Artikel ; Online: Processing speed predicts SuperAging years later.
2023 Band 11, Heft 1, Seite(n) 34
Abstract: 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) ... ...
Abstract | 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. |
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Mesh-Begriff(e) | Female ; Humans ; Neuropsychological Tests ; Processing Speed ; Cognition Disorders/psychology ; Executive Function ; Stroop Test ; Cognition |
Sprache | Englisch |
Erscheinungsdatum | 2023-02-02 |
Erscheinungsland | England |
Dokumenttyp | Journal Article |
ZDB-ID | 2705921-2 |
ISSN | 2050-7283 ; 2050-7283 |
ISSN (online) | 2050-7283 |
ISSN | 2050-7283 |
DOI | 10.1186/s40359-023-01069-7 |
Datenquelle | MEDical Literature Analysis and Retrieval System OnLINE |
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