Detecting subtle mobility changes among older adults: the Quantitative Timed Up and Go test
Background The Quantitative Timed Up and Go (QTUG) test uses wearable sensors, containing a triaxial accelerometer and an add-on triaxial gyroscope, to quantify performance during the TUG test with potential to capture more minor changes in mobility. Aims To examine the responsiveness, minimum detec...
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| Veröffentlicht in: | Aging clinical and experimental research 2021-08, Vol.33 (8), p.2157-2164 |
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| creator | Smith, Erin Cunningham, Caitriona Greene, Barry R. McCarthy Persson, Ulrik Blake, Catherine |
| description | Background
The Quantitative Timed Up and Go (QTUG) test uses wearable sensors, containing a triaxial accelerometer and an add-on triaxial gyroscope, to quantify performance during the TUG test with potential to capture more minor changes in mobility.
Aims
To examine the responsiveness, minimum detectable change (MDC) and observed effect size of QTUG in a cohort of socially active adults aged 50 years and over participating in a structured community exercise program.
Methods
54 participants (91% females, mean age 63.6 ± 6.5 years) completed repeated QTUG testing under single- and dual-task conditions. Responsiveness of the QTUG was assessed by correlation of change in standard TUG with QTUG change (Pearson’s correlation coefficient). MDC and effect sizes (standardized mean difference and Cohen’s
d
) were also calculated for QTUG.
Results
There was a strong positive correlation between change in the standard TUG and change in QTUG (single task
r
= 0.91,
p
|
| doi_str_mv | 10.1007/s40520-020-01733-7 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2554496482</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2554496482</sourcerecordid><originalsourceid>FETCH-LOGICAL-c352t-37fd8ed322223057dd3ca80789df929c229af08c43c8f9b072daee3aecaf1fe43</originalsourceid><addsrcrecordid>eNqNUV1rFTEQXUSxtfoHfAr4Isjq5Osm8U2uWoWCCO2TD0tuMmlTdpPrJqv035t1RcEHMWSYCXNO5uSk655SeEkB1KsiQDLoYQ2qOO_Vve6UqnbUnJr7rZZG9LDbqZPuUSm3AIK2xsPuhHMwGpQ57b68xYquxnRNynKoI5IpH-IY6x1xNzZdYyF2yq2bR48zsX4Za3lN6g2Sz4tNNVZb4zckl3FCT66OxCZPzjOpWOrj7kGwY8Env_JZd_X-3eX-Q3_x6fzj_s1F77hktecqeI2es7Y4SOU9d7ap08YHw4xjzNgA2gnudDAHUMxbRG7R2UADCn7WPd_uPc7569IGD1MsDsfRJsxLGZiQglIujGzQZ39Bb_Myp6ZuYFIKYXZCs4ZiG8rNuZQZw3Cc42Tnu4HCsFo_bNYPsMZq_aAa6cVG-o6HHIqLmBz-JgKA1Fy03SpYR-j_R-9_upzTPi-pNirfqKXB2w_Nf97wD3k_APRcpUg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2554496482</pqid></control><display><type>article</type><title>Detecting subtle mobility changes among older adults: the Quantitative Timed Up and Go test</title><source>SpringerLink_现刊</source><source>Web of Science - Science Citation Index Expanded - 2021<img src="https://exlibris-pub.s3.amazonaws.com/fromwos-v2.jpg" /></source><creator>Smith, Erin ; Cunningham, Caitriona ; Greene, Barry R. ; McCarthy Persson, Ulrik ; Blake, Catherine</creator><creatorcontrib>Smith, Erin ; Cunningham, Caitriona ; Greene, Barry R. ; McCarthy Persson, Ulrik ; Blake, Catherine</creatorcontrib><description>Background
The Quantitative Timed Up and Go (QTUG) test uses wearable sensors, containing a triaxial accelerometer and an add-on triaxial gyroscope, to quantify performance during the TUG test with potential to capture more minor changes in mobility.
Aims
To examine the responsiveness, minimum detectable change (MDC) and observed effect size of QTUG in a cohort of socially active adults aged 50 years and over participating in a structured community exercise program.
Methods
54 participants (91% females, mean age 63.6 ± 6.5 years) completed repeated QTUG testing under single- and dual-task conditions. Responsiveness of the QTUG was assessed by correlation of change in standard TUG with QTUG change (Pearson’s correlation coefficient). MDC and effect sizes (standardized mean difference and Cohen’s
d
) were also calculated for QTUG.
Results
There was a strong positive correlation between change in the standard TUG and change in QTUG (single task
r
= 0.91,
p
< 0.001). MDC in QTUG was calculated as 0.77 (Sd, 1.39; ICC 0.96) seconds (single task) and 2.33 (Sd 2.18; ICC 0.85) seconds (dual task). Several QTUG parameters showed improvements in mean values with small effect sizes (sit -to-stand transition time
d
= 0.418; walk time
d
= 0.398; cadence
d
= 0.306, swing time
d
= 0.314; step time
d
= 0.479; gait velocity
d
= 0.365; time to reach turn
d
= 0.322) under single-task conditions and with a moderate effect size (
d
= 0.549) in time taken to turn under the dual-task condition.
Conclusion
Initial evidence of QTUG’s responsiveness to change in mobility in active middle to older age adults has been demonstrated with small to moderate effect sizes observed in specific QTUG parameters.</description><identifier>ISSN: 1594-0667</identifier><identifier>ISSN: 1720-8319</identifier><identifier>EISSN: 1720-8319</identifier><identifier>DOI: 10.1007/s40520-020-01733-7</identifier><identifier>PMID: 33098079</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Age ; Aging ; Bones ; Fractures ; Frailty ; Gait ; Geriatrics & Gerontology ; Life Sciences & Biomedicine ; Medicine ; Medicine & Public Health ; Mobility ; Older people ; Original Article ; Osteoporosis ; Population ; Science & Technology ; Sensors</subject><ispartof>Aging clinical and experimental research, 2021-08, Vol.33 (8), p.2157-2164</ispartof><rights>Springer Nature Switzerland AG 2020</rights><rights>Springer Nature Switzerland AG 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>4</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000583483400002</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c352t-37fd8ed322223057dd3ca80789df929c229af08c43c8f9b072daee3aecaf1fe43</citedby><cites>FETCH-LOGICAL-c352t-37fd8ed322223057dd3ca80789df929c229af08c43c8f9b072daee3aecaf1fe43</cites><orcidid>0000-0003-4445-9609 ; 0000-0002-5673-405X ; 0000-0002-0600-629X ; 0000-0002-8916-9499</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s40520-020-01733-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s40520-020-01733-7$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>315,782,786,27931,27932,39265,41495,42564,51326</link.rule.ids></links><search><creatorcontrib>Smith, Erin</creatorcontrib><creatorcontrib>Cunningham, Caitriona</creatorcontrib><creatorcontrib>Greene, Barry R.</creatorcontrib><creatorcontrib>McCarthy Persson, Ulrik</creatorcontrib><creatorcontrib>Blake, Catherine</creatorcontrib><title>Detecting subtle mobility changes among older adults: the Quantitative Timed Up and Go test</title><title>Aging clinical and experimental research</title><addtitle>Aging Clin Exp Res</addtitle><addtitle>AGING CLIN EXP RES</addtitle><description>Background
The Quantitative Timed Up and Go (QTUG) test uses wearable sensors, containing a triaxial accelerometer and an add-on triaxial gyroscope, to quantify performance during the TUG test with potential to capture more minor changes in mobility.
Aims
To examine the responsiveness, minimum detectable change (MDC) and observed effect size of QTUG in a cohort of socially active adults aged 50 years and over participating in a structured community exercise program.
Methods
54 participants (91% females, mean age 63.6 ± 6.5 years) completed repeated QTUG testing under single- and dual-task conditions. Responsiveness of the QTUG was assessed by correlation of change in standard TUG with QTUG change (Pearson’s correlation coefficient). MDC and effect sizes (standardized mean difference and Cohen’s
d
) were also calculated for QTUG.
Results
There was a strong positive correlation between change in the standard TUG and change in QTUG (single task
r
= 0.91,
p
< 0.001). MDC in QTUG was calculated as 0.77 (Sd, 1.39; ICC 0.96) seconds (single task) and 2.33 (Sd 2.18; ICC 0.85) seconds (dual task). Several QTUG parameters showed improvements in mean values with small effect sizes (sit -to-stand transition time
d
= 0.418; walk time
d
= 0.398; cadence
d
= 0.306, swing time
d
= 0.314; step time
d
= 0.479; gait velocity
d
= 0.365; time to reach turn
d
= 0.322) under single-task conditions and with a moderate effect size (
d
= 0.549) in time taken to turn under the dual-task condition.
Conclusion
Initial evidence of QTUG’s responsiveness to change in mobility in active middle to older age adults has been demonstrated with small to moderate effect sizes observed in specific QTUG parameters.</description><subject>Age</subject><subject>Aging</subject><subject>Bones</subject><subject>Fractures</subject><subject>Frailty</subject><subject>Gait</subject><subject>Geriatrics & Gerontology</subject><subject>Life Sciences & Biomedicine</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Mobility</subject><subject>Older people</subject><subject>Original Article</subject><subject>Osteoporosis</subject><subject>Population</subject><subject>Science & Technology</subject><subject>Sensors</subject><issn>1594-0667</issn><issn>1720-8319</issn><issn>1720-8319</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>HGBXW</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNqNUV1rFTEQXUSxtfoHfAr4Isjq5Osm8U2uWoWCCO2TD0tuMmlTdpPrJqv035t1RcEHMWSYCXNO5uSk655SeEkB1KsiQDLoYQ2qOO_Vve6UqnbUnJr7rZZG9LDbqZPuUSm3AIK2xsPuhHMwGpQ57b68xYquxnRNynKoI5IpH-IY6x1xNzZdYyF2yq2bR48zsX4Za3lN6g2Sz4tNNVZb4zckl3FCT66OxCZPzjOpWOrj7kGwY8Env_JZd_X-3eX-Q3_x6fzj_s1F77hktecqeI2es7Y4SOU9d7ap08YHw4xjzNgA2gnudDAHUMxbRG7R2UADCn7WPd_uPc7569IGD1MsDsfRJsxLGZiQglIujGzQZ39Bb_Myp6ZuYFIKYXZCs4ZiG8rNuZQZw3Cc42Tnu4HCsFo_bNYPsMZq_aAa6cVG-o6HHIqLmBz-JgKA1Fy03SpYR-j_R-9_upzTPi-pNirfqKXB2w_Nf97wD3k_APRcpUg</recordid><startdate>20210801</startdate><enddate>20210801</enddate><creator>Smith, Erin</creator><creator>Cunningham, Caitriona</creator><creator>Greene, Barry R.</creator><creator>McCarthy Persson, Ulrik</creator><creator>Blake, Catherine</creator><general>Springer International Publishing</general><general>Springer Nature</general><general>Springer Nature B.V</general><scope>BLEPL</scope><scope>DTL</scope><scope>HGBXW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-4445-9609</orcidid><orcidid>https://orcid.org/0000-0002-5673-405X</orcidid><orcidid>https://orcid.org/0000-0002-0600-629X</orcidid><orcidid>https://orcid.org/0000-0002-8916-9499</orcidid></search><sort><creationdate>20210801</creationdate><title>Detecting subtle mobility changes among older adults: the Quantitative Timed Up and Go test</title><author>Smith, Erin ; Cunningham, Caitriona ; Greene, Barry R. ; McCarthy Persson, Ulrik ; Blake, Catherine</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c352t-37fd8ed322223057dd3ca80789df929c229af08c43c8f9b072daee3aecaf1fe43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Age</topic><topic>Aging</topic><topic>Bones</topic><topic>Fractures</topic><topic>Frailty</topic><topic>Gait</topic><topic>Geriatrics & Gerontology</topic><topic>Life Sciences & Biomedicine</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Mobility</topic><topic>Older people</topic><topic>Original Article</topic><topic>Osteoporosis</topic><topic>Population</topic><topic>Science & Technology</topic><topic>Sensors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Smith, Erin</creatorcontrib><creatorcontrib>Cunningham, Caitriona</creatorcontrib><creatorcontrib>Greene, Barry R.</creatorcontrib><creatorcontrib>McCarthy Persson, Ulrik</creatorcontrib><creatorcontrib>Blake, Catherine</creatorcontrib><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Web of Science - Science Citation Index Expanded - 2021</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</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 Databases</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><jtitle>Aging clinical and experimental research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Smith, Erin</au><au>Cunningham, Caitriona</au><au>Greene, Barry R.</au><au>McCarthy Persson, Ulrik</au><au>Blake, Catherine</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Detecting subtle mobility changes among older adults: the Quantitative Timed Up and Go test</atitle><jtitle>Aging clinical and experimental research</jtitle><stitle>Aging Clin Exp Res</stitle><stitle>AGING CLIN EXP RES</stitle><date>2021-08-01</date><risdate>2021</risdate><volume>33</volume><issue>8</issue><spage>2157</spage><epage>2164</epage><pages>2157-2164</pages><issn>1594-0667</issn><issn>1720-8319</issn><eissn>1720-8319</eissn><abstract>Background
The Quantitative Timed Up and Go (QTUG) test uses wearable sensors, containing a triaxial accelerometer and an add-on triaxial gyroscope, to quantify performance during the TUG test with potential to capture more minor changes in mobility.
Aims
To examine the responsiveness, minimum detectable change (MDC) and observed effect size of QTUG in a cohort of socially active adults aged 50 years and over participating in a structured community exercise program.
Methods
54 participants (91% females, mean age 63.6 ± 6.5 years) completed repeated QTUG testing under single- and dual-task conditions. Responsiveness of the QTUG was assessed by correlation of change in standard TUG with QTUG change (Pearson’s correlation coefficient). MDC and effect sizes (standardized mean difference and Cohen’s
d
) were also calculated for QTUG.
Results
There was a strong positive correlation between change in the standard TUG and change in QTUG (single task
r
= 0.91,
p
< 0.001). MDC in QTUG was calculated as 0.77 (Sd, 1.39; ICC 0.96) seconds (single task) and 2.33 (Sd 2.18; ICC 0.85) seconds (dual task). Several QTUG parameters showed improvements in mean values with small effect sizes (sit -to-stand transition time
d
= 0.418; walk time
d
= 0.398; cadence
d
= 0.306, swing time
d
= 0.314; step time
d
= 0.479; gait velocity
d
= 0.365; time to reach turn
d
= 0.322) under single-task conditions and with a moderate effect size (
d
= 0.549) in time taken to turn under the dual-task condition.
Conclusion
Initial evidence of QTUG’s responsiveness to change in mobility in active middle to older age adults has been demonstrated with small to moderate effect sizes observed in specific QTUG parameters.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>33098079</pmid><doi>10.1007/s40520-020-01733-7</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0003-4445-9609</orcidid><orcidid>https://orcid.org/0000-0002-5673-405X</orcidid><orcidid>https://orcid.org/0000-0002-0600-629X</orcidid><orcidid>https://orcid.org/0000-0002-8916-9499</orcidid></addata></record> |
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| source | SpringerLink_现刊; Web of Science - Science Citation Index Expanded - 2021<img src="https://exlibris-pub.s3.amazonaws.com/fromwos-v2.jpg" /> |
| subjects | Age Aging Bones Fractures Frailty Gait Geriatrics & Gerontology Life Sciences & Biomedicine Medicine Medicine & Public Health Mobility Older people Original Article Osteoporosis Population Science & Technology Sensors |
| title | Detecting subtle mobility changes among older adults: the Quantitative Timed Up and Go test |
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