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      Beyond steps per day: other measures of real-world walking after stroke related to cardiovascular risk

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          Abstract

          Background

          Significant variability exists in how real-world walking has been measured in prior studies in individuals with stroke and it is unknown which measures are most important for cardiovascular risk. It is also unknown whether real-world monitoring is more informative than laboratory-based measures of walking capacity in the context of cardiovascular risk. The purpose of this study was to determine a subset of real-world walking activity measures most strongly associated with systolic blood pressure (SBP), a measure of cardiovascular risk, in people with stroke and if these measures are associated with SBP after accounting for laboratory-based measures of walking capacity.

          Methods

          This was a cross-sectional analysis of 276 individuals with chronic (≥ 6 months) stroke. Participants wore an activity monitor for ≥ 3 days. Measures of activity volume, activity frequency, activity intensity, and sedentary behavior were calculated. Best subset selection and lasso regression were used to determine which activity measures were most strongly associated with systolic blood pressure. Sequential linear regression was used to determine if these activity measures were associated with systolic blood pressure after accounting for walking capacity (6-Minute Walk Test).

          Results

          Average bout cadence (i.e., the average steps/minute across all bouts of walking) and the number of long (≥ 30 min) sedentary bouts were most strongly associated with systolic blood pressure. After accounting for covariates (ΔR 2 = 0.089, p < 0.001) and walking capacity (ΔR 2 = 0.002, p = 0.48), these activity measures were significantly associated with systolic blood pressure (ΔR 2 = 0.027, p = 0.02). Higher systolic blood pressure was associated with older age (β = 0.219, p < 0.001), male gender (β = − 0.121, p = 0.046), black race (β = 0.165, p = 0.008), and a slower average bout cadence (β = − 0.159, p = 0.022).

          Conclusions

          Measures of activity intensity and sedentary behavior may be superior to commonly used measures, such as steps/day, when the outcome of interest is cardiovascular risk. The relationship between walking activity and cardiovascular risk cannot be inferred through laboratory-based assessments of walking capacity.

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          Regression Shrinkage and Selection Via the Lasso

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            2019 ACC/AHA Guideline on the Primary Prevention of Cardiovascular Disease

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              Using Multivariate Statistics

              A Practical Approach to using Multivariate Analyses Using Multivariate Statistics , 6th edition provides advanced undergraduate as well as graduate students with a timely and comprehensive introduction to today's most commonly encountered statistical and multivariate techniques, while assuming only a limited knowledge of higher-level mathematics. This text's practical approach focuses on the benefits and limitations of applications of a technique to a data set - when, why, and how to do it. Learning Goals Upon completing this book, readers should be able to: Learn to conduct numerous types of multivariate statistical analyses Find the best technique to use Understand Limitations to applications Learn how to use SPSS and SAS syntax and output
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                Author and article information

                Contributors
                dreisman@udel.edu
                Journal
                J Neuroeng Rehabil
                J Neuroeng Rehabil
                Journal of NeuroEngineering and Rehabilitation
                BioMed Central (London )
                1743-0003
                14 October 2022
                14 October 2022
                2022
                : 19
                : 111
                Affiliations
                [1 ]GRID grid.33489.35, ISNI 0000 0001 0454 4791, Department of Biomechanics and Movement Science Program, , University of Delaware, ; 540 South College Avenue, Newark, DE 19713 USA
                [2 ]GRID grid.33489.35, ISNI 0000 0001 0454 4791, Department of Education and Human Development, , University of Delaware, ; Newark, DE USA
                [3 ]GRID grid.33489.35, ISNI 0000 0001 0454 4791, Department of Physical Therapy, , University of Delaware, ; Newark, DE USA
                Article
                1091
                10.1186/s12984-022-01091-7
                9563761
                36242083
                76e7c076-7f1d-45f6-ad40-eca815e30856
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 11 May 2022
                : 27 September 2022
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100009713, Foundation for Physical Therapy;
                Award ID: Promotion of Doctoral Studies I Scholarship
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: R01HD086362
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2022

                Neurosciences
                stroke,physical activity,walking activity,blood pressure,real-world monitoring
                Neurosciences
                stroke, physical activity, walking activity, blood pressure, real-world monitoring

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