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Using GPS Technologies to Examine Community Mobility in Older Adults
Abstract Background Objective measures of community mobility are advantageous for capturing movement outside the home. Compared with subjective, self-reported techniques, global positioning system (GPS) technologies leverage passive, real-time location data to reduce recall bias and increase measure...
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Published in: | The journals of gerontology. Series A, Biological sciences and medical sciences Biological sciences and medical sciences, 2023-05, Vol.78 (5), p.811-820 |
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creator | Crane, Breanna M Moored, Kyle D Rosso, Andrea L Carlson, Michelle C |
description | Abstract
Background
Objective measures of community mobility are advantageous for capturing movement outside the home. Compared with subjective, self-reported techniques, global positioning system (GPS) technologies leverage passive, real-time location data to reduce recall bias and increase measurement precision. We developed methods to quantify community mobility among community-dwelling older adults and assessed how GPS-derived indicators relate to clinical measures of physical and cognitive performance.
Methods
Participants (n = 149; M ± standard deviation [SD] = 77.1 ± 6.5 years) from the program to improve mobility in aging (PRIMA) study, a physical therapy intervention to improve walking ability, carried a GPS device for 7 days. Community mobility was characterized by assessing activity space, shape, duration, and distance. Associations between GPS-derived indicators and cognition and physical function were evaluated using Spearman correlations.
Results
In adjusted models, a larger activity space, greater duration (eg, time out-of-home), and greater distance traveled from home were correlated with better 6-Minute Walk Test performance (ρ = 0.17–0.23, p’s < .05). A more circular activity shape was related to poorer performance on the Trail Making Test, Part A (ρ = 0.18, p < .05). More time out-of-home and a larger activity space were correlated with faster times on the Trail Making Test, Part B (ρ = −0.18 to −0.24, p’s < .05). Community mobility measures were not associated with global cognition, skilled walking, or usual gait speed.
Conclusion
GPS-derived community mobility indicators capture real-world activity among older adults and were correlated with clinical measures of executive function and walking endurance. These findings will guide the design of future interventions to promote community mobility. |
doi_str_mv | 10.1093/gerona/glac185 |
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Background
Objective measures of community mobility are advantageous for capturing movement outside the home. Compared with subjective, self-reported techniques, global positioning system (GPS) technologies leverage passive, real-time location data to reduce recall bias and increase measurement precision. We developed methods to quantify community mobility among community-dwelling older adults and assessed how GPS-derived indicators relate to clinical measures of physical and cognitive performance.
Methods
Participants (n = 149; M ± standard deviation [SD] = 77.1 ± 6.5 years) from the program to improve mobility in aging (PRIMA) study, a physical therapy intervention to improve walking ability, carried a GPS device for 7 days. Community mobility was characterized by assessing activity space, shape, duration, and distance. Associations between GPS-derived indicators and cognition and physical function were evaluated using Spearman correlations.
Results
In adjusted models, a larger activity space, greater duration (eg, time out-of-home), and greater distance traveled from home were correlated with better 6-Minute Walk Test performance (ρ = 0.17–0.23, p’s < .05). A more circular activity shape was related to poorer performance on the Trail Making Test, Part A (ρ = 0.18, p < .05). More time out-of-home and a larger activity space were correlated with faster times on the Trail Making Test, Part B (ρ = −0.18 to −0.24, p’s < .05). Community mobility measures were not associated with global cognition, skilled walking, or usual gait speed.
Conclusion
GPS-derived community mobility indicators capture real-world activity among older adults and were correlated with clinical measures of executive function and walking endurance. These findings will guide the design of future interventions to promote community mobility.</description><identifier>ISSN: 1079-5006</identifier><identifier>EISSN: 1758-535X</identifier><identifier>DOI: 10.1093/gerona/glac185</identifier><identifier>PMID: 36073676</identifier><language>eng</language><publisher>US: Oxford University Press</publisher><subject>Aged ; Cognition ; Cognitive ability ; Editor's Choice ; Executive Function ; Gait ; Geographic Information Systems ; Global positioning systems ; GPS ; Humans ; Independent Living ; Mobility ; Mobility Limitation ; Older people ; THE JOURNAL OF GERONTOLOGY: Medical Sciences ; Walking</subject><ispartof>The journals of gerontology. Series A, Biological sciences and medical sciences, 2023-05, Vol.78 (5), p.811-820</ispartof><rights>The Author(s) 2022. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com. 2022</rights><rights>The Author(s) 2022. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.</rights><rights>Copyright Oxford University Press May 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c383t-305023d7138f9678cb98b03f6fffb36d474c94862e7c0a393590447327abc7d83</citedby><cites>FETCH-LOGICAL-c383t-305023d7138f9678cb98b03f6fffb36d474c94862e7c0a393590447327abc7d83</cites><orcidid>0000-0001-8938-6357 ; 0000-0002-3822-1752</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36073676$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Lipsitz, Lewis A</contributor><creatorcontrib>Crane, Breanna M</creatorcontrib><creatorcontrib>Moored, Kyle D</creatorcontrib><creatorcontrib>Rosso, Andrea L</creatorcontrib><creatorcontrib>Carlson, Michelle C</creatorcontrib><title>Using GPS Technologies to Examine Community Mobility in Older Adults</title><title>The journals of gerontology. Series A, Biological sciences and medical sciences</title><addtitle>J Gerontol A Biol Sci Med Sci</addtitle><description>Abstract
Background
Objective measures of community mobility are advantageous for capturing movement outside the home. Compared with subjective, self-reported techniques, global positioning system (GPS) technologies leverage passive, real-time location data to reduce recall bias and increase measurement precision. We developed methods to quantify community mobility among community-dwelling older adults and assessed how GPS-derived indicators relate to clinical measures of physical and cognitive performance.
Methods
Participants (n = 149; M ± standard deviation [SD] = 77.1 ± 6.5 years) from the program to improve mobility in aging (PRIMA) study, a physical therapy intervention to improve walking ability, carried a GPS device for 7 days. Community mobility was characterized by assessing activity space, shape, duration, and distance. Associations between GPS-derived indicators and cognition and physical function were evaluated using Spearman correlations.
Results
In adjusted models, a larger activity space, greater duration (eg, time out-of-home), and greater distance traveled from home were correlated with better 6-Minute Walk Test performance (ρ = 0.17–0.23, p’s < .05). A more circular activity shape was related to poorer performance on the Trail Making Test, Part A (ρ = 0.18, p < .05). More time out-of-home and a larger activity space were correlated with faster times on the Trail Making Test, Part B (ρ = −0.18 to −0.24, p’s < .05). Community mobility measures were not associated with global cognition, skilled walking, or usual gait speed.
Conclusion
GPS-derived community mobility indicators capture real-world activity among older adults and were correlated with clinical measures of executive function and walking endurance. These findings will guide the design of future interventions to promote community mobility.</description><subject>Aged</subject><subject>Cognition</subject><subject>Cognitive ability</subject><subject>Editor's Choice</subject><subject>Executive Function</subject><subject>Gait</subject><subject>Geographic Information Systems</subject><subject>Global positioning systems</subject><subject>GPS</subject><subject>Humans</subject><subject>Independent Living</subject><subject>Mobility</subject><subject>Mobility Limitation</subject><subject>Older people</subject><subject>THE JOURNAL OF GERONTOLOGY: Medical Sciences</subject><subject>Walking</subject><issn>1079-5006</issn><issn>1758-535X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNqFkc9O3DAQxi1UBHThyrGK1As9hLXj-N-pQqtlWwkEEiBxsxzHCUaOvbUTBG_Ds_TJmtUuK8qFucxI85tvZvQBcIzgKYICT1sTg1fT1imNONkBB4gRnhNM7r-MNWQiJxDSffA1pUe4ClLsgX1MIcOU0QMwv0vWt9ni-ia7NfrBBxdaa1LWh2z-rDrrTTYLXTd4279kl6GyblVYn1252sS_r2f14Pp0CHYb5ZI52uQJuDuf385-5RdXi9-zs4tcY477HEMCC1wzhHkjKOO6EryCuKFN01SY1iUrtSg5LQzTUGGBiYBlyXDBVKVZzfEE_FzrLoeqM7U2vo_KyWW0nYovMigr_-94-yDb8CQRRKwQjI4KJxuFGP4MJvWys0kb55Q3YUiyYAjxEqJitez7B_QxDNGP_8mCo5JAgogYqdM1pWNIKZpmew2CcmWRXFskNxaNA9_e_7DF3zwZgR9rIAzLz8T-AWvqnRE</recordid><startdate>20230511</startdate><enddate>20230511</enddate><creator>Crane, Breanna M</creator><creator>Moored, Kyle D</creator><creator>Rosso, Andrea L</creator><creator>Carlson, Michelle C</creator><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>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-8938-6357</orcidid><orcidid>https://orcid.org/0000-0002-3822-1752</orcidid></search><sort><creationdate>20230511</creationdate><title>Using GPS Technologies to Examine Community Mobility in Older Adults</title><author>Crane, Breanna M ; Moored, Kyle D ; Rosso, Andrea L ; Carlson, Michelle C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c383t-305023d7138f9678cb98b03f6fffb36d474c94862e7c0a393590447327abc7d83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Aged</topic><topic>Cognition</topic><topic>Cognitive ability</topic><topic>Editor's Choice</topic><topic>Executive Function</topic><topic>Gait</topic><topic>Geographic Information Systems</topic><topic>Global positioning systems</topic><topic>GPS</topic><topic>Humans</topic><topic>Independent Living</topic><topic>Mobility</topic><topic>Mobility Limitation</topic><topic>Older people</topic><topic>THE JOURNAL OF GERONTOLOGY: Medical Sciences</topic><topic>Walking</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Crane, Breanna M</creatorcontrib><creatorcontrib>Moored, Kyle D</creatorcontrib><creatorcontrib>Rosso, Andrea L</creatorcontrib><creatorcontrib>Carlson, Michelle C</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>The journals of gerontology. Series A, Biological sciences and medical sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Crane, Breanna M</au><au>Moored, Kyle D</au><au>Rosso, Andrea L</au><au>Carlson, Michelle C</au><au>Lipsitz, Lewis A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Using GPS Technologies to Examine Community Mobility in Older Adults</atitle><jtitle>The journals of gerontology. Series A, Biological sciences and medical sciences</jtitle><addtitle>J Gerontol A Biol Sci Med Sci</addtitle><date>2023-05-11</date><risdate>2023</risdate><volume>78</volume><issue>5</issue><spage>811</spage><epage>820</epage><pages>811-820</pages><issn>1079-5006</issn><eissn>1758-535X</eissn><abstract>Abstract
Background
Objective measures of community mobility are advantageous for capturing movement outside the home. Compared with subjective, self-reported techniques, global positioning system (GPS) technologies leverage passive, real-time location data to reduce recall bias and increase measurement precision. We developed methods to quantify community mobility among community-dwelling older adults and assessed how GPS-derived indicators relate to clinical measures of physical and cognitive performance.
Methods
Participants (n = 149; M ± standard deviation [SD] = 77.1 ± 6.5 years) from the program to improve mobility in aging (PRIMA) study, a physical therapy intervention to improve walking ability, carried a GPS device for 7 days. Community mobility was characterized by assessing activity space, shape, duration, and distance. Associations between GPS-derived indicators and cognition and physical function were evaluated using Spearman correlations.
Results
In adjusted models, a larger activity space, greater duration (eg, time out-of-home), and greater distance traveled from home were correlated with better 6-Minute Walk Test performance (ρ = 0.17–0.23, p’s < .05). A more circular activity shape was related to poorer performance on the Trail Making Test, Part A (ρ = 0.18, p < .05). More time out-of-home and a larger activity space were correlated with faster times on the Trail Making Test, Part B (ρ = −0.18 to −0.24, p’s < .05). Community mobility measures were not associated with global cognition, skilled walking, or usual gait speed.
Conclusion
GPS-derived community mobility indicators capture real-world activity among older adults and were correlated with clinical measures of executive function and walking endurance. These findings will guide the design of future interventions to promote community mobility.</abstract><cop>US</cop><pub>Oxford University Press</pub><pmid>36073676</pmid><doi>10.1093/gerona/glac185</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0001-8938-6357</orcidid><orcidid>https://orcid.org/0000-0002-3822-1752</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Aged Cognition Cognitive ability Editor's Choice Executive Function Gait Geographic Information Systems Global positioning systems GPS Humans Independent Living Mobility Mobility Limitation Older people THE JOURNAL OF GERONTOLOGY: Medical Sciences Walking |
title | Using GPS Technologies to Examine Community Mobility in Older Adults |
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