Construction of a computerized adaptive test (CAT-CCNB) for efficient neurocognitive and clinical psychopathology assessment.

BACKGROUND: Traditional paper-and-pencil neurocognitive evaluations and semi-structured mental health interviews can take hours to administer and score. Computerized assessment has decreased that burden substantially, and contemporary psychometric tools such as item response theory and computerized adaptive testing (CAT) allow even further abbreviation. NEW METHOD: The goal of this paper was to describe the application of CAT and related methods to the Penn Computerized Neurocognitive Battery (CNB) and a well-validated clinical assessment in order to increase efficiency in assessment and relevant domain coverage. To calibrate item banks for CAT, N = 5053 participants (63% female; mean age 45 years, range 18-80) were collected from across the United States via crowdsourcing, providing item parameters that were then linked to larger item banks and used in individual test construction. Tests not amenable to CAT were abbreviated using complementary short-form methods. RESULTS: The final "CAT-CCNB" battery comprised 21 cognitive tests (compared to 14 in the original) and five adaptive clinical scales (compared to 16 in the original). COMPARISON WITH EXISTING METHODS: This new battery, derived with contemporary psychometric approaches, provides further improvements over existing assessments that use collections of fixed-length tests developed for stand-alone administration. The CAT-CCNB provides an improved version of the CNB that shows promise as a maximally efficient tool for neuropsychiatric assessment. CONCLUSIONS: We anticipate CAT-CCNB will help satisfy the clear need for broad yet efficient measurement of cognitive and clinical domains, facilitating implementation of large-scale, "big science" approaches to data collection, and potential widespread clinical implementation.

Slower gait speed increases risk of falling in older adults with depression and cognitive complaints.

Slowed gait is one of the strongest predictors of fall risk in older adults. The present study investigated whether gait speed mediated the relationship between depression and fall history in 147 older adults presenting to a memory clinic for cognitive complaints. Depression, cognitive status, gait speed, and number of falls within the last year were the primary measures. Results revealed fallers, relative to non-fallers, had slower gait speed and higher depression scores. As hypothesized, analyses using the PROCESS macro found that gait mediated the relationship between depression and fall history. Additionally, the combination of depression and mild cognitive impairments (MCI) associated with a significantly greater likelihood of falling. Our findings indicate that combined depression and MCI have additive effects on fall risk, likely through the destabilizing effect of slowed gait on balance. Better understanding the underlying pathophysiology involved in MCI and depression-related gait disturbances may lead to improved intervention targets for fall risk prevention.

Are Adverse Childhood Experiences Associated with Worse Cognitive Function in Older Adults?

OBJECTIVES: Adverse childhood experiences (ACE) are associated with an increased risk for dementia, but this relationship and modifying factors are poorly understood. This study is the first to our knowledge to comprehensively examine the effect of ACE on specific cognitive functions and measures associated with greater risk and resiliency to cognitive decline in independent community-dwelling older adults. METHODS: Verbal/nonverbal intelligence, verbal memory, visual memory, and executive attention were assessed. Self-report measures examined depression, self-efficacy, and subjective cognitive concerns (SCC). The ACE questionnaire measured childhood experiences of abuse, neglect, and household dysfunction. RESULTS: Over 56% of older adults reported an adverse childhood event. ACE scores were negatively associated with income and years of education and positively associated with depressive symptoms and SCC. ACE scores were a significant predictor of intellectual function and executive attention; however, these relationships were no longer significant after adjusting for education. Follow-up analyses using the PROCESS macro revealed that relationships among higher ACE scores with intellectual function and executive attention were mediated by education. CONCLUSIONS: Greater childhood adversity may increase vulnerability for cognitive impairment by impacting early education, socioeconomic status, and mental health. These findings have clinical implications for enhancing levels of cognitive reserve and addressing modifiable risk factors to prevent or attenuate cognitive decline in older adults.