Mental Health Service Utilization Among Medical Students with a Perceived Need for Care.

OBJECTIVE: The authors investigated levels of perceived need for help, patterns of mental health service utilization, and barriers to care among US medical students with a focus on students who perceived a need for help but did not report service use in the past 12 months. METHODS: The authors administered an online survey to 2,868 medical students at three schools in Ohio between January and February 2020 including validated scales for psychological distress, self-stigma, and an exploration of mental health treatment. The authors used multivariable logistic regression to identify factors associated with treatment and qualitative analysis to identify common barriers to care. RESULTS: Twenty-eight percent (N = 800) of 2,868 students responded to the survey. Fifty-six percent (n = 439) of students reported a perceived need for help, while 34.6% of these respondents (n = 152) did not receive treatment. Among those with perceived need who completed the survey (n = 388), Asian students compared to non-Hispanic white students (adjusted odds ratio [aOR] = 0.45, 95% confidence interval [CI] 0.25-0.82) and those with higher self-stigma (aOR = 0.90, 95% CI 0.87-0.94) had lower odds of service use. Students told by others to seek help (aOR = 2.82, 95% CI 1.71-4.64) were the only group with higher odds of service use. The most common barriers to care were lack of time, difficulty accessing services, and stigma. CONCLUSIONS: Despite a perceived need for help, many students do not seek care and experience treatment barriers. Schools can encourage help-seeking by identifying students in need, using targeted messaging, fostering a low-stigma environment, and removing barriers.

Effect of processing speed and memory performance on classification accuracy of the dot counting test in a mixed neuropsychiatric sample.

OBJECTIVE: This study examined the impact of impairment in two specific cognitive abilities, processing speed and memory, on Dot Counting Test (DCT) classification accuracy by evaluating performance validity classification accuracy across cognitively unimpaired, single-domain impairment, and multidomain impairment subgroups within a mixed clinical sample. METHOD: Cross-sectional data were analyzed from 348 adult outpatients classified as valid (n = 284) or invalid (n = 64) based on four independent criterion performance validity tests (PVTs). Unimpaired (n = 164), single-domain processing speed impairment (n = 24), single-domain memory impairment (n = 53), and multidomain processing speed and memory impairment (n = 43) clinical subgroups were established among the valid group. Both the traditional DCT E-score and unrounded E-score were examined. RESULTS: Overall, the DCT demonstrated acceptable to excellent classification accuracy across the unimpaired (area under the curve [AUC] traditional E-score=.855; unrounded E-score=.855) and single-domain impairment groups (traditional E-score AUCs = .690-.754; unrounded E-score AUCs = .692-747). However, it did not reliably discriminate the multidomain processing speed and memory impairment group from the invalid performers (traditional and unrounded E-scores AUC = .557). CONCLUSIONS: Findings support the DCT as a non-memory-based freestanding PVT for use with single-domain cognitive impairment, with traditional E-score ≥17 (unrounded E-score ≥16.95) recommended for those with memory impairment and traditional E-score ≥19 (unrounded ≥18.08) with processing speed impairment. Moreover, results replicated previously established optimal cutoffs for unimpaired groups using both the traditional (≥14) and unrounded (≥13.84) E-scores. However, the DCT did not reliably discriminate between invalid performance and multidomain cognitive impairment, indicating caution is warranted when using the DCT with patients suspected of greater cognitive impairment.

Adverse childhood experiences, cognitive functioning, depression, and anxiety in adulthood.

BACKGROUND: Evidence suggests that adverse childhood experiences (ACEs) predict cognitive dysfunction, possibly through direct (e.g., brain structure/function changes) and indirect (e.g., increased psychopathology risk) pathways. However, extant studies have focused on young and older adults, with limited understanding of how ACEs affect cognitive health in midadulthood. OBJECTIVE: This study compared psychiatric and cognitive differences between adults at high- and low-risk of adverse health outcomes based on the ACE risk classification scheme. PARTICIPANTS AND SETTING: Adult patients (N = 211; 46.9% female; Mage = 44.1, SD = 17.1; Meducation = 13.8, SD = 3.0) consecutively referred for outpatient neuropsychological evaluation within a large, Midwestern academic medical center. METHOD: Patients were divided into high and low ACE groups based on the number of ACEs endorsed. Subsequently, a series of one-way analyses of variances were conducted to compare high versus low ACE groups on the Test of Premorbid Functioning, Wechsler Adult Intelligence Scale-Fourth Edition Digit Span Test, Trail Making Test-Parts A and B, Rey Auditory Verbal Learning Test, Beck Depression Inventory-II, and Beck Anxiety Inventory scores. RESULTS: Significant group differences were detected for anxiety and depression with the high ACE group endorsing significantly greater depression and anxiety symptoms relative to the low ACE group. High and low ACE groups did not significantly differ on any cognitive measures. CONCLUSIONS: Results indicate that an individual's psychological health, but not cognitive functioning, is impacted by the level of ACE exposure. Study findings highlight the importance of including ACE measures in neuropsychological evaluations, as it will aid in case conceptualization and tailoring treatment recommendations. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

A case report of a patient with primary familial brain calcification with a PDGFRB genetic variant.

Fahr's disease, or primary familial brain calcification (PFBC), is a rare genetic neurologic disease characterized by abnormal calcification of the basal ganglia, subcortical white matter and cerebellum. Common clinical features include parkinsonism, neuropsychiatric symptoms, and cognitive decline. Genes implicated in Fahr's disease include PDGFB, PDGFRB, SLC20A2, XPR1, MYORG, and JAM2. We present the case of a 51-year-old woman who developed subacute cognitive and behavioral changes primarily affecting frontal-subcortical pathways and parkinsonism in association with extensive bilateral calcifications within the basal ganglia, subcortical white matter, and cerebellum on neuroimaging. Relevant family history included a paternal aunt with parkinsonism at age 50. Normal parathyroid hormone and calcium levels in the patient's serum ruled out hypoparathyroidism or pseudohypoparathyroidism as causes for the intracranial calcifications. Genetic panel sequencing revealed a variant of unknown significance in the PDGFRB gene resulting in a p.Arg919Gln substitution in the tyrosine kinase domain of PDGFRB protein. To our knowledge this is the first report of a p.Arg919Gln variant in the PDGFRB gene associated with PFBC. Although co-segregation studies were not possible in this family, the location of the variant is within the tyrosine kinase domain of PDGFRB and pathogenicity calculators predict it is likely to be pathogenic. This report adds to the list of genetic variants that warrant functional analysis and could underlie the development of PFBC, which may help to further our understanding of its pathogenesis and the development of targeted therapies for this disorder.

Assessment of learning and memory impairments in adults with predominately inattentive versus combined presentation attention-deficit/hyperactivity disorder.

This cross-sectional study compared adults diagnosed with Attention-Deficit/Hyperactivity Disorder-Inattentive (ADHD-I) and ADHD-Combined (ADHD-C) presentations with a non-ADHD group on verbal and visual learning and delayed recall using the Rey Auditory Verbal Learning Test (RAVLT) and Brief Visuospatial Memory Test-Revised (BVMT-R), respectively. Data from 380 predominately college student adult outpatients were used, with 155 who met criteria for ADHD-I, 165 who met criteria for ADHD-C, and 60 who did not meet criteria for ADHD but were diagnosed with a primary depressive or anxiety disorder or received no diagnosis. Each patient was administered the RAVLT and BVMT-R as part of a comprehensive neuropsychological evaluation. Significant main effects of study group were found, such that patients with ADHD-C demonstrated worse learning and delayed recall of both verbal and visual information than patients with ADHD-I and the non-ADHD group. Patients with ADHD-I performed comparably to the non-ADHD group, apart from visual learning and delayed recall. Notably, more patients in the ADHD groups had possible or probable learning and memory impairment compared to the non-ADHD group. Findings were consistent with previous research indicating that those with ADHD exhibit poorer verbal and visual learning and delayed recall than those without ADHD.

Using the Grooved Pegboard Test as an Embedded Validity Indicator in a Mixed Neuropsychiatric Sample with Varying Cognitive Impairment: Cross-Validation Problems.

Embedded validity indicators (EVIs) derived from motor tests have received less empirical attention than those derived from tests of other neuropsychological abilities, particularly memory. Preliminary evidence suggests that the Grooved Pegboard Test (GPB) may function as an EVI, but existing studies were largely conducted using simulators and population samples without cognitive impairment. In this study we aimed to evaluate the GPB's classification accuracy as an EVI among a mixed clinical neuropsychiatric sample with and without cognitive impairment. This cross-sectional study comprised 223 patients clinically referred for neuropsychological testing. GPB raw and T-scores for both dominant and nondominant hands were examined as EVIs. A known-groups design, based on ≤1 failure on a battery of validated, independent criterion PVTs, showed that GPB performance differed significantly by validity group. Within the valid group, receiver operating characteristic curve analyses revealed that only the dominant hand raw score displayed acceptable classification accuracy for detecting invalid performance (area under curve [AUC] = .72), with an optimal cut-score of ≥106 seconds (33% sensitivity/88% specificity). All other scores had marginally lower classification accuracy (AUCs = .65-.68) for differentiating valid from invalid performers. Therefore, the GPB demonstrated limited utility as an EVI in a clinical sample containing patients with bona fide cognitive impairment.

Cognitive Performance and Psychiatric Self-Reports Across Adult Cognitive Disengagement Syndrome and ADHD Diagnostic Groups.

OBJECTIVE: Cognitive disengagement syndrome (CDS) is characterized by inattention, under-arousal, and fatigue and frequently co-occurs with attention-deficit/hyperactivity disorder (ADHD). Although CDS is associated with cognitive complaints, its association with objective cognitive performance is less well understood. METHOD: This study investigated neuropsychological correlates of CDS symptoms among 169 adults (Mage = 29.4) referred for outpatient neuropsychological evaluation following inattention complaints. We evaluated cognitive and self-report differences across four high/low CDS and positive/negative ADHD groups, and cognitive and self-report correlates of CDS symptomology. RESULTS: There were no differences in cognitive performance, significant differences in self-reported psychiatric symptoms (greater CDS symptomatology, impulsivity among the high CDS groups; greater inattention among the positive ADHD/high CDS groups; greater hyperactivity among the positive ADHD groups), significant intercorrelations within cognitive and self-report measures, nonsignificant correlations between cognitive measures and self-report measures. CONCLUSION: Findings support prior work demonstrating weak to null associations between ADHD and CDS symptoms and cognitive performance among adults.

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).

Comprehensive Analysis of MMPI-2-RF Symptom Validity Scales and Performance Validity Test Relationships in a Diverse Mixed Neuropsychiatric Setting.

The utility of symptom (SVT) and performance (PVT) validity tests has been independently established in neuropsychological evaluations, yet research on the relationship between these two types of validity indices is limited to circumscribed populations and measures. This study examined the relationship between SVTs on the Minnesota Multiphasic Personality Inventory-2-Restructured Form (MMPI-2-RF) and PVTs in a mixed neuropsychiatric setting. This cross-sectional study included data from 181 diagnostically and demographically diverse patients with neuropsychiatric conditions referred for outpatient clinical neuropsychological evaluation at an academic medical center. All patients were administered a uniform neuropsychological battery, including the MMPI-2-RF and five PVTs (i.e., Dot Counting Test; Medical Symptom Validity Test; Reliable Digit Span; Test of Memory Malingering-Trial 1; Word Choice Test). Nonsignificant associations emerged between SVT and PVT performance. Although the Response Bias Scale was most predictive of PVT performance, MMPI-2-RF SVTs generally had low classification accuracy for predicting PVT performance. Neuropsychological test performance was related to MMPI-2-RF SVT status only when overreporting elevations were at extreme scores. The current study further supports that SVTs and PVTs measure unique and dissociable constructs among diverse patients with neuropsychiatric conditions, consistent with literature from other clinical contexts. Therefore, objective evidence of symptom overreporting on MMPI-2-RF SVTs cannot be interpreted as definitively indicating invalid performance on tests of neurocognitive abilities. As such, clinicians should include both SVTs and PVTs as part of a comprehensive neuropsychological evaluation as they provide unique information regarding performance and symptom validity.

Does comorbid depression impact executive functioning (EF) in adults diagnosed with ADHD?: a comparison of EF across diagnoses in clinically-referred individuals.

INTRODUCTION: Executive functioning (EF) is a salient factor in both ADHD as well as depressive disorders. However, sparse literature has examined whether depression severity impacts EF concurrently among adults with ADHD. The goal of this study was to examine differences in EF between adult patients diagnosed with ADHD and those diagnosed with a non-ADHD primary psychopathological condition, as a function of both ADHD presentation and depression severity in a diverse clinical sample. METHOD: This crosssectional study included 404 adult patients clinically referred for neuropsychological evaluation to assist with differential diagnosis and/or treatment planning related to known or suspected ADHD. Various EF tasks and a measure of depression severity were administered. One-way MANOVA analyses were conducted to compare EF performance between individuals diagnosed with ADHD or a non-ADHD primary psychopathological condition, with additional analyses examining group differences based on ADHD presentation and depression severity. Regression analyses also examined the potential contribution of depression severity to each EF measure within each group. RESULTS: No significant EF performance differences were found when comparing individuals diagnosed with ADHD and those with a non-ADHD primary psychopathological condition, nor based on ADHD presentation. When comparing across groups using cut-offs for high or low depression, only one EF measure showed significant differences between groups. Further, depression severity generally did not predict reduced EF performances with the exception of verbal fluency and working memory performances in select groups. CONCLUSIONS: This study demonstrated that individuals with ADHD generally perform comparably on EF measures regardless of the presence or absence of comorbid depression. These results suggest further examination of EF deficits when they emerge for adults with ADHD, especially beyond comorbid depression severity.

Factors Associated With Multiple Psychiatric Readmissions for Youth With Mood Disorders.

OBJECTIVE: Inpatient psychiatric readmission rates are increasingly considered indicators of quality of care. This study builds upon prior research by examining patient-, hospital-, and community-level factors associated with single and multiple readmissions for youth. METHOD: A retrospective cohort study was conducted using Medicaid claims data from four states supplemented with the American Hospital Association survey, the Area Resource File, and the National Survey of Mental Health Treatment Services. Multinomial logistic regression examined patient-, hospital-, and community-level factors that were associated with inpatient psychiatric readmission for 6,797 Medicaid-eligible youth with a primary diagnosis of mood disorder using a three-level nominal dependent variable coded as no readmission, one readmission, and two or more readmissions within 6 months after discharge. RESULTS: Six months after initial discharge, 941 youth (13.8%) were readmitted once and 471 (6.9%) were readmitted two or more times. The odds of single or multiple readmissions were significantly higher (p < .05) for youth classified as disabled or in foster care, those with multiple psychiatric comorbidities, medical comorbidity, and prior psychiatric hospitalization. Treatment in hospitals with high percentage of Medicaid discharges and a high number of beds was associated with lower odds of readmission. There was a significant interaction between length of stay and outpatient mental health follow-up within 7 days of discharge. CONCLUSION: Patient- and hospital-level factors are associated with likelihood of both single and multiple youth inpatient psychiatric readmissions, suggesting potential risk markers for psychiatric readmission.

Extreme coastal erosion enhanced by anomalous extratropical storm wave direction.

Extratropical cyclones (ETCs) are the primary driver of large-scale episodic beach erosion along coastlines in temperate regions. However, key drivers of the magnitude and regional variability in rapid morphological changes caused by ETCs at the coast remain poorly understood. Here we analyze an unprecedented dataset of high-resolution regional-scale morphological response to an ETC that impacted southeast Australia, and evaluate the new observations within the context of an existing long-term coastal monitoring program. This ETC was characterized by moderate intensity (for this regional setting) deepwater wave heights, but an anomalous wave direction approximately 45 degrees more counter-clockwise than average. The magnitude of measured beach volume change was the largest in four decades at the long-term monitoring site and, at the regional scale, commensurate with that observed due to extreme North Atlantic hurricanes. Spatial variability in morphological response across the study region was predominantly controlled by alongshore gradients in storm wave energy flux and local coastline alignment relative to storm wave direction. We attribute the severity of coastal erosion observed due to this ETC primarily to its anomalous wave direction, and call for greater research on the impacts of changing storm wave directionality in addition to projected future changes in wave heights.

A multi-decade dataset of monthly beach profile surveys and inshore wave forcing at Narrabeen, Australia.

Long-term observational datasets that record and quantify variability, changes and trends in beach morphology at sandy coastlines together with the accompanying wave climate are rare. A monthly beach profile survey program commenced in April 1976 at Narrabeen located on Sydney's Northern Beaches in southeast Australia is one of just a handful of sites worldwide where on-going and uninterrupted beach monitoring now spans multiple decades. With the Narrabeen survey program reaching its 40-year milestone in April 2016, it is timely that free and unrestricted use of these data be facilitated to support the next advances in beach erosion-recovery modelling. The archived dataset detailed here includes the monthly subaerial profiles, available bathymetry for each survey transect extending seawards to 20 m water depth, and time-series of ocean astronomical tide and inshore wave forcing at 10 m water depths, the latter corresponding to the location of individual survey transects. In addition, on-going access to the results of the continuing monthly survey program is described.

Use of antibiotic resistance analysis for representativeness testing of multiwatershed libraries.

The use of antibiotic resistance analysis (ARA) for microbial source tracking requires the generation of a library of isolates collected from known sources in the watershed. The size and composition of the library are critical in determining if it represents the diversity of patterns found in the watershed. This study was performed to determine the size that an ARA library needs to be to be representative of the watersheds for which it will be used and to determine if libraries from different watersheds can be merged to create multiwatershed libraries. Fecal samples from known human, domesticated, and wild animal sources were collected from six Virginia watersheds. From these samples, enterococci were isolated and tested by ARA. Based on cross-validation discriminant analysis, only the largest of the libraries (2,931 isolates) were found to be able to classify nonlibrary isolates as well as library isolates (i.e., were representative). Small libraries tended to have higher average rates of correct classification, but were much less able to correctly classify nonlibrary isolates. A merged multiwatershed library (6,587 isolates) was created and was found to be large enough to be representative of the isolates from the contributing watersheds. When isolates that were collected from the contributing watersheds approximately 1 year later were analyzed with the multiwatershed library, they were classified as well as the isolates in the library, suggesting that the resistance patterns are temporally stable for at least 1 year. The ability to obtain a representative, temporally stable library demonstrates that ARA can be used to identify sources of fecal pollution in natural waters.