Social Determinants of Health: Associations Between Dichotomous Versus Dimensional Scores, Neuropsychological Test Performance, and Psychiatric Symptoms.

This study examined the utility of dichotomous versus dimensional scores across two measures of social determinants of health (SDOH) regarding their associations with cognitive performance and psychiatric symptoms in a mixed clinical sample of 215 adults referred for neuropsychological evaluation (Mage = 43.91, 53.5% male, 44.2% non-Hispanic White). Both dimensional and dichotomous health literacy scores accounted for substantial variance in all cognitive outcomes assessed, whereas dimensional and dichotomous adverse childhood experience scores were significantly associated with psychiatric symptoms. Tests of differences between correlated correlations indicated that correlations with cognitive and psychiatric outcomes were not significantly different across dimensional versus dichotomous scores, suggesting that these operationalizations of SDOH roughly equivalently characterize risk of poorer cognitive performance and increased psychiatric symptoms. Results highlight the necessity of measuring multiple SDOH, as different SDOH appear to be differentially associated with cognitive performance versus psychiatric symptoms. Furthermore, results suggest that clinicians can use cut-scores when characterizing patients' risk of poor cognitive or psychiatric outcomes based on SDOH.

Do demographic factors influence detection of invalid neuropsychological test performance using common performance validity tests? A multisite investigation.

OBJECTIVE: This study examined the extent to which demographic variables (i.e., age, education, premorbid IQ, sex, ethnoracial identity, and presence/absence of external incentive) affect performance validity test (PVT) performance. METHOD: This cross-sectional study examined two distinct, diverse outpatient clinical samples at an academic medical center (AMC, N = 268) and a Veterans Affairs (VA) medical center (N = 111). All patients completed a battery including five PVTs. Premorbid IQ was assessed using the Test of Premorbid Functioning (TOPF) in the AMC sample. RESULTS: Multiple correlations between demographic variables and individual PVT performance were statistically significant, but accompanying effect sizes were small, except for the relationship of premorbid IQ and reliable digit span (RDS). Regressions showed demographic variables accounted for 7%-11% of the variance in individual PVT scores in the AMC sample, and 6%-26% in the VA sample, premorbid IQ driving results in the AMC sample and compensation-seeking status in the VA sample. Other demographic variables did not correlate with compensation-seeking status. Additionally, premorbid IQ was found to be significantly higher in validly performing individuals compared to those performing invalidly in the AMC sample. CONCLUSION: Most demographic factors evaluated accounted for relatively little variance in individual PVT performance and did not significantly predict overall validity categorization. Compensation-seeking status correlated with validity classification across both groups, but offers limited diagnostic utility itself compared to objective PVT scores. Premorbid IQ within the AMC group demonstrated influence on particular PVTs (i.e., RDS) reflecting the difficulty of assessing validity within low IQ populations, particularly with PVTs more strongly correlated with IQ. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

The impact of visual memory impairment on Victoria Symptom Validity Test performance: A known-groups analysis.

OBJECTIVE: We assessed the effect of visual learning and recall impairment on Victoria Symptom Validity Test (VSVT) accuracy and response latency for Easy, Difficult, and Total Items. METHOD: A sample of 163 adult patients administered the VSVT and Brief Visuospatial Memory Test-Revised were classified as valid (114/163) or invalid (49/163) groups via independent criterion performance validity tests (PVTs). Classification accuracies for all VSVT indices were examined for the overall sample, and separately for subgroups based on visual memory functioning. RESULTS: In the overall sample, all indices produced acceptable classification accuracy (areas under the curve [AUCs] ≥ 0.79). When stratified by visual learning/recall impairment, accuracy indices yielded acceptable classification for both the unimpaired (AUCs ≥0.79) and impaired subsamples (AUCs ≥0.75). Latency indices had acceptable classification accuracy for the unimpaired subsample (AUCs ≥0.74), but accuracy and sensitivity dropped for the impaired sample (AUCs ≥0.67). CONCLUSIONS: VSVT accuracy and response latency yielded acceptable classification accuracies in the overall sample, and this effect was maintained in those with and without visual learning/recall impairment for the accuracy indices. Findings indicate that the VSVT is a psychometrically robust PVT with largely invariant cut-scores, even in the presence of bona fide visual learning/recall impairment.