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Objective: Subjective Cognitive Decline (SCD) is the self-reported experience of one's own declining cognition prior to objective impairment on clinical neuropsychological testing. While SCD is a promising marker of preclinical Alzheimer's disease (AD), information is needed to determine which cognitive complaints reflect typical aging versus prodromal degenerative disease. The objective of the current study was to examine the extent to which specific cognitive complaints were associated with two clinical outcomes including: 1) lower performance on cognitive tasks sensitive to preclinical AD; and 2) seeking help (i.e., medical attention) for cognitive difficulties. Participants and Methods: The current sample consisted of 175 healthy older adults (56 Male, 119 Female), aged 51 to 90 (M=72.67, SD=7.12) with a mean education of 16 years (SD=2.3 years) who performed > -1.5 SD on clinical neuropsychological testing. 26.8% of the sample self-reported as race/ethnic minorities (e.g., Hispanic or Non-Hispanic, Black, Asian, Other.) Participants completed a 20-item SCD questionnaire assessing perceived cognitive difficulties in comparison to same aged peers, and tests shown to be sensitive to preclinical AD including the Face Name Associative Learning Test and the Loewenstein-Acevedo Scales for Semantic Interference and Learning. Participants were coded as having sought help for SCD (39%) if they entered the current study from a clinical referral source, OR if they entered through a non-clinical referral stream but indicated that they had previously seen a doctor specifically for memory concerns or spoken to their doctor about memory concerns. Chi square tests were used to examine relationships between SCD item endorsement and help-seeking; ANOVAs were used to the extent to which item endorsement was associated with performance on cognitive tests. Results were considered significant at p <.05. Results: Three SCD items were associated with both lower cognitive test scores and having sought help for SCD (p values ranged from <.001 to.02). Items included difficulty remembering the date or day of the week and remembering a few shopping items without a list. One non-memory item was also associated with both outcomes including difficulty thinking ahead. In contrast, six items were not related to either outcome of interest. Such items included difficulty remembering appointments, remembering where you put things like keys, following a map to a new location, doing two things at once, understanding what you read, or understanding what people say to you. The remaining eleven items explore the extent to which selective associations exist with either help-seeking or cognitive performance. Conclusions: Patients and clinicians alike are often unsure about which cognitive difficulties are typical for aging and which may be the cause for further workup. Current results suggest that certain complaints among cognitively healthy older adults may be cause for more thorough evaluation or monitoring. These complaints include specific memory and nonmemory concerns. Future work is needed to determine if these complaints predict future cognitive decline or conversion to Mild Cognitive Impairment. [ABSTRACT FROM AUTHOR]

Objective: An individual with dementia suffers from cognitive decline affecting not only memory but at least one of the other domains, such as personality, praxis, abstract thought, language, executive functioning, attention, and social skills. Further, the severity of the decline must be significant enough to interfere with daily functions. It is currently unknown whether any of the causes of dementia can be cured. Many challenges confront patients and their families, including a lack of knowledge about dementia and associated treatments; therefore, it is essential to study illness perception regarding dementia-related symptoms in order to improve psychoeducation and lower barriers to seeking assistance. How individuals perceive and make sense of early dementia symptoms can significantly impact their help-seeking behaviors (HS). Exploring illness-perception regarding dementia-related symptoms may contribute to the development of strategies for increasing HS, early diagnosis, and intervention. The objective of this study is to describe aspects of illness perception in cognitively healthy older adults and examine potential correlations with demographic variables, including age, gender, and education. Participants and Methods: The cohort comprised 55 cognitively healthy older adults enrolled in a study examining Subjective Cognitive Decline. All participants performed > -1.5 SD on clinical neuropsychological testing. Participants were 70% female and 30% male; and self-identified as White = 78%, Black = 16%, Asian = 2%, Other = 4% and Non-Hispanic = 98%. Participants read a short vignette describing a person experiencing significant memory issues representative of an individual with mild dementia and answered seven follow-up questions regarding the cause of memory problems, the likely course of memory problems, and potential treatments for memory problems. Chi-square analyses examined the endorsement of items in relation to age, gender, and education. Results: When asked about the likely cause of memory problems, 65% of participants endorsed neurologic disease, 53% of participants endorsed normal aging, 26% endorsed stress, 25% endorsed genes, 4% endorsed fate/luck, and 16% endorsed "Don't know" for likely cause of symptoms. 64% of participants responded "will get worse", 18% "will go up and down", 16% "Don't know", and 2% "Other" in response to the progression of memory problems over time. For "Can he do anything to help [memory problems]?", only 2% responded "No" while 76% responded "Yes" and 22% endorsed "Don't know". On a follow-up question regarding ways an individual could improve his cognitive difficulties, 78% "Social Engagement", 73% "Exercise", 64% endorsed "Medication", 48% "Diet", 42% Psychological Treatment", 29% "Rehabilitation", 9%" Don't know" and 15% "Other." Lastly, 58% of participants reported "Independence", 33% "Identity," 4% "Friends," 4% "Respect," and 1% "Don't know" for things he may risk losing due to memory problems. Age, gender, and education were not associated with any of the above responses (p >.05). Conclusions: Older adults demonstrate a range of ideas about the cause, course, and potential treatment for memory disorders. Understanding how and what factors impact illness perception is a pivotal step in improving illness perception and ultimately narrowing the gap in health disparities and HS. Further work in a large demographically representative sample is needed on illness perception and how socioeconomic factors, ethnicity, and other mediators interact with its impact on HS for dementia-related symptoms. [ABSTRACT FROM AUTHOR]

Objective: Cognitive tests requiring spoken responses, such as paragraph recall, are rich in cognitive-related information that is not captured using traditional scoring methods. This study aimed to determine if linguistic features embedded in spoken responses may differentiate between individuals who are and are not cognitively impaired. Participants and Methods: Participants in the Long Life Family Study completed a neuropsychological assessment which included the WMS-R Logical Memory I paragraph recall. For a subset of participants (N=709), test responses were digitally recorded and manually transcribed. We used Linguistic Inquiry Word Count, a text analysis program, to quantify word counts, grammatical features (e.g, prepositions, verb tenses), and the use of content words related to specific semantic categories (e.g., work-related, numbers) for immediate (IR) and delayed recall (DR). We used regression models with Generalized Estimating Equations adjusted by age, sex, education, and within-family correlation to select features associated with cognitive status (normal cognition [NC] versus cognitive impairment [CI]; Bonferroni-corrected threshold p<0.001). Next, we developed a "polyfeature score" (PFS) for both immediate and delayed recall, each calculated as a weighted sum of the selected linguistic features. We then built a logistic regression model to evaluate the predictive value of each PFS for identifying cognitively impaired individuals. In secondary analyses, we used regression models as above to identify features associated with mild cognitive impairment subtype (amnestic [aMCI] versus nonamnestic [naMCI]; threshold p<.05). Results: The sample included 599 participants with NC and 110 with CI (mean age = 72.3 ± 11.0 years, 54% female). The regression identified 8 linguistic features for IR and 7 for DR that significantly predicted cognitive status. Decreased use of content words related to work (e.g., employed, school, police) and biological processes (e.g., cook, cafeteria, eat) and the use of negations (e.g., no, not, can't) were predictive of cognitive impairment in both recall conditions. In contrast, the use of other content word categories were predictive of cognitive status in only one recall condition (IR: leisure, cognitive processes, space; DR: drives, number). The use of fewer prepositions in IR, more first-person pronouns in DR, and fewer words in the past tense in DR were each associated with cognitive impairment. Word count was not predictive of cognitive status. Both PFSs were highly associated with cognitive status (PFS_IR ß= 0.74, p< 0.001; PFS_DR ß= 0.86, p= 0.001) with high discriminative value (PFS_IR AUC= 0.93, sensitivity = 0.81, specificity= 0.91; PFS_DR AUC= 0.95, sensitivity= 0.77, specificity= 0.88). In the CI subset, linguistic features differed between those classified as aMCI (n= 24) and naMCI (n= 40). Two function word categories predicted aMCI in IR whereas decreased word count, two function word categories, and two content word categories predicted aMCI in DR (all p<.05) Conclusions: Linguistic features from paragraph recall provide high predictive value for classifying cognitive status increasing its potential as a cognitive screener in clinical settings. Additionally, each recall condition identified unique linguistic features associated with cognitive impairment which may aid differentiation of cognitive impairment subtypes and elucidate processes underlying deficits in learning and recall. [ABSTRACT FROM AUTHOR]

Objective: The current research framework recommends using biomarkers to further understand Alzheimer's disease (AD) pathogenesis, including other contributing factors like cerebrovascular disease. In longitudinal studies of people with neuropathological examination after death, baseline loneliness was associated with lower cognition, faster cognitive decline, and future AD risk, independent of AD pathology. Examination of memory impairment along with AD and cerebrovascular biomarkers, could aid risk reduction efforts earlier in the lifecourse and among populations with more exposure to loneliness. We hypothesized that loneliness is associated with amyloid, vascular, and neurodegeneration biomarkers; with worse memory; and that loneliness increases the susceptibility to biomarker-related memory impairment. Participants and Methods: A subset of cognitively unimpaired older adults with available amyloid PET, vascular MRI (white matter hyperintensity volume, WMH), structural MRI (cortical thickness in AD signature regions), neuropsychological testing (memory factor score), dichotomized loneliness data (one item from CES-D), and relevant medical data were drawn from the community-based Washington Heights-Inwood Columbia Aging Project (WHICAP; n=169; covariates included age=81±6 years; 63% women; 49/31/20% Non-Hispanic Black/Non-Hispanic White/Hispanic; education=13±4 years; 32% APOE-e4 carriers). General linear models in the overall sample and stratified by race and ethnicity tested the association between loneliness and AD and cerebrovascular biomarkers, loneliness and memory, and the interaction of loneliness and biomarkers on memory, adjusting for covariates. Results: Loneliness was endorsed in 18% of participants, marginally associated with older age (2.1 [-0.2, 4.4], p=0.08), was more likely in those with untreated diabetes (13/0.1% lonely/not lonely, p=0.001), associated with lower cortical thickness (-0.05 [-0.09, -0.02], p=0.01), and associated with lower memory (0.3 [-0.6, -0.001], p=0.05). In Non-Hispanic White participants, loneliness was associated with greater WMH volume (0.5 [0.07, 0.82], p=0.03), while in Hispanic participants, loneliness was associated with lower cortical thickness (-0.16 [-0.24, -0.08], p=0.0006). In Non-Hispanic Black participants, loneliness was associated with lower memory (-13 [-26, -0.5], p=0.05), and the association between lower cortical thickness and lower memory was stronger in those that endorse loneliness (5 [0.2, 10], p=0.05). In Hispanic participants, loneliness was associated with higher memory (13 [4, 22], p=0.009), but the association between higher amyloid burden and lower memory was stronger in those that endorse loneliness (-12 [-20, -4], p=0.006); further, loneliness was marginally associated with lower memory (-0.7 [-1.4, 0.1], p=0.09), independently of WMH. Conclusions: Associations between loneliness and biomarkers may relate to health seeking behavior, reported as treatment status for diabetes, for cerebrovascular burden and general neurodegeneration, but might be more complex for amyloid. The degree to which loneliness increased the susceptibility to amyloid and neurodegeneration-related, but not cerebrovascular-related, memory impairment, specifically, may suggest that domains beyond memory should be considered. Future work should be longitudinal to disentangle the effects of loneliness from related constructs like depression and anxiety, incorporate other AD biomarkers such as hyperphosphorylated tau, and incorporate biological mechanisms (e.g., stress, inflammation) into models of loneliness and AD pathogenesis. Older adults from all backgrounds may be more susceptible to loneliness, which was associated with lower memory; culturally-humble, social support-based interventions may reduce the risk of cognitive impairment. [ABSTRACT FROM AUTHOR]

Objective: Subjective Cognitive Decline (SCD), the perception of deteriorating cognition in the absence of apparent impairment on objective testing, has gained momentum in recent literature as a risk marker for AD. Traditional neuropsychological assessments, while typically inclusive of a word list learning task, often do not include a comparable figure learning task. Growing evidence suggests that nonverbal assessments may be particularly sensitive to the earliest cognitive changes associated with Alzheimer's disease. The Biber Figure Learning Test (BFLT), a visuospatial analogue to verbal list learning tasks, has been shown to associate with brain-based biomarkers of Alzheimer's disease (AD; hippocampal volume, amyloid load). This study investigates the utility of the BFLT in capturing SCD above and beyond other cognitive measures sensitive to AD progression. Participants and Methods: 50 community-dwelling, cognitively normal individuals (78% White, 16% Black, 6% Other; 92% Non-Hispanic; 64% Female; Education M=17.1, SD=2.1; Age M=72.7, SD=6.2) participated in a study of SCD. All participants performed >-1.5 SD on clinical neuropsychological testing including a word list learning task. SCD was assessed using a 20-item scale querying individuals' perception of difficulty across a range of memory and non-memory abilities in relation to others of the same age. Participants completed the BFLT, Loewenstein-Acevedo Scales of Semantic Interference and Learning (LASSI-L), Short-Term Memory Binding (STMB), and Face-Name Associative Memory Exam (FNAME), previously established as being sensitive to pre-clinical AD, were examined as predictors of SCD. A multiple regression adjusted for demographics (age, gender, education) was used to investigate the extent to which BFLT Trial 1 (T1) predicted SCD above and beyond these other cognitive measures sensitive to AD progression. Trial 1 of the BFLT was used based on a separate abstract examining which BFLT score was most highly associated with SCD (Kann et al., pending acceptance). Results: Adjusting for demographics, the present model accounts for 42% of the variance in SCD, while Biber T1 alone accounts for 20% and is the only significant individual predictor of SCD (β=-0.55, p=0.004). In contrast, other variables in the model independently accounted for less than 1% to 4% each (age β=-0.23, p=0.15; gender β=-0.15, p=0.34; education β=0.06, p=0.66; LASSI-L β=-0.11, p=0.55; STMB β=-0.03, p=0.85; FNAME β=-0.10, p=0.64). Conclusions: The present study demonstrates the usefulness of the first learning trial of the BFLT as an independent predictor of SCD above and beyond other verbal and nonverbal measures sensitive to AD pathology. It also highlights the value of including even one trial of figure learning (< 5 minutes) in both clinical and research assessments seeking to capture cognitive changes which may be the earliest indicators of a neurodegenerative process. Ongoing longitudinal research is examining the predictive utility of the BFLT for future cognitive decline and transition to Mild Cognitive Impairment. Further research should explore the association between Biber T1, specifically, and neuropathological biomarkers of AD to further establish its utility as a portent of AD. [ABSTRACT FROM AUTHOR]

Objective: The Biber Figure Learning Test (BFLT) is a serial figure learning assessment previously been shown to be sensitive to various biomarkers of the aging brain. BFLT is an extensive assessment requiring about 30 minutes for administration. In this study, we investigated BFLT's associations with subjective cognitive decline (SCD), an early marker for preclinical Alzheimer's Disease (AD), and examined whether alternative BFLT indices could be utilized to considerably shorten the length of assessment without decreasing its sensitivity to SCD. Participants and Methods: Participants were 50 cognitively normal older adults (8% Hispanic, 92% Non-Hispanic; 78% White, 16% Black; 64% female; mean age =72.7 (SD =6.2); mean education =17.05 (SD =2.09)). SCD was measured using a 20-item age-anchored dichotomous questionnaire that assessed complaints of cognitive functioning, and the BFLT was administered in full. Pearson correlations were conducted between SCD and BFLT scores including: Trial 1 Learning (T1), Trials 1 to 2 Total Learning (T1T2), Trials 1 to 3 Total Learning (T1T3), Trials 1 to 5 Total Learning (Total Learning), Immediate Recall, Delayed Recall, Proactive Interference (Trial B – Trial 1), Retroactive Interference (Immediate Recall – Trial 5), and Total Discrimination (calculated as [Recognition Total Correct + 0.5]/16) − ([Total False Alarms + 0.5]/31]). A Fishers Exact Test was utilized to compare the correlational strength between SCD and each of the BFLT scores. Lastly, demographically adjusted (age, gender, and education) regression models were conducted to examine SCD as an individual predictor for the various BFLT scores. Results: SCD was negatively associated with BFLT T1 (r =-0.406, p =0.003), T1T2 (r =-0.331, p =0.019), T1T3 (r =-0.323, p =0.022), Total Learning (r =-0.283, p =0.046), Immediate Recall (r =-0.322, p =0.023), Delayed Recall (r =-0.318, p =0.025), and Retroactive Interference (r =-0.388, p =0.005) and positively associated with Proactive Interference (r =0.308, p =0.029). There was no significant difference in correlational strength between any of these BFLT scores and SCD. Adjusting for demographics, SCD predicted Immediate Recall (B =-0.273, p =0.029), Total Learning (B =- 0.253, p =0.040), T1 (B =-0.412, p =0.002), T1T2 (B =-0.326, p =0.010), T1T3 (B =-0.299, p =0.017), Proactive Interference (B =0.292, p =0.050), and Retroactive Interference (B =- 0.330, p =0.025). Conclusions: Eight of the nine assessed BFLT scores were strongly correlated with age-anchored SCD and age-anchored SCD predicted seven of the nine assessed BFLT indices when adjusted for demographics. Although additional work is needed, these findings suggest SCD's sensitivity to changes in visuospatial learning and memory, supporting its use as an early marker for preclinical AD. Likewise, our results suggest that an abbreviated version of the BFLT could be utilized that shortens testing time and reduces participant fatigue without a decrease in clinical relevance. Through ongoing longitudinal work, we hope to further disentangle the relationship between SCD and visuospatial learning and memory as measured through the BFTL and to examine how associations between SCD and the BFLT assessment change over time. [ABSTRACT FROM AUTHOR]

Objective: Historically, psychiatric conditions and neurodegenerative diseases have been considered differential diagnoses in older adults with cognitive impairment. However, recent evidence has shown that neuropsychiatric symptoms may be prodromal for neurodegenerative disease. Subjective Cognitive Decline (SCD) is a potential marker for pre-clinical Alzheimer's Disease (AD) that is frequently related to mood disturbances. Delineating the relationship between neuropsychiatric symptoms, SCD, and cognitive impairment will help to define both the independent and combined utility of SCD and neuropsychiatric symptoms as markers of preclinical AD. This abstract uses the DSM-5 Cross-Cutting Measure (DSM-5 CC), a novel comprehensive screening tool for psychiatric symptoms, to examine the relationship between objective and subjective measures of cognition as they relate to neuropsychiatric symptoms. Participants and Methods: 27 community dwelling, cognitively diverse older adults (78% female, mean age 71.9 ± 7) were enrolled in the Concerns about Memory Problems (CAMP) study. Inclusion criteria included the expressed concern about memory functioning by participants on a 5-item screener, while exclusion criteria were defined as previous diagnosis of neurodegenerative diseases and/or major stroke. All participants completed neuropsychological testing and study surveys including the DSM-5 CC. Participants completed Level 1 and all Level 2 (L2) forms of the DSM-5 CC. Spearman two-tailed non-parametric correlations and independent samples t-tests were conducted to examine the relationship between the DSM-5 CC and the 5-item subjective cognition screener, as well as the DSM-5 CC and objective cognition results. Results: Subjective measures of cognition, as measured by answers to the 5-item screening measure, were significantly associated with DSM-5 CC measures. Question 1 on the SCD screener which asks, "Compared to others your age, do you have difficulty with memory or thinking abilities?" was associated with anger (p=.033) and depression (p=.018) L2 forms. Question 3, "Do any difficulties with memory or thinking abilities make it difficult for you to do things in daily life?)" was associated with the L2 forms for somatic symptoms (p=.016) and repetitive thoughts and behaviors (p<.001). Objective measures of cognition from neuropsychological testing also correlated with DSM-5 CC sub-scores. Digits Backwards Length (DBL) correlated with DSM-5 CC Level 1 Sum (r= -.57, p=.002). DBL (r=-.59 p=.001) and Digits Backwards Total Correct (DBTC) (r=-.47, p=.013) associated with somatic symptoms L2 and sleep L2 (DBL: r=,-.45 p=.019; DBTC: r=-.39, p=.044). Category Naming (animals) was also associated with anxiety L2 (r=-.42, p=.030). Conclusions: Subjective and objective measures of cognition were each related to sub-scores of the DSM-5 CC. Interestingly, the associations were largely non-overlapping. These results highlight the importance of considering a wide range of neuropsychiatric symptoms in the assessment of SCD and cognitive impairment. Findings contribute to the growing body of literature suggesting that neuropsychiatric symptoms should be studied in conjunction with cognitive symptoms among older adults as co-occurring phenomena. Future directions will need to include longitudinal studies that can examine the prodromal nature of SCD and neuropsychiatric symptoms for Alzheimer's and other neurodegenerative disorders. [ABSTRACT FROM AUTHOR]

Objective: Alzheimer's disease (AD) is expected to affect over 7 million older Americans by 2025. Development of fast and inexpensive screening measures for routine screening is critical for identifying those suffering from the earliest stages of AD including Mild Cognitive Impairment (MCI) and Subjective Cognitive Decline (SCD). Here we assess the validity and utility of a brief, 5-item SCD screener and its associations with neuropsychological performance as compared to an existing objective cognitive screener, the Mini Mental Status Exam (MMSE). Participants and Methods: Development: A brief, 5-item SCD questionnaire was developed based on a more extensive 20-item version previously validated (Chapman et al. 2021). Participants: 27 cognitively diverse (MCI and cognitively normal) community dwelling older adults were recruited for this study. Mean age: 71.9 ± 7. Inclusion criteria include memory concerns. Exclusion criteria include no previous diagnoses of neurodegenerative diseases and/or major stroke. Administration: Participants completed a brief, 5-item SCD screener along with cognitive testing including the MMSE and a clinically validated list-learning test, the Selective Reminding Test (SRT). Statistical Methods: Spearman 2-tailed correlations were conducted to assess the relationship between the two screening measures, and their relationships to the SRT. Outcome measures on the SRT included total recall (max: 72) and delayed recall (max: 12). All cognitive measures were demographically adjusted with normative data. Results: The mean total for the SCD screener was 2.1 ±1.1, and the mean MMSE score was 29.2 ± 1.2. The SCD screener was associated with MMSE scores (r= -.39, p=.043), SRT Total Recall (r= -.43, p=.024) and Delayed Recall (r=-.42, p=.031) measures. MMSE scores did not associate with either SRT outcome (p>.05). Conclusions: Results support the utility and validity of a brief subjective cognitive decline screener for identifying those who may be experiencing memory dysfunction. The brief SCD screener outperformed the MMSE, an existing and widely used objective screening measure. Associations between the SCD screener and SRT outcomes support the validity and utility of the brief screener and recapitulate previous findings with the more extensive version of the SCD questionnaire (Chapman et al. 2021). Ongoing research is focusing on the utility of the screener in frontline clinical settings and translation of the screener into Spanish. [ABSTRACT FROM AUTHOR]

Objective: Although health problems are often a natural consequence of aging, many older adults struggle to manage their health care problems. Health literacy refers to the ability to access, process, and use health information to make appropriate decisions to promote good overall health. Low levels of health literacy are associated with a host of negative outcomes such as less efficient use of healthcare services, higher healthcare costs, increased mortality, and poorer self-rated health. In those with medical conditions (e.g., diabetes), lower health literacy is linked with higher levels of depression. It is important to investigate whether mental health is linked to health literacy as understanding these links has the potential to identify those at risk for negative outcomes and thus implement protective strategies. Therefore, the current study sought to determine the extent to which various mental health constructs such as happiness, well-being, anxiety and depression are related to health literacy in a community-based sample of cognitively healthy individuals. We hypothesized that higher levels of health literacy would be associated with higher self-reported well-being, happiness, and lower anxiety and depression. Participants and Methods: Design - Cross-sectional, prospective study. Setting - Community-based. 93 individuals were included with mean age=59.02 years (SD=15.12) and mean education=15.70 (SD=2.39). 60% were women, the majority were White (55%) while 38% were Black and 7% belonged to other races; 90% were non-Hispanic. Measures: Health Literacy - Health literacy was measured by an 8-item instrument in the Rush Memory and Aging Project that examined the participant's understanding of health care, treatment, and related behaviors. Happiness - Happiness was measured by 5 items from the Satisfaction with Life Scale using a 7-point scale (1 = strongly agree; 7 = strongly disagree). Higher scores indicated lower levels of happiness. Well-being - Well-being was measured with an 18-item instrument from the Rush Memory and Aging project, with higher scores indicating better well-being. Statistics: Bivariate correlations between age, education, and mental health measures and health literacy were examined. Results: Higher level of health literacy was significantly associated with age (r =.282 p =.009) and education (r =.228 p =.039). Contrary to our hypothesis, health literacy was not significantly associated with happiness (r =.002 p =.987), well-being (r =.037 p =.742), depression (r =.005 p =.962) or anxiety (r = -.064 p =.568). Even after controlling for age and education, these associations remained significant. Conclusions: Higher level of healthy literacy was associated with older age and higher level of education. However, no significant association was found between health literacy and mental health measures of happiness, well-being, depression, and anxiety in cognitively healthy individuals, even after controlling for demographics. The lack of such associations in this study was unexpected and suggests that other factors such as the presence of health conditions (e.g., diabetes, cancer) might critically contribute to such associations. Future studies should examine these associations in a larger context to better understand how to promote healthy self-care behaviors. [ABSTRACT FROM AUTHOR]

Objective: Historically, assessment of financial decision making (FDM) has largely relied on self- or informant-reports, and paper-and-pencil tests. However, subjective report is prone to under/over-estimation biases, and most available tests probe increasingly outdated tasks such as writing checks and checkbook management. Advances in technology have made online methods one of the most common and preferred styles of managing money. There is thus a critical need to develop modern and objective methods to assess financial decision making that can be used in clinical settings. The current study aimed to develop and validate a novel, simulated online money management (OMM) credit card task mimicking a real-world task. Participants and Methods: Development. The OMM task was conceptualized based on collaborations with a diverse team of experts spanning neuropsychology, geriatrics, computer science, and economics. Administration. The task involves several sub-tasks including logging into a simulated credit card account, navigating a few pages to download a statement for a specific month, answering questions about where certain pieces of information are in the statement, identifying erroneous transactions in the account activity section, and answering questions involving practical aspects of managing a credit card. Pilot phase. Using an iterative process, the task was refined and piloted in ten participants. Validation. Performance was examined in relation to an existing online automated teller machine (ATM) task. Design & Setting. Cross-sectional, community-based prospective study. Measures: OMM task. The newly developed OMM credit card task consists of two broad areas, (i) online navigation and (ii) content-focused (simple literacy, complex literacy, monitoring, awareness). ATM task. This measure consists of sequential tasks such as checking the balance in one's account, transferring money between accounts, and withdrawing cash. Both the OMM and ATM tasks were administered remotely by a neuropsychologist using Zoom and Team Viewer on a Dell laptop. Participants: Thirty-five cognitively healthy older adults were included with mean age=70.06 years (SD=3.82) and mean education=21.89 (SD=1.76). 72% were women, the majority were White (77%) while 20% were Black and 3% belonged to other races; 91% were non-Hispanic. Statistics & Metrics: Bivariate correlations between the OMM task, ATM task and demographic variables were examined. Time and steps/clicks to complete the OMM task were the primary outcome metrics. Results: All participants were able to complete the OMM task. No significant associations were found between demographics (age, gender, education) and OMM metrics, and among OMM metrics (time and clicks). Significant associations in the expected direction were present between the OMM and ATM tasks. Time taken to answer the questions on the OMM task was associated with time required to complete the ATM task (r = 0.57, p < 0.001). Increased number of clicks on the OMM task was associated with increased number of errors (r = 0.54, p < 0.001) and increased time to complete the ATM task (r = 0.41, p = 0.01). Conclusions: This is one of the first studies to develop and demonstrate the validity of a technologically based and practically relevant measure of financial decision making. Studies are ongoing to more comprehensively understand the psychometric properties of this novel task. [ABSTRACT FROM AUTHOR]

Objective: Leukocyte telomere length (LTL) is a widely hypothesized biomarker of biological aging. Persons with shorter LTL may have a greater likelihood of developing dementia. We investigate whether LTL is associated with cognitive function, differently for individuals without cognitive impairment versus individuals with dementia or incipient dementia. Method: Enrolled subjects belong to the Long Life Family Study (LLFS), a multi-generational cohort study, where enrollment was predicated upon exceptional family longevity. Included subjects had valid cognitive and telomere data at baseline. Exclusion criteria were age ≤ 60 years, outlying LTL, and missing sociodemographic/clinical information. Analyses were performed using linear regression with generalized estimating equations, adjusting for sex, age, education, country, generation, and lymphocyte percentage. Results: Older age and male gender were associated with shorter LTL, and LTL was significantly longer in family members than spouse controls (p < 0.005). LTL was not associated with working or episodic memory, semantic processing, and information processing speed for 1613 cognitively unimpaired individuals as well as 597 individuals with dementia or incipient dementia (p < 0.005), who scored significantly lower on all cognitive domains (p < 0.005). Conclusions: Within this unique LLFS cohort, a group of families assembled on the basis of exceptional survival, LTL is unrelated to cognitive ability for individuals with and without cognitive impairment. LTL does not change in the context of degenerative disease for these individuals who are biologically younger than the general population. [ABSTRACT FROM AUTHOR]

Objectives: Patients with essential tremor exhibit heterogeneous cognitive functioning. Although the majority of patients fall under the broad classification of cognitively "normal," essential tremor is associated with increased risk for mild cognitive impairment and dementia. It is possible that patterns of cognitive performance within the wide range of normal functioning have predictive utility for mild cognitive impairment or dementia. These cross-sectional analyses sought to determine whether cognitive patterns, or "clusters," could be identified among individuals with essential tremor diagnosed as cognitively normal. We also determined whether such clusters, if identified, were associated with demographic or clinical characteristics of patients. Methods: Elderly subjects with essential tremor (age >55 years) underwent comprehensive neuropsychological testing. Domain means (memory, executive function, attention, visuospatial abilities, and language) from 148 individuals diagnosed as cognitively normal were partitioned using k -means cluster analysis. Individuals in each cluster were compared according to cognitive functioning (domain means and test scores), demographic factors, and clinical variables. Results: There were three clusters. Cluster 1 (n = 64) was characterized by comparatively low memory scores (p <.001), Cluster 2 (n = 39) had relatively low attention and visuospatial scores (p <.001), and Cluster 3 (n = 45) exhibited consistently high performance across all domains. Cluster 1 had lower Montreal Cognitive Assessment scores and reported more prescription medication use and lower balance confidence. Conclusions: Three patterns of cognitive functioning within the normal range were evident and tracked with certain clinical features. Future work will examine the extent to which such patterns predict conversion to mild cognitive impairment and/or dementia. [ABSTRACT FROM AUTHOR]

Objective: The COVID-19 pandemic increased utilization of remote assessment to allow clinicians and researchers to continue valuable work while maintaining quarantine guidelines. With guidelines relaxing, researchers have returned to in-person assessment. Information is needed regarding the effect of remote assessments on test-retest reliability. COGNET, a longitudinal study of cognition in participants with essential tremor, transitioned from in-person to remote assessments during the pandemic, and has now returned to in-person assessment. The current study investigates the extent to which remote assessment affected test-retest reliability across a range of neuropsychological assessments administered in COGNET. Participants and Methods: Participants included 27 older adults enrolled in COGNET (mean age=75.0 (9.1), education=16.2 (2.6), 67% female, and 100% white). Memory tests included: California Verbal Learning Test II, Logical Memory subtest of the Wechsler Memory Scales - Revised, and Verbal Paired? Associates. Executive function tests included: Digit Span Backwards and the Delis-Kaplan Executive Function System subtests of Verbal Fluency, Sorting, and Color-Word. Attention tests included Oral Symbol Digit Modalities Test and Digit Span Forward. Language was assessed with the Boston Naming Test. Intraclass correlation coefficients (ICCs) were calculated to examine test-retest reliability of InPerson to In-Person visits (P-P), and combination visits (e.g., In-Person to Remote (PR), and Remote to In-Person (R-P)). Following Koo & Li (2016), ICCs were interpreted as: >.90 excellent,.75-.90 good,.50-.74 moderate, and <.50 poor reliability. The Feldt approach was used to compare ICCs from P-P visits against ICCs calculated for combination visits (P-R or R-P), with the test statistic compared to an F distribution. Results: ICCs for person-to-person assessment ranged from.51 to.89. Memory test ICCs ranged from moderate to good (.51 to.80). Executive function test ICCs ranged from moderate to good (.55 to.89). The attention domain had moderate ICCs (.67 -.68). Language ICC was moderate (.70). ICCs for person-to-remote assessment ranged from.42 to.89. Memory tests ranged from moderate to good ICCs (.59 to.83). Executive function tests ranged from poor to good ICCs (.42 to.89). Attention ICCs were moderate to good (.55 to.79). The Language ICC was moderate (.72). ICCs for remote-to-person ranged from.48 to 86. Memory ICCs ranged from moderate to good (.59 to.86). Executive function ICCs ranged from poor to good (.48 to.83). Attention ICCs were moderate to good (.56 to.79). The Language ICC was good (.78). The only test for which an ICC from a combination visit was significantly lower than a person to person visit was Digit Span Backwards. Conclusions: Test-retest reliability was moderate or better for all P-P assessments, consistent with the known psychometrics of these tests. Only one test of executive function showed lower reliability when remote assessment was introduced. From a broad standpoint, current results suggest that remote administration of neuropsychological tests can be used as a reliable substitute for in-person assessment for many measures, and suggest that caution be used when interpreting any change in Digit Span Backwards across person and remote assessments. [ABSTRACT FROM AUTHOR]

Objective: Subjective cognitive decline (SCD) is increasingly being considered one of the earliest clinical signs of Alzheimer's Disease (AD). Certain characteristics of early life, such as childhood socioeconomic status (SES), have been associated with late life cognitive performance. Here we examine the extent to which childhood SES predicts SCD. Participants and Methods: The current sample consisted of 55 healthy older adults (17 Male, 39 Female), aged 51 to 88 (M=73.14, SD=6.23) with a mean education of 16 years (SD=2.1 years). 21.5% of the sample self-reported as race/ethnic minorities (e.g., Hispanic or Non-Hispanic African American, Asian, Other.) Participants completed a 20-item SCD questionnaire assessing perceived cognitive difficulties in comparison to same aged peers, and objective cognitive testing. Childhood SES was assessed using two items. The first item asked the participant to utilize a modified MacArthur Scale of Subjective Social Status to identify where on the ladder they felt their family would have been placed during their childhood relative to others in the United States. This ladder has 10 rungs, with rung 1 associated with being the "worst off" and rung 10 associated with being the "best off". The second item asked the participant to rate their family's difficulty paying bills during their childhood. Linear regression models were used to examine the extent to which childhood SES predicted SCD. Models were adjusted for education, referral source (clinical versus non-clinical), and objective cognitive testing. Age and gender were not associated with childhood SES or SCD, and as a result were not adjusted for in these models. Results: On the MacArthur Scale, 20% of participants placed their family at rung 5, 38.2% placed their families at a rung lower than 5, and 41.8% placed their family at a rung higher than 5. When rating the difficulty their family faced paying bills, 3.6% of participants responded "extremely difficult", 16.4% responded "very difficult", 20% responded "somewhat difficult", 23.6% responded "slightly difficult", and 36.4% responded "not difficult". Linear regression models revealed a significant effect of childhood SES on SCD (β=-.29, p=.045, SE=.90; β=-.35, p=.015, SE=1.68). Conclusions: Childhood SES, measured by subjective social status and family's difficulty paying the bills in childhood, was predictive of SCD in this study of cognitively healthy adults. This result highlights another characteristic of early life that may shape the path of cognitive aging. The predictive utility of childhood SES for SCD may also provide clinicians and researchers with further insight into the populations that may be more susceptible to experiencing SCD in later life. Future studies should utilize a larger sample size among a population with a greater range of childhood SES, to most accurately capture the effectiveness of childhood SES to predict SCD. [ABSTRACT FROM AUTHOR]

Objectives: The cognitive indicators of preclinical behavioral variant Frontotemporal Dementia (bvFTD) have not been identified. To investigate these indicators, we compared cross-sectional performance on a range of cognitive measures in 12 carriers of pathogenic MAPT mutations not meeting diagnostic criteria for bvFTD (i.e., preclinical) versus 32 demographically-matched familial non-carriers (n = 44). Studying preclinical carriers offers a rare glimpse into emergent disease, environmentally and genetically contextualized through comparison to familial controls. Methods: Evaluating personnel blinded to carrier status administered a standardized neuropsychological battery assessing attention, speed, executive function, language, memory, spatial ability, and social cognition. Results from mixed effect modeling were corrected for multiplicity of comparison by the false discovery rate method, and results were considered significant at p <.05. To control for potential interfamilial variation arising from enrollment of six families, family was treated as a random effect, while carrier status, age, gender, and education were treated as fixed effects. Results: Group differences were detected in 17 of 31 cognitive scores and spanned all domains except spatial ability. As hypothesized, carriers performed worse on specific measures of executive function, and social cognition, but also on measures of attention, speed, semantic processing, and memory storage and retrieval. Conclusions: Most notably, group differences arose on measures of memory storage, challenging long-standing ideas about the absence of amnestic features on neuropsychological testing in early bvFTD. Current findings provide important and clinically relevant information about specific measures that may be sensitive to early bvFTD, and advance understanding of neurocognitive changes that occur early in the disease. (JINS , 2019, 25 , 184–194) [ABSTRACT FROM AUTHOR]

Objectives: Essential tremor (ET) confers an increased risk for developing both amnestic and non-amnestic mild cognitive impairment (MCI). Yet, the optimal measures for detecting mild cognitive changes in individuals with this movement disorder have not been established. We sought to identify the cognitive domains and specific motor-free neuropsychological tests that are most sensitive to mild deficits in cognition as defined by a Clinical Dementia Rating (CDR) of 0.5, which is generally associated with a clinical diagnosis of MCI. Methods: A total of 196 ET subjects enrolled in a prospective, longitudinal, clinical-pathological study underwent an extensive motor-free neuropsychological test battery and were assigned a CDR score. Logistic regression analyses were performed to identify the neuropsychological tests which best identified individuals with CDR of 0.5 (mild deficits in cognition) versus 0 (normal cognition). Results: In regression models, we identified five tests in the domains of Memory and Executive Function which best discriminated subjects with CDR of 0.5 versus 0 (86.9% model classification accuracy). These tests were the California Verbal Learning Test II Total Recall, Logical Memory II, Verbal-Paired Associates I, Category Switching Fluency, and Color-Word Inhibition. Conclusions: Mild cognitive difficulty among ET subjects is best predicted by combined performance on five measures of memory and executive function. These results inform the nature of cognitive dysfunction in ET and the creation of a brief cognitive battery to assess patients with ET for cognitively driven dysfunction in life that could indicate the presence of MCI. (JINS , 2018, 24 , 1084–1098) [ABSTRACT FROM AUTHOR]

Objectives: Emerging work reveals the neuroanatomic changes that compromise metacognition; however, little is known about the impact of premorbid factors. Research suggests that psychological variables influence the perception of cognition, but whether they influence the accuracy of those perceptions (i.e., metacognition) has not been directly examined. Participants and Methods: Using Latent Class Analysis (LCA), we tested for discrete personality (NEOFFI) and mood (STAI, BDI-II, and GDS) classes among a community-based cohort of 151 older adults, enrolled in the NKI-Rockland study. Metamemory was calculated by comparing subjective memory ratings (modified Cognitive Failures Questionnaire) to objective memory (Rey Auditory Verbal Learning Test) to determine the degree to which individuals were overconfident, underconfident, or accurate in their self-assessment. A generalized linear model was used to examine whether metamemory differed across the emergent classes. A one sample t test was used to determine whether the metamemory scores of the emergent classes were statistically significantly different from zero, that is, over or under confident. Results: Two discrete classes emerged in the LCA: Class 1 was characterized predominantly by high extraversion and conscientiousness and low neuroticism and anxiety; Class 2 was characterized predominantly by low extraversion and conscientiousness and high neuroticism and anxiety. Metamemory differed significantly as a function of Class Membership (F(4,151)=5.42; p<.001), with Class 1 demonstrating accurate metamemory (M=0.21; SD=1.31) and Class 2 demonstrating under-confidence (M=−0.59; SD=1.39) in their memory. Conclusions: The significant association between psychological factors and metamemory knowledge accuracy suggests that such characteristics may be important to consider in the conceptualization, assessment, and treatment of metacognitive disturbances. (JINS, 2018, 24, 498–510) [ABSTRACT FROM AUTHOR]

ObjectivesIndividuals with essential tremor (ET) exhibit a range of cognitive deficits generally conceptualized as “dysexecutive” or “fronto-subcortical,” and thought to reflect disrupted cortico-cerebellar networks. In light of emerging evidence that ET increases risk for Alzheimer’s disease (AD), it is critical to more closely examine the nature of specific cognitive deficits in ET, with particular attention to amnestic deficits that may signal early AD.MethodsWe performed a cross-sectional analysis of baseline data from 128 ET cases (age 80.4±9.5 years) enrolled in a longitudinal, clinical-pathological study. Cases underwent a comprehensive battery of motor-free neuropsychological tests and a functional assessment to inform clinical diagnoses of normal cognition (ET-NC), mild cognitive impairment (MCI) (ET-MCI), or dementia (ET-D). ET-MCI was subdivided into subtypes including: amnestic single-domain (a-MCI), amnestic multi-domain (a-MCI+), non-amnestic single-domain (na-MCI), or non-amnestic multi-domain (na-MCI+).ResultsNinety-one (71.1%) cases were ET-NC, 24 (18.8%) were ET-MCI, and 13 (10.2%) were ET-D. Within MCI, the a-MCI+ subtype was the most common (13/24; 54.2%) followed by a-MCI (4/24; 16.7%), na-MCI+ (4/24; 16.7%), and na-MCI (3/24; 12.5%). Cases with amnestic MCI demonstrated lower recognition memory Z-scores (−2.4±1.7) than non-amnestic groups (−0.9±1.2) (p=.042).ConclusionsAmnestic MCI, defined by impaired memory recall but associated with lower memory storage scores, was the most frequent MCI subtype in our study. Such impairment has not been explicitly discussed in the context of ET and may be an early hallmark of AD. Results have implications for the prognosis of specific cognitive deficits in ET. (JINS, 2017, 23, 390–399) [ABSTRACT FROM PUBLISHER]

Using cluster analysis Libon et al. (2010) found three verbal serial list-learning profiles involving delay memory test performance in patients with mild cognitive impairment (MCI). Amnesic MCI (aMCI) patients presented with low scores on delay free recall and recognition tests; mixed MCI (mxMCI) patients scored higher on recognition compared to delay free recall tests; and dysexecutive MCI (dMCI) patients generated relatively intact scores on both delay test conditions. The aim of the current research was to further characterize memory impairment in MCI by examining forgetting/savings, interference from a competing word list, intrusion errors/perseverations, intrusion word frequency, and recognition foils in these three statistically determined MCI groups compared to normal control (NC) participants. The aMCI patients exhibited little savings, generated more highly prototypic intrusion errors, and displayed indiscriminate responding to delayed recognition foils. The mxMCI patients exhibited higher saving scores, fewer and less prototypic intrusion errors, and selectively endorsed recognition foils from the interference list. dMCI patients also selectively endorsed recognition foils from the interference list but performed similarly compared to NC participants. These data suggest the existence of distinct memory impairments in MCI and caution against the routine use of a single memory test score to operationally define MCI. (JINS, 2011, 17, 905–914) [ABSTRACT FROM AUTHOR]

The ability to engage in self-reflective processes is a capacity that may be disrupted after neurological compromise; research to date has demonstrated that patients with traumatic brain injury (TBI) show reduced awareness of their deficits and functional ability compared to caretaker or clinician reports. Assessment of awareness of deficit, however, has been limited by the use of subjective measures (without comparison to actual performance) that are susceptible to report bias. This study used concurrent measurements from cognitive testing and confidence judgments about performance to investigate in-the-moment metacognitive experiences after moderate and severe traumatic brain injury. Deficits in metacognitive accuracy were found in adults with TBI for some but not all indices, suggesting that metacognition may not be a unitary construct. Findings also revealed that not all indices of executive functioning reliably predict metacognitive ability. (JINS, 2011, 17, 720–731) [ABSTRACT FROM AUTHOR]

Objective: Essential tremor (ET) is associated with psychological difficulties, including anxiety and depression. Demoralization (feelings of helplessness, hopelessness, inability to cope), another manifestation of psychological distress, has yet to be investigated in ET. Our objectives are to (1) estimate the prevalence of demoralization in ET, (2) assess its clinical correlates, and (3) determine whether demoralization correlates with tremor severity., Methods: We administered the Kissane Demoralization Scale (KDS-II) and several psychosocial evaluations (ie, scales assessing subjective incompetence, resilience, and depression [eg, Geriatric Depression Scale]) to 60 ET subjects. Tremor was assessed with a disability score and total tremor score. KDS-II >8 indicated demoralization., Results: Among 60 ET subjects (mean age = 70.2 ± 6.8 years), the prevalence of demoralization was 13.3%, 95% confidence interval = 6.9-24.2%. Although there was overlap between demoralization and depression (10% of the sample meeting criteria for both), 54% of depressed subjects were not demoralized, and 25% of demoralized subjects were not depressed. Demoralization correlated with psychological factors, but demoralized subjects did not have significantly higher total tremor scores, tremor disability scores, or years with tremor., Conclusions: Demoralization has a prevalence of 13.3% in ET, similar to that in other chronic or terminal illnesses (eg, cancer 13-18%, Parkinson's disease 18.1%, coronary heart disease 20%). Demoralization was not a function of increased tremor severity, suggesting that it is a separable construct, which could dictate how a patient copes with his/her disease. These data further our understanding of the psychological and psychosocial correlates of ET.

A critical focus of neuropsychological research is to identify unbiased ways to compare heterogeneous groups on background variables relevant to neuropsychological performance. Whereas recent work has pointed to single word reading as a less culturally biased measure of educational experience than years of education, the extent to which reading score captures a broad range of educational experience and does so consistently across ethnic and language groups is unknown. The current study evaluated reading in relation to years of education in English-speaking Whites, Blacks, and Hispanics, and Spanish-speaking Hispanic older persons (n = 342). Consistent with previous work, reading scores at each grade level were lower in English speaking ethnic minorities than in Whites, supporting the idea that variables related to lifetime educational experience are often confounded with ethnicity. Standardized reading scores were highest in the Spanish speakers; however, interpretation of this difference is limited because scores were necessarily derived using separate normative samples. Importantly, the slopes of reading score by years of education were comparable across all groups. That is, reading scores rose consistently with years of education independently of ethnicity or language, suggesting that such scores can be treated comparably for theoretical and statistical purposes in multiethnic and multilingual samples.