.38%; 95% CI=4.86-13.9), death (0.63%; 95% CI=0-1.85) and no institutionalization. A higher probability of CE was associated with age ?70 years (P=0.018), taking any medication or supplements (P=0.007), usual pace gait speed ?0.8 m/s (P=0.028) and TUG >9 s (P<0.002). TUG was the only independent measure predicting one-year CE occurrence (OR=1.22, 95% CI=1.07-1.40, P=0.003) in multivariate logistic regression. However, its predictive power was poor; the area under the receiver operating characteristic curve was 0.659 (95% CI 0.551-0.766, P=0.004) and Youden's J statistic for a TUG cut-off of 9.0 s was 0.261 (sensitivity 0.618 and specificity 0.643). Conclusion:The TUG test was superior to frailty phenotype measures in predicting one-year incidence of a CE consisting of fall, hospitalization, institutionalization and death in a cohort of healthy-aging community-dwelling early-old adults, although its value as a stand-alone test was limited.

Project description:The Timed Up and Go (TUG) test may be a useful tool to detect not only mobility impairment but also possible cognitive impairment. In this cross-sectional study, we used the TUG test to investigate the associations between trajectory-based spatial parameters measured by laser range sensor (LRS) and cognitive impairment in community-dwelling older adults.The participants were 63 community-dwelling older adults (mean age, 73.0 ± 6.3 years). The trajectory-based spatial parameters during the TUG test were measured using an LRS. In each forward and backward phase, we calculated the minimum distance from the marker, the maximum distance from the x-axis (center line), the length of the trajectories, and the area of region surrounded by the trajectory of the center of gravity and the x-axis (center line). We measured mild cognitive impairment using the Mini-Mental State Examination score (26/27 was the cut-off score for defining mild cognitive impairment).Compared with participants with normal cognitive function, those with mild cognitive impairment exhibited the following trajectory-based spatial parameters: short minimum distance from the marker (p = 0.044), narrow area of center of gravity in the forward phase (p = 0.012), and a large forward/whole phase ratio of the area of the center of gravity (p = 0.026) during the TUG test. In multivariate logistic regression analyses, a short minimum distance from the marker (odds ratio [OR]: 0.82, 95% confidence interval [CI]: 0.69-0.98), narrow area of the center of gravity in the forward phase (OR: 0.01, 95% CI: 0.00-0.36), and large forward/whole phase ratio of the area of the center of gravity (OR: 0.94, 95% CI: 0.88-0.99) were independently associated with mild cognitive impairment.In conclusion, our results indicate that some of the trajectory-based spatial parameters measured by LRS during the TUG test were independently associated with cognitive impairment in older adults. In particular, older adults with cognitive impairment exhibit shorter minimum distances from the marker and asymmetrical trajectories during the TUG test.

Dataset Information

Multivariate Analyses and Classification of Inertial Sensor Data to Identify Aging Effects on the Timed-Up-and-Go Test.

Publications

Multivariate Analyses and Classification of Inertial Sensor Data to Identify Aging Effects on the Timed-Up-and-Go Test.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets