Examining links between cognitive markers, movement initiation and change, and pedestrian safety in older adults
•Walking speed and start-up delay consistently predicted unsafe crossing behaviours.•Processing speed was differentially predictive of near-side crossing errors.•Spatial planning was differentially predictive of far-side crossing errors.•Start-up delay was predicted by walking speed only (explained...
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Veröffentlicht in: | Accident analysis and prevention 2016-04, Vol.89, p.151-159 |
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description | •Walking speed and start-up delay consistently predicted unsafe crossing behaviours.•Processing speed was differentially predictive of near-side crossing errors.•Spatial planning was differentially predictive of far-side crossing errors.•Start-up delay was predicted by walking speed only (explained 30.5%).
The purpose of this study was to determine the extent to which mobility indices (such as walking speed and postural sway), motor initiation, and cognitive function, specifically executive functions, including spatial planning, visual attention, and within participant variability, differentially predicted collisions in the near and far sides of the road with increasing age.
Adults aged over 45 years participated in cognitive tests measuring executive function and visual attention (using Useful Field of View; UFoV®), mobility assessments (walking speed, sit-to-stand, self-reported mobility, and postural sway assessed using motion capture cameras), and gave road crossing choices in a two-way filmed real traffic pedestrian simulation.
A stepwise regression model of walking speed, start-up delay variability, and processing speed) explained 49.4% of the variance in near-side crossing errors. Walking speed, start-up delay measures (average and variability), and spatial planning explained 54.8% of the variance in far-side unsafe crossing errors. Start-up delay was predicted by walking speed only (explained 30.5%).
Walking speed and start-up delay measures were consistent predictors of unsafe crossing behaviours. Cognitive measures, however, differentially predicted near-side errors (processing speed), and far-side errors (spatial planning). These findings offer potential contributions for identifying and rehabilitating at-risk older pedestrians. |
doi_str_mv | 10.1016/j.aap.2015.12.019 |
format | Article |
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The purpose of this study was to determine the extent to which mobility indices (such as walking speed and postural sway), motor initiation, and cognitive function, specifically executive functions, including spatial planning, visual attention, and within participant variability, differentially predicted collisions in the near and far sides of the road with increasing age.
Adults aged over 45 years participated in cognitive tests measuring executive function and visual attention (using Useful Field of View; UFoV®), mobility assessments (walking speed, sit-to-stand, self-reported mobility, and postural sway assessed using motion capture cameras), and gave road crossing choices in a two-way filmed real traffic pedestrian simulation.
A stepwise regression model of walking speed, start-up delay variability, and processing speed) explained 49.4% of the variance in near-side crossing errors. Walking speed, start-up delay measures (average and variability), and spatial planning explained 54.8% of the variance in far-side unsafe crossing errors. Start-up delay was predicted by walking speed only (explained 30.5%).
Walking speed and start-up delay measures were consistent predictors of unsafe crossing behaviours. Cognitive measures, however, differentially predicted near-side errors (processing speed), and far-side errors (spatial planning). These findings offer potential contributions for identifying and rehabilitating at-risk older pedestrians.</description><identifier>ISSN: 0001-4575</identifier><identifier>EISSN: 1879-2057</identifier><identifier>DOI: 10.1016/j.aap.2015.12.019</identifier><identifier>PMID: 26871616</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Accidents, Traffic - psychology ; Age Factors ; Aged ; Aged, 80 and over ; Attention ; Cognition ; Delay ; Error analysis ; Errors ; Female ; Humans ; Male ; Mathematical models ; Middle Aged ; Mobility ; Mobility Limitation ; Older adults ; Pedestrian risk ; Pedestrians - psychology ; Risk ; Roads ; Safety ; UFOV ; Variance ; Visual ; Walking ; Walking - physiology ; Walking - psychology</subject><ispartof>Accident analysis and prevention, 2016-04, Vol.89, p.151-159</ispartof><rights>2016 Elsevier Ltd</rights><rights>Copyright © 2016 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c490t-f55202a28bd5b99715fdda6592ca3f679e9bec5da0c8131d92e1eb4c4ef1eaac3</citedby><cites>FETCH-LOGICAL-c490t-f55202a28bd5b99715fdda6592ca3f679e9bec5da0c8131d92e1eb4c4ef1eaac3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.aap.2015.12.019$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3548,27922,27923,45993</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26871616$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Geraghty, Jennifer</creatorcontrib><creatorcontrib>Holland, Carol</creatorcontrib><creatorcontrib>Rochelle, Kim</creatorcontrib><title>Examining links between cognitive markers, movement initiation and change, and pedestrian safety in older adults</title><title>Accident analysis and prevention</title><addtitle>Accid Anal Prev</addtitle><description>•Walking speed and start-up delay consistently predicted unsafe crossing behaviours.•Processing speed was differentially predictive of near-side crossing errors.•Spatial planning was differentially predictive of far-side crossing errors.•Start-up delay was predicted by walking speed only (explained 30.5%).
The purpose of this study was to determine the extent to which mobility indices (such as walking speed and postural sway), motor initiation, and cognitive function, specifically executive functions, including spatial planning, visual attention, and within participant variability, differentially predicted collisions in the near and far sides of the road with increasing age.
Adults aged over 45 years participated in cognitive tests measuring executive function and visual attention (using Useful Field of View; UFoV®), mobility assessments (walking speed, sit-to-stand, self-reported mobility, and postural sway assessed using motion capture cameras), and gave road crossing choices in a two-way filmed real traffic pedestrian simulation.
A stepwise regression model of walking speed, start-up delay variability, and processing speed) explained 49.4% of the variance in near-side crossing errors. Walking speed, start-up delay measures (average and variability), and spatial planning explained 54.8% of the variance in far-side unsafe crossing errors. Start-up delay was predicted by walking speed only (explained 30.5%).
Walking speed and start-up delay measures were consistent predictors of unsafe crossing behaviours. Cognitive measures, however, differentially predicted near-side errors (processing speed), and far-side errors (spatial planning). These findings offer potential contributions for identifying and rehabilitating at-risk older pedestrians.</description><subject>Accidents, Traffic - psychology</subject><subject>Age Factors</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Attention</subject><subject>Cognition</subject><subject>Delay</subject><subject>Error analysis</subject><subject>Errors</subject><subject>Female</subject><subject>Humans</subject><subject>Male</subject><subject>Mathematical models</subject><subject>Middle Aged</subject><subject>Mobility</subject><subject>Mobility Limitation</subject><subject>Older adults</subject><subject>Pedestrian risk</subject><subject>Pedestrians - psychology</subject><subject>Risk</subject><subject>Roads</subject><subject>Safety</subject><subject>UFOV</subject><subject>Variance</subject><subject>Visual</subject><subject>Walking</subject><subject>Walking - physiology</subject><subject>Walking - psychology</subject><issn>0001-4575</issn><issn>1879-2057</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkcFu1DAQhi0EotvCA3BBPnJogseJY1ucUFUoUiUucLYce7J4mzjBzm7p2-NlC0fUk8eab36N5iPkDbAaGHTvd7W1S80ZiBp4zUA_IxtQUlecCfmcbBhjULVCijNynvOufKWS4iU5452S0EG3Icv1LzuFGOKWjiHeZdrjeo8YqZu3MazhgHSy6Q5TvqTTfMAJ40rDsWPXMEdqo6fuh41bvPxTL-gxrynYSLMdcH0oMJ1Hj4lavx_X_Iq8GOyY8fXje0G-f7r-dnVT3X79_OXq423lWs3WahCCM2656r3otZYgBu9tJzR3thk6qVH36IS3zClowGuOgH3rWhwArXXNBXl3yl3S_HNfdjJTyA7H0Uac99mA1A0veax9AtopoRSH5imo7LhUrSoonFCX5pwTDmZJodzywQAzR31mZ4o-c9RngJuir8y8fYzf9xP6fxN_fRXgwwnAcrpDwGSyCxgd-pDQrcbP4T_xvwHwdaxM</recordid><startdate>20160401</startdate><enddate>20160401</enddate><creator>Geraghty, Jennifer</creator><creator>Holland, Carol</creator><creator>Rochelle, Kim</creator><general>Elsevier Ltd</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>7X8</scope><scope>7T2</scope><scope>7U2</scope><scope>C1K</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>20160401</creationdate><title>Examining links between cognitive markers, movement initiation and change, and pedestrian safety in older adults</title><author>Geraghty, Jennifer ; Holland, Carol ; Rochelle, Kim</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c490t-f55202a28bd5b99715fdda6592ca3f679e9bec5da0c8131d92e1eb4c4ef1eaac3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Accidents, Traffic - psychology</topic><topic>Age Factors</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Attention</topic><topic>Cognition</topic><topic>Delay</topic><topic>Error analysis</topic><topic>Errors</topic><topic>Female</topic><topic>Humans</topic><topic>Male</topic><topic>Mathematical models</topic><topic>Middle Aged</topic><topic>Mobility</topic><topic>Mobility Limitation</topic><topic>Older adults</topic><topic>Pedestrian risk</topic><topic>Pedestrians - psychology</topic><topic>Risk</topic><topic>Roads</topic><topic>Safety</topic><topic>UFOV</topic><topic>Variance</topic><topic>Visual</topic><topic>Walking</topic><topic>Walking - physiology</topic><topic>Walking - psychology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Geraghty, Jennifer</creatorcontrib><creatorcontrib>Holland, Carol</creatorcontrib><creatorcontrib>Rochelle, Kim</creatorcontrib><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><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Safety Science and Risk</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Accident analysis and prevention</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Geraghty, Jennifer</au><au>Holland, Carol</au><au>Rochelle, Kim</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Examining links between cognitive markers, movement initiation and change, and pedestrian safety in older adults</atitle><jtitle>Accident analysis and prevention</jtitle><addtitle>Accid Anal Prev</addtitle><date>2016-04-01</date><risdate>2016</risdate><volume>89</volume><spage>151</spage><epage>159</epage><pages>151-159</pages><issn>0001-4575</issn><eissn>1879-2057</eissn><abstract>•Walking speed and start-up delay consistently predicted unsafe crossing behaviours.•Processing speed was differentially predictive of near-side crossing errors.•Spatial planning was differentially predictive of far-side crossing errors.•Start-up delay was predicted by walking speed only (explained 30.5%).
The purpose of this study was to determine the extent to which mobility indices (such as walking speed and postural sway), motor initiation, and cognitive function, specifically executive functions, including spatial planning, visual attention, and within participant variability, differentially predicted collisions in the near and far sides of the road with increasing age.
Adults aged over 45 years participated in cognitive tests measuring executive function and visual attention (using Useful Field of View; UFoV®), mobility assessments (walking speed, sit-to-stand, self-reported mobility, and postural sway assessed using motion capture cameras), and gave road crossing choices in a two-way filmed real traffic pedestrian simulation.
A stepwise regression model of walking speed, start-up delay variability, and processing speed) explained 49.4% of the variance in near-side crossing errors. Walking speed, start-up delay measures (average and variability), and spatial planning explained 54.8% of the variance in far-side unsafe crossing errors. Start-up delay was predicted by walking speed only (explained 30.5%).
Walking speed and start-up delay measures were consistent predictors of unsafe crossing behaviours. Cognitive measures, however, differentially predicted near-side errors (processing speed), and far-side errors (spatial planning). These findings offer potential contributions for identifying and rehabilitating at-risk older pedestrians.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>26871616</pmid><doi>10.1016/j.aap.2015.12.019</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Accidents, Traffic - psychology Age Factors Aged Aged, 80 and over Attention Cognition Delay Error analysis Errors Female Humans Male Mathematical models Middle Aged Mobility Mobility Limitation Older adults Pedestrian risk Pedestrians - psychology Risk Roads Safety UFOV Variance Visual Walking Walking - physiology Walking - psychology |
title | Examining links between cognitive markers, movement initiation and change, and pedestrian safety in older adults |
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