Gait Speed and Step-Count Monitor Accuracy in Community-Dwelling Older Adults

Accurate assessment of physical activity (PA) is necessary to identify the sedentary older individual who is in need of activity intervention. Activity monitors are quite popular, although it has been suggested that they are less accurate at slow gait speeds. To examine the accuracy of the three act...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Medicine and science in sports and exercise 2008, Vol.40 (1), p.59-64
Hauptverfasser: STORTI, Kristi L, PETTEE, Kelley K, BRACH, Jennifer S, BERLIN TALKOWSKI, Jaime, RICHARDSON, Caroline R, KRISKA, Andrea M
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 64
container_issue 1
container_start_page 59
container_title Medicine and science in sports and exercise
container_volume 40
creator STORTI, Kristi L
PETTEE, Kelley K
BRACH, Jennifer S
BERLIN TALKOWSKI, Jaime
RICHARDSON, Caroline R
KRISKA, Andrea M
description Accurate assessment of physical activity (PA) is necessary to identify the sedentary older individual who is in need of activity intervention. Activity monitors are quite popular, although it has been suggested that they are less accurate at slow gait speeds. To examine the accuracy of the three activity monitors in older individuals who walk at various gait speeds. Participants were 34 community-dwelling older men and women (mean age 79.2) who were asked to simultaneously wear three activity monitors: the Yamax DigiWalker (DW) pedometer (hip), the Actigraph (AG) accelerometer (hip), and the StepWatch activity monitor (SAM) (ankle). Monitor accuracy was evaluated against observed steps taken during a 100-step walking test. Percent error of the monitors was calculated as [(monitor steps - observed steps)/observed steps] x 100. Participants were categorized into three groups (< 0.80, 0.80-1.0, > 1.0 m x s(-1)) according to gait speed, which was determined by a timed 4-m walk. Overall, the DW and AG failed to detect 16% and 7% of observed steps, respectively, and the SAM overestimated by 5.5%. When stratified by gait speed, all three monitors faired well at the gait speeds > 1.0 m x s(-1). For gait speeds between 0.80 and 1.0 m x s(-1), the SAM overestimated steps by 6.6%, and the AG and DW underestimated steps by 5.7% and 12.7%, respectively. However, at gait speeds < 0.80 m x s(-1), the AG and DW performed poorly, underestimating steps by 19.1% and 31.2%, whereas the SAM performed better, having overestimated steps by 6.5%. All three objective activity monitors performed well at moderate and higher walking speeds, but at decreased gait speeds, the SAM seemed to be the most accurate.
doi_str_mv 10.1249/mss.0b013e318158b504
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_70188057</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>70188057</sourcerecordid><originalsourceid>FETCH-LOGICAL-c381t-f44a91b1188553006038386f7dd417f7cf786557ba616999560d90f9cb7d6e433</originalsourceid><addsrcrecordid>eNpdkF1LwzAUhoMobk7_gUhv9K7znCVpkssxdQobu5helzRJpdIvmxbZvzeywsCrA4fnfXl5CLlFmOOCqcfK-zlkgNRRlMhlxoGdkSlyCjFQ5OdkCqh4rJDihFx5_wUAglK8JBOUoBAWMCXbtS76aN86ZyNd22jfuzZeNUPdR9umLvqmi5bGDJ02h6ioo1VTVUN4H-KnH1eWRf0Z7UrrAmSHsvfX5CLXpXc3452Rj5fn99VrvNmt31bLTWyoxD7OGdMKM0QpeZgLCVBJZZILaxmKXJhcyIRzkekEE6UUT8AqyJXJhE0co3RGHo69bdd8D873aVV4Ewbp2jWDTwWEauAigOwImq7xvnN52nZFpbtDipD-aUyDxvS_xhC7G_uHrHL2FBq9BeB-BLQ3usw7XZvCnzilmFpIRX8BDPF6Vg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>70188057</pqid></control><display><type>article</type><title>Gait Speed and Step-Count Monitor Accuracy in Community-Dwelling Older Adults</title><source>MEDLINE</source><source>Journals@Ovid LWW Legacy Archive</source><source>Journals@Ovid Complete</source><creator>STORTI, Kristi L ; PETTEE, Kelley K ; BRACH, Jennifer S ; BERLIN TALKOWSKI, Jaime ; RICHARDSON, Caroline R ; KRISKA, Andrea M</creator><creatorcontrib>STORTI, Kristi L ; PETTEE, Kelley K ; BRACH, Jennifer S ; BERLIN TALKOWSKI, Jaime ; RICHARDSON, Caroline R ; KRISKA, Andrea M</creatorcontrib><description>Accurate assessment of physical activity (PA) is necessary to identify the sedentary older individual who is in need of activity intervention. Activity monitors are quite popular, although it has been suggested that they are less accurate at slow gait speeds. To examine the accuracy of the three activity monitors in older individuals who walk at various gait speeds. Participants were 34 community-dwelling older men and women (mean age 79.2) who were asked to simultaneously wear three activity monitors: the Yamax DigiWalker (DW) pedometer (hip), the Actigraph (AG) accelerometer (hip), and the StepWatch activity monitor (SAM) (ankle). Monitor accuracy was evaluated against observed steps taken during a 100-step walking test. Percent error of the monitors was calculated as [(monitor steps - observed steps)/observed steps] x 100. Participants were categorized into three groups (&lt; 0.80, 0.80-1.0, &gt; 1.0 m x s(-1)) according to gait speed, which was determined by a timed 4-m walk. Overall, the DW and AG failed to detect 16% and 7% of observed steps, respectively, and the SAM overestimated by 5.5%. When stratified by gait speed, all three monitors faired well at the gait speeds &gt; 1.0 m x s(-1). For gait speeds between 0.80 and 1.0 m x s(-1), the SAM overestimated steps by 6.6%, and the AG and DW underestimated steps by 5.7% and 12.7%, respectively. However, at gait speeds &lt; 0.80 m x s(-1), the AG and DW performed poorly, underestimating steps by 19.1% and 31.2%, whereas the SAM performed better, having overestimated steps by 6.5%. All three objective activity monitors performed well at moderate and higher walking speeds, but at decreased gait speeds, the SAM seemed to be the most accurate.</description><identifier>ISSN: 0195-9131</identifier><identifier>EISSN: 1530-0315</identifier><identifier>DOI: 10.1249/mss.0b013e318158b504</identifier><identifier>PMID: 18091020</identifier><identifier>CODEN: MSPEDA</identifier><language>eng</language><publisher>Hagerstown, MD: Lippincott Williams &amp; Wilkins</publisher><subject>Acceleration ; Age Factors ; Aged ; Aged, 80 and over ; Ankle - physiology ; Biological and medical sciences ; Equipment Design ; Ergometry - instrumentation ; Female ; Fundamental and applied biological sciences. Psychology ; Gait - physiology ; Humans ; Male ; Pilot Projects ; Residence Characteristics ; Space life sciences ; Vertebrates: body movement. Posture. Locomotion. Flight. Swimming. Physical exercise. Rest. Sports ; Walking - physiology</subject><ispartof>Medicine and science in sports and exercise, 2008, Vol.40 (1), p.59-64</ispartof><rights>2008 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c381t-f44a91b1188553006038386f7dd417f7cf786557ba616999560d90f9cb7d6e433</citedby><cites>FETCH-LOGICAL-c381t-f44a91b1188553006038386f7dd417f7cf786557ba616999560d90f9cb7d6e433</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,4010,27904,27905,27906</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=19949289$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/18091020$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>STORTI, Kristi L</creatorcontrib><creatorcontrib>PETTEE, Kelley K</creatorcontrib><creatorcontrib>BRACH, Jennifer S</creatorcontrib><creatorcontrib>BERLIN TALKOWSKI, Jaime</creatorcontrib><creatorcontrib>RICHARDSON, Caroline R</creatorcontrib><creatorcontrib>KRISKA, Andrea M</creatorcontrib><title>Gait Speed and Step-Count Monitor Accuracy in Community-Dwelling Older Adults</title><title>Medicine and science in sports and exercise</title><addtitle>Med Sci Sports Exerc</addtitle><description>Accurate assessment of physical activity (PA) is necessary to identify the sedentary older individual who is in need of activity intervention. Activity monitors are quite popular, although it has been suggested that they are less accurate at slow gait speeds. To examine the accuracy of the three activity monitors in older individuals who walk at various gait speeds. Participants were 34 community-dwelling older men and women (mean age 79.2) who were asked to simultaneously wear three activity monitors: the Yamax DigiWalker (DW) pedometer (hip), the Actigraph (AG) accelerometer (hip), and the StepWatch activity monitor (SAM) (ankle). Monitor accuracy was evaluated against observed steps taken during a 100-step walking test. Percent error of the monitors was calculated as [(monitor steps - observed steps)/observed steps] x 100. Participants were categorized into three groups (&lt; 0.80, 0.80-1.0, &gt; 1.0 m x s(-1)) according to gait speed, which was determined by a timed 4-m walk. Overall, the DW and AG failed to detect 16% and 7% of observed steps, respectively, and the SAM overestimated by 5.5%. When stratified by gait speed, all three monitors faired well at the gait speeds &gt; 1.0 m x s(-1). For gait speeds between 0.80 and 1.0 m x s(-1), the SAM overestimated steps by 6.6%, and the AG and DW underestimated steps by 5.7% and 12.7%, respectively. However, at gait speeds &lt; 0.80 m x s(-1), the AG and DW performed poorly, underestimating steps by 19.1% and 31.2%, whereas the SAM performed better, having overestimated steps by 6.5%. All three objective activity monitors performed well at moderate and higher walking speeds, but at decreased gait speeds, the SAM seemed to be the most accurate.</description><subject>Acceleration</subject><subject>Age Factors</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Ankle - physiology</subject><subject>Biological and medical sciences</subject><subject>Equipment Design</subject><subject>Ergometry - instrumentation</subject><subject>Female</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Gait - physiology</subject><subject>Humans</subject><subject>Male</subject><subject>Pilot Projects</subject><subject>Residence Characteristics</subject><subject>Space life sciences</subject><subject>Vertebrates: body movement. Posture. Locomotion. Flight. Swimming. Physical exercise. Rest. Sports</subject><subject>Walking - physiology</subject><issn>0195-9131</issn><issn>1530-0315</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdkF1LwzAUhoMobk7_gUhv9K7znCVpkssxdQobu5helzRJpdIvmxbZvzeywsCrA4fnfXl5CLlFmOOCqcfK-zlkgNRRlMhlxoGdkSlyCjFQ5OdkCqh4rJDihFx5_wUAglK8JBOUoBAWMCXbtS76aN86ZyNd22jfuzZeNUPdR9umLvqmi5bGDJ02h6ioo1VTVUN4H-KnH1eWRf0Z7UrrAmSHsvfX5CLXpXc3452Rj5fn99VrvNmt31bLTWyoxD7OGdMKM0QpeZgLCVBJZZILaxmKXJhcyIRzkekEE6UUT8AqyJXJhE0co3RGHo69bdd8D873aVV4Ewbp2jWDTwWEauAigOwImq7xvnN52nZFpbtDipD-aUyDxvS_xhC7G_uHrHL2FBq9BeB-BLQ3usw7XZvCnzilmFpIRX8BDPF6Vg</recordid><startdate>2008</startdate><enddate>2008</enddate><creator>STORTI, Kristi L</creator><creator>PETTEE, Kelley K</creator><creator>BRACH, Jennifer S</creator><creator>BERLIN TALKOWSKI, Jaime</creator><creator>RICHARDSON, Caroline R</creator><creator>KRISKA, Andrea M</creator><general>Lippincott Williams &amp; Wilkins</general><scope>IQODW</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>7X8</scope></search><sort><creationdate>2008</creationdate><title>Gait Speed and Step-Count Monitor Accuracy in Community-Dwelling Older Adults</title><author>STORTI, Kristi L ; PETTEE, Kelley K ; BRACH, Jennifer S ; BERLIN TALKOWSKI, Jaime ; RICHARDSON, Caroline R ; KRISKA, Andrea M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c381t-f44a91b1188553006038386f7dd417f7cf786557ba616999560d90f9cb7d6e433</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Acceleration</topic><topic>Age Factors</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Ankle - physiology</topic><topic>Biological and medical sciences</topic><topic>Equipment Design</topic><topic>Ergometry - instrumentation</topic><topic>Female</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Gait - physiology</topic><topic>Humans</topic><topic>Male</topic><topic>Pilot Projects</topic><topic>Residence Characteristics</topic><topic>Space life sciences</topic><topic>Vertebrates: body movement. Posture. Locomotion. Flight. Swimming. Physical exercise. Rest. Sports</topic><topic>Walking - physiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>STORTI, Kristi L</creatorcontrib><creatorcontrib>PETTEE, Kelley K</creatorcontrib><creatorcontrib>BRACH, Jennifer S</creatorcontrib><creatorcontrib>BERLIN TALKOWSKI, Jaime</creatorcontrib><creatorcontrib>RICHARDSON, Caroline R</creatorcontrib><creatorcontrib>KRISKA, Andrea M</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Medicine and science in sports and exercise</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>STORTI, Kristi L</au><au>PETTEE, Kelley K</au><au>BRACH, Jennifer S</au><au>BERLIN TALKOWSKI, Jaime</au><au>RICHARDSON, Caroline R</au><au>KRISKA, Andrea M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Gait Speed and Step-Count Monitor Accuracy in Community-Dwelling Older Adults</atitle><jtitle>Medicine and science in sports and exercise</jtitle><addtitle>Med Sci Sports Exerc</addtitle><date>2008</date><risdate>2008</risdate><volume>40</volume><issue>1</issue><spage>59</spage><epage>64</epage><pages>59-64</pages><issn>0195-9131</issn><eissn>1530-0315</eissn><coden>MSPEDA</coden><abstract>Accurate assessment of physical activity (PA) is necessary to identify the sedentary older individual who is in need of activity intervention. Activity monitors are quite popular, although it has been suggested that they are less accurate at slow gait speeds. To examine the accuracy of the three activity monitors in older individuals who walk at various gait speeds. Participants were 34 community-dwelling older men and women (mean age 79.2) who were asked to simultaneously wear three activity monitors: the Yamax DigiWalker (DW) pedometer (hip), the Actigraph (AG) accelerometer (hip), and the StepWatch activity monitor (SAM) (ankle). Monitor accuracy was evaluated against observed steps taken during a 100-step walking test. Percent error of the monitors was calculated as [(monitor steps - observed steps)/observed steps] x 100. Participants were categorized into three groups (&lt; 0.80, 0.80-1.0, &gt; 1.0 m x s(-1)) according to gait speed, which was determined by a timed 4-m walk. Overall, the DW and AG failed to detect 16% and 7% of observed steps, respectively, and the SAM overestimated by 5.5%. When stratified by gait speed, all three monitors faired well at the gait speeds &gt; 1.0 m x s(-1). For gait speeds between 0.80 and 1.0 m x s(-1), the SAM overestimated steps by 6.6%, and the AG and DW underestimated steps by 5.7% and 12.7%, respectively. However, at gait speeds &lt; 0.80 m x s(-1), the AG and DW performed poorly, underestimating steps by 19.1% and 31.2%, whereas the SAM performed better, having overestimated steps by 6.5%. All three objective activity monitors performed well at moderate and higher walking speeds, but at decreased gait speeds, the SAM seemed to be the most accurate.</abstract><cop>Hagerstown, MD</cop><pub>Lippincott Williams &amp; Wilkins</pub><pmid>18091020</pmid><doi>10.1249/mss.0b013e318158b504</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0195-9131
ispartof Medicine and science in sports and exercise, 2008, Vol.40 (1), p.59-64
issn 0195-9131
1530-0315
language eng
recordid cdi_proquest_miscellaneous_70188057
source MEDLINE; Journals@Ovid LWW Legacy Archive; Journals@Ovid Complete
subjects Acceleration
Age Factors
Aged
Aged, 80 and over
Ankle - physiology
Biological and medical sciences
Equipment Design
Ergometry - instrumentation
Female
Fundamental and applied biological sciences. Psychology
Gait - physiology
Humans
Male
Pilot Projects
Residence Characteristics
Space life sciences
Vertebrates: body movement. Posture. Locomotion. Flight. Swimming. Physical exercise. Rest. Sports
Walking - physiology
title Gait Speed and Step-Count Monitor Accuracy in Community-Dwelling Older Adults
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-20T18%3A56%3A16IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Gait%20Speed%20and%20Step-Count%20Monitor%20Accuracy%20in%20Community-Dwelling%20Older%20Adults&rft.jtitle=Medicine%20and%20science%20in%20sports%20and%20exercise&rft.au=STORTI,%20Kristi%20L&rft.date=2008&rft.volume=40&rft.issue=1&rft.spage=59&rft.epage=64&rft.pages=59-64&rft.issn=0195-9131&rft.eissn=1530-0315&rft.coden=MSPEDA&rft_id=info:doi/10.1249/mss.0b013e318158b504&rft_dat=%3Cproquest_cross%3E70188057%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=70188057&rft_id=info:pmid/18091020&rfr_iscdi=true