Adherence to Accelerometry Measurement of Community Ambulation Poststroke
The step activity monitor (SAM) quantifies steps taken in the home and community by patient populations. Although the SAM has been used to study individuals after stroke, adherence to the use of SAMs has not been addressed. Participants' adherence to wearing the monitor is critical for obtainin...
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| Veröffentlicht in: | Physical therapy 2014-01, Vol.94 (1), p.101-110 |
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| creator | Barak, Sharon Wu, Samuel S Dai, Yunfeng Duncan, Pamela W Behrman, Andrea L |
| description | The step activity monitor (SAM) quantifies steps taken in the home and community by patient populations. Although the SAM has been used to study individuals after stroke, adherence to the use of SAMs has not been addressed. Participants' adherence to wearing the monitor is critical for obtaining accurate assessments.
The purpose of this study was to determine the rate of and predictors for inferred adherence to the use of the SAM after stroke.
A cross-sectional design was used.
Community-dwelling individuals (n=408) 2 months after stroke with moderate-to-severe gait impairment (gait speed of ≤0.8 m/s) were studied. Step activity was assessed for 2 days with the SAM. Inferred adherence was established in 3 periods: 6:00 am to 12:00 pm, 12:01 pm to 6:00 pm, and 6:01 pm to 12:00 am. Adherence was defined as activity recorded in all 3 periods. The percentage of participant adherence for the first day, second day, both days, and either day was calculated. Demographic and clinical characteristics of adherers and nonadherers were compared. Independent adherence predictors were identified by means of stepwise logistic regression.
Inferred adherence rates for the first day, second day, both days, and either day were 68%, 61%, 53%, and 76%, respectively. Upper and lower extremity impairment, balance control, and endurance were significantly different between adherers and nonadherers. On the other hand, older age, greater balance self-efficacy, and better walking endurance were significant predictors of adherence.
Participants were individuals with subacute stroke. Therefore, the findings of this study may not be generalized to individuals during the acute and chronic phases of stroke recovery.
Strategies to improve adherence are needed when collecting data for more than 1 day and in samples with younger individuals and those with low levels of balance self-efficacy and walking endurance. |
| doi_str_mv | 10.2522/ptj.20120473 |
| format | Article |
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The purpose of this study was to determine the rate of and predictors for inferred adherence to the use of the SAM after stroke.
A cross-sectional design was used.
Community-dwelling individuals (n=408) 2 months after stroke with moderate-to-severe gait impairment (gait speed of ≤0.8 m/s) were studied. Step activity was assessed for 2 days with the SAM. Inferred adherence was established in 3 periods: 6:00 am to 12:00 pm, 12:01 pm to 6:00 pm, and 6:01 pm to 12:00 am. Adherence was defined as activity recorded in all 3 periods. The percentage of participant adherence for the first day, second day, both days, and either day was calculated. Demographic and clinical characteristics of adherers and nonadherers were compared. Independent adherence predictors were identified by means of stepwise logistic regression.
Inferred adherence rates for the first day, second day, both days, and either day were 68%, 61%, 53%, and 76%, respectively. Upper and lower extremity impairment, balance control, and endurance were significantly different between adherers and nonadherers. On the other hand, older age, greater balance self-efficacy, and better walking endurance were significant predictors of adherence.
Participants were individuals with subacute stroke. Therefore, the findings of this study may not be generalized to individuals during the acute and chronic phases of stroke recovery.
Strategies to improve adherence are needed when collecting data for more than 1 day and in samples with younger individuals and those with low levels of balance self-efficacy and walking endurance.</description><identifier>ISSN: 0031-9023</identifier><identifier>EISSN: 1538-6724</identifier><identifier>DOI: 10.2522/ptj.20120473</identifier><identifier>PMID: 24029299</identifier><language>eng</language><publisher>United States: American Physical Therapy Association</publisher><subject>Accelerometers ; Accelerometry ; Adolescent ; Adult ; Aged ; Aged, 80 and over ; Clinical trials ; Cross-Sectional Studies ; Female ; Gait Disorders, Neurologic - physiopathology ; Gait Disorders, Neurologic - rehabilitation ; Humans ; Male ; Medical research ; Middle Aged ; Patient Compliance ; Physical Endurance - physiology ; Physical therapy ; Postural Balance - physiology ; Recovery of Function ; Rehabilitation ; Research Reports ; Self care (Health) ; Stroke ; Stroke - physiopathology ; Stroke Rehabilitation ; Surveys and Questionnaires</subject><ispartof>Physical therapy, 2014-01, Vol.94 (1), p.101-110</ispartof><rights>COPYRIGHT 2014 Oxford University Press</rights><rights>COPYRIGHT 2014 Oxford University Press</rights><rights>Copyright AMERICAN PHYSICAL THERAPY ASSOCIATION Jan 2014</rights><rights>2014 American Physical Therapy Association 2014</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c726t-e6bfdd45dbef9da8423047c53bf965f1bb52d963b4f43792ff9f36b99813cc3</citedby><cites>FETCH-LOGICAL-c726t-e6bfdd45dbef9da8423047c53bf965f1bb52d963b4f43792ff9f36b99813cc3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27903,27904</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24029299$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Barak, Sharon</creatorcontrib><creatorcontrib>Wu, Samuel S</creatorcontrib><creatorcontrib>Dai, Yunfeng</creatorcontrib><creatorcontrib>Duncan, Pamela W</creatorcontrib><creatorcontrib>Behrman, Andrea L</creatorcontrib><creatorcontrib>Locomotor Experience Applied Post-Stroke (LEAPS) Investigative Team</creatorcontrib><title>Adherence to Accelerometry Measurement of Community Ambulation Poststroke</title><title>Physical therapy</title><addtitle>Phys Ther</addtitle><description>The step activity monitor (SAM) quantifies steps taken in the home and community by patient populations. Although the SAM has been used to study individuals after stroke, adherence to the use of SAMs has not been addressed. Participants' adherence to wearing the monitor is critical for obtaining accurate assessments.
The purpose of this study was to determine the rate of and predictors for inferred adherence to the use of the SAM after stroke.
A cross-sectional design was used.
Community-dwelling individuals (n=408) 2 months after stroke with moderate-to-severe gait impairment (gait speed of ≤0.8 m/s) were studied. Step activity was assessed for 2 days with the SAM. Inferred adherence was established in 3 periods: 6:00 am to 12:00 pm, 12:01 pm to 6:00 pm, and 6:01 pm to 12:00 am. Adherence was defined as activity recorded in all 3 periods. The percentage of participant adherence for the first day, second day, both days, and either day was calculated. Demographic and clinical characteristics of adherers and nonadherers were compared. Independent adherence predictors were identified by means of stepwise logistic regression.
Inferred adherence rates for the first day, second day, both days, and either day were 68%, 61%, 53%, and 76%, respectively. Upper and lower extremity impairment, balance control, and endurance were significantly different between adherers and nonadherers. On the other hand, older age, greater balance self-efficacy, and better walking endurance were significant predictors of adherence.
Participants were individuals with subacute stroke. Therefore, the findings of this study may not be generalized to individuals during the acute and chronic phases of stroke recovery.
Strategies to improve adherence are needed when collecting data for more than 1 day and in samples with younger individuals and those with low levels of balance self-efficacy and walking endurance.</description><subject>Accelerometers</subject><subject>Accelerometry</subject><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Clinical trials</subject><subject>Cross-Sectional Studies</subject><subject>Female</subject><subject>Gait Disorders, Neurologic - physiopathology</subject><subject>Gait Disorders, Neurologic - rehabilitation</subject><subject>Humans</subject><subject>Male</subject><subject>Medical research</subject><subject>Middle Aged</subject><subject>Patient Compliance</subject><subject>Physical Endurance - physiology</subject><subject>Physical therapy</subject><subject>Postural Balance - physiology</subject><subject>Recovery of Function</subject><subject>Rehabilitation</subject><subject>Research Reports</subject><subject>Self care (Health)</subject><subject>Stroke</subject><subject>Stroke - physiopathology</subject><subject>Stroke Rehabilitation</subject><subject>Surveys and Questionnaires</subject><issn>0031-9023</issn><issn>1538-6724</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>BEC</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqV002P0zAQBuAIgdiycOOMInEBQYq_8uELUlXBUqmwiOVuOc44dUniYjtA_z0u7S4UVWhRDpGSx69mbE-SPMZoSnJCXm3CekoQJoiV9E4ywTmtsqIk7G4yQYjijCNCz5IH3q8RQrhk_H5yRhginHA-SRazZgUOBgVpsOlMKejA2R6C26bvQfrRQQ9DSK1O57bvx8GEbTrr67GTwdgh_Wh98MHZL_Awuadl5-HR4X2eXL1983n-LlteXizms2WmSlKEDIpaNw3Lmxo0b2TFCI2Vq5zWmhe5xnWdk4YXtGaa0ZITrbmmRc15halS9Dx5vU_djHUPjYq1OdmJjTO9dFthpRHHfwazEq39JmjFSVGWMeDZIcDZryP4IHrjY9edHMCOXuA87gu9HWUclfEIyiLSp3_RtR3dEPdhpxitWMnQb9XKDoQZtI0lql2omNE8pzGt4lFlJ1QLA8R-7ADaxM9HfnrCx6eB3qiTC54fLYgmwI_QytF7sbj69B_2w61tdbH8V5MHq2zXQQsi3pj55bF_uffKWe8d6Jsjx0js5kDEORDXcxD5kz-vyQ2-vvgRvNiDlWlX340D4XvZdZH_StofHmcCx3xMfwJ_EA3_</recordid><startdate>20140101</startdate><enddate>20140101</enddate><creator>Barak, Sharon</creator><creator>Wu, Samuel S</creator><creator>Dai, Yunfeng</creator><creator>Duncan, Pamela W</creator><creator>Behrman, Andrea L</creator><general>American Physical Therapy Association</general><general>Oxford University Press</general><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>8GL</scope><scope>ISN</scope><scope>ISR</scope><scope>3V.</scope><scope>7RQ</scope><scope>7RV</scope><scope>7TS</scope><scope>7X7</scope><scope>7XB</scope><scope>88C</scope><scope>88E</scope><scope>88I</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>M0R</scope><scope>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>M2O</scope><scope>M2P</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>S0X</scope><scope>U9A</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20140101</creationdate><title>Adherence to Accelerometry Measurement of Community Ambulation Poststroke</title><author>Barak, Sharon ; Wu, Samuel S ; Dai, Yunfeng ; Duncan, Pamela W ; Behrman, Andrea L</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c726t-e6bfdd45dbef9da8423047c53bf965f1bb52d963b4f43792ff9f36b99813cc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Accelerometers</topic><topic>Accelerometry</topic><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Clinical trials</topic><topic>Cross-Sectional Studies</topic><topic>Female</topic><topic>Gait Disorders, Neurologic - physiopathology</topic><topic>Gait Disorders, Neurologic - rehabilitation</topic><topic>Humans</topic><topic>Male</topic><topic>Medical research</topic><topic>Middle Aged</topic><topic>Patient Compliance</topic><topic>Physical Endurance - physiology</topic><topic>Physical therapy</topic><topic>Postural Balance - physiology</topic><topic>Recovery of Function</topic><topic>Rehabilitation</topic><topic>Research Reports</topic><topic>Self care (Health)</topic><topic>Stroke</topic><topic>Stroke - physiopathology</topic><topic>Stroke Rehabilitation</topic><topic>Surveys and Questionnaires</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Barak, Sharon</creatorcontrib><creatorcontrib>Wu, Samuel S</creatorcontrib><creatorcontrib>Dai, Yunfeng</creatorcontrib><creatorcontrib>Duncan, Pamela W</creatorcontrib><creatorcontrib>Behrman, Andrea L</creatorcontrib><creatorcontrib>Locomotor Experience Applied Post-Stroke (LEAPS) Investigative Team</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: High School</collection><collection>Gale In Context: Canada</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Career & Technical Education Database</collection><collection>Nursing & Allied Health Database</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>Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>eLibrary</collection><collection>ProQuest Central</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>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Healthcare Administration Database</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</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 Central Basic</collection><collection>SIRS Editorial</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Physical therapy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Barak, Sharon</au><au>Wu, Samuel S</au><au>Dai, Yunfeng</au><au>Duncan, Pamela W</au><au>Behrman, Andrea L</au><aucorp>Locomotor Experience Applied Post-Stroke (LEAPS) Investigative Team</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Adherence to Accelerometry Measurement of Community Ambulation Poststroke</atitle><jtitle>Physical therapy</jtitle><addtitle>Phys Ther</addtitle><date>2014-01-01</date><risdate>2014</risdate><volume>94</volume><issue>1</issue><spage>101</spage><epage>110</epage><pages>101-110</pages><issn>0031-9023</issn><eissn>1538-6724</eissn><abstract>The step activity monitor (SAM) quantifies steps taken in the home and community by patient populations. Although the SAM has been used to study individuals after stroke, adherence to the use of SAMs has not been addressed. Participants' adherence to wearing the monitor is critical for obtaining accurate assessments.
The purpose of this study was to determine the rate of and predictors for inferred adherence to the use of the SAM after stroke.
A cross-sectional design was used.
Community-dwelling individuals (n=408) 2 months after stroke with moderate-to-severe gait impairment (gait speed of ≤0.8 m/s) were studied. Step activity was assessed for 2 days with the SAM. Inferred adherence was established in 3 periods: 6:00 am to 12:00 pm, 12:01 pm to 6:00 pm, and 6:01 pm to 12:00 am. Adherence was defined as activity recorded in all 3 periods. The percentage of participant adherence for the first day, second day, both days, and either day was calculated. Demographic and clinical characteristics of adherers and nonadherers were compared. Independent adherence predictors were identified by means of stepwise logistic regression.
Inferred adherence rates for the first day, second day, both days, and either day were 68%, 61%, 53%, and 76%, respectively. Upper and lower extremity impairment, balance control, and endurance were significantly different between adherers and nonadherers. On the other hand, older age, greater balance self-efficacy, and better walking endurance were significant predictors of adherence.
Participants were individuals with subacute stroke. Therefore, the findings of this study may not be generalized to individuals during the acute and chronic phases of stroke recovery.
Strategies to improve adherence are needed when collecting data for more than 1 day and in samples with younger individuals and those with low levels of balance self-efficacy and walking endurance.</abstract><cop>United States</cop><pub>American Physical Therapy Association</pub><pmid>24029299</pmid><doi>10.2522/ptj.20120473</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | Physical therapy, 2014-01, Vol.94 (1), p.101-110 |
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| source | Oxford University Press Journals All Titles (1996-Current); MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Alma/SFX Local Collection |
| subjects | Accelerometers Accelerometry Adolescent Adult Aged Aged, 80 and over Clinical trials Cross-Sectional Studies Female Gait Disorders, Neurologic - physiopathology Gait Disorders, Neurologic - rehabilitation Humans Male Medical research Middle Aged Patient Compliance Physical Endurance - physiology Physical therapy Postural Balance - physiology Recovery of Function Rehabilitation Research Reports Self care (Health) Stroke Stroke - physiopathology Stroke Rehabilitation Surveys and Questionnaires |
| title | Adherence to Accelerometry Measurement of Community Ambulation Poststroke |
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