Poorer Inhibitory Control Uniquely Contributes to Greater Functional Disability in Post-9/11 Veterans.

OBJECTIVE: Post-9/11 Veterans endorse greater self-reported functional disability than 80% of the adult population. Previous studies of trauma-exposed populations have shown that increased post-traumatic stress disorder (PTSD) and depressive symptoms are consistently associated with greater disability. Additionally, poorer cognitive performance in the domain of executive functions, particularly inhibitory control, has been associated with disability, though it is unclear if this effect is independent of and/or interacts with PTSD and depression. METHOD: Three overlapping samples of n = 582, 297, and 183 combat-deployed post-9/11 Veterans completed comprehensive assessments of executive functions, PTSD and depressive symptoms, and self-reported World Health Organization Disability Assessment Schedule-II (WHODAS II). RESULTS: Poorer performance on measures of inhibitory control (Delis-Kaplan Executive Functioning System Color-Word Interference-CWI Test and gradual-onset Continuous Performance Test-gradCPT), but not other executive functions, were significantly associated with greater disability on the WHODAS II (ρ's = -.13 and -.13, p = .002 and .026, respectively). CWI inhibitory control measures accounted for unique variance in disability after controlling for PTSD and depressive symptoms (R2 change = 0.02, p < .001). Further, CWI significantly moderated the effect of depressive symptoms on disability, such that better inhibitory control weakened the relationship between depression and disability. CONCLUSIONS: Inhibitory control deficits are uniquely associated with increased disability in combat-deployed post-9/11 Veterans, and better inhibitory control abilities may serve as a protective factor for depressive symptoms leading to increased disability.

The Survey for Memory, Attention, and Reaction Time (SMART): Preliminary normative online panel data and user attitudes for a brief web-based cognitive performance measure.

ObjectiveThe Survey for Memory, Attention, and Reaction Time (SMART) was recently introduced as a brief (<5 min), self-administered, web-based measure of cognitive performance in older adults. The purpose of this study was threefold: (1) to develop preliminary norms on the SMART; (2) to examine the relationship between demographic variables (i.e. age, sex, education), device type used, and SMART performance; and (3) to assess user attitudes of the SMART. Method A sample of 1,050 community-dwelling adults (M age =59.5 (15.2), M education = 16.5 (2.1), 67.1% female, 96% white) was recruited from an ongoing web-based research cohort. Participants completed the SMART, which consists of four face-valid cognitive tasks assessing visual memory, attention/processing speed, and executive functioning. SMART performance outcome metrics were subtest completion time (CT), click count, and total CT. Participants provided demographic information and completed a survey of user attitudes toward the SMART (i.e. usability, acceptability). Results Older age was the only demographic variable associated with slower SMART total CT (r = .60, p <.001). Education was not associated with SMART CT or click counts overall (p > .05). Male sex was generally associated with longer SMART CT (p < .001, partial eta squared = .14) on all sub-tests. Regarding acceptability, 97.3% indicated willingness to take the SMART again, with more than half willing to complete it on a weekly basis. Conclusion The preliminary normative data on the SMART indicates that it is a feasible and well-accepted web-based cognitive assessment tool that can be administered on multiple device platforms.

Cognitive and psychological improvements following CogSMART in veterans with mental health diagnoses.

INTRODUCTION: The present study examined the efficacy of a CogSMART-based program in improving cognitive and emotional functioning in a clinic-based sample of Veterans presenting with cognitive concerns and history of mental health diagnoses. METHOD: Forty Veterans (Mage = 61.2 years, 85% male) completed a weekly CogSMART-based group program as well as a battery of neuropsychological and psychological measures at both pre- and post-group evaluations. Participants met DSM-5 criteria for at least one mental health diagnosis. RESULTS: Significant improvements on global cognition as well as measures of learning/memory and attention were observed from pre- to post-group (p < .05, cohen's d range = .48-1.01). As many as 33.3% of participants showed significant improvement, depending on the cognitive domain. Significant overall improvements were observed in depression symptoms and life satisfaction (p < .01, cohen's d = .67 and .59, respectively). Over one-third of the sample demonstrated a reliable improvement in depressive symptoms, 25% in anxiety symptoms, and 18% in life satisfaction. CONCLUSIONS: Among individuals with mental health diagnosis but without major neurocognitive disorders, CogSMART-based interventions may be an effective treatment for improving aspects of cognition, depression, and life satisfaction.

Post-traumatic stress disorder and depression are uniquely associated with disability and life dissatisfaction in post-9/11 veterans.

Veterans who served in post-9/11 conflicts and experience deployment trauma sequelae frequently endorse disability and dissatisfaction with life. Although correlated, disability and life dissatisfaction represent distinct constructs with separate implications for quality of life. We examined associations between deployment trauma sequelae, disability and life dissatisfaction in 288 post-9/11 Veterans. Participants completed assessments of psychiatric, somatic and social functioning. Self-reports evaluating disability and life dissatisfaction were used to group participants based on established criteria (i.e., Disability and Dissatisfaction, Disability Only, Dissatisfaction Only, or No Disability or Dissatisfaction). Multinomial logistic regressions revealed that greater post-traumatic stress disorder (PTSD) and depressive symptom severity were independently associated with increased odds of being in the Disability and Dissatisfaction group, the Disability Only group and the Dissatisfaction Only group, relative to the No Disability or Dissatisfaction group. Number of prior mild traumatic brain injuries (mTBI) was not associated with disability or dissatisfaction after accounting for other trauma sequelae. Social support attenuated the relationship between depression and membership in the Disability and Dissatisfaction group. Participants who reported greater dissatisfaction than disability endorsed greater depression and mTBI frequency. Overall, PTSD and depression convey a heightened risk of both disability and life dissatisfaction, while social support may be protective.

Associations between changes in somatic and psychiatric symptoms and disability alterations in recent-era U.S. veterans.

Cross-sectional work suggests that deployment-related posttraumatic sequelae are associated with increased disability in U.S. veterans deployed following the September 11, 2001 (9/11), terrorist attacks. However, few studies have examined the psychiatric and somatic variables associated with changes in functional disability over time. A total of 237 post-9/11 veterans completed comprehensive assessments of psychiatric and cognitive functioning, as well as a disability questionnaire, at baseline and 2-year follow-up. At baseline, higher levels of PTSD, depressive, and pain-related symptoms were associated with baseline global functional disability, semipartial r2 = .036-.044. Changes in symptoms of PTSD, depression, pain, and sleep, but not anxiety or alcohol use, were independently associated with changes in functional disability, semipartial r2 = .017-.068. Baseline symptoms of these conditions were unrelated to changes in disability, and cognitive performance was unrelated to disability at any assessment point. Together, this suggests that changes in psychiatric and somatic symptoms are tightly linked with changes in functional disability and should be frequently monitored, and even subclinical symptoms may be a target of intervention.

Driving Performance in Older Adults: Current Measures, Findings, and Implications for Roadway Safety.

BACKGROUND AND OBJECTIVES: Over 10,000 people a day turn 65 in the United States. For many older adults, driving represents an essential component of independence and is one of the most important factors in overall mobility. Recent survey studies in older adults suggest that up to 60% of older adult drivers with mild cognitive impairment, and up to 30% with dementia, continue to drive. The purpose of this review is to provide a comprehensive and detailed resource on the topics of cognition and driving for clinicians, researchers, and policymakers working on efforts related to older adult drivers. RESEARCH DESIGN AND METHODS: Publications on PubMed and Medline and discussions with experts working in geriatrics, technology, driving policy, psychology, and diverse aspects of driving performance were utilized to inform the current review. RESULTS: Research indicates that there is a complex and inverse correlation between multiple cognitive measures, driving performance, and risky driving behaviors. The fragmented nature of available peer-reviewed literature, and a reliance on correlative data, do not currently allow for the identification of the temporal and reciprocal nature of the interplay between cognition and driving endpoints. DISCUSSION AND IMPLICATIONS: There are currently no widely accepted definitions, conceptual models, or uniform set of analyses for conducting geriatric research that is focused on driving. Establishing conventions for conducting research that harmonizes the fields of geriatrics, cognition, and driving research is critical for the development of the evidence base that will inform clinical practice and road safety policy.

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.

Age Predicts Older Adults' Driving Self-Regulation but Not Dangerous Driving Behaviors after Controlling for Executive Function.

OBJECTIVES: The aim of the study was to examine the unique contributions of age to objectively measure driving frequency and dangerous driving behaviors in healthy older adults after adjusting for executive function (EF). METHOD: A total of 28 community-dwelling older adults (mean age = 82.0 years, standard deviation [SD] = 7.5) without dementia who were in good physical health and enrolled in a longitudinal aging study completed several EF and clinical self-report measures at baseline. Participants subsequently had a sensor installed in their vehicle for a mean of 208 (SD = 38, range = 127-257) days. RESULTS: Participants drove for an average of 54 min per day. Mixed-effects models indicated that after controlling for EF, older age was associated with less time driving per day, decreased number of trips, and less nighttime driving. Age was not associated with hard brakes or hard accelerations. DISCUSSION: After accounting for EF, greater age is associated with higher driving self-regulation but not dangerous driving behaviors in healthy older adults. Future studies should recruit larger samples and collect sensor-measured driving data over a more extended time frame to better determine how and why these self-regulation changes take place.

Unobtrusive, in-home assessment of older adults' everyday activities and health events: associations with cognitive performance over a brief observation period.

In-home assessment of everyday activities over many months to years may be useful in predicting cognitive decline in older adulthood. This study examined whether a comparatively brief data collection period (3 months) may yield similar diagnostic information. A total of 91 community-dwelling older adults without dementia underwent baseline neuropsychological testing and completed weekly computer-based surveys assessing health-related events/activities. A subset of participants wore fitness tracker watches assessing daily sleep and physical activity patterns, used a sensor-instrumented pillbox, and had their computer use frequency recorded on a daily basis. Similar patterns in computer use, sleep and medication use were noted in comparison to prior literature with more extensive data collection periods. Greater computer use and sleep, as well as self-reported pain and independence, were also linked to better cognition. These activities and symptoms may be useful correlates of cognitive function even when assessed over a relatively brief monitoring period.

Multimethod assessment of driving in older adults using a novel driving simulator.

Driving simulators may be an effective means of assessing driving performance, however many are cost-prohibitive. The present pilot study examined whether a novel, cost-effective driving simulator (Assetto Corsa (AC)) may be useful in the evaluation of older adults' driving performance, and explore associations among various driving safety indicators. A community sample of older adults completed a battery of cognitive measures, several self-reported driving measures, and a novel driving simulator task (AC). Simple attention, executive functioning, and processing speed were associated with simulator performance variables. Lower self-rated driving safety was associated with slower simulated driving. Additionally, several cognitive domains were associated with perceptions about driving-related safety and driving-related legal repercussions (e.g., traffic tickets). Findings suggested that associations between cognitive tests with AC were less robust than those found in other simulator studies. Novel associations between cognitive performance and self-reported driving were identified; however, given the small sample size of this study, such associations should be explored further.

Older Adults' Daily Activity and Mood Changes Detected During the COVID-19 Pandemic Using Remote Unobtrusive Monitoring Technologies.

BACKGROUND AND OBJECTIVES: The coronavirus disease 2019 (COVID-19) pandemic has limited older adults' access to in-person medical care, including screenings for cognitive and functional decline. Remote, technology-based tools have shown recent promise in assessing changes in older adults' daily activities and mood, which may serve as indicators of underlying health-related changes (e.g., cognitive decline). This study examined changes in older adults' driving, computer use, mood, and travel events prior to and following the COVID-19 emergency declaration using unobtrusive monitoring technologies and remote online surveys. As an exploratory aim, the impact of mild cognitive impairment (MCI) on these changes was assessed. RESEARCH DESIGN AND METHODS: Participants were 59 older adults (41 cognitively intact and 18 MCI) enrolled in a longitudinal aging study. Participants had their driving and computer use behaviors recorded over a 5-month period (75 days pre- and 76 days post-COVID emergency declaration) using unobtrusive technologies. Measures of mood, overnight guests, and frequency of overnight travel were also collected weekly via remote online survey. RESULTS: After adjusting for age, gender, and education, participants showed a significant decrease in daily driving distance, number of driving trips, highway driving, and nighttime driving, post-COVID-19 as compared to pre-COVID-19 (p < .001) based on generalized estimating equation models. Further, participants spent more time on the computer per day post-COVID-19 (p = .03). Participants endorsed increases in blue mood (p < .01) and loneliness (p < .001) and decreases in travel away from home and overnight visitors (p < .001) from pre- to post-COVID-19. Cognitive status did not impact these relationships. DISCUSSION AND IMPLICATIONS: From pre- to post-COVID-19 emergency declaration, participants drove and traveled less, used their computer more, had fewer overnight visitors, and reported greater psychological distress. These results highlight the behavioral and psychological effects of stay-at-home orders on older adults who are cognitively intact and those with MCI.

On-road driving test performance in veterans: Effects of age, clinical diagnosis and cognitive measures.

INTRODUCTION: Veterans are at heightened risk of being in a motor-vehicle crash and many fail on-road driving evaluations, particularly as they age. This may be due in part to the high prevalence of age-associated conditions impacting cognition in this population, including neurodegenerative diseases (e.g., Alzheimer's Disease) and acquired neurological conditions (e.g., cerebrovascular accident). However, understanding of the impact of referral diagnosis, age and cognition on Veterans' on-road driving performance is limited. METHODS: 109 Veterans were referred for a driving evaluation (mean age = 72.0, SD = 11.5) at a driving assessment clinic at the Minneapolis Veterans Affairs Healthcare System. Of the 109 Veterans enrolled, 44 were referred due to a neurodegenerative disease, 37 due to an acquired neurological condition, and 28 due to a non-neurological condition (e.g., vision loss). Veterans completed collection of health history information and administration of cognitive tests assessing visual attention, processing speed, and executive functioning, as well as a standardized, on-road driving evaluation. RESULTS: A total of 17.9% of Veterans failed the on-road evaluation. Clinical diagnostic group was not associated with failure rate. Age was not associated with failure rates in the full sample or within diagnostic groups. After controlling for age, poorer processing speed and selective/divided attention were associated with higher failure rates in the full sample. No cognitive tests were associated with failure rates within diagnostic groups. CONCLUSION: Referral diagnosis and age alone are not reliable predictors of Veterans' driving performance. Cognitive performance, specifically speed of processing and attention, may be helpful in screening Veterans' driving safety. Practical Applications: Clinicians tasked with assessing Veterans' driving safety should take into account cognitive performance, particularly processing speed and attention, when making decisions regarding driving safety. Age and referral diagnosis, while helpful information, are insufficient to predict outcomes on driving evaluations.

Passively-Measured Routine Home Computer Activity and Application Use Can Detect Mild Cognitive Impairment and Correlate with Important Cognitive Functions in Older Adulthood.

BACKGROUND: Computer use is a cognitively complex instrumental activity of daily living (IADL) that has been linked to cognitive functioning in older adulthood, yet little work has explored its capacity to detect incident mild cognitive impairment (MCI). OBJECTIVE: To examine whether routine home computer use (general computer use as well as use of specific applications) could effectively discriminate between older adults with and without MCI, as well as explore associations between use of common computer applications and cognitive domains known to be important for IADL performance. METHODS: A total of 60 community-dwelling older adults (39 cognitively healthy, 21 with MCI) completed a neuropsychological evaluation at study baseline and subsequently had their routine home computer use behaviors passively recorded for three months. RESULTS: Compared to those with MCI, cognitively healthy participants spent more time using the computer, had a greater number of computer sessions, and had an earlier mean time of first daily computer session. They also spent more time using email and word processing applications, and used email, search, and word processing applications on a greater number of days. Better performance in several cognitive domains, but in particular memory and language, was associated with greater frequency of browser, word processing, search, and game application use. CONCLUSION: Computer and application use are useful in identifying older adults with MCI. Longitudinal studies are needed to determine whether decreases in overall computer use and specific computer application use are predictors of incident cognitive decline.

The Survey for Memory, Attention, and Reaction Time (SMART): Development and Validation of a Brief Web-Based Measure of Cognition for Older Adults.

INTRODUCTION: Brief, Web-based, and self-administered cognitive assessments hold promise for early detection of cognitive decline in individuals at risk for dementia. The current study describes the design, implementation, and convergent validity of a fWeb-based cognitive assessment tool, the Survey for Memory, Attention, and Reaction Time (SMART), for older adults. METHODS: A community-dwelling sample of older adults (n = 69) was included, classified as cognitively intact (n = 44) or diagnosed with mild cognitive impairment (MCI, n = 25). Participants completed the SMART at home using their computer, tablet, or other Internet-connected device. The SMART consists of 4 face-valid cognitive tasks available in the public domain assessing visual memory, attention/processing speed, and executive functioning. Participants also completed a battery of standardized neuropsychological tests, a cognitive screener, and a daily function questionnaire. Primary SMART outcome measures consisted of subtest completion time (CT); secondary meta-metrics included outcomes indirectly assessed or calculated within the SMART (e.g., click count, total CT, time to complete practice items, and time of day the test was completed). RESULTS: Regarding validity, total SMART CT, which includes time to complete test items, practice items, and directions, had the strongest relationship with global cognition (ß = -0.47, p < 0.01). Test item CT was significantly greater for the MCI group (F = 5.20, p = 0.026). Of the SMART tasks, the executive functioning subtests had the strongest relationship with cognitive status as compared to the attention/processing speed and visual memory subtests. The primary outcome measures demonstrated fair to excellent test-retest reliability (intraclass correlation coefficient = 0.50-0.76). CONCLUSIONS: This study provides preliminary evidence for the use of the SMART protocol as a feasible, reliable, and valid assessment method to monitor cognitive performance in cognitively intact and MCI older adults.

Predictors of Driving Status in Service Members and Veterans at 1 Year Posttraumatic Brain Injury: A VA TBI Model Systems Study.

OBJECTIVE: To identify predictors of driving status in service members and veterans 1 year following a traumatic brain injury (TBI). SETTING: The 5 Department of Veterans Affairs (VA) Polytrauma Rehabilitation Centers (PRCs). PARTICIPANTS: A total of 471 service members and veterans (128 with mild/complicated mild TBI and 343 with moderate/severe TBI) who received TBI-focused inpatient rehabilitation at one of the VA PRCs and who participated in a 1-year postinjury follow-up assessment. DESIGN: Secondary analysis from the Department of Veterans Affairs Polytrauma Rehabilitation Centers Traumatic Brain Injury Model Systems (VA PRC TBIMS) national database. MAIN MEASURES: Primary outcome was a single item that assessed driving status at 1 year postinjury. Predictor variables included demographics; sensory impairment, substance use, and employment status at time of injury; PTSD symptoms reported at study enrollment; and functional impairment rated at rehabilitation discharge. RESULTS: In unadjusted bivariate analyses, among those with a mild/complicated mild TBI, older age and greater functional impairment were associated with lower likelihood of driving. Among those with a moderate/severe TBI, discharge to a nonprivate residence, greater functional impairment, and higher PTSD symptoms were linked to lower likelihood of driving. Adjusted multivariate analyses indicated that functional impairment was uniquely associated with driving status in both TBI severity groups. After controlling for other predictors, self-reported PTSD symptoms, particularly dysphoria symptoms, were associated with lower likelihood of driving in both severity groups. CONCLUSION: Given the significance of clinician-rated functional impairment and self-reported PTSD symptoms to the prediction of driving status 1 year post-TBI among service members and veterans, rehabilitation efforts to improve functioning and reduce negative affect may have a positive impact on driving and community integration.

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.

Evaluating the construct validity of the King-Devick test in a psychological outpatient clinical sample.

The King-Devick test (K-D) has demonstrated sensitivity as a screener measure of ocular motor and cognitive problems. Despite its empirical support in the assessment of patients with certain injuries and disorders (e.g., concussion, reading disorders), less is known about the construct validity of the K-D. This study examined this topic in an outpatient, diagnostically heterogeneous clinical sample. A total of 70 individuals seen for an outpatient psychoeducational evaluation completed the K-D in addition to measures of intellectual abilities, speeded reading ability, simple and sustained attention, and executive functioning. Pearson correlation coefficients revealed that poorer K-D performance was associated with poorer processing speed, speeded reading ability and response time to target stimuli (r = .26-.31, p < .05). K-D performance was unrelated to other intellectual abilities, other aspects of attention, or executive functioning (all p > .05). Results suggest that the K-D demonstrates good convergent and discriminant validity in a heterogeneous outpatient clinical sample including individuals with attention-deficit hyperactivity disorder, specific learning disorders, and a number of different depressive and anxiety disorders. Findings support its wider use as a measure of reading ability and processing speed in clinical contexts.

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.

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 Relationships between Multiple Self-Reported Sleep Measures and Gait Domains in Cognitively Healthy Older Adults.

BACKGROUND: Gait-related changes in older adulthood may be related to changes in cognition (e.g., executive functioning), and recent work suggests that different self-reported measures of sleep may be tied to contrasting aspects of executive functioning. However, the relationship between these self-reported sleep measures and gait domains has not been explored. Such an investigation would be useful in helping to determine which older adults might exhibit changes in gait as well as experience other gait-associated changes (e.g., increased fall risk). OBJECTIVE: To examine associations between different aspects of self-reported sleep and gait domains in a sample of cognitively healthy older adults. METHOD: A total of 423 older adults (mean age 69.9 years, range 50-92) completed self-report measures of sleep quality, daytime sleepiness, and sleep-related distress. The participants also completed an objective, electronic measure of both single-task and dual-task gait (i.e., GAITRite). Principal component analyses were used to elucidate the solution for each gait condition, and multiple linear regression was used to examine the contributions of sleep measures to variability in gait performance. RESULTS: A 5-component solution of the single-task condition and a 4-component solution of the dual-task condition were identified. Multiple linear regressions revealed that a poorer sleep quality was associated with greater single-task and dual-task asymmetry. Greater daytime sleepiness was associated with increased dual-task gait variability and postural control. After controlling for the effects of other facets of sleep, sleep-related distress was not associated with any gait domain. CONCLUSIONS: Among cognitively healthy older adults,sleep quality and daytime sleepiness, but not sleep-related distress, are associated with aspects of gait. Patients who report these symptoms should be assessed and monitored for possible changes in gait.