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

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 m...

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Autores principales: Miller, Allison, Collier, Zachary, Reisman, Darcy S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9563761/
https://www.ncbi.nlm.nih.gov/pubmed/36242083
http://dx.doi.org/10.1186/s12984-022-01091-7
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author Miller, Allison
Collier, Zachary
Reisman, Darcy S.
author_facet Miller, Allison
Collier, Zachary
Reisman, Darcy S.
author_sort Miller, Allison
collection PubMed
description 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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spelling pubmed-95637612022-10-15 Beyond steps per day: other measures of real-world walking after stroke related to cardiovascular risk Miller, Allison Collier, Zachary Reisman, Darcy S. J Neuroeng Rehabil Research 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. BioMed Central 2022-10-14 /pmc/articles/PMC9563761/ /pubmed/36242083 http://dx.doi.org/10.1186/s12984-022-01091-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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.
spellingShingle Research
Miller, Allison
Collier, Zachary
Reisman, Darcy S.
Beyond steps per day: other measures of real-world walking after stroke related to cardiovascular risk
title Beyond steps per day: other measures of real-world walking after stroke related to cardiovascular risk
title_full Beyond steps per day: other measures of real-world walking after stroke related to cardiovascular risk
title_fullStr Beyond steps per day: other measures of real-world walking after stroke related to cardiovascular risk
title_full_unstemmed Beyond steps per day: other measures of real-world walking after stroke related to cardiovascular risk
title_short Beyond steps per day: other measures of real-world walking after stroke related to cardiovascular risk
title_sort beyond steps per day: other measures of real-world walking after stroke related to cardiovascular risk
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9563761/
https://www.ncbi.nlm.nih.gov/pubmed/36242083
http://dx.doi.org/10.1186/s12984-022-01091-7
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