Loading…

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...

Full description

Saved in:
Bibliographic Details
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
Main Authors: Crane, Breanna M, Moored, Kyle D, Rosso, Andrea L, Carlson, Michelle C
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c383t-305023d7138f9678cb98b03f6fffb36d474c94862e7c0a393590447327abc7d83
cites cdi_FETCH-LOGICAL-c383t-305023d7138f9678cb98b03f6fffb36d474c94862e7c0a393590447327abc7d83
container_end_page 820
container_issue 5
container_start_page 811
container_title The journals of gerontology. Series A, Biological sciences and medical sciences
container_volume 78
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
format article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10172976</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><oup_id>10.1093/gerona/glac185</oup_id><sourcerecordid>2711840128</sourcerecordid><originalsourceid>FETCH-LOGICAL-c383t-305023d7138f9678cb98b03f6fffb36d474c94862e7c0a393590447327abc7d83</originalsourceid><addsrcrecordid>eNqFkc9O3DAQxi1UBHThyrGK1As9hLXj-N-pQqtlWwkEEiBxsxzHCUaOvbUTBG_Ds_TJmtUuK8qFucxI85tvZvQBcIzgKYICT1sTg1fT1imNONkBB4gRnhNM7r-MNWQiJxDSffA1pUe4ClLsgX1MIcOU0QMwv0vWt9ni-ia7NfrBBxdaa1LWh2z-rDrrTTYLXTd4279kl6GyblVYn1252sS_r2f14Pp0CHYb5ZI52uQJuDuf385-5RdXi9-zs4tcY477HEMCC1wzhHkjKOO6EryCuKFN01SY1iUrtSg5LQzTUGGBiYBlyXDBVKVZzfEE_FzrLoeqM7U2vo_KyWW0nYovMigr_-94-yDb8CQRRKwQjI4KJxuFGP4MJvWys0kb55Q3YUiyYAjxEqJitez7B_QxDNGP_8mCo5JAgogYqdM1pWNIKZpmew2CcmWRXFskNxaNA9_e_7DF3zwZgR9rIAzLz8T-AWvqnRE</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2814505159</pqid></control><display><type>article</type><title>Using GPS Technologies to Examine Community Mobility in Older Adults</title><source>Oxford University Press:Jisc Collections:OUP Read and Publish 2024-2025 (2024 collection) (Reading list)</source><creator>Crane, Breanna M ; Moored, Kyle D ; Rosso, Andrea L ; Carlson, Michelle C</creator><contributor>Lipsitz, Lewis A</contributor><creatorcontrib>Crane, Breanna M ; Moored, Kyle D ; Rosso, Andrea L ; Carlson, Michelle C ; Lipsitz, Lewis A</creatorcontrib><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 &lt; .05). A more circular activity shape was related to poorer performance on the Trail Making Test, Part A (ρ = 0.18, p &lt; .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 &lt; .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 &lt; .05). A more circular activity shape was related to poorer performance on the Trail Making Test, Part A (ρ = 0.18, p &lt; .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 &lt; .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 &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; 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 &lt; .05). A more circular activity shape was related to poorer performance on the Trail Making Test, Part A (ρ = 0.18, p &lt; .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 &lt; .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>
fulltext fulltext
identifier ISSN: 1079-5006
ispartof The journals of gerontology. Series A, Biological sciences and medical sciences, 2023-05, Vol.78 (5), p.811-820
issn 1079-5006
1758-535X
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10172976
source Oxford University Press:Jisc Collections:OUP Read and Publish 2024-2025 (2024 collection) (Reading list)
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
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-25T16%3A59%3A03IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Using%20GPS%20Technologies%20to%20Examine%20Community%20Mobility%20in%20Older%C2%A0Adults&rft.jtitle=The%20journals%20of%20gerontology.%20Series%20A,%20Biological%20sciences%20and%20medical%20sciences&rft.au=Crane,%20Breanna%C2%A0M&rft.date=2023-05-11&rft.volume=78&rft.issue=5&rft.spage=811&rft.epage=820&rft.pages=811-820&rft.issn=1079-5006&rft.eissn=1758-535X&rft_id=info:doi/10.1093/gerona/glac185&rft_dat=%3Cproquest_pubme%3E2711840128%3C/proquest_pubme%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c383t-305023d7138f9678cb98b03f6fffb36d474c94862e7c0a393590447327abc7d83%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2814505159&rft_id=info:pmid/36073676&rft_oup_id=10.1093/gerona/glac185&rfr_iscdi=true