| Poster | Poster Session 02 Program Schedule
02/15/2024
08:00 am - 09:15 am
Room: Shubert Complex (Posters 1-60)
Poster Session 02: Aging | MCI | Neurodegenerative Disease - PART 1
Final Abstract #58
Contribution of Depression and Sleep in Memory Functioning among Patients Diagnosed with Alzheimer's Disease Dementia, Lewy Body Dementia, and Parkinson's Disease
Stacey Lipio Brothers, Ohio State University, Columbus, United States
Kara Wozniak, Ohio State University, Columbus, United States
Kristina Rawson, Ohio State University, Columbus, United States
Douglas Scharre, Ohio State University, Columbus, United States
Christopher Nguyen, Ohio State University, Columbus, United States
Category: Dementia (Non-AD)
Keyword 1: dementia with Lewy bodies
Keyword 2: depression
Keyword 3: dementia - Alzheimer's disease
Objective:
Alzheimer’s disease (AD), Lewy body dementia (LBD), and Parkinson’s disease (PD) can be challenging to differentiate, particularly in the early stages. Often, neuropsychologists use memory profiles to aid in differentiation (Crowell et al., 2007), as well as behavioral data, such as sleep difficulties (Boddy et al., 2007; Yakovleva et al., 2020). Further complicating the picture are older adults who present with “pseudodementia,” or cognitive impairment due to factors such as depression or daytime sleepiness, that can produce memory profiles like individuals in the early stages of a neurodegenerative condition (Marawi et al., 2023; Ohayon & Vecchierini, 2002). Being able to successfully differentiate between cognitive impairment due a neurodegenerative condition versus due to modifiable risk factors can provide more accurate information to patients about their likely disease trajectory and treatment options.
Participants and Methods:
Participants were 27 individuals with LBD (Mage = 72.07(8.35); 89.7% non-Hispanic White, 10.3% unknown), 19 with AD (Mage = 67.89(8.62); 100% non-Hispanic White), and 16 with PD (Mage = 70.13(4.26); 94.1% non-Hispanic White, 5.9% unknown), enrolled in a study at the Memory Disorders and Movement Disorders Clinics at OSU Medical Center. Participants completed a physical evaluation, polysomnography, and neuroimaging as part of the study. Participants also completed the Epworth Sleepiness Scale (ESS) and the Beck Depression Inventory (BDI). A subset of participants (n = 34; Mage = 68.15(7.40), Range = 47-80; DLB n = 12, AD n = 9, PD n = 12) completed neuropsychological testing, including the Wechsler Memory Scale 4th Edition - Logical Memory Subscale (WMS-LM).
Results:
Pearson’s correlations found that diagnosis was not significantly related to daytime sleepiness (r = -.059, p = .645) or depression (r = -.102, p = .428), while depression and daytime sleepiness were significantly associated (r = .472, p < .001). Both daytime sleepiness and depression were associated with the percent of material retained from short stories (r = .343, p = .047; r = .348, p = .044, respectively), while depression was also associated with the amount of material initially learned (r = .344, p = .046) and later recognized (r = .357, p = .038). Diagnosis was not associated with these memory variables (p > .05).
Conclusions:
Different memory profiles are often used to differentiate between types of neurodegenerative conditions. The present results demonstrate that factors such as depression and daytime sleepiness may be more impactful for verbal learning and memory than diagnosis type. These findings demonstrate the importance of treating depressive symptoms and daytime sleepiness in older adults, and the implications such symptoms can have on diagnosis.
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