Dual Tasking for the Differentiation between Depression and Mild Cognitive Impairment
Differentiation of mild cognitive impairment from depression in elderly adults is a clinically relevant issue which is not sufficiently solved. Gait and dual task (DT) parameters may have the potential to complement current diagnostic work-up, as both dementia and depression are associated with chan...
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Veröffentlicht in: | Frontiers in aging neuroscience 2016-10, Vol.8, p.235-235 |
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creator | Metzger, Florian G Hobert, Markus A Ehlis, Ann-Christine Hasmann, Sandra E Hahn, Tim Eschweiler, Gerhard W Berg, Daniela Fallgatter, Andreas J Maetzler, Walter |
description | Differentiation of mild cognitive impairment from depression in elderly adults is a clinically relevant issue which is not sufficiently solved. Gait and dual task (DT) parameters may have the potential to complement current diagnostic work-up, as both dementia and depression are associated with changes of gait and DT parameters.
Seven hundred and four participants of the TREND study (Tübinger evaluation of Risk factors for Early detection of NeuroDegeneration) aged 50-80 years were assessed using the Consortium to Establish a Registry for Alzheimer's Disease Plus test battery for testing cognition and Beck's Depression Inventory for evaluation of depression. Based on these results, four groups were defined: acute depressed (
= 53), cognitively mildly impaired (
= 97), acute depressed, and cognitively mildly impaired (
= 15), and controls (
= 536). Participants underwent a 20 m walk and checking boxes task under single (ST) and DT conditions. ST and DT performance and dual task costs (DTC) were calculated. Due to the typical age of increasing incidence of depressive and also cognitive symptoms, the 7th decade was calculated separately.
ST speeds of gait and checking boxes, DT walking speed, and walking DTC were significantly different between groups. Healthy controls were the fastest in all paradigms and cognitively mildly impaired had higher DTC than depressed individuals. Additionally, we constructed a multivariate predictive model differentiating the groups on a single-subject level.
DT parameters are simply and comfortably measureable, and DTC can easily be determined. The combination of these parameters allows a differentiation of depressed and cognitively mildly impaired elderly adults. |
doi_str_mv | 10.3389/fnagi.2016.00235 |
format | Article |
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Seven hundred and four participants of the TREND study (Tübinger evaluation of Risk factors for Early detection of NeuroDegeneration) aged 50-80 years were assessed using the Consortium to Establish a Registry for Alzheimer's Disease Plus test battery for testing cognition and Beck's Depression Inventory for evaluation of depression. Based on these results, four groups were defined: acute depressed (
= 53), cognitively mildly impaired (
= 97), acute depressed, and cognitively mildly impaired (
= 15), and controls (
= 536). Participants underwent a 20 m walk and checking boxes task under single (ST) and DT conditions. ST and DT performance and dual task costs (DTC) were calculated. Due to the typical age of increasing incidence of depressive and also cognitive symptoms, the 7th decade was calculated separately.
ST speeds of gait and checking boxes, DT walking speed, and walking DTC were significantly different between groups. Healthy controls were the fastest in all paradigms and cognitively mildly impaired had higher DTC than depressed individuals. Additionally, we constructed a multivariate predictive model differentiating the groups on a single-subject level.
DT parameters are simply and comfortably measureable, and DTC can easily be determined. The combination of these parameters allows a differentiation of depressed and cognitively mildly impaired elderly adults.</description><identifier>ISSN: 1663-4365</identifier><identifier>EISSN: 1663-4365</identifier><identifier>DOI: 10.3389/fnagi.2016.00235</identifier><identifier>PMID: 27790136</identifier><language>eng</language><publisher>Switzerland: Frontiers Research Foundation</publisher><subject>Age ; Alzheimer's disease ; Brain research ; Cognition & reasoning ; Cognitive ability ; Consortia ; Dementia ; Dementia disorders ; Family medical history ; Gait ; Geriatrics ; Hospitals ; Mental depression ; Neurodegeneration ; Neurodegenerative diseases ; Neurology ; Neuroscience ; Older people ; Prediction models ; Psychiatry ; Psychotherapy ; Risk factors ; Systematic review ; Walking</subject><ispartof>Frontiers in aging neuroscience, 2016-10, Vol.8, p.235-235</ispartof><rights>2016. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Copyright © 2016 Metzger, Hobert, Ehlis, Hasmann, Hahn, Eschweiler, Berg, Fallgatter, Maetzler and the TREND Study team. 2016 Metzger, Hobert, Ehlis, Hasmann, Hahn, Eschweiler, Berg, Fallgatter, Maetzler and the TREND Study team</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3395-b4ecf39e8ee9a9e47077cfa5d706d1cdcaa7782a3a7a7e64bbb4cc606b7e3edc3</citedby><cites>FETCH-LOGICAL-c3395-b4ecf39e8ee9a9e47077cfa5d706d1cdcaa7782a3a7a7e64bbb4cc606b7e3edc3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5062919/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5062919/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,27903,27904,53769,53771</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27790136$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Metzger, Florian G</creatorcontrib><creatorcontrib>Hobert, Markus A</creatorcontrib><creatorcontrib>Ehlis, Ann-Christine</creatorcontrib><creatorcontrib>Hasmann, Sandra E</creatorcontrib><creatorcontrib>Hahn, Tim</creatorcontrib><creatorcontrib>Eschweiler, Gerhard W</creatorcontrib><creatorcontrib>Berg, Daniela</creatorcontrib><creatorcontrib>Fallgatter, Andreas J</creatorcontrib><creatorcontrib>Maetzler, Walter</creatorcontrib><creatorcontrib>TREND Study team</creatorcontrib><creatorcontrib>the TREND Study team</creatorcontrib><title>Dual Tasking for the Differentiation between Depression and Mild Cognitive Impairment</title><title>Frontiers in aging neuroscience</title><addtitle>Front Aging Neurosci</addtitle><description>Differentiation of mild cognitive impairment from depression in elderly adults is a clinically relevant issue which is not sufficiently solved. Gait and dual task (DT) parameters may have the potential to complement current diagnostic work-up, as both dementia and depression are associated with changes of gait and DT parameters.
Seven hundred and four participants of the TREND study (Tübinger evaluation of Risk factors for Early detection of NeuroDegeneration) aged 50-80 years were assessed using the Consortium to Establish a Registry for Alzheimer's Disease Plus test battery for testing cognition and Beck's Depression Inventory for evaluation of depression. Based on these results, four groups were defined: acute depressed (
= 53), cognitively mildly impaired (
= 97), acute depressed, and cognitively mildly impaired (
= 15), and controls (
= 536). Participants underwent a 20 m walk and checking boxes task under single (ST) and DT conditions. ST and DT performance and dual task costs (DTC) were calculated. Due to the typical age of increasing incidence of depressive and also cognitive symptoms, the 7th decade was calculated separately.
ST speeds of gait and checking boxes, DT walking speed, and walking DTC were significantly different between groups. Healthy controls were the fastest in all paradigms and cognitively mildly impaired had higher DTC than depressed individuals. Additionally, we constructed a multivariate predictive model differentiating the groups on a single-subject level.
DT parameters are simply and comfortably measureable, and DTC can easily be determined. The combination of these parameters allows a differentiation of depressed and cognitively mildly impaired elderly adults.</description><subject>Age</subject><subject>Alzheimer's disease</subject><subject>Brain research</subject><subject>Cognition & reasoning</subject><subject>Cognitive ability</subject><subject>Consortia</subject><subject>Dementia</subject><subject>Dementia disorders</subject><subject>Family medical history</subject><subject>Gait</subject><subject>Geriatrics</subject><subject>Hospitals</subject><subject>Mental depression</subject><subject>Neurodegeneration</subject><subject>Neurodegenerative diseases</subject><subject>Neurology</subject><subject>Neuroscience</subject><subject>Older people</subject><subject>Prediction models</subject><subject>Psychiatry</subject><subject>Psychotherapy</subject><subject>Risk factors</subject><subject>Systematic review</subject><subject>Walking</subject><issn>1663-4365</issn><issn>1663-4365</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNpdkUFv1DAQhS0EolXpnROyxIXLLnYmtpMLEtqlpVIRl_ZsTZzJ1iWxFzsp4t_jbUtV8MXW-L03M_oYeyvFGqBpPw4Bd35dCanXQlSgXrBjqTWsatDq5bP3ETvN-VaUAyCEal6zo8qYVkjQx-x6u-DIrzD_8GHHh5j4fEN864eBEoXZ4-xj4B3Nv4gC39I-Uc6HEoaef_NjzzdxF_zs74hfTHv0aSq2N-zVgGOm08f7hF2ffbnafF1dfj-_2Hy-XDmAVq26mtwALTVELbZUG2GMG1D1Ruheut4hGtNUCGjQkK67rqud00J3hoB6Byfs00PufummUiitE452n_yE6beN6O2_P8Hf2F28s0roqpVtCfjwGJDiz4XybCefHY0jBopLtrIBpSpllCjS9_9Jb-OSQlnPViBkbZpay6ISDyqXYs6JhqdhpLAHbPYemz1gs_fYiuXd8yWeDH8hwR9PFZYJ</recordid><startdate>20161013</startdate><enddate>20161013</enddate><creator>Metzger, Florian G</creator><creator>Hobert, Markus A</creator><creator>Ehlis, Ann-Christine</creator><creator>Hasmann, Sandra E</creator><creator>Hahn, Tim</creator><creator>Eschweiler, Gerhard W</creator><creator>Berg, Daniela</creator><creator>Fallgatter, Andreas J</creator><creator>Maetzler, Walter</creator><general>Frontiers Research Foundation</general><general>Frontiers Media S.A</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M2P</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20161013</creationdate><title>Dual Tasking for the Differentiation between Depression and Mild Cognitive Impairment</title><author>Metzger, Florian G ; 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Gait and dual task (DT) parameters may have the potential to complement current diagnostic work-up, as both dementia and depression are associated with changes of gait and DT parameters.
Seven hundred and four participants of the TREND study (Tübinger evaluation of Risk factors for Early detection of NeuroDegeneration) aged 50-80 years were assessed using the Consortium to Establish a Registry for Alzheimer's Disease Plus test battery for testing cognition and Beck's Depression Inventory for evaluation of depression. Based on these results, four groups were defined: acute depressed (
= 53), cognitively mildly impaired (
= 97), acute depressed, and cognitively mildly impaired (
= 15), and controls (
= 536). Participants underwent a 20 m walk and checking boxes task under single (ST) and DT conditions. ST and DT performance and dual task costs (DTC) were calculated. Due to the typical age of increasing incidence of depressive and also cognitive symptoms, the 7th decade was calculated separately.
ST speeds of gait and checking boxes, DT walking speed, and walking DTC were significantly different between groups. Healthy controls were the fastest in all paradigms and cognitively mildly impaired had higher DTC than depressed individuals. Additionally, we constructed a multivariate predictive model differentiating the groups on a single-subject level.
DT parameters are simply and comfortably measureable, and DTC can easily be determined. The combination of these parameters allows a differentiation of depressed and cognitively mildly impaired elderly adults.</abstract><cop>Switzerland</cop><pub>Frontiers Research Foundation</pub><pmid>27790136</pmid><doi>10.3389/fnagi.2016.00235</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Age Alzheimer's disease Brain research Cognition & reasoning Cognitive ability Consortia Dementia Dementia disorders Family medical history Gait Geriatrics Hospitals Mental depression Neurodegeneration Neurodegenerative diseases Neurology Neuroscience Older people Prediction models Psychiatry Psychotherapy Risk factors Systematic review Walking |
title | Dual Tasking for the Differentiation between Depression and Mild Cognitive Impairment |
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