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Processing speed predicts SuperAging years later

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47122099%3A_____%2F23%3AN0000009" target="_blank" >RIV/47122099:_____/23:N0000009 - isvavai.cz</a>

  • Alternative codes found

    RIV/00023752:_____/23:43921062 RIV/00216208:11120/23:43925113

  • Result on the web

    <a href="https://bmcpsychology.biomedcentral.com/articles/10.1186/s40359-023-01069-7" target="_blank" >https://bmcpsychology.biomedcentral.com/articles/10.1186/s40359-023-01069-7</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1186/s40359-023-01069-7" target="_blank" >10.1186/s40359-023-01069-7</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Processing speed predicts SuperAging years later

  • Original language description

    Background SuperAging is one of the current concepts related to elite, resilient or high-functioning cognitive aging. The main aim of our study was to find possible predictors of SuperAgers (SA). Methods Community-dwelling older persons (N = 96) aged 80–101 years in 2018 were repeatedly tested (year 2012 and 2018). SA were defined based on their performance in 2018 as persons of 80+ years of age who recalled ≥ 9 words in the delayed recall of the Philadelphia Verbal Learning Test, and had a normal performance in non-memory tasks [the Boston Naming Test, the Trail Making Test Part B, and Category Fluency (“Animals”)], which was defined as a score within or above one standard deviation from the age and education appropriate average. Three composite scores (CS; immediate memory, processing speed, and executive functions) were created from the performance in 2012, and analysed as possible predictors of SA status in 2018. Results We identified 19 SA (15 females) and 77 nonSA (42 females), groups did not significantly differ in age, years of education, and sex. The logistic regression model (p = 0.028) revealed three predictors of SA from the baseline (year 2012), including processing speed (p = 0.006; CS-speed: the Prague Stroop Test—Dots and the Digit Symbol Substitution Test), sex (p = 0.015), and age (p = 0.045). Conclusions Thus, SA may be predicted based on the level of processing speed, which supports the hypothesis of the processing speed theory of healthy aging.

  • 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

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

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

Others

  • Publication year

    2023

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    BMC Psychology

  • ISSN

    2050-7283

  • e-ISSN

    2050-7283

  • Volume of the periodical

    11

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    8

  • Pages from-to

  • UT code for WoS article

    000926929600001

  • EID of the result in the Scopus database

    2-s2.0-85147319691