Compensatory strategy use in diverse older adults with subjective cognitive complaints.

OBJECTIVES: The current study aimed to evaluate the relationship between subjective cognitive complaints (SCC) and compensatory strategy (CS) use in a diverse sample of non-Latinx White (NLW), Black, and Latinx American older adults. METHOD: 807 older adults (Mage = 65.38, 62.7% female) were recruited through Amazon's Mechanical Turk (MTurk) and Qualtrics Panel to complete questionnaires on SCC and CS use. Kruskall-Wallis tests were used to evaluate differences in SCC across groups given non-normal distributions. Analysis of variance (ANOVA) was used to evaluate group differences in CS use. The PROCESS macro for SPSS was used to examine whether demographic factors moderated the relationship between SCC and CS use. RESULTS: NLWs reported higher levels of SCC and greater overall use of CS in comparison to Latinx and Black individuals. Several demographic and psychosocial factors including age, ethno-racial group, education, and anxiety level were found to be associated with CS use. Education was found to moderate the association between SCC and CS use. CONCLUSION: Inconsistent with prior studies, our study found that NLWs reported the highest levels of SCC. CS were used across all racial/ethnic groups, but the frequency of CS use may be impacted by education level. While all education groups increased their CS in response to higher levels of SCC, this increase was more substantial for those with lower levels of education. Future work should consider individuals' cultural and educational background when examining SCC and/or developing CS-based intervention for the aging population.

Longitudinal Predictors of Informant-Rated Everyday Function in Mild Cognitive Impairment.

OBJECTIVE: To examine predictors of informant-reported everyday functioning in mild cognitive impairment (MCI) and relations between everyday function and conversion to dementia. METHODS: Informants of participants (n = 2614) with mild cognitive impairment (MCI) were administered the Functional Activities Questionnaire (FAQ). Changes in dimensions of functional ability as determined by an exploratory factor analysis (EFA) were examined over 3 years and participant predictors of change were examined using multilevel modeling (MLM). RESULTS: The FAQ consisted of 3 factors, multistep, finance, and memory/orientation daily tasks. Impairment in memory/orientation tasks was significantly higher than impairment in multistep tasks. Worse functioning was associated with greater depression, worse memory, worse speed/EF, higher years of education and identifying as White. There was variability in some of these associations with different FAQ factors. Impairments in financial and memory/orientation daily tasks predicted follow-up conversion to dementia. CONCLUSIONS: Depression, speed/EF, and memory are consistently associated with domains of everyday functioning. Race, education, and age may be more variability associated with everyday functioning. Specific attention should be paid to subtle declines in the financial and memory/orientation domains as they may uniquely predict future dementia development. Depression may be a modifiable risk factor associated with functional impairment over time.

Beyond depression: examining the role of anxiety and anxiety sensitivity on subjective cognition and functioning in older adults.

OBJECTIVES: Subjective cognitive difficulties in the elderly may serve as potential risk-factors for future, objective decline and conversion to neurodegenerative disorders (e.g., mild cognitive impairment [MCI] and dementia). Though these subjective declines have been associated with depression, and to a lesser extent, anxiety, it is unknown if related constructs (e.g. anxiety sensitivity) and specific kinds of worries (e.g. worry about developing dementia, health anxiety) are related to subjective declines. The current study sought to examine if cognitive concerns related to anxiety sensitivity, dementia worry, and health anxiety added incremental validity beyond general symptoms of anxiety and depression in predicting subjective cognition and functioning in a sample of older adults. METHODS: Participants were 429 older adults who were at least 60 years old. Participants completed questionnaires on subjective cognition, subjective everyday function, anxiety, depression, anxiety sensitivity, dementia worry, and health anxiety via Qualtrics Panels. Hierarchical multiple regressions were conducted. RESULTS: Our variables of interest (anxiety sensitivity, dementia worry, and health anxiety) added significant variance in predicting subjective cognition and everyday function. Specifically, anxiety sensitivity was related to subjective cognition and functioning, while dementia worry and health anxiety were variably associated. CONCLUSION: Our results suggest that constructs related to anxiety and worry have a significant relationship with subjective cognition and function in older adults beyond general symptoms of depression and anxiety. Future work should examine if interventions and education may help to decrease anxiety sensitivity and worry about dementia respectively in older adults, which may in tern protect against future subjective declines.

Assessment of anxiety in older adults: psychometric properties and relationships with self-reported functional impairment.

OBJECTIVE: The current study aimed to examine the psychometric properties of two geriatric anxiety measures: the Geriatric Anxiety Inventory (GAI) and the Geriatric Anxiety Scale (GAS). This study also aimed to determine the relationships of these measures with two measures of functional ability and impairment: the Barkley Functional Impairment Scale (BFIS) and the Everyday Cognition Scale (E-Cog). DESIGN: Confirmatory factor analyses (CFA) were used to analyze the factor structures of the GAI and GAS in older adults. Tests for dependent correlations were used to examine the relationship between anxiety scales and functioning. SETTING: Amazon's Mechanical Turk. PARTICIPANTS: 348 participants (aged 55-85, M= 62.75 (4.8), 66.5% female) with no history of psychosis or traumatic brain injury. RESULTS: CFAs supported the previously demonstrated bifactor solution for the GAI. For the GAS, the previously demonstrated three-factor model demonstrated a good-to-excellent fit. Given the high correlation between the cognitive and affective factors (r =.89), a bifactor solution was also tested. The bifactor model of the GAS was found to be primarily unidimensional. Tests for dependent correlations revealed that the GAS demonstrated stronger relationships with measures of self-reported functional impairment than the GAI. CONCLUSIONS: The current study provides further psychometric validation of the factor structure of two geriatric anxiety measures in an older adult sample. The results support previous work completed on the GAI and the GAS. The GAS was more strongly correlated with self-reported functional impairment than the GAI, which may reflect differences in content in the two measures.

Examining differences in neuropsychiatric symptom factor trajectories in empirically derived mild cognitive impairment subtypes.

OBJECTIVE: The aim of this study was to examine neuropsychiatric symptom (NPS) factor severity progression over time in empirically derived (ED) mild cognitive impairment (MCI) subtypes. METHODS: Participants in the Alzheimer's Disease Neuroimaging Initiative study diagnosed with MCI by Alzheimer's Disease Neuroimaging Initiative protocol using conventional clinical (CC) criteria (n = 788) were reclassified using cluster analysis as amnestic, dysnomic, dysexecutive MCI, or cluster-derived normal (CC-Normal) using empirical criteria. Cognitively normal (CN) participants (n = 207) were also identified. The Neuropsychiatric Inventory-Questionnaire (NPI-Q) was administered from baseline through 48-month follow-up. Exploratory factor analysis was completed to determine the NPI-Q factor structure at 6-month follow-up. Multilevel modeling was used to determine NPI-Q symptom severity factor and apathy symptom progression over time by cognitive subtype. RESULTS: The exploratory factor analysis revealed that the NPI-Q consisted of 2 factors: hyperactivity/agitation and mood symptoms. Using clinical and empirical criteria, all MCI groups were identified as having more severe hyperactivity/agitation symptoms than CN participants. However, only the amnestic MCI group identified using empirical criteria showed an increase in symptom severity over time relative to CN participants. Mood factor and apathy symptoms were found to be more severe in dysexecutive and amnestic groups in both models. Similarly, both models identified a significant worsening of mood and apathy symptoms over time for dysexecutive and amnestic groups relative to CN participants. CONCLUSIONS: This study provides further support that empirical criteria aid in examining the progression of clinical characteristics associated with MCI. Further, it helps to identify which MCI subtypes may be at higher risk for NPS progression.

Medication management error types: Associations with mild cognitive impairment subtype.

Objective: Medication management errors are suspected to be prevalent among older adults with mild cognitive impairment (MCI). This study examined types of simulated medication-taking errors in cognitively normal older adults (CN; n = 131), single domain amnestic MCI (sdMCI, n = 91), and multi-domain MCI (mdMCI, n = 44). Errors were measured using the medication management ability assessment (MMAA). Methods: 266 participants seen for neuropsychological evaluation (94.4% White, 57.9% female, average age = 72, average education = 14 years) completed the MMAA (version 4.1), a performance-based task of medication management. Group differences in MMAA total scores, accuracy, and error types were evaluated using Kruskall-Wallis H tests. This study was the first to explore a newly operationalized error, perseverations, caused by taking a specific dose ≥2 times during the simulation. Results: CN and sdMCI groups had higher MMAA total scores than individuals with mdMCI, indicating better overall performance. The mdMCI group made a higher number of omission errors (missed pills) than other groups, but no differences were found for commission errors (extra pills). The sdMCI group made more perseverative errors compared to the CN group. Conclusions: Individuals with mdMCI made more simulated medication management errors than CN and sdMCI groups, indicating that they may be most vulnerable to difficulties in medication management. In contrast, sdMCI individuals were more likely to make perseverative errors, which may reflect a tendency towards overcompensation of memory loss. Future studies should assess whether MMAA performance is associated with patterns of real-world medication-taking in more diverse samples of older adults.

Cognitive dispersion is related to subtle objective daily functioning changes in older adults with and without cognitive impairment.

Early detection of cognitive and functional decline is difficult given that current tools are insensitive to subtle changes. The present study evaluated whether cognitive dispersion on neuropsychological testing improved prediction of objectively assessed daily functioning using unobtrusive monitoring technologies. Hierarchical linear regression was used to evaluate whether cognitive dispersion added incremental information beyond mean neuropsychological performance in the prediction of objectively assessed IADLs (i.e., computer use, pillbox use, driving) in a sample of 104 community-dwelling older adults without dementia (Mage = 74.59, 38.5% Female, 90.4% White). Adjusting for age, sex, education, and mean global cognitive performance, cognitive dispersion improved prediction of average daily computer use duration (R2 Δ = 0.100, F Change, p = 0.005), computer use duration variability (R2 Δ = 0.089, F Change p = 0.009), and average daily duration of nighttime driving (R2 Δ = 0.072, F Change p = 0.013). These results suggest cognitive dispersion may improve prediction of objectively assessed functional changes in older adults without dementia.

Serious mental illness is associated with elevated risk of hospital readmission in veterans with heart failure.

OBJECTIVE: Adults with serious mental illness (SMI) have high rates of cardiovascular disease, particularly heart failure, which contribute to premature mortality. The aims were to examine 90- and 365-day all-cause medical or surgical hospital readmission in Veterans with SMI discharged from a heart failure hospitalization. The exploratory aim was to evaluate 180-day post-discharge engagement in cardiac rehabilitation, an effective intervention for heart failure. METHODS: This study used administrative data from the Veterans Health Administration (VHA) and Centers for Medicare & Medicaid Services between 2011 and 2019. SMI status and medical comorbidity were assessed in the year prior to hospitalization. Cox proportional hazards models (competing risk of death) were used to evaluate the relationship between SMI status and outcomes. Models were adjusted for VHA hospital site, demographics, and medical characteristics. RESULTS: The sample comprised 189,767 Veterans of which 23,671 (12.5%) had SMI. Compared to those without SMI, Veterans with SMI had significantly higher readmission rates at 90 (16.1% vs. 13.9%) and 365 (42.6% vs. 37.1%) days. After adjustment, risk of readmission remained significant (90 days: HR: 1.07, 95% CI: 1.03, 1.11; 365 days: HR: 1.10, 95% CI: 1.07, 1.12). SMI status was not significantly associated with 180-day cardiac rehabilitation engagement (HR: 0.98, 95% CI: 0.91, 1.07). CONCLUSIONS: Veterans with SMI and heart failure have higher 90- and 365-day hospital readmission rates even after adjustment. There were no differences in cardiac rehabilitation engagement based on SMI status. Future work should consider a broader range of post-discharge interventions to understand contributors to readmission.

Lower odds of successful community discharge after medical hospitalization for Veterans with schizophrenia: A retrospective cohort study of national data.

Medical comorbidity, particularly cardiovascular diseases, contributes to high rates of hospital admission and early mortality in people with schizophrenia. The 30 days following hospital discharge represents a critical period for mitigating adverse outcomes. This study examined the odds of successful community discharge among Veterans with schizophrenia compared to those with major affective disorders and those without serious mental illness (SMI) after a heart failure hospital admission. Data for Veterans hospitalized for heart failure were obtained from the Veterans Health Administration (VHA) and Centers for Medicare & Medicaid Services between 2011 and 2019. Psychiatric diagnoses and medical comorbidities were assessed in the year prior to hospitalization. Successful community discharge was defined as remaining in the community without hospital readmission, death, or hospice for 30 days after hospital discharge. Logistic regression analyses adjusting for relevant factors were used to examine whether individuals with a schizophrenia diagnosis showed lower odds of successful community discharge versus both comparison groups. Out of 309,750 total Veterans in the sample, 7377 (2.4%) had schizophrenia or schizoaffective disorder and 32,472 (10.5%) had major affective disorders (bipolar disorder or recurrent major depressive disorder). Results from adjusted logistic regression analyses demonstrated significantly lower odds of successful community discharge for Veterans with schizophrenia compared to the non-SMI (Odds Ratio [OR]: 0.63; 95% Confidence Interval [CI]: 0.60, 0.66) and major affective disorders (OR: 0.65, 95%; CI: 0.62, 0.69) groups. Intervention efforts should target the transition from hospital to home in the subgroup of Veterans with schizophrenia.

Remote and in-clinic digital cognitive screening tools outperform the MoCA to distinguish cerebral amyloid status among cognitively healthy older adults.

INTRODUCTION: We evaluated the accuracy of remote and in-person digital tests to distinguish between older adults with and without AD pathological change and used the Montreal Cognitive Assessment (MoCA) as a comparison test. METHODS: Participants were 69 cognitively normal older adults with known beta-amyloid (Aß) PET status. Participants completed smartphone-based assessments 3×/day for 8 days, followed by TabCAT tasks, DCTclock™, and MoCA at an in-person study visit. We calculated the area under the curve (AUC) to compare task accuracies to distinguish Aß status. RESULTS: Average performance on the episodic memory (Prices) smartphone task showed the highest accuracy (AUC = 0.77) to distinguish Aß status. On in-person measures, accuracy to distinguish Aß status was greatest for the TabCAT Favorites task (AUC = 0.76), relative to the DCTclockTM (AUC = 0.73) and MoCA (AUC = 0.74). DISCUSSION: Although further validation is needed, our results suggest that several digital assessments may be suitable for more widespread cognitive screening application.

Comparing Lookback Periods to Ascertain Alzheimer's Disease and Related Dementias.

Claims data are a valuable resource for studying Alzheimer's disease and related dementias (ADRD). Alzheimer's disease and related dementias is often identified using a list of claims codes and a fixed lookback period of 3 years of data. However, a 1-year lookback or an approach using all-available lookback data could be beneficial based on different research questions. Thus, the purpose of this study was to compare 1-year and all-available lookback approaches to ascertaining ADRD compared to the standard 3-year approach. Using a cohort of Veterans hospitalized for heart failure (N = 373, 897), our results suggested high agreement (93% or greater) between the lookback periods. The 1-year lookback period had lower sensitivity (60%) and underestimated the prevalence of ADRD. These results suggest that 1-year and all-available lookback periods are viable approaches when using claims data.

Representation of U.S. Black Americans in neuropsychology research: How well do our reporting practices show that Black lives matter?

OBJECTIVE: Black American individuals comprise about 13% of the population in the United States (U.S.). It is estimated by 2045, approximately 50% of U.S. residents will belong to an ethnic minority group underscoring the importance of the provision of culturally competent services. The present study provides a critical/systematic review of the literature to examine the representation of Black Americans in recent neuropsychological research in U.S. neuropsychology journals. We examined the representation of U.S. Black American individuals across journals, year of study, and by study sample. METHOD: We evaluated 1,151 journal articles published in 4 neuropsychology journals published in 2011, 2014, 2017 and 2019. Articles were coded for reporting of age, sex/gender, years of education, ethnicity/race, and if race was a focus of the study. We also recorded sample size and type of sample. RESULTS: Out of the 397 articles meeting inclusion criteria, 37.5% did not report ethnic or racial demographic information. Additionally, 96% of the articles were not racially/ethnically focused. Black participants comprised 10.7% of participants in articles that reported race/ethnicity. The proportion of Black participants increased by 3.7% between 2011 and 2019. CONCLUSION: Our results demonstrate the underrepresentation of U.S. Black Americans in neuropsychological research over the targeted years. This highlights our shortcomings as a field in demonstrating the importance of including Black Americans in research.

The Effects of Cardiovascular Risk Factors on Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) Performance in Cognitively Healthy Older Adults.

OBJECTIVE: The current study investigated the differential impact cardiovascular risk factors (CVRFs) on Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) performance in a large, cognitively healthy, older adult sample across 4 years. METHOD: Participants were 486 individuals recruited through a longitudinal aging research study in the southeastern United States. Participants were 69.3% female, an average of 69.96 years old (SD = 6.58), 16.32 years of education (SD = 2.27), and Mini-Mental Status Exam score of 29.12 (SD = 1.16). Participants completed the RBANS at baseline and yearly thereafter, as well as the Uniform Data Set demographic and health questionnaires and the Geriatric Depression Scale. RESULTS: Multilevel modeling was conducted using standardized RBANS index scores. Overall, across indices, performance generally improved across time consistent with practice effects from repeated testing. Some CVRFs were associated with worse performance over time. For example, individuals with hypertension performed more poorly on immediate memory over time (t = -2.06, p < .05). Other CVRFs (e.g., BMI) were not associated with baseline performance or performance over time. (p > .05). CONCLUSIONS: CVRFs differentially affect RBANS performance over time. These results extend previous cross-sectional findings regarding the impact of different cardiovascular health risks to a large, cognitively healthy, longitudinal sample.

Feasibility and validation of a web-based platform for the self-administered patient collection of demographics, health status, anxiety, depression, and cognition in community dwelling elderly.

The coronavirus disease pandemic has brought a new urgency for the development and deployment of web-based applications which complement, and offer alternatives to, traditional one-on-one consultations and pencil-and-paper (PaP) based assessments that currently dominate clinical research. We have recently developed a web-based application that can be used for the self-administered collection of patient demographics, self-rated health, depression and anxiety, and cognition as part of a single platform. In this study we report the findings from a study with 155 cognitively healthy older adults who received established PaP versions, as well as our novel computerized measures of self-rated health, depression and anxiety, and cognition. Moderate to high correlations were observed between PaP and web- based measures of self-rated health (r = 0.77), depression and anxiety (r = 0.72), and preclinical Alzheimer's disease cognitive composite (PACC) (r = .61). Test-retest correlations were variable with high correlations for a measure of processing speed and a measure of delayed episodic memory. Taken together, these data support the feasibility and validity of utilization of this novel web-based platform as a new alternative for collecting patient demographics and the assessment of self-rated health, depression and anxiety, and cognition in the elderly.

Disaster stressors and psychological well-being in older adults after a flood.

We examined the inoculation and stress sensitization explanations concerning mental health outcomes in 223 predominately middle-aged and older adults after a flood (M age = 49.6 years, SD = 17.7 years, range: 18-88 years). In multiple linear regression models, having flood damage was associated with higher levels of posttraumatic stress disorder (PTSD) and depressive symptoms, while social support was associated with fewer symptoms. Greater lifetime trauma and flood-related stress were associated with more symptoms of depression and PTSD, respectively. Older age was associated with more religious coping and fewer depressive and worry symptoms. Future directions for research on postdisaster vulnerabilities and resilience are discussed. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Neuroimaging, Behavioral, and Gait Correlates of Fall Profile in Older Adults.

Prior research has suggested that measurements of brain functioning and performance on dual tasks (tasks which require simultaneous performance) are promising candidate predictors of fall risk among older adults. However, no prior study has investigated whether brain function measurements during dual task performance could improve prediction of fall risks and whether the type of subtasks used in the dual task paradigm affects the strength of the association between fall characteristics and dual task performance. In this study, 31 cognitively normal, community-dwelling older adults provided a self-reported fall profile (number of falls and fear of falling), completed a gait dual task (spell a word backward while walking on a GaitRite mat), and completed a supine dual task (rhythmic finger tapping with one hand while completing the AX continuous performance task (AX-CPT) with the other hand) during functional magnetic resonance imaging (fMRI). Gait performance, AX-CPT reaction time and accuracy, finger tapping cadence, and brain functioning in finger-tapping-related and AX-CPT-related brain regions all showed declines in the dual task condition compared to the single task condition. Dual-task gait, AX-CPT and finger tapping performance, and brain functioning were all independent predictors of fall profile. No particular measurement domain stood out as being the most strongly associated measure with fall variables. Fall characteristics are determined by multiple factors; brain functioning, motor task, and cognitive task performance in challenging dual-task conditions all contribute to the risk of falling.

Relationships between multiple dimensions of executive functioning and resting-state networks in adults.

The current study sought to examine the functional connectivity of resting state networks (RSNs) as they relate to the individual domains of executive functioning (EF). Based on the Unity and Diversity model (Miyake et al., 2000), EF performance was captured using a three-factor model proposed by Karr et al. (2018), which includes inhibition, shifting, and fluency. Publicly available data was used from the Nathan Kline Institute -Rockland project was used. Of the 722 participants who completed the Delis-Kaplan Executive Function System (D-KEFS), which was used to measure EF performance, 269 of these individuals completed resting state fMRI scans. First, a confirmatory factory analysis replicated Karr et al. (2018) revealing three components: inhibition, shifting and fluency. Next, RSNs were identified across the sample using an Independent Components Analysis (ICA) and was compared to previously established intrinsic connectivity networks (Laird et al., 2011). Finally, dual regression was used to analyze the relationships between the functional connectivity of RSNs and EF performance, which indicated that RSNs were differentially associated with inhibition and shifting. Better inhibition was related to increased connectivity between the left striatum and the attentional control network. Better shifting performance was related to increased connectivity between the pre- and postcentral gyri and the speech and sensorimotor network. These results highlight individual differences within these RSNs that are unique to the literature, as non-EF confounds are mitigated within the current measurements of EF performance.

Acceptability and Feasibility of a Multicomponent Telehealth Care Management Program in Older Adults With Advanced Dementia in a Residential Memory Care Unit.

The aim of the current study was to examine the acceptability and feasibility of a multicomponent care management program in older adults with advanced dementia in a long-term memory care unit. Eighteen older adults with moderate to severe dementia were asked to wear an activity monitor (Fitbit Charge 2 HR) and participate in a once monthly telehealth intervention via iPads over a 6-month period. Activity monitor data were used to assess compliance. Acceptability was assessed through qualitative interviews conducted with the caregiving staff on the memory unit. The care management program was acceptable to residents and their caregivers. Results indicated that the care management program is feasible in older adults with advanced dementia although activity monitor adherence was better during the day than at night. Telehealth session compliance was excellent throughout the study. A long-term multicomponent dementia care program is acceptable and feasible in individuals with advanced dementia. Future studies should aim to evaluate whether data received from activity monitors can be used in a dementia care intervention program.

A multi-study examination of performance validity in undergraduate research participants.

Objective: Performance validity testing is a necessary practice when conducting research with undergraduate students, especially when participants are minimally incentivized to provide adequate effort. However, the failure rate on performance validity measures in undergraduate samples has been debated with studies of different measures and cutoffs reporting results ranging from 2.3 to 55.6%. Method: The current study examined multiple studies to investigate failures on performance validity measures in undergraduate students, and how these rates are influenced by liberal and conservative cutoffs. Failure rates were calculated using standalone performance validity tests (PVTs) and embedded validity indices (EVIs) from eight studies conducted at two universities with over one thousand participants. Results: Results indicated that failure rates in standalone PVTs were up to four times greater when using liberal versus conservative cutoffs. EVI rates varied for conservative versus liberal cutoffs with some measures showing almost no difference and others showing 10 times greater failure rates. Conclusions: Findings provide further descriptive data on the base rate of validity test failure in undergraduate student samples and suggest that EVIs might be more sensitive to alterations made in cutoff scores than standalone PVTs. Overall, these results highlight the variability in failure rates across different measures and cutoffs that researchers might employ in any individual study.