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      Clinical Interventions in Aging (submit here)

      This international, peer-reviewed Open Access journal by Dove Medical Press focuses on prevention and treatment of diseases in people over 65 years of age. Sign up for email alerts here.

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      The association between cognition and dual-tasking among older adults: the effect of motor function type and cognition task difficulty

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          Abstract

          Background

          Dual-task actions challenge cognitive processing. The usefulness of objective methods based on dual-task actions to identify the cognitive status of older adults has been previously demonstrated. However, the properties of select motor and cognitive tasks are still debatable. We investigated the effect of cognitive task difficulty and motor task type (walking versus an upper-extremity function [UEF]) in identifying cognitive impairment in older adults.

          Methods

          Older adults (≥65 years) were recruited, and cognitive ability was measured using the Montreal Cognitive Assessment (MoCA). Participants performed repetitive elbow flexion under three conditions: 1) at maximum pace alone (Single-task); and 2) while counting backward by ones (Dual-task 1); and 3) threes (Dual-task 2). Similar single- and dual-task gait were performed at normal speed. Three-dimensional kinematics were measured for both motor functions using wearable sensors.

          Results

          One-hundred older adults participated in this study. Based on MoCA score <20, 21 (21%) of the participants were considered cognitively impaired (mean age =86±10 and 85±5 for cognitively impaired and intact participants, respectively). Within ANOVA models adjusted with demographic information, UEF dual-task parameters, including speed and range-of-motion variability were significantly higher by 52% on average, among cognitively impaired participant ( p<0.01). Logistic models with these UEF parameters plus age predicted cognitive status with sensitivity, specificity, and area under curve (AUC) of 71%, 81% and 0.77 for Dual-task 1. The corresponding values for UEF Dual-task 2 were 91%, 73% and 0.81, respectively. ANOVA results were non-significant for gait parameters within both dual-task conditions ( p>0.26).

          Conclusion

          This study demonstrated that counting backward by threes within a UEF dual-task experiment was a pertinent and challenging enough task to detect cognitive impairment in older adults. Additionally, UEF was superior to gait as the motor task component of the dual-task. The UEF dual-task could be applied as a quick memory screen in a clinical setting.

          Most cited references39

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          World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects.

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            Central mechanisms of motor skill learning.

            Recent studies have shown that frontoparietal cortices and interconnecting regions in the basal ganglia and the cerebellum are related to motor skill learning. We propose that motor skill learning occurs independently and in different coordinates in two sets of loop circuits: cortex-basal ganglia and cortex-cerebellum. This architecture accounts for the seemingly diverse features of motor learning.
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              The mini‐mental state examination: Normative study of an Italian random sample

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                Author and article information

                Journal
                Clin Interv Aging
                Clin Interv Aging
                Clinical Interventions in Aging
                Clinical Interventions in Aging
                Dove Medical Press
                1176-9092
                1178-1998
                2019
                08 April 2019
                : 14
                : 659-669
                Affiliations
                [1 ]Department of Biomedical Engineering, University of Arizona, Tucson, AZ, USA, hehsani@ 123456aging.arizona.edu
                [2 ]Arizona Center on Aging, Department of Medicine, University of Arizona, Tucson, AZ, USA, hehsani@ 123456aging.arizona.edu
                [3 ]Division of Geriatrics, General Internal Medicine and Palliative Medicine, Department of Medicine, University of Arizona, Tucson, AZ, USA
                [4 ]Neurology Department, Banner Sun Health Research Institute, Sun City, AZ, USA
                [5 ]Department of Neurology, University of Utah, Salt Lake City, UT, USA
                Author notes
                Correspondence: Hossein Ehsani, University of Arizona, Bioscience Research Building, 1601 E Helen St., Tucson, AZ 85719, USA, Tel +1 520 626 8780, Fax +1 520 626 5811, Email hehsani@ 123456aging.arizona.edu
                Article
                cia-14-659
                10.2147/CIA.S198697
                6459153
                31040655
                129eac00-bc36-425a-b328-59f759f1ba77
                © 2019 Ehsani et al. This work is published and licensed by Dove Medical Press Limited

                The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License ( http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.

                History
                Categories
                Original Research

                Health & Social care
                wearable motion sensor,gait,upper-extremity function,biomechanics,mci,alzheimer’s disease

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