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Verbal Learning and Everyday Functioning in Dementia: An Application of Latent Variable Growth Curve Modeling

¹ Psychological and Brain Sciences, University of Louisville, Kentucky.
² Department of Psychology, North Carolina State University, Raleigh.

Address correspondence to Benjamin T. Mast, PhD, Psychological and Brain Sciences, University of Louisville, 317 Life Sciences Building, Louisville, KY 40292. E-mail: b.mast{at}louisville.edu

This study used latent variable growth curve modeling to identify predictors and correlates of verbal learning over trials on a list-learning task in patients with dementia. Data from 116 patients evaluated at the Detroit satellite of the Michigan Alzheimer's Disease Research Center were incorporated in the present analyses. Patients were administered the Fuld Object Memory Evaluation, examined independently by a geriatrician, and, if appropriate, given a diagnosis of probable Alzheimer's disease according to criteria from the National Institute of Neurological and Communicative Disorders and Stroke/Alzheimer's Disease and Related Disorders Association. The presence of dementia significantly predicted both the intercept (i.e., level of performance) and the slope (i.e., learning over trials), with dementia patients demonstrating lower overall levels of performance and less verbal learning over trials. Rate of verbal learning over trials was a significant predictor of everyday functioning (instrumental activities of daily living) above and beyond general cognitive impairment and demographics.