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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 me...
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Published in: | Journal of neuroengineering and rehabilitation 2022-10, Vol.19 (1), p.1-111, Article 111 |
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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 ([greater than or equal to] 6 months) stroke. Participants wore an activity monitor for [greater than or equal to] 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 ([greater than or equal to] 30 min) sedentary bouts were most strongly associated with systolic blood pressure. After accounting for covariates ([DELA]R.sup.2 = 0.089, p < 0.001) and walking capacity ([DELA]R.sup.2 = 0.002, p = 0.48), these activity measures were significantly associated with systolic blood pressure ([DELA]R.sup.2 = 0.027, p = 0.02). Higher systolic blood pressure was associated with older age ([beta] = 0.219, p < 0.001), male gender ([beta] = - 0.121, p = 0.046), black race ([beta] = 0.165, p = 0.008), and a slower average bout cadence ([beta] = - 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. Keywords: Stroke, Physical activity, Walking activity, Blood pressure, Real-world monitoring |
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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 ([greater than or equal to] 6 months) stroke. Participants wore an activity monitor for [greater than or equal to] 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 ([greater than or equal to] 30 min) sedentary bouts were most strongly associated with systolic blood pressure. After accounting for covariates ([DELA]R.sup.2 = 0.089, p < 0.001) and walking capacity ([DELA]R.sup.2 = 0.002, p = 0.48), these activity measures were significantly associated with systolic blood pressure ([DELA]R.sup.2 = 0.027, p = 0.02). Higher systolic blood pressure was associated with older age ([beta] = 0.219, p < 0.001), male gender ([beta] = - 0.121, p = 0.046), black race ([beta] = 0.165, p = 0.008), and a slower average bout cadence ([beta] = - 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. Keywords: Stroke, Physical activity, Walking activity, Blood pressure, Real-world monitoring</description><identifier>ISSN: 1743-0003</identifier><identifier>EISSN: 1743-0003</identifier><identifier>DOI: 10.1186/s12984-022-01091-7</identifier><identifier>PMID: 36242083</identifier><language>eng</language><publisher>London: BioMed Central Ltd</publisher><subject>Blood pressure ; Cardiovascular diseases ; Complications and side effects ; Exercise ; Exercise tests ; Health aspects ; Health risks ; Laboratories ; Methods ; Physical activity ; Physiological aspects ; Real-world monitoring ; Rehabilitation ; Risk ; Risk factors ; Sedentary behavior ; Stroke ; Stroke (Disease) ; Walking ; Walking activity</subject><ispartof>Journal of neuroengineering and rehabilitation, 2022-10, Vol.19 (1), p.1-111, Article 111</ispartof><rights>COPYRIGHT 2022 BioMed Central Ltd.</rights><rights>2022. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c540t-fad9d7e259011f670fc30ef8f0b05101affea42d045be58c57558ebe3608840b3</citedby><cites>FETCH-LOGICAL-c540t-fad9d7e259011f670fc30ef8f0b05101affea42d045be58c57558ebe3608840b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9563761/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2726045236?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793</link.rule.ids></links><search><creatorcontrib>Miller, Allison</creatorcontrib><creatorcontrib>Collier, Zachary</creatorcontrib><creatorcontrib>Reisman, Darcy S</creatorcontrib><title>Beyond steps per day: other measures of real-world walking after stroke related to cardiovascular risk</title><title>Journal of neuroengineering and rehabilitation</title><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 ([greater than or equal to] 6 months) stroke. Participants wore an activity monitor for [greater than or equal to] 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 ([greater than or equal to] 30 min) sedentary bouts were most strongly associated with systolic blood pressure. After accounting for covariates ([DELA]R.sup.2 = 0.089, p < 0.001) and walking capacity ([DELA]R.sup.2 = 0.002, p = 0.48), these activity measures were significantly associated with systolic blood pressure ([DELA]R.sup.2 = 0.027, p = 0.02). Higher systolic blood pressure was associated with older age ([beta] = 0.219, p < 0.001), male gender ([beta] = - 0.121, p = 0.046), black race ([beta] = 0.165, p = 0.008), and a slower average bout cadence ([beta] = - 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. Keywords: Stroke, Physical activity, Walking activity, Blood pressure, Real-world monitoring</description><subject>Blood pressure</subject><subject>Cardiovascular diseases</subject><subject>Complications and side effects</subject><subject>Exercise</subject><subject>Exercise tests</subject><subject>Health aspects</subject><subject>Health risks</subject><subject>Laboratories</subject><subject>Methods</subject><subject>Physical activity</subject><subject>Physiological aspects</subject><subject>Real-world monitoring</subject><subject>Rehabilitation</subject><subject>Risk</subject><subject>Risk factors</subject><subject>Sedentary behavior</subject><subject>Stroke</subject><subject>Stroke (Disease)</subject><subject>Walking</subject><subject>Walking 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steps per day: other measures of real-world walking after stroke related to cardiovascular risk</title><author>Miller, Allison ; Collier, Zachary ; Reisman, Darcy S</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c540t-fad9d7e259011f670fc30ef8f0b05101affea42d045be58c57558ebe3608840b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Blood pressure</topic><topic>Cardiovascular diseases</topic><topic>Complications and side effects</topic><topic>Exercise</topic><topic>Exercise tests</topic><topic>Health aspects</topic><topic>Health risks</topic><topic>Laboratories</topic><topic>Methods</topic><topic>Physical activity</topic><topic>Physiological aspects</topic><topic>Real-world monitoring</topic><topic>Rehabilitation</topic><topic>Risk</topic><topic>Risk factors</topic><topic>Sedentary behavior</topic><topic>Stroke</topic><topic>Stroke (Disease)</topic><topic>Walking</topic><topic>Walking activity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Miller, Allison</creatorcontrib><creatorcontrib>Collier, Zachary</creatorcontrib><creatorcontrib>Reisman, Darcy S</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Biotechnology Research Abstracts</collection><collection>ProQuest Nursing and Allied Health Journals</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Physical Education Index</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Healthcare Administration Database (Alumni)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech 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Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Journal of neuroengineering and rehabilitation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Miller, Allison</au><au>Collier, Zachary</au><au>Reisman, Darcy S</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Beyond steps per day: other measures of real-world walking after stroke related to cardiovascular risk</atitle><jtitle>Journal of neuroengineering and rehabilitation</jtitle><date>2022-10-14</date><risdate>2022</risdate><volume>19</volume><issue>1</issue><spage>1</spage><epage>111</epage><pages>1-111</pages><artnum>111</artnum><issn>1743-0003</issn><eissn>1743-0003</eissn><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 ([greater than or equal to] 6 months) stroke. Participants wore an activity monitor for [greater than or equal to] 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 ([greater than or equal to] 30 min) sedentary bouts were most strongly associated with systolic blood pressure. After accounting for covariates ([DELA]R.sup.2 = 0.089, p < 0.001) and walking capacity ([DELA]R.sup.2 = 0.002, p = 0.48), these activity measures were significantly associated with systolic blood pressure ([DELA]R.sup.2 = 0.027, p = 0.02). Higher systolic blood pressure was associated with older age ([beta] = 0.219, p < 0.001), male gender ([beta] = - 0.121, p = 0.046), black race ([beta] = 0.165, p = 0.008), and a slower average bout cadence ([beta] = - 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. Keywords: Stroke, Physical activity, Walking activity, Blood pressure, Real-world monitoring</abstract><cop>London</cop><pub>BioMed Central Ltd</pub><pmid>36242083</pmid><doi>10.1186/s12984-022-01091-7</doi><oa>free_for_read</oa></addata></record> |
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subjects | Blood pressure Cardiovascular diseases Complications and side effects Exercise Exercise tests Health aspects Health risks Laboratories Methods Physical activity Physiological aspects Real-world monitoring Rehabilitation Risk Risk factors Sedentary behavior Stroke Stroke (Disease) Walking Walking activity |
title | Beyond steps per day: other measures of real-world walking after stroke related to cardiovascular risk |
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