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...
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Veröffentlicht in: | Medicine and science in sports and exercise 2008, Vol.40 (1), p.59-64 |
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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 |
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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.</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 & 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&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 (< 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.</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 & 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 (< 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.</abstract><cop>Hagerstown, MD</cop><pub>Lippincott Williams & Wilkins</pub><pmid>18091020</pmid><doi>10.1249/mss.0b013e318158b504</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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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 |
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