Compassion Versus Accuracy: Lenient Scoring of the Spatial Orientation Items on the Mini-mental State Exam Lowers Sensitivity.

The Mini-mental State Examination (MMSE) is a commonly used screening tool for cognitive impairment. Lenient scoring of spatial orientation errors (SOEs) on the MMSE is common and negatively affects its diagnostic utility. We examined the effect of lenient SOE scoring on MMSE classification accuracy in a consecutive case series of 103 older adults (age 60 or above) clinically referred for neuropsychological evaluation. Lenient scoring of SOEs on the MMSE occurred in 53 (51.4%) patients and lowered the sensitivity by 7% to 18%, with variable gains in specificity (0% to 11%) to psychometrically operationalized cognitive impairment. Results are consistent with previous reports that lenient scoring is widespread and attenuates the sensitivity of the MMSE. Given the higher clinical priority of correctly detecting early cognitive decline over specificity, a warning against lenient scoring of SOEs (on the MMSE and other screening tools) during medical education and in clinical practice is warranted.

Replicating the classification accuracy of the Verbal Paired Associates and Visual Reproduction recognition trials as embedded performance validity tests.

OBJECTIVE: This study was designed to replicate previous research on the clinical utility of the Verbal Paired Associates (VPA) and Visual Reproduction (VR) subtests of the WMS-IV as embedded performance validity tests (PVTs) and perform a critical item (CR) analysis within the VPA recognition trial. METHOD: Archival data were collected from a mixed clinical sample of 119 adults (MAge = 42.5, MEducation = 13.9). Classification accuracy was computed against psychometrically defined criterion groups based on the outcome of various free-standing and embedded PVTs. RESULTS: Age-corrected scaled scores ≤ 6 were specific (.89-.98) but had variable sensitivity (.36-.64). A VPA recognition cutoff of ≤ 34 produced a good combination of sensitivity (.46-.56) and specificity (.92-.93), as did a VR recognition cutoff of ≤ 4 (.48-.53 sensitivity at .86-.94 specificity). Critical item analysis expanded the VPA's sensitivity by 3.5%-7.0% and specificity by 5%-8%. Negative learning curves (declining output on subsequent encoding trials) were rare but highly specific (.99-1.00) to noncredible responding. CONCLUSIONS: Results largely support previous reports on the clinical utility of the VPA and VR as embedded PVTs. Sample-specific fluctuations in their classification accuracy warrant further research into the generalizability of the findings. Critical item analysis offers a cost-effective method for increasing confidence in the interpretation of the VPA recognition trial as a PVT. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Do executive functions differentiate Iranian children with attention-deficit/hyperactivity disorder with and without comorbid obesity?

OBJECTIVE: To compare multiple dimensions of executive function between children with attention-deficit/hyperactivity disorder (ADHD) with and without comorbid obesity. METHOD: Participants were 90 Iranian children (ages 8-13, 50% female) who were equally dispersed across three study groups: typically developing (TD), ADHD with obesity (ADHD+O), and ADHD without obesity (ADHD-O). Study participants were administered a comprehensive battery of Iranian-adapted "cool" executive function tasks including Digit Span from the Wechsler Intelligence Scale for Children-Fifth Edition (WISC-V), Victoria Stroop Test (VST), Wisconsin Card Sorting Test (WCST), Tower of London, and dot-probe task (i.e., a task of attentional bias). Parents completed the Children's Scale for Future Thinking Questionnaire, which assesses future-oriented cognition (e.g., saving, planning, episodic foresight, delay of gratification), aligning more with "hot" executive functions. Groups were compared using multivariate and post-hoc univariate general linear models. RESULTS: Significant group effects were observed for all executive function variables, broadly with the gradient pattern of TD > ADHD-O > ADHD+O. ADHD+O had poorer performances than ADHD-O for WISC-V Digit Span (d = -0.84), WCST Categories Completed (d = -0.55) and Perseverative Responses (d = 1.15), VST Interference Errors (d = 0.83) and Interference Time (d = 1.38), and Dot-Probe Task (d = 0.84). Relative to the ADHD-O group, ADHD+O had also poorer parent-reported Prospective Memory (d = -0.62), Episodic Foresight (d = -0.63), and Delay of Gratification (d = -0.54). CONCLUSIONS: Children with ADHD-O have poorer executive functioning than those without obesity. We observed stronger effects for "cool" rather than "hot" domains of executive function, though this could be due to the former being performance-based and the latter parent-reported.

Accelerated long-term forgetting of recall and recognition memory in people with epilepsy.

PURPOSE: Persons with epilepsy (PWE) report memory deficits as one of the most distressing aspects of their disorder. Recently, a long-term memory deficit known as Accelerated Long-Term Forgetting (ALF) has been described in PWE. ALF is characterized by the initial retention of learned information, followed by an accelerated rate of memory decay. However, the rate of ALF varies widely across literature and it is unclear how it impacts different memory retrieval types. The current study aimed to capture the time course of ALF on both free recall and recognition memory using a movie-based task in PWE. METHODS: A sample of 30 PWE and 30 healthy comparison (HC) subjects watched a nature documentary and were tested on their recall and recognition of the film's content immediately after viewing and at delays of 24 hours, 48 hours, and 72 hours. Participants also rated the confidence they had in their recognition memory trial responses. RESULTS: For recall, PWE exhibit ALF at 72 hours (ß = -19.840, SE = 3.743, z(226) = -5.301, p < 0.001). For recognition, PWE had decreased performance compared to controls at the 24-hour (ß = -10.165, SE = 4.174, z(224) = -3.166, p = 0.004), 48-hour (ß = -8.113, SE = 3.701, z(224) = -2.195, p = 0.044), and 72-hour (ß = -10.794, SE = 3.017, z(224) = -3.295, p = 0.003) delays. The PWE group showed positive correlations (tau = 0.165, p < 0.001) between confidence ratings and accuracy, with higher confidence reflecting successful recognition. PWE were 49% less likely to answer either retrieval type correctly at 72 hours (OR 0.51, 95% CI [0.35, 0.74], p < 0.001). Left hemispheric seizure onset decreased the odds of successful retrieval by 88% (OR 0.12, 95% CI [0.01, 0.42], p = 0.019). CONCLUSIONS: These findings provide evidence of ALF in PWE, with a differential impact on recall and recognition memory. This further supports the call to include ALF assessments in standard memory evaluations in PWE. Additionally, identifying the neural correlates of ALF in the future will be important in developing targeted therapies to alleviate the burden of memory impairment for PWE.

Replicating a Meta-Analysis: The Search for the Optimal Word Choice Test Cutoff Continues.

This study was designed to expand on a recent meta-analysis that identified ≤42 as the optimal cutoff on the Word Choice Test (WCT). We examined the base rate of failure and the classification accuracy of various WCT cutoffs in four independent clinical samples (N = 252) against various psychometrically defined criterion groups. WCT ≤ 47 achieved acceptable combinations of specificity (.86-.89) at .49 to .54 sensitivity. Lowering the cutoff to ≤45 improved specificity (.91-.98) at a reasonable cost to sensitivity (.39-.50). Making the cutoff even more conservative (≤42) disproportionately sacrificed sensitivity (.30-.38) for specificity (.98-1.00), while still classifying 26.7% of patients with genuine and severe deficits as non-credible. Critical item (.23-.45 sensitivity at .89-1.00 specificity) and time-to-completion cutoffs (.48-.71 sensitivity at .87-.96 specificity) were effective alternative/complementary detection methods. Although WCT ≤ 45 produced the best overall classification accuracy, scores in the 43 to 47 range provide comparable objective psychometric evidence of non-credible responding. Results question the need for designating a single cutoff as "optimal," given the heterogeneity of signal detection environments in which individual assessors operate. As meta-analyses often fail to replicate, ongoing research is needed on the classification accuracy of various WCT cutoffs.

Univariate and Multivariate Base Rates of Score Elevations, Reliable Change, and Inter-Rater Discrepancies in the BRIEF-A Standardization Samples.

The Behavior Rating Inventory of Executive Function-Adult Version (BRIEF-A) is a standardized rating scale of subjective executive functioning. We provide univariate and multivariate base rates (BRs) for scale/index scores in the clinical range (T scores ≥65), reliable change, and inter-rater information not included in the Professional Manual. Participants were adults (ages = 18-90 years) from the BRIEF-A self-report (N = 1,050) and informant report (N = 1,200) standardization samples, as well as test-retest (n = 50 for self, n = 44 for informant) and inter-rater (n = 180) samples. Univariate BRs of elevated T scores were low (self-report = 3.3%-15.4%, informant report = 4.5%-16.3%). Multivariate BRs revealed the common occurrence of obtaining at least one elevated T-score across scales (self-report = 26.5%-37.3%, informant report = 22.7%-30.3%), whereas virtually none had elevated scores on all scales. Test-retest scores were highly correlated (self = .82-.94; informant = .91-.96). Inter-rater correlations ranged from .44 to .68. Significant (p < .05) test-retest T-score differences ranged from 7 to 12 for self-report, from 6 to 8 for informant report, and from 16 to 21 points for inter-rater T-score differences. Applications of these findings are discussed.

Psychometric properties of the Behavior Rating Inventory of Executive Function, second edition (BRIEF2) self-report form in Iranian adolescents.

BACKGROUND: This study investigated the psychometric properties of a Persian translation of the Behavior Rating Inventory of Executive Function, Second Edition (BRIEF2) Self-Report form. METHOD: Participants were 589 typically developing adolescents (336 girls and 253 boys), ages 11-18 years old (M = 15.16; SD = 2.04), in Iran. They completed the Persian version of the BRIEF2 Self-Report form and Teenage Executive Functioning Inventory (TEXI). The Persian translated BRIEF2 psychometric properties were examined via internal consistency, test-retest reliability, convergent validity via associations with TEXI scores, and internal structure using structural equation modeling (SEM) to evaluate fit of the three-factor structure from the original English version BRIEF2. RESULTS: Findings indicated the Persian version of BRIEF2 Self-Report form yielded scores with robust reliability, with internal consistency ranging from .87 to .93 and test-retest correlations ranging from .89 to .96, and adequate convergent validity, with correlations with the TEXI ranging from .48 to .79. SEM revealed that a three-factor solution was the best fitting model for the seven subscales of the Persian BRIEF2. CONCLUSION: These findings support the clinical use of the Persian BRIEF2 in Iranian adolescents, including the interpretation of the BRIEF2 three-factor structure, as well as the multidimensional nature of executive functions.

Critical item (CR) analysis expands the classification accuracy of performance validity tests based on the forced choice paradigm-Replicating previously introduced CR cutoffs within the Word Choice Test.

OBJECTIVE: This study was designed to replicate previous research on critical item analysis within the Word Choice Test (WCT). METHOD: Archival data were collected from a mixed clinical sample of 119 consecutively referred adults (Mage = 51.7, Meducation = 14.7). The classification accuracy of the WCT was calculated against psychometrically defined criterion groups. RESULTS: Critical item analysis identified an additional 2%-5% of the sample that passed traditional cutoffs as noncredible. Passing critical items after failing traditional cutoffs was associated with weaker independent evidence of invalid performance, alerting the assessor to the elevated risk for false positives. Failing critical items in addition to failing select traditional cutoffs increased overall specificity. Non-White patients were 2.5 to 3.5 times more likely to Fail traditional WCT cutoffs, but select critical item cutoffs limited the risk to 1.5-2. CONCLUSIONS: Results confirmed the clinical utility of critical item analysis. Although the improvement in sensitivity was modest, critical items were effective at containing false positive errors in general, and especially in racially diverse patients. Critical item analysis appears to be a cost-effective and equitable method to improve an instrument's classification accuracy. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

[Formula: see text]Multivariate base rates of score elevations on the BRIEF2 in children with ADHD, autism spectrum disorder, or specific learning disorder with impairment in reading.

There is a paucity of research examining multivariate base rates (MBRs) of elevated scores in pediatric rating scales of cognition. We present novel MBR information on the Behavior Rating Inventory of Executive Function, Second Edition (BRIEF2) for several clinical groups: Attention-Deficit/Hyperactivity Disorder Combined Presentation (ADHD-C); ADHD Inattentive Presentation (ADHD-I); Autism Spectrum Disorder (ASD); and Specific Learning Disorder with impairment in Reading (SLD-R). Participants included children diagnosed as having ADHD-C (n = 350), ADHD-I (n = 343), ASD (n = 390), or SLD-R (n = 240). Cumulative MBRs (e.g., the % of a sample having one or more elevated scores) were examined for each BRIEF2 form (Parent, Teacher, and Self-Report) and at three T-score cutoffs (T ≥ 60, T ≥ 65, and T ≥ 70). The MBR of obtaining at least one elevated score was common across clinical groups and forms at T ≥ 60 (ADHD-C = 90.5-98.1%; ADHD-I = 83.9-98.7%; ASD = 90.3-96.9%, SLD-R = 60.0-78.4%), T ≥ 65 (ADHD-C = 66.7-97.2%; ADHD-I = 77.5-94.9%; ASD = 77.3-92.7%; SLD-R = 38.5-64.0%), and T ≥ 70 (ADHD-C = 52.4-89.4%; ADHD-I = 64.8-84.2%; ASD = 54.5-83.2%; SLD-R = 26.9-44.1%). MBRs appeared to differ as a function of group (ADHD-C > ADHD-I > ASD > SLD-R) and form (Parent > Teacher > Self-Report) though future research with well-defined samples is needed to investigate this. We provide novel MBR information to enhance clinical interpretation of BRIEF2 data.

Effectiveness of a Self-Management Program to Improve Cognition and Quality of Life in Epilepsy: A Pragmatic, Randomized, Multicenter Trial.

BACKGROUND AND OBJECTIVES: We conducted a multisite, pragmatic replication trial at 4 New England epilepsy centers to determine the effectiveness of Home-Based Self-Management and Cognitive Training Changes Lives (HOBSCOTCH) in a real-world setting and to assess feasibility of a virtual intervention. METHODS: HOBSCOTCH is an 8-session intervention addressing cognitive impairment and quality of life (QoL) for people with epilepsy (PWE). Participants were recruited from epilepsy centers in 4 states and block-randomized into the following groups: in-person HOBSCOTCH (H-IP), virtual HOBSCOTCH (H-V), and waitlist control. Outcome measures were assessed for all groups at baseline, 3 months, and 6 months; intervention groups received long-term follow-up at 9 and 12 months. RESULTS: A total of 108 participants were recruited, of whom 85 were included in this analysis (age at baseline 47.5 ± 11.5 years; 68% female). Participants completing the in-person intervention (H-IP) had a 12.4-point improvement in QoL score compared with controls (p < 0.001). Pairwise comparisons found a 6.2-point treatment effect for subjective cognition in the H-IP group (p < 0.001). There were no meaningful group differences in objective cognition or health care utilization at any time points and the treatment effect for QoL diminished by 6 months. The virtual intervention demonstrated feasibility but did not significantly improve outcomes compared with controls. Within-group analysis found improvements in QoL for both H-V and H-IP. DISCUSSION: This study replicated the effectiveness of the HOBSCOTCH program in improving QoL for PWE. The study was conducted prior to the COVID-19 pandemic, but the distance-delivered intervention may be particularly well-suited for the current environment. Future research will explore modifications designed to improve the efficacy of H-V and the sustainability of HOBSCOTCH's treatment effect. TRIAL REGISTRATION INFORMATION: ClinicalTrials.gov (NCT02394509). CLASSIFICATION OF EVIDENCE: This study provides Class III evidence that in-person HOBSCOTCH delivery improved subjective measures of cognition in persons with epilepsy.

Cardio-ankle vascular index of increased arterial wall stiffness is associated with neurocognitive impairment in well-controlled HIV.

OBJECTIVES: HIV-associated neurocognitive disorders (HAND) remain prevalent in people living with HIV (PLWH) despite widespread use of combined antiretroviral therapy (ART). Vascular disease contributes to the pathogenesis of HAND, but traditional vascular risk factors do not fully explain the relation between vascular disease and HAND. A more direct measure of vascular dysfunction is needed. This cross-sectional study tested whether the cardio-ankle vascular index (CAVI), a novel method to assess arterial stiffness, is associated with HAND among PLWH. METHODS: Participants included 75 non-diabetic adults with well-controlled HIV from an outpatient HIV clinic. We assessed the relation between CAVI and neurocognitive impairment (NCI). The latter was primarily characterized by the Frascati criteria and secondarily (post hoc) using the Global Deficit Score (GDS). Logistic regression models tested whether high CAVI (≥ 8) was independently associated with NCI when controlling for potential confounders. RESULTS: Participants (Mage  = 45.6 ± 8.3 years; 30.1% male) had few traditional cardiovascular disease (CVD) risk factors (hypertension, n = 7; dyslipidaemia, n = 34; body mass index ≥ 25 kg/m2 , n = 12; smoking history, n = 13; 2.2% mean 10-year risk of CVD or stroke). Twelve (16%) participants had high CAVI, which was independently associated with meeting Frascati criteria for NCI [n = 39, odds ratio (OR) = 7.6, p = 0.04], accounting for age, education, gender, income, CD4 nadir, recent CD4 and traditional CVD risk factors. High CAVI was also associated with NCI as reflected by higher GDS (OR = 17.4, p = 0.02). CONCLUSIONS: Cardio-ankle vascular index is a promising measure of vascular dysfunction that may be independently associated with NCI in relatively healthy PLWH. Larger studies should test the utility of CAVI in predicting NCI/decline in PLWH.

Behavior Rating Inventory of Executive Function - adult version (BRIEF-A) in Iranian University students: Factor structure and relationship to depressive symptom severity.

Major depressive disorder is the most common psychiatric illness in Iran, and depression is common among university students in the country. The presence of depression is frequently associated with problems in executive functioning. The Behavior Rating Inventory of Executive Function-Adult Version (BRIEF-A) is a questionnaire measure designed to assess executive functioning in everyday life in clinical and non-clinical populations. Currently, there is limited empirical validation of the measure for use in Iran. This study evaluated the psychometric properties of a Persian-language BRIEF-A in a sample of Iranian university students (n = 300). The factor structure of the BRIEF-A was examined via a confirmatory factor analysis. We also evaluated whether BRIEF-A scores differed among university students varying in severity of depressive symptoms (Minimal, Mild, Moderate, Severe) as measured by the Beck Depression Inventory - II. Results indicated that a two-factor model structure best fit the data for the BRIEF-A. Acceptable internal consistency was also observed. Furthermore, poorer subjective executive functioning was endorsed by the three depressive subgroups relative to the Minimal symptoms group. Together, these findings support a two-factor model for the Persian translation of the BRIEF-A, and indicate that more severe depressive symptoms in Iranian university students is associated with worse subjective executive functioning.

[Formula: see text]Enhanced interpretation of the BRIEF2: multivariate base rates of elevated scores in the standardization samples.

The Behavior Rating Inventory of Executive Function, Second Edition (BRIEF2) is a standardized rating (self, parent, and teacher) scale of executive functioning in children and adolescents. Here, we provide multivariate base rate (MBR) information (for the Self, Parent, and Teacher forms), which is not included in the BRIEF2 Professional Manual. Participants were children and adolescents for the BRIEF2 Self-Report (ages = 11-18; N = 803), Parent-Report (ages = 5-18; N = 1,400), and Teacher-Report (ages = 5-18; N = 1,400) standardization samples. We focused on cumulative (e.g., % of sample with oneor more elevated scores) MBRs across scales, which were examined at three elevation levels on each form: T≥ 60, ≥65, and ≥70. Across forms, MBRs predictably decreased with increasing number of elevated scores and at higher cutoffs. The cumulative MBR of having at least one score at T≥ 60 was common (37.5-42.2%), but less frequent at T≥ 70 (15.4-17.4%). The probability of having elevated scores on all scales was very low, irrespective of form, age, or elevation threshold (T≥ 60 = 2.4-4.4%; T≥ 65 = 1.0-1.4%; T≥ 70 = 0.0-0.7%). There was no clinically meaningful relation between demographic factors (age, gender, race, and parental education) and MBRs. These data provide clinicians and researchers with an enhanced way of concurrently interpreting multiple BRIEF2 scales.

Evaluating Voice-Assistant Commands for Dementia Detection.

Early detection of cognitive decline involved in Alzheimer's Disease and Related Dementias (ADRD) in older adults living alone is essential for developing, planning, and initiating interventions and support systems to improve users' everyday function and quality of life. In this paper, we explore the voice commands using a Voice-Assistant System (VAS), i.e., Amazon Alexa, from 40 older adults who were either Healthy Control (HC) participants or Mild Cognitive Impairment (MCI) participants, age 65 or older. We evaluated the data collected from voice commands, cognitive assessments, and interviews and surveys using a structured protocol. We extracted 163 unique command-relevant features from each participant's use of the VAS. We then built machine-learning models including 1-layer/2-layer neural networks, support vector machines, decision tree, and random forest, for classification and comparison with standard cognitive assessment scores, e.g., Montreal Cognitive Assessment (MoCA). Our classification models using fusion features achieved an accuracy of 68%, and our regression model resulted in a Root-Mean-Square Error (RMSE) score of 3.53. Our Decision Tree (DT) and Random Forest (RF) models using selected features achieved higher classification accuracy 80-90%. Finally, we analyzed the contribution of each feature set to the model output, thus revealing the commands and features most useful in inferring the participants' cognitive status. We found that features of overall performance, features of music-related commands, features of call-related commands, and features from Automatic Speech Recognition (ASR) were the top-four feature sets most impactful on inference accuracy. The results from this controlled study demonstrate the promise of future home-based cognitive assessments using Voice-Assistant Systems.

Domain-aware Intermediate Pretraining for Dementia Detection with Limited Data.

Detecting dementia using human speech is promising but faces a limited data challenge. While recent research has shown general pretrained models (e.g., BERT) can be applied to improve dementia detection, the pretrained model can hardly be fine-tuned with the available small dementia dataset as that would raise the overfitting problem. In this paper, we propose a domain-aware intermediate pretraining to enable a pretraining process using a domain-similar dataset that is selected by incorporating the knowledge from the dementia dataset. Specifically, we use pseudo-perplexity to find an effective pretraining dataset, and then propose dataset-level and sample-level domain-aware intermediate pretraining techniques. We further employ information units (IU) from previous dementia research and define an IU-pseudo-perplexity to reduce calculation complexity. We confirm the effectiveness of perplexity by showing a strong correlation between perplexity and accuracy using 9 datasets and models from the GLUE benchmark. We show that our domain-aware intermediate pretraining improves detection accuracy in almost all cases. Our results suggested that the difference in text-based perplexity values between patients with Alzheimer's Disease (AD) and Healthy Control (HC) is still small, and the perplexity incorporating acoustic features (e.g., pause) may make the pretraining more effective.

TOWARDS INTERPRETABILITY OF SPEECH PAUSE IN DEMENTIA DETECTION USING ADVERSARIAL LEARNING.

Speech pause is an effective biomarker in dementia detection. Recent deep learning models have exploited speech pauses to achieve highly accurate dementia detection, but have not exploited the interpretability of speech pauses, i.e., what and how positions and lengths of speech pauses affect the result of dementia detection. In this paper, we will study the positions and lengths of dementia-sensitive pauses using adversarial learning approaches. Specifically, we first utilize an adversarial attack approach by adding the perturbation to the speech pauses of the testing samples, aiming to reduce the confidence levels of the detection model. Then, we apply an adversarial training approach to evaluate the impact of the perturbation in training samples on the detection model. We examine the interpretability from the perspectives of model accuracy, pause context, and pause length. We found that some pauses are more sensitive to dementia than other pauses from the model's perspective, e.g., speech pauses near to the verb "is". Increasing lengths of sensitive pauses or adding sensitive pauses leads the model inference to Alzheimer's Disease (AD), while decreasing the lengths of sensitive pauses or deleting sensitive pauses leads to non-AD.

The Impact of THC and CBD in Schizophrenia: A Systematic Review.

Background: People with schizophrenia are more likely to develop cannabis use disorder (CUD) and experience worse outcomes with use. Yet as cannabis is legalized for medical and recreational use, there is interest in its therapeutic potential. Objectives: To conduct a systematic review summarizing the design and results of controlled trials using defined doses of THC and CBD in schizophrenia. Method: A keyword search of eight online literature databases identified 11 eligible reports. Results: One placebo controlled trial (13 stable patients without CUD) found that intravenous THC increased psychosis and worsened learning/recall. Two reports of a functional magnetic resonance (fMRI) study of smoked or oral THC in 12 abstinent patients with schizophrenia and CUD found no change in symptoms and cognition, and an amelioration of impaired resting state brain function in areas implicated in reward function and the default mode network. One 4 week trial in acutely psychotic inpatients without CUD (mean age 30 y) found 800 mg CBD to be similarly efficacious to amisupride in improving psychosis and cognition. Two 6 week studies of CBD augmentation of antipsychotics in stable outpatients reported mixed results: CBD 600 mg was not more effective than placebo; CBD 1,000 mg reduced symptoms in a sample that did not exclude cannabis use and CUD. A brain fMRI and proton magnetic resonance spectroscopy study of single dose CBD in a sample that did not exclude CUD and cannabis use found that CBD improved symptoms and brain function during a learning/recall task and was associated with increased hippocampal glutamate. Discussion: There is substantial heterogeneity across studies in dose, method of drug delivery, length of treatment, patient age, whether patients with cannabis use/CUD were included or excluded, and whether patients were using antipsychotic medication. Conclusion: There is insufficient evidence for an effect of THC or CBD on symptoms, cognition, and neuroimaging measures of brain function in schizophrenia. At this time, research does not support recommending medical cannabis (THC or CBD) for treating patients with schizophrenia. Further research should examine THC and CBD in schizophrenia with and without comorbid CUD and consider the role of CBD in mitigating symptom exacerbation from THC.

Incident Impaired Cognitive Function in Sarcopenic Obesity: Data From the National Health and Aging Trends Survey.

Objectives: The prevalence of obesity with sarcopenia is increasing in adults aged ≥65 years. This geriatric syndrome places individuals at risk for synergistic complications that leads to long-term functional decline. We ascertained the relationship between sarcopenic obesity and incident long-term impaired global cognitive function in a representative US population. Design: A longitudinal, secondary data set analysis using the National Health and Aging Trends Survey. Setting: Community-based older adults in the United States. Participants: Participants without baseline impaired cognitive function aged ≥65 years with grip strength and body mass index measures. Methods: Sarcopenia was defined using the Foundation for the National Institutes of Health Sarcopenia Project grip strength cut points (men <35.5 kg; women <20 kg), and obesity was defined using standard body mass index (BMI) categories. Impaired global cognition was identified as impairment in the Alzheimer's Disease-8 score or immediate/delayed recall, orientation, clock-draw test, date/person recall. Proportional hazard models ascertained the risk of impaired cognitive function over 8 years (referent = neither obesity or sarcopenia). Results: Of the 5822 participants (55.7% women), median age category was 75 to 80, and mean grip strength and BMI were 26.4 kg and 27.5 kg/m2, respectively. Baseline prevalence of sarcopenic obesity was 12.9%, with an observed subset of 21.2% participants having impaired cognitive function at follow-up. Compared with those without sarcopenia or obesity, the risk of impaired cognitive function was no different in obesity alone [hazard ratio (HR) 0.98; 95% confidence interval (CI) 0.82-1.16]), but was significantly higher in sarcopenia (HR 1.60; 95% CI 1.42-1.80) and sarcopenic obesity (HR 1.20; 95% CI 1.03-1.40). There was no significant interaction term between sarcopenia and obesity. Conclusions: Both sarcopenia and sarcopenic obesity are associated with an increased long-term risk of impaired cognitive function in older adults.