Cognitive tests on which performance is unrelated to brain pathology are considered “hold” tests and are often used to estimate cognitive abilities prior to injury or disease. Amongst the most commonly used “hold” tests are measures of irregular word reading, such as the Test of Premorbid Functioning (TOPF). Measures of irregular word reading assess ability to accurately pronounce phonetic irregularities based on prior experience and word knowledge, and tend to be insensitive to most forms of brain pathology (Lezak, 2012). However, research examining whether a relationship exists between neurodegenerative diseases and decline in irregular word reading is limited. The few studies completed have demonstrated a decline in irregular word reading in neurodegenerative disease in general (Berg, Durant, Banks, & Miller, 2016) and Alzheimer’s dementia specifically (McFarlane, Welch, & Rodgers, 2006). However, no known research has been published examining whether irregular word reading and TOPF scores differ depending on cognitive classifications commensurate with DSM-V diagnoses (i.e., mild or major neurocognitive disorder, etc.), or presumed neurological etiology.

Patients were enrolled from the University of Colorado Hospital Neuropsychology Clinic. This study was a retrospective review of consecutive referrals over the age of 65 to the University of Colorado Hospital Neuropsychology Clinic from 2019 to present. The TOPF was administered along with a full neuropsychological battery and patients were clinically classified by severity of cognitive impairment (e.g., Normal, Mild Neurocognitive Disorder, Major Neurocognitive Disorder) and presumed neurologic etiology (e.g., Alzheimer’s disease (AD), Parkinson’s disease (PD), vascular cognitive impairment (VCI), and mixed dementia (AD and VCI). TOPF Raw scores were used for all analyses. Correlation analysis was conducted to determine significant relationships between various demographic variables and TOPF performance. ANCOVA analyses were conducted to examine differences on TOPF performance by diagnostic classification and differences on TOPF performance by presumed neurologic etiology.

Correlation determined a significant relationship between TOPF performance and education (r = .51, p < .001), but not age (p = .092) or gender (p = .680). ANCOVA revealed a significant effect of TOPF performance on diagnostic group classification after controlling for education, F(2, 504)= 26.45, p < .001. Post hoc analysis revealed that those diagnosed with Major Neurocognitive Disorder performed the worst on the TOPF (M=39.801 ± .958), followed by those diagnosed with Mild Neurocognitive Disorder (M= 45.371 ± .767), while those diagnosed as cognitively normal performed the best (M= 49.826 ± .993). Additional ANCOVA analysis revealed a significant effect of TOPF performance on presumed neurologic etiology after controlling for education, F(3,148)=6.07, p = .001. Post hoc analyses revealed that participants with suspected AD (M= 40.728 ± 1.613) and those with suspected VCI (M= 32.804 ± 3.480) performed worse on the TOPF compared to those with suspected PD (M=46.964 ± 1.506), (p=.042 and p = .004, respectively).

Results suggest that TOPF performance in older individuals is sensitive to cognitive impairment. Furthermore, these results suggest that this sensitivity may be further influenced by presumed neurologic etiology. These findings are consistent with prior studies which demonstrated a decline in irregular word reading in individuals with neurodegenerative diseases.

Health literacy is the degree to which an individual is able to attain, process, and understand information, skills, and services required to make informed decisions. Limited health literacy is a risk factor for problems understanding health information and adhering to medical instructions, underuse of preventive services, increased hospitalizations and associated medical costs, and higher mortality rates. Recognizing individuals with reduced health literacy can be difficult given demographic information such as age or years of education do not reliably reflect an individual’s health literacy level. Cross-sectional studies have identified limited health literacy as associated with lower scores on cognitive tests measuring memory, executive function (EF), and processing speed, independent from the influence of demographic variables (e.g., age, race, education). This study assessed the association of objective measures of executive functioning and health literacy when controlling for premorbid estimated intellectual functioning and relevant demographic variables.

A sample of 44 adult patients (20 Male; 24 Female) referred for neuropsychological evaluation for memory complaints who were administered the Test of Premorbid Functioning (TOPF), and multiple measures of EF including the Trail Making Test - Part B (TMT-B), Stroop Color and Word Test (SCWT), and Letter (FAS) and Semantic (Animals) Fluency as part of part of a larger standardized battery. Patients were also administered the Short Assessment of Health Literacy-English (SAHL-E). All included patients had <2 performance validity test failures. The sample was 50% non-Hispanic Black, 31.8% non-Hispanic White, 15.9% Hispanic, 2.3% Asian/Pacific Islander, and 54.5% female. Diagnostically, 50.9% of the sample were cognitively normal, 36.4% had mild cognitive impairment, and 15.9% had dementia. Two multiple regressions were conducted to evaluate (1) the predictive power of EF on the SAHL-E, and (2) the moderating impact of estimated premorbid IQ and demographics via the TOPF on the relationship between EF and SAHL-E.

The first regression was not significant (p=.168) with FAS as the only independent predictor of SAHL-E performance (ß=.387, p<.05). The overall model was significant with the addition of the TOPF (p<.001). FAS accounted for 29% (ß=.336, p<.05) of the variance in SAHL-E when controlling for TOPF and other measures of EF.

These results indicate that novel generativity is a significant predictor of health literacy beyond the influence of estimated premorbid intelligence and demographic factors. Importantly, these findings suggest that broadly speaking EF abilities have minimal impact on health literacy, although reduced verbal generativity to letter cues is associated with reduced health literacy. Identification of at-risk populations such as individuals with limited health literacy is clinically important and can make way for early intervention. Health information targeted at this at-risk population should go beyond vocabulary and more specifically reduce the burden on verbal fluency.

Health numeracy is the understanding and application of information conveyed with numbers, tables and graphs, and probabilities in order to effectively manage one's own healthcare. Health numeracy is a vital aspect of communicating with healthcare providers and participating in one's own medical decision making, which is especially important in aging populations. Current literature indicates that assessing and establishing one's health numeracy abilities is among the first steps in providing necessary resources and accommodating patients' individual needs. Additionally, older adults with diffuse cognitive impairment often have issues with facets of executive functioning; however, the extant literature does not discuss the role of executive functioning in relation to health numeracy in this population. The purpose of this study was to explore the relationship between performance on tasks of executive functioning and objectively-measured health numeracy abilities in older adult patients.

This study included a sample of 42 older adult patients referred for neuropsychological evaluation for memory complaints who were administered the Test of Premorbid Functioning (TOPF), Trail Making Test - Part B (TMT-B), and Stroop Color and Word Test (SCWT Color Word Interference [CWI]) as part of a larger standardized battery. Patients were also administered the Numerical Understand in Medicine Instrument - Short Form (NUMI-SF). All included patients had <2 performance validity test failures. The sample was racially diverse (47.6% Black, 35.7% White, 14.3% Hispanic, 2.4% Asian) and 54.8% female. Average age was 62.95 (SD= 8.6) and average education was 14.1 (SD=2.7). Diagnostically, 47.6% of the sample were cognitively normal, 33.3% had mild cognitive impairment, and 19.0% had dementia. Average NUMI-SF score was 4.79 (SD= 1.7). Two multiple regressions were conducted to evaluate the extent to which executive functioning, as measured by the TMT-B and SCWT CWI predicted NUMI-SF, and the additive predictive power of premorbid IQ and demographics via the TOPF on the relationship between executive functioning and NUMI-SF.

The first regression, which measured the relationship between the TMT-B and SCWT CWI upon NUMI-SF scores, was not significant (p=.616). The model was significant with the addition of the TOPF (ß=.595, p<.001) and TOPF alone predicted ∼60% of the variance in NUMI-SF score, while TMT-B and SCWT CWI remained non-significant.

These results indicate that common measures of executive functioning are not reliable predictors of health literacy with or without the moderating of premorbid intellectual functioning taken into consideration. This suggests that health numeracy is likely to be minimally affected by deficits in executive functioning and rather may be better accounted for by premorbid intellectual functioning and/or other sociodemographic factors (e.g. socioeconomic status, education quality, occupation). Future studies will benefit from elucidating the contributions of other social determinant factors on predicting health numeracy.

Previous research has found that measures of premorbid intellectual functioning may be predictive of performance on memory tasks among older adults (Duff, 2010). Intellectual functioning itself is correlated with education. The purpose of this study was to investigate the incremental validity of a measure of premorbid intellectual functioning over education levels to predict performance on the Virtual Environment Grocery Store (VEGS), which involves a simulated shopping experience assessing learning, memory, and executive functioning.

Older adults (N = 118, 60.2% female, age 60-90, M = 73.51, SD = 7.46) completed the Wechsler Test of Adult Reading and the VEGS.

WTAR and education level explained 9.4% of the variance in VEGS long delay free recall, F = 5.97, p = 0.003). WTAR was a significant predictor (ß = 0.25, p = 0.006), while level of education was not.

These results suggest that crystalized intelligence may benefit recall on a virtual reality shopping task.

Premorbid dysfunction during childhood and adolescence is well documented in patients with schizophrenia. Literature pointed out multiple premorbid trajectories leading to different patients’ cognitive status, symptomatology, and global functioning after disease onset. This study aimed at identifying groups of premorbid trajectories and disentangling between group differences in clinical and cognitive measures, focusing on theory of mind (ToM) and autistic traits (ATs).

Ninety-seven patients with schizophrenia were recruited and assessed for cognitive and ToM abilities, psychopathology, and ATs. A two-step cluster analysis identified three different groups of patients based on premorbid adjustment during childhood, adolescence, and late adolescence (i.e., stable-good, stable-poor, and “deteriorating”).

Compared to 66 healthy controls, results showed a widespread impairment in cognitive and ToM abilities among all groups of patients, except for affective ToM and executive functions in the stable-good group. Moreover, the stable-poor group exhibited more pronounced ATs and a more severe ToM impairment, compared to the other two groups of patients.

Our findings highlight the existence of a group of patients with poor premorbid adjustment since childhood, more pronounced ATs and a severe ToM impairment affecting those basic mentalizing skills that are usually preserved in schizophrenia. Results might have intriguing implications in identifying underpinning endophenotypes and implementing cutting-edge rehabilitation programs.