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Long-term cognitive trajectory and activities of daily living in healthy aging

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023752%3A_____%2F21%3A43920229" target="_blank" >RIV/00023752:_____/21:43920229 - isvavai.cz</a>

  • Alternative codes found

    RIV/67985807:_____/21:00523887 RIV/00216208:11120/21:43920087 RIV/00023884:_____/21:00009225 RIV/00216208:11110/21:10410634 RIV/00064165:_____/21:10410634

  • Result on the web

    <a href="https://www.tandfonline.com/doi/full/10.1080/13854046.2020.1745895" target="_blank" >https://www.tandfonline.com/doi/full/10.1080/13854046.2020.1745895</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1080/13854046.2020.1745895" target="_blank" >10.1080/13854046.2020.1745895</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Long-term cognitive trajectory and activities of daily living in healthy aging

  • Original language description

    Objective: The purpose of the present study was to investigate if participants in NANOK study (National Normative Study of Cognitive Determinants of Healthy Ageing) who show no cognitive decline throughout five years (successful healthy agers; SHA) will show less age-related differences in instrumental activities of daily living (IADL) based on Functional Activities Questionnaire in comparison to participants who show subtle cognitive decline (Decliners) over time. Method: We used two different classifications of SHA: Rogalski (N = 25 SHA and N = 15 Decliners) based on cross-sectional neuropsychology measures and linear mixed model (LMEM; 20 SHA and 20 Decliners) based on the Montreal Cognitive Assessment longitudinal 5-years follow-up. Whole-brain T1- and T2-weighted images were corrected for distortions and segmented using Freesurfer. Whole-brain volumetry was performed using FSL’s voxel-based morphometry tool. Results: The cognitive decline after four years follow-up but not age predicts subtle impairment in IADL in healthy ageing participants. We found brain volumetric differences between SHA and Decliners based on Rogalski but not LMEM classification especially in bilateral insular cortices and ventrolateral frontal cortex. The logistic regression model achieved an accuracy of 75% for the Rogalski in comparison to 67.5% for the LMEM classification. Conclusions: Slight restrictions in IADL seem to be a useful tool for screening healthy ageing participants at risk of developing subtle cognitive decline over a period of five years and the cross-sectional Rogalski criteria based on standardized neuropsychological measures were superior for tapping age-related brain changes to longitudinal LMEM classification based on screening (Montreal Cognitive Assessment).

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50101 - Psychology (including human - machine relations)

Result continuities

  • Project

    <a href="/en/project/GA16-01781S" target="_blank" >GA16-01781S: Cognitive predictors of neurodegeneration</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Clinical Neuropsychologist

  • ISSN

    1385-4046

  • e-ISSN

  • Volume of the periodical

    35

  • Issue of the periodical within the volume

    8

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    17

  • Pages from-to

    1381-1397

  • UT code for WoS article

    000527258000001

  • EID of the result in the Scopus database

    2-s2.0-85083634600