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      Application and Reliability of Accelerometer-Based Arm Use Intensities in the Free-Living Environment for Manual Wheelchair Users and Able-Bodied Individuals

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          Abstract

          Arm use in manual wheelchair (MWC) users is characterized by a combination of overuse and a sedentary lifestyle. This study aimed to describe the percentage of daily time MWC users and able-bodied individuals spend in each arm use intensity level utilizing accelerometers. Arm use intensity levels of the upper arms were defined as stationary, low, mid, and high from the signal magnitude area (SMA) of the segment accelerations based on in-lab MWC activities performed by eight MWC users. Accelerometry data were collected in the free-living environments from forty MWC users and 40 sex- and age-matched able-bodied individuals. The SMA intensity levels were applied to the free-living data and the percentage of time spent in each level was calculated. The SMA intensity levels were defined as, stationary: ≤0.67 g, low: 0.671–3.27 g, mid: 3.27–5.87 g, and high: >5.871 g. The dominant arm of both MWC users and able-bodied individuals was stationary for most of the day and less than one percent of the day was spent in high intensity arm activities. Increased MWC user age correlated with increased stationary arm time (R = 0.368, p = 0.019). Five and eight days of data are needed from MWC users and able-bodied individuals, respectively, to achieve reliable representation of their daily arm use intensities.

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          Most cited references33

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          A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research.

          Intraclass correlation coefficient (ICC) is a widely used reliability index in test-retest, intrarater, and interrater reliability analyses. This article introduces the basic concept of ICC in the content of reliability analysis.
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            Forming inferences about some intraclass correlation coefficients.

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              Amount of time spent in sedentary behaviors in the United States, 2003-2004.

              Sedentary behaviors are linked to adverse health outcomes, but the total amount of time spent in these behaviors in the United States has not been objectively quantified. The authors evaluated participants from the 2003-2004 National Health and Nutrition Examination Survey aged >/=6 years who wore an activity monitor for up to 7 days. Among 6,329 participants with at least one 10-hour day of monitor wear, the average monitor-wearing time was 13.9 hours/day (standard deviation, 1.9). Overall, participants spent 54.9% of their monitored time, or 7.7 hours/day, in sedentary behaviors. The most sedentary groups in the United States were older adolescents and adults aged >/=60 years, and they spent about 60% of their waking time in sedentary pursuits. Females were more sedentary than males before age 30 years, but this pattern was reversed after age 60 years. Mexican-American adults were significantly less sedentary than other US adults, and White and Black females were similarly sedentary after age 12 years. These data provide the first objective measure of the amount of time spent in sedentary behavior in the US population and indicate that Americans spend the majority of their time in behaviors that expend very little energy.
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                10 February 2021
                February 2021
                : 21
                : 4
                : 1236
                Affiliations
                [1 ]Health Sciences Research and Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN 55905, USA; briannagoodwin10@ 123456gmail.com (B.M.G.); Jahanian.Omid@ 123456mayo.edu (O.J.); VanStraaten.Meegan@ 123456mayo.edu (M.G.V.S.); Fortune.Emma@ 123456mayo.edu (E.F.)
                [2 ]Assistive and Restorative Technology Laboratory, Rehabilitation Medicine Research Center, Physical Medicine and Rehabilitation, Mayo Clinic, Rochester, MN 55902, USA; Madansingh.Stefan@ 123456mayo.edu (S.I.M.); Zhao.Kristin@ 123456mayo.edu (K.D.Z.)
                [3 ]Program in Physical Therapy, Mayo Clinic School of Health Sciences, Rochester, MN 55902, USA; Cloud.Beth@ 123456mayo.edu
                Author notes
                [* ]Correspondence: Morrow.Melissa@ 123456mayo.edu
                [†]

                Indicates co-first authors.

                Author information
                https://orcid.org/0000-0002-5436-1878
                https://orcid.org/0000-0002-6500-6572
                Article
                sensors-21-01236
                10.3390/s21041236
                7916413
                33578639
                02f255af-89a0-4998-8e0e-7d280c32816f
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 11 January 2021
                : 05 February 2021
                Categories
                Article

                Biomedical engineering
                spinal cord injury,inertial measurement units,wearable sensors,upper extremity,free-living data collection

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