Understanding heterogeneity in older adults: Latent growth curve modeling of cognitive functioning
Rebecca K MacAulay1, Matthew R Calamia2, Alex S Cohen2
1a Department of Psychology , University of Maine , Orono , ME , USA.
Background:
Clarifying relationships between specific neurocognitive functions in cognitively intact older adults can improve our understanding of mechanisms involved in cognitive decline, which may allow identification of new opportunities for intervention and earlier detection of those at increased risk of dementia.
Method:
The present study employed latent growth curve modeling to longitudinally examine the relationship between executive attention/processing speed, episodic memory, language, and working memory functioning utilizing the neuropsychological test battery from the National Alzheimer's Disease Coordinating Center. A total of 691 relatively healthy older adults (Mage = 69.07, SD = 6.49) were assessed at baseline, and 553 individuals completed three visits spanning a two-year period.
Results:
Better cognitive performance was concomitantly associated with better functioning across domains. Subtle declines in executive attention/processing speed processes were found, while, on average, memory and language performance improved with repeated testing. Lower executive attention/processing speed performance at baseline predicted less incremental growth rate in memory. In turn, higher initial memory functioning was associated with incremental improvements in language performance.
Conclusions:
These results are consistent with the notion that intact executive function and attention processes are important to preserving memory functioning with advanced age, but are also the functions most susceptible to decline with age. These findings also provide further insight into the critical role of practice effects in clinical assessment practice and have implications for pharmaceutical trials. Practice effects should be routinely considered as they may give the appearance of retention of function within the cognitive domains considered to be a hallmark of Alzheimer's disease pathology.
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