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Accelerometery as a measure of modifiable physical activity in high-risk elderly preoperative patients: a prospective observational pilot study
ObjectivesTo use wrist-worn accelerometers (Axivity AX3) to establish normative physical activity (PA) and acceptability data for the high-risk elderly preoperative population, to assess whether PA could be modified by a prehabilitation intervention as part of routine care, to assess any correlation...
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Published in: | BMJ open 2019-11, Vol.9 (11), p.e032346-e032346 |
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description | ObjectivesTo use wrist-worn accelerometers (Axivity AX3) to establish normative physical activity (PA) and acceptability data for the high-risk elderly preoperative population, to assess whether PA could be modified by a prehabilitation intervention as part of routine care, to assess any correlation between accelerometer-measured PA and self-reported PA and to assess the acceptability of wearing wrist-worn accelerometers in this population.Study designProspective, observational, pilot study.SettingSingle National Health Service Hospital.ParticipantsFrail patients≥65 years awaiting major surgery referred to a multidisciplinary preoperative clinic at which they received a routine intervention aimed at improving their PA. 35 patients were recruited. Average age 79.9 years (SD=5.6).Primary outcomesNormative PA data measured as a mean daily Euclidean norm minus one (ENMO) in milli-gravitational units (mg).Secondary outcomesMeasure PA levels (mg) following a routine preoperative intervention. Determine correlation between patient-reported PA (measured using the Physical Activity Scale for the Elderly) and accelerometer-measured PA (mg). Assess acceptability of wearing a wrist-worn accelerometer measured using Visual Analogue Scale (VAS) questionnaire and device wear time (hours).ResultsMedian baseline daily PA was 14.3 mg (IQR 9.75–22.04) with an improvement in PA detected following the intervention (median ENMO post intervention 20.91 mg (IQR 14.83–27.53), p=0.022). There was no significant correlation between accelerometer-measured and self-reported PA (baseline ρ=0.162 (p=0.4), post intervention ρ=−0.144 (p=0.5)). We found high acceptability ratings (median score of 10/10 on VAS, IQR 8–10) and wear-time compliance (163.2 hours (IQR 150–167.5) preintervention and 166.1 hours (IQR 162.5–167) post intervention).ConclusionsAccelerometery is acceptable to this population and increases in PA levels measured following an unoptimised routine clinical intervention which indicates that health behavioural change interventions may be successful during the preoperative period. Accelerometers may therefore be a useful tool to design and validate interventions for improving PA in this setting.Trial registration number NCT03737903. |
doi_str_mv | 10.1136/bmjopen-2019-032346 |
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Average age 79.9 years (SD=5.6).Primary outcomesNormative PA data measured as a mean daily Euclidean norm minus one (ENMO) in milli-gravitational units (mg).Secondary outcomesMeasure PA levels (mg) following a routine preoperative intervention. Determine correlation between patient-reported PA (measured using the Physical Activity Scale for the Elderly) and accelerometer-measured PA (mg). Assess acceptability of wearing a wrist-worn accelerometer measured using Visual Analogue Scale (VAS) questionnaire and device wear time (hours).ResultsMedian baseline daily PA was 14.3 mg (IQR 9.75–22.04) with an improvement in PA detected following the intervention (median ENMO post intervention 20.91 mg (IQR 14.83–27.53), p=0.022). There was no significant correlation between accelerometer-measured and self-reported PA (baseline ρ=0.162 (p=0.4), post intervention ρ=−0.144 (p=0.5)). We found high acceptability ratings (median score of 10/10 on VAS, IQR 8–10) and wear-time compliance (163.2 hours (IQR 150–167.5) preintervention and 166.1 hours (IQR 162.5–167) post intervention).ConclusionsAccelerometery is acceptable to this population and increases in PA levels measured following an unoptimised routine clinical intervention which indicates that health behavioural change interventions may be successful during the preoperative period. Accelerometers may therefore be a useful tool to design and validate interventions for improving PA in this setting.Trial registration number NCT03737903.</description><identifier>ISSN: 2044-6055</identifier><identifier>EISSN: 2044-6055</identifier><identifier>DOI: 10.1136/bmjopen-2019-032346</identifier><identifier>PMID: 31685513</identifier><language>eng</language><publisher>England: BMJ Publishing Group LTD</publisher><subject>Accelerometers ; Accelerometry - instrumentation ; Aged ; Anaesthesia ; Exercise ; Female ; Frail Elderly ; Frailty ; Gastrointestinal surgery ; Humans ; Intervention ; Male ; Methods ; Older people ; Patients ; Physical fitness ; Pilot Projects ; Prospective Studies ; Questionnaires ; Self Report ; Wearable Electronic Devices</subject><ispartof>BMJ open, 2019-11, Vol.9 (11), p.e032346-e032346</ispartof><rights>Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.</rights><rights>2019 Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ . Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b538t-f01eae3d0ea9245553570e8fd9d35d1c4459f59d1f669c48af84f286021e34833</citedby><cites>FETCH-LOGICAL-b538t-f01eae3d0ea9245553570e8fd9d35d1c4459f59d1f669c48af84f286021e34833</cites><orcidid>0000-0001-8350-8093 ; 0000-0002-6351-8064 ; 0000-0002-2157-4797</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2311850934/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2311850934?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>112,113,230,314,727,780,784,885,3194,25753,27549,27550,27924,27925,37012,37013,44590,53791,53793,75126,77594,77595,77601,77632</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31685513$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Grimes, Lisa</creatorcontrib><creatorcontrib>Outtrim, Joanne G</creatorcontrib><creatorcontrib>Griffin, Simon J</creatorcontrib><creatorcontrib>Ercole, Ari</creatorcontrib><title>Accelerometery as a measure of modifiable physical activity in high-risk elderly preoperative patients: a prospective observational pilot study</title><title>BMJ open</title><addtitle>BMJ Open</addtitle><description>ObjectivesTo use wrist-worn accelerometers (Axivity AX3) to establish normative physical activity (PA) and acceptability data for the high-risk elderly preoperative population, to assess whether PA could be modified by a prehabilitation intervention as part of routine care, to assess any correlation between accelerometer-measured PA and self-reported PA and to assess the acceptability of wearing wrist-worn accelerometers in this population.Study designProspective, observational, pilot study.SettingSingle National Health Service Hospital.ParticipantsFrail patients≥65 years awaiting major surgery referred to a multidisciplinary preoperative clinic at which they received a routine intervention aimed at improving their PA. 35 patients were recruited. Average age 79.9 years (SD=5.6).Primary outcomesNormative PA data measured as a mean daily Euclidean norm minus one (ENMO) in milli-gravitational units (mg).Secondary outcomesMeasure PA levels (mg) following a routine preoperative intervention. Determine correlation between patient-reported PA (measured using the Physical Activity Scale for the Elderly) and accelerometer-measured PA (mg). Assess acceptability of wearing a wrist-worn accelerometer measured using Visual Analogue Scale (VAS) questionnaire and device wear time (hours).ResultsMedian baseline daily PA was 14.3 mg (IQR 9.75–22.04) with an improvement in PA detected following the intervention (median ENMO post intervention 20.91 mg (IQR 14.83–27.53), p=0.022). There was no significant correlation between accelerometer-measured and self-reported PA (baseline ρ=0.162 (p=0.4), post intervention ρ=−0.144 (p=0.5)). We found high acceptability ratings (median score of 10/10 on VAS, IQR 8–10) and wear-time compliance (163.2 hours (IQR 150–167.5) preintervention and 166.1 hours (IQR 162.5–167) post intervention).ConclusionsAccelerometery is acceptable to this population and increases in PA levels measured following an unoptimised routine clinical intervention which indicates that health behavioural change interventions may be successful during the preoperative period. Accelerometers may therefore be a useful tool to design and validate interventions for improving PA in this setting.Trial registration number NCT03737903.</description><subject>Accelerometers</subject><subject>Accelerometry - instrumentation</subject><subject>Aged</subject><subject>Anaesthesia</subject><subject>Exercise</subject><subject>Female</subject><subject>Frail Elderly</subject><subject>Frailty</subject><subject>Gastrointestinal surgery</subject><subject>Humans</subject><subject>Intervention</subject><subject>Male</subject><subject>Methods</subject><subject>Older people</subject><subject>Patients</subject><subject>Physical fitness</subject><subject>Pilot Projects</subject><subject>Prospective Studies</subject><subject>Questionnaires</subject><subject>Self Report</subject><subject>Wearable Electronic Devices</subject><issn>2044-6055</issn><issn>2044-6055</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>9YT</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNkk1v1DAQhiMEolXpL0BClrhwSfF3Eg5IVcVHpUpc4Gw58XjXSxIHO1kpv4K_zHR3qVpO-GJr_M5jz8xbFK8ZvWJM6PftsIsTjCWnrCmp4ELqZ8U5p1KWmir1_NH5rLjMeUdxSdUoxV8WZ4LpWikmzovf110HPaQ4wAxpJTYTSwaweUlAoidDdMEH2_ZApu2aQ2d7Yrs57MO8kjCSbdhsyxTyTwK9g9SvZEqAP0sWNZiDG4xz_oDUKcU8QXeIxzZD2uNlHBE4hT7OJM-LW18VL7ztM1ye9ovix-dP32--lnffvtzeXN-VrRL1XHrKwIJwFGzDpVJKqIpC7V3jhHKsk1iqV41jXuumk7X1tfS81pQzELIW4qK4PXJdtDszpTDYtJpogzkEYtoYm-bQ9WCYa3WlVUsldrnSrNX4Iq0aarmXrfLI-nhkTUs7gOuw4GT7J9CnN2PYmk3cGxxCzahCwLsTIMVfC-TZDCHjWHo7Qlyy4YJxXuM8K5S-_Ue6i0vCJh5UrFa0ERJV4qjqsOc5gX_4DKPm3j_m5B9z7x9z9A9mvXlcx0POX7eg4OoowOz_Iv4BS_jT1g</recordid><startdate>20191103</startdate><enddate>20191103</enddate><creator>Grimes, Lisa</creator><creator>Outtrim, Joanne G</creator><creator>Griffin, Simon J</creator><creator>Ercole, Ari</creator><general>BMJ Publishing Group LTD</general><general>BMJ Publishing Group</general><scope>9YT</scope><scope>ACMMV</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-8350-8093</orcidid><orcidid>https://orcid.org/0000-0002-6351-8064</orcidid><orcidid>https://orcid.org/0000-0002-2157-4797</orcidid></search><sort><creationdate>20191103</creationdate><title>Accelerometery as a measure of modifiable physical activity in high-risk elderly preoperative patients: a prospective observational pilot study</title><author>Grimes, Lisa ; Outtrim, Joanne G ; Griffin, Simon J ; Ercole, Ari</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b538t-f01eae3d0ea9245553570e8fd9d35d1c4459f59d1f669c48af84f286021e34833</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Accelerometers</topic><topic>Accelerometry - instrumentation</topic><topic>Aged</topic><topic>Anaesthesia</topic><topic>Exercise</topic><topic>Female</topic><topic>Frail Elderly</topic><topic>Frailty</topic><topic>Gastrointestinal surgery</topic><topic>Humans</topic><topic>Intervention</topic><topic>Male</topic><topic>Methods</topic><topic>Older people</topic><topic>Patients</topic><topic>Physical fitness</topic><topic>Pilot Projects</topic><topic>Prospective Studies</topic><topic>Questionnaires</topic><topic>Self Report</topic><topic>Wearable Electronic Devices</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Grimes, Lisa</creatorcontrib><creatorcontrib>Outtrim, Joanne G</creatorcontrib><creatorcontrib>Griffin, Simon J</creatorcontrib><creatorcontrib>Ercole, Ari</creatorcontrib><collection>British Medical Journal Open Access Journals</collection><collection>BMJ Journals:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Nursing & Allied Health Database</collection><collection>ProQuest_Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>BMJ Journals</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Psychology Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest Publicly Available Content database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>BMJ open</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Grimes, Lisa</au><au>Outtrim, Joanne G</au><au>Griffin, Simon J</au><au>Ercole, Ari</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Accelerometery as a measure of modifiable physical activity in high-risk elderly preoperative patients: a prospective observational pilot study</atitle><jtitle>BMJ open</jtitle><addtitle>BMJ Open</addtitle><date>2019-11-03</date><risdate>2019</risdate><volume>9</volume><issue>11</issue><spage>e032346</spage><epage>e032346</epage><pages>e032346-e032346</pages><issn>2044-6055</issn><eissn>2044-6055</eissn><abstract>ObjectivesTo use wrist-worn accelerometers (Axivity AX3) to establish normative physical activity (PA) and acceptability data for the high-risk elderly preoperative population, to assess whether PA could be modified by a prehabilitation intervention as part of routine care, to assess any correlation between accelerometer-measured PA and self-reported PA and to assess the acceptability of wearing wrist-worn accelerometers in this population.Study designProspective, observational, pilot study.SettingSingle National Health Service Hospital.ParticipantsFrail patients≥65 years awaiting major surgery referred to a multidisciplinary preoperative clinic at which they received a routine intervention aimed at improving their PA. 35 patients were recruited. Average age 79.9 years (SD=5.6).Primary outcomesNormative PA data measured as a mean daily Euclidean norm minus one (ENMO) in milli-gravitational units (mg).Secondary outcomesMeasure PA levels (mg) following a routine preoperative intervention. Determine correlation between patient-reported PA (measured using the Physical Activity Scale for the Elderly) and accelerometer-measured PA (mg). Assess acceptability of wearing a wrist-worn accelerometer measured using Visual Analogue Scale (VAS) questionnaire and device wear time (hours).ResultsMedian baseline daily PA was 14.3 mg (IQR 9.75–22.04) with an improvement in PA detected following the intervention (median ENMO post intervention 20.91 mg (IQR 14.83–27.53), p=0.022). There was no significant correlation between accelerometer-measured and self-reported PA (baseline ρ=0.162 (p=0.4), post intervention ρ=−0.144 (p=0.5)). We found high acceptability ratings (median score of 10/10 on VAS, IQR 8–10) and wear-time compliance (163.2 hours (IQR 150–167.5) preintervention and 166.1 hours (IQR 162.5–167) post intervention).ConclusionsAccelerometery is acceptable to this population and increases in PA levels measured following an unoptimised routine clinical intervention which indicates that health behavioural change interventions may be successful during the preoperative period. Accelerometers may therefore be a useful tool to design and validate interventions for improving PA in this setting.Trial registration number NCT03737903.</abstract><cop>England</cop><pub>BMJ Publishing Group LTD</pub><pmid>31685513</pmid><doi>10.1136/bmjopen-2019-032346</doi><orcidid>https://orcid.org/0000-0001-8350-8093</orcidid><orcidid>https://orcid.org/0000-0002-6351-8064</orcidid><orcidid>https://orcid.org/0000-0002-2157-4797</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Accelerometers Accelerometry - instrumentation Aged Anaesthesia Exercise Female Frail Elderly Frailty Gastrointestinal surgery Humans Intervention Male Methods Older people Patients Physical fitness Pilot Projects Prospective Studies Questionnaires Self Report Wearable Electronic Devices |
title | Accelerometery as a measure of modifiable physical activity in high-risk elderly preoperative patients: a prospective observational pilot study |
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