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Profiles of cognitive functioning in a population-based sample of centenarians using factor mixture analysis.
Adam Davey1, Ting Dai, John L Woodard
1Department of Public Health, Temple University, Philadelphia, Pennsylvania 19122, USA. adavey@temple.edu
Experimental Aging Research
|February 21, 2013
Summary
This study identified two cognitive performance groups in centenarians, with one-third showing significantly lower cognitive function. These cognitive profiles help estimate normative cognitive performance in the oldest age groups.
Area of Science:
- Gerontology and Cognitive Neuroscience
- Population Health Studies
Background:
- Centenarians represent a unique population for understanding cognitive aging.
- Identifying distinct cognitive profiles is crucial for assessing cognitive health in extreme longevity.
Purpose of the Study:
- To identify latent profiles of cognitive functioning in centenarians.
- To characterize the psychometric properties of cognitive measures within these profiles.
- To establish normative cognitive performance estimates for this age group.
Main Methods:
- Cross-sectional, population-based study of 244 centenarians (aged 98-108).
- Utilized multiple cognitive assessments including MMSE, SIB, WAIS, and memory evaluations.
- Factor mixture analysis was employed to identify distinct cognitive performance classes.
Main Results:
- Two distinct cognitive performance classes were identified in centenarians.
- Approximately one-third exhibited markedly lower cognitive performance across most measures.
- Global Deterioration Rating Scale (GDRS) scores effectively predicted group membership (AUC = .83).
Conclusions:
- Latent subtypes of cognitive functioning can be distinguished in centenarians using factor mixture analysis.
- These subtypes offer normative values for cognitive performance in extreme longevity.
- Understanding these profiles is vital for dementia prevalence research in the oldest populations.
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