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Processing speed predicts SuperAging years later
Z. Ticha, H. Georgi, B. Schmand, R. Heissler, M. Kopecek
Language English Country England, Great Britain
Document type Journal Article
NLK
BioMedCentral
from 2013-12-01
BioMedCentral Open Access
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Directory of Open Access Journals
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Free Medical Journals
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PubMed Central
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Europe PubMed Central
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ProQuest Central
from 2015-01-01
Open Access Digital Library
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Open Access Digital Library
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Health & Medicine (ProQuest)
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Psychology Database (ProQuest)
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- MeSH
- Executive Function MeSH
- Cognition MeSH
- Cognition Disorders * psychology MeSH
- Humans MeSH
- Neuropsychological Tests MeSH
- Processing Speed * MeSH
- Stroop Test MeSH
- Check Tag
- Humans MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
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.
Department of Psychology University of Amsterdam Amsterdam The Netherlands
National Institute of Mental Health Klecany Czech Republic
Prague College of Psychosocial Studies Hekrova 805 149 00 Prague 11 Háje Czech Republic
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