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An assessment of neurocognitive speed in relation to frailty
to evaluate the relationship between neurocognitive speed (NCS) and frailty; to consider how this relationship is affected by how frailty is operationalised. secondary analysis of the baseline cohort of the Oxford Project To Investigate Memory and Aging (OPTIMA), a longitudinal observational cohort....
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| Published in: | Age and ageing 2013-03, Vol.42 (2), p.191-196 |
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| Main Authors: | , , , , , , , |
| Format: | Article |
| Language: | English |
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| cited_by | cdi_FETCH-LOGICAL-c464t-dc6158b09fa32378395ac73c104746baa9d43e908966255799cbabbb4c41896a3 |
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| cites | cdi_FETCH-LOGICAL-c464t-dc6158b09fa32378395ac73c104746baa9d43e908966255799cbabbb4c41896a3 |
| container_end_page | 196 |
| container_issue | 2 |
| container_start_page | 191 |
| container_title | Age and ageing |
| container_volume | 42 |
| creator | Rolfson, Darryl B Wilcock, Gordon Mitnitski, Arnold King, Elizabeth de Jager, Celeste A Rockwood, Kenneth Fallah, Nader Searle, Samuel D |
| description | to evaluate the relationship between neurocognitive speed (NCS) and frailty; to consider how this relationship is affected by how frailty is operationalised.
secondary analysis of the baseline cohort of the Oxford Project To Investigate Memory and Aging (OPTIMA), a longitudinal observational cohort.
of 388 participants who underwent a comprehensive intake assessment followed by an annual follow-up for at least 3 years, data on all measures were available on 164 people.
NCS was defined as a combined score of |
| doi_str_mv | 10.1093/ageing/afs185 |
| format | article |
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secondary analysis of the baseline cohort of the Oxford Project To Investigate Memory and Aging (OPTIMA), a longitudinal observational cohort.
of 388 participants who underwent a comprehensive intake assessment followed by an annual follow-up for at least 3 years, data on all measures were available on 164 people.
NCS was defined as a combined score of <18 on the pattern comparison test (<11 is abnormal) and letter comparison test (<7 is abnormal). Frailty was defined from a modified Phenotype model, the Edmonton Frailty Scales (EFS) and a frailty index (FI); the latter two were adapted here to exclude cognitive measures.
in multivariate logistic (NCS as < or ≥18) and linear regression (NCS as continuous variable), only the FI (OR = 0.87) was significant (P < 0.05). When all frailty measures were included in the multivariate analysis only, FI (OR = 0.88) was significant (P < 0.05). Mini-mental Status Examination remained significantly related to NCS throughout all analysis.
NCS slows with increasing frailty as shown with the FI.]]></description><identifier>ISSN: 0002-0729</identifier><identifier>EISSN: 1468-2834</identifier><identifier>DOI: 10.1093/ageing/afs185</identifier><identifier>PMID: 23296141</identifier><identifier>CODEN: AANGAH</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Age Factors ; Aged ; Aged, 80 and over ; Ageing ; Aging - psychology ; Assessment ; Cognition ; Cognitive ability ; England ; Female ; Frail elderly ; Frail Elderly - psychology ; Frailty ; Geriatric Assessment - methods ; Health aspects ; Humans ; Linear Models ; Logistic Models ; Longitudinal Studies ; Male ; Measurement ; Memory ; Multivariate Analysis ; Neuropsychological Tests ; Odds Ratio ; Older people ; Phenotypes ; Psychological aspects ; Psychomotor performance ; Time Factors</subject><ispartof>Age and ageing, 2013-03, Vol.42 (2), p.191-196</ispartof><rights>Copyright Oxford Publishing Limited(England) Mar 2013</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c464t-dc6158b09fa32378395ac73c104746baa9d43e908966255799cbabbb4c41896a3</citedby><cites>FETCH-LOGICAL-c464t-dc6158b09fa32378395ac73c104746baa9d43e908966255799cbabbb4c41896a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27922,27923,30997,30998</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23296141$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Rolfson, Darryl B</creatorcontrib><creatorcontrib>Wilcock, Gordon</creatorcontrib><creatorcontrib>Mitnitski, Arnold</creatorcontrib><creatorcontrib>King, Elizabeth</creatorcontrib><creatorcontrib>de Jager, Celeste A</creatorcontrib><creatorcontrib>Rockwood, Kenneth</creatorcontrib><creatorcontrib>Fallah, Nader</creatorcontrib><creatorcontrib>Searle, Samuel D</creatorcontrib><title>An assessment of neurocognitive speed in relation to frailty</title><title>Age and ageing</title><addtitle>Age Ageing</addtitle><description><![CDATA[to evaluate the relationship between neurocognitive speed (NCS) and frailty; to consider how this relationship is affected by how frailty is operationalised.
secondary analysis of the baseline cohort of the Oxford Project To Investigate Memory and Aging (OPTIMA), a longitudinal observational cohort.
of 388 participants who underwent a comprehensive intake assessment followed by an annual follow-up for at least 3 years, data on all measures were available on 164 people.
NCS was defined as a combined score of <18 on the pattern comparison test (<11 is abnormal) and letter comparison test (<7 is abnormal). Frailty was defined from a modified Phenotype model, the Edmonton Frailty Scales (EFS) and a frailty index (FI); the latter two were adapted here to exclude cognitive measures.
in multivariate logistic (NCS as < or ≥18) and linear regression (NCS as continuous variable), only the FI (OR = 0.87) was significant (P < 0.05). When all frailty measures were included in the multivariate analysis only, FI (OR = 0.88) was significant (P < 0.05). Mini-mental Status Examination remained significantly related to NCS throughout all analysis.
NCS slows with increasing frailty as shown with the FI.]]></description><subject>Age Factors</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Ageing</subject><subject>Aging - psychology</subject><subject>Assessment</subject><subject>Cognition</subject><subject>Cognitive ability</subject><subject>England</subject><subject>Female</subject><subject>Frail elderly</subject><subject>Frail Elderly - psychology</subject><subject>Frailty</subject><subject>Geriatric Assessment - methods</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Linear Models</subject><subject>Logistic Models</subject><subject>Longitudinal Studies</subject><subject>Male</subject><subject>Measurement</subject><subject>Memory</subject><subject>Multivariate Analysis</subject><subject>Neuropsychological Tests</subject><subject>Odds Ratio</subject><subject>Older people</subject><subject>Phenotypes</subject><subject>Psychological aspects</subject><subject>Psychomotor performance</subject><subject>Time Factors</subject><issn>0002-0729</issn><issn>1468-2834</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>7QJ</sourceid><recordid>eNqF0c9LHDEUB_Aglrq1PXotA168TM3vH-BlWewPELzoOWSyb4bIbLImmaL_vSlrW_DiKbzw4fHe-yJ0RvA3gg27dBOEOF26sRAtjtCKcKl7qhk_RiuMMe2xouYEfSrloZVEEPoRnVBGjSScrNDVOnauFChlB7F2aewiLDn5NMVQw2_oyh5g24XYZZhdDSl2NXVjdmGuz5_Rh9HNBb68vqfo_vv13eZnf3P749dmfdN7Lnntt14SoQdsRscoU5oZ4bxinmCuuBycM1vOwGBtpKRCKGP84IZh4J6T9ufYKbo49N3n9LhAqXYXiod5dhHSUmzbxDDFqKTvUya5kopo_j6l2nClpTaNnr-hD2nJse3cGlImuOFSNtUf1ORmsCH6FCs8VZ_mGSaw7SSbW7tmnFEiqOD_vc-plAyj3eewc_nZEmz_hGsP4dpDuM1_fZ1iGXaw_af_psleABwzndw</recordid><startdate>201303</startdate><enddate>201303</enddate><creator>Rolfson, Darryl B</creator><creator>Wilcock, Gordon</creator><creator>Mitnitski, Arnold</creator><creator>King, Elizabeth</creator><creator>de Jager, Celeste A</creator><creator>Rockwood, Kenneth</creator><creator>Fallah, Nader</creator><creator>Searle, Samuel D</creator><general>Oxford University Press</general><general>Oxford Publishing Limited (England)</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>7QJ</scope><scope>7T5</scope><scope>7TK</scope><scope>7U9</scope><scope>H94</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope></search><sort><creationdate>201303</creationdate><title>An assessment of neurocognitive speed in relation to frailty</title><author>Rolfson, Darryl B ; Wilcock, Gordon ; Mitnitski, Arnold ; King, Elizabeth ; de Jager, Celeste A ; Rockwood, Kenneth ; Fallah, Nader ; Searle, Samuel D</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c464t-dc6158b09fa32378395ac73c104746baa9d43e908966255799cbabbb4c41896a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Age Factors</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Ageing</topic><topic>Aging - psychology</topic><topic>Assessment</topic><topic>Cognition</topic><topic>Cognitive ability</topic><topic>England</topic><topic>Female</topic><topic>Frail elderly</topic><topic>Frail Elderly - psychology</topic><topic>Frailty</topic><topic>Geriatric Assessment - methods</topic><topic>Health aspects</topic><topic>Humans</topic><topic>Linear Models</topic><topic>Logistic Models</topic><topic>Longitudinal Studies</topic><topic>Male</topic><topic>Measurement</topic><topic>Memory</topic><topic>Multivariate Analysis</topic><topic>Neuropsychological Tests</topic><topic>Odds Ratio</topic><topic>Older people</topic><topic>Phenotypes</topic><topic>Psychological aspects</topic><topic>Psychomotor performance</topic><topic>Time Factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rolfson, Darryl B</creatorcontrib><creatorcontrib>Wilcock, Gordon</creatorcontrib><creatorcontrib>Mitnitski, Arnold</creatorcontrib><creatorcontrib>King, Elizabeth</creatorcontrib><creatorcontrib>de Jager, Celeste A</creatorcontrib><creatorcontrib>Rockwood, Kenneth</creatorcontrib><creatorcontrib>Fallah, Nader</creatorcontrib><creatorcontrib>Searle, Samuel D</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>Immunology Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Age and ageing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rolfson, Darryl B</au><au>Wilcock, Gordon</au><au>Mitnitski, Arnold</au><au>King, Elizabeth</au><au>de Jager, Celeste A</au><au>Rockwood, Kenneth</au><au>Fallah, Nader</au><au>Searle, Samuel D</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An assessment of neurocognitive speed in relation to frailty</atitle><jtitle>Age and ageing</jtitle><addtitle>Age Ageing</addtitle><date>2013-03</date><risdate>2013</risdate><volume>42</volume><issue>2</issue><spage>191</spage><epage>196</epage><pages>191-196</pages><issn>0002-0729</issn><eissn>1468-2834</eissn><coden>AANGAH</coden><abstract><![CDATA[to evaluate the relationship between neurocognitive speed (NCS) and frailty; to consider how this relationship is affected by how frailty is operationalised.
secondary analysis of the baseline cohort of the Oxford Project To Investigate Memory and Aging (OPTIMA), a longitudinal observational cohort.
of 388 participants who underwent a comprehensive intake assessment followed by an annual follow-up for at least 3 years, data on all measures were available on 164 people.
NCS was defined as a combined score of <18 on the pattern comparison test (<11 is abnormal) and letter comparison test (<7 is abnormal). Frailty was defined from a modified Phenotype model, the Edmonton Frailty Scales (EFS) and a frailty index (FI); the latter two were adapted here to exclude cognitive measures.
in multivariate logistic (NCS as < or ≥18) and linear regression (NCS as continuous variable), only the FI (OR = 0.87) was significant (P < 0.05). When all frailty measures were included in the multivariate analysis only, FI (OR = 0.88) was significant (P < 0.05). Mini-mental Status Examination remained significantly related to NCS throughout all analysis.
NCS slows with increasing frailty as shown with the FI.]]></abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>23296141</pmid><doi>10.1093/ageing/afs185</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | Age and ageing, 2013-03, Vol.42 (2), p.191-196 |
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| language | eng |
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| source | Applied Social Sciences Index & Abstracts (ASSIA); Oxford Journals Online |
| subjects | Age Factors Aged Aged, 80 and over Ageing Aging - psychology Assessment Cognition Cognitive ability England Female Frail elderly Frail Elderly - psychology Frailty Geriatric Assessment - methods Health aspects Humans Linear Models Logistic Models Longitudinal Studies Male Measurement Memory Multivariate Analysis Neuropsychological Tests Odds Ratio Older people Phenotypes Psychological aspects Psychomotor performance Time Factors |
| title | An assessment of neurocognitive speed in relation to frailty |
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