The association between cannabis use and subjective memory complaints in older adults in the United States.

OBJECTIVE: The U.S. population is aging and increasing numbers of older adults are using cannabis. Cognitive decline is common in older age and subjective memory complaints (SMC) have been associated with increased risk for dementia. While residual cognitive effects of cannabis use at younger ages are well understood, the links between cannabis use and cognition in older adults is less clear. The present study represents the first population-level analysis of cannabis use and SMC in older adults in the U.S. METHOD: We used the National Survey of Drug Use and Health (NSDUH) dataset to evaluate SMC in respondents over age 50 (N = 26,399) according to past-year cannabis use. RESULTS: Results revealed that 13.2% (95%CI: 11.5%-15.0%) of those who reported cannabis use also reported SMC, compared to 6.4% (95%CI: 6.1%-6.8%) among individuals with no cannabis use. Logistic regression revealed a two-fold increase (OR = 2.21, 95%CI: 1.88-2.60) of reporting SMC in respondents who had used cannabis in the past year, which was attenuated (OR = 1.38, 95%CI: 1.10-1.72) when controlling for additional factors. Other covariates, including physical health conditions, misuse of other substances, and mental illness also significantly contributed to SMC outcomes. CONCLUSIONS: Cannabis use represents a modifiable lifestyle factor that has potential for both risk and protective properties that may impact the trajectory of cognitive decline in older age. These hypothesis generating results are important for characterizing and contextualizing population-level trends related to cannabis use and SMC in older adults.

Utility of Diffusion Modeling of Cogstate Brief Battery Test Performance in Detecting Mild Cognitive Impairment.

Cognitive testing data are essential to the diagnosis of mild cognitive impairment (MCI), and computerized cognitive testing, such as the Cogstate Brief Battery, has proven helpful in efficiently identifying harbingers of dementia. This study provides a side-by-side comparison of traditional Cogstate outcomes and diffusion modeling of these outcomes in predicting MCI diagnosis. Participants included 257 older adults (160 = normal cognition; 97 = MCI). Results showed that both traditional Cogstate and diffusion modeling analyses predicted MCI diagnosis with acceptable accuracy. Cogstate measures of recognition learning and working memory accuracy and diffusion modeling variable of decision-making efficiency (drift rate) and nondecisional time were most predictive of MCI. While participants with normal cognition demonstrated a change in response caution (boundary separation) when transitioning tasks, participants with MCI did not evidence this change.

Executive Functioning in Extreme Obesity: Contributions from Metabolic Status, Medical Comorbidities, and Psychiatric Factors.

PURPOSE: Extreme obesity has been associated with cognitive deficits across the lifespan and may be a risk factor for dementia in later life. However, the relationship between obesity and domain-specific cognitive deficits is complicated by a body of literature that often fails to adequately account for medical and psychiatric conditions frequently co-occurring with extreme obesity. MATERIALS AND METHODS: The present study included a cross-sectional evaluation of adults with extreme obesity (n=117) compared to lean control (n=46) participants on a brief cognitive battery using the NIH Toolbox and Rey Auditory Verbal Learning Test. Specifically, this study evaluated measures of executive functioning, attention, processing speed, learning, and memory while accounting for many common obesity-related medical and psychiatric comorbidities with known cognitive effects. RESULTS: Results revealed group differences with lower performances on measures of executive functioning, processing speed, and learning (ps<0.01) for participants with obesity. Reduced executive functioning was associated with abdominal obesity and medication use (ps<0.01) and together contributed significantly to overall modeling of cognition in individuals with obesity. CONCLUSION: Individuals with extreme obesity in this sample showed lower cognitive performance on measures of executive functioning, processing speed, and learning compared to lean controls. Abdominal obesity was associated with executive functioning deficits independent of many common medical and psychiatric factors.

Capacity to consent to research participation in adults with metastatic cancer: comparisons of brain metastasis, non-CNS metastasis, and healthy controls.

BACKGROUND: To evaluate the ability of individuals with metastatic cancer to provide informed consent to research participation, we used a structured vignette-based interview to measure 4 consenting standards across 3 participant groups. METHODS: Participants included 61 individuals diagnosed with brain metastasis, 41 individuals diagnosed with non-CNS metastasis, and 17 cognitively intact healthy controls. All groups were evaluated using the Capacity to Consent to Research Instrument (CCRI), a performance-based measure of research consent capacity. The ability to provide informed consent to participate in research was evaluated across 4 consent standards: expressing choice, appreciation, reasoning, and understanding. Capacity performance ratings (intact, mild/moderate impairment, severe impairment) were identified based on control group performance. RESULTS: Results revealed that the brain metastasis group performed significantly lower than healthy controls on the consent standard of understanding, while both metastatic cancer groups performed below controls on the consent standard of reasoning. Both metastatic cancer groups performed similar to controls on the standards of appreciation and expressing choice. Approximately 60% of the brain metastasis group, 54% of the non-CNS metastasis group, and 18% of healthy controls showed impaired research consent capacity. CONCLUSIONS: Our findings, using a performance-based assessment, are consistent with other research indicating that the research consent process may be overly cumbersome and confusing. This, in turn, may lead to research consent impairment not only in patient groups but also in some healthy adults with intact cognitive ability.

Clinical correlates of the ability to consent to research participation in brain metastasis.

OBJECTIVE: Impairment in the ability to provide informed consent is common in persons with brain metastasis. However, little is known about what factors contribute to this impairment in the patient group. Our objective is to determine if the associations between demographic, cognitive, and clinical variables correlate with the ability to provide informed consent in persons with brain metastasis. METHODS: We administered a comprehensive neuropsychological battery to a group of 61 persons with brain metastasis. Demographic and clinical information was also collected. All diagnoses were made by board-certified oncologists and were verified histologically. Statistical analyses included Pearson's product-moment correlations, point biserial correlations, and linear regression. RESULTS: Results indicated that combinations of education, verbal memory, executive function, whole brain radiation therapy, and chemotherapy affected various aspects of the ability to provide informed consent. Subsequent regression models demonstrated that these variables contributed a significant amount of shared variance to the ability to provide informed consent. CONCLUSION: We found that the ability of persons with brain metastasis to provide informed consent is a cognitively complex ability that is also affected by education and treatment variables. This information can help clinical researchers in identifying persons with brain metastasis at risk of an impaired ability to provide informed consent and aid in the consenting process.

Diurnal cortisol and decision making under risk in problem gambling.

The aim of this study was to assess the influence of diurnal cortisol profile on decision making under risk in individuals with problem gambling and a healthy control group. We examined the relationship between diurnal cortisol, assessed over the course of 2 days, and a battery of tasks that assessed decision making under risk, including the Columbia Card Task and the Cups Task. Thirty individuals with problem gambling and 29 healthy individuals took part in the study. Those with problem gambling showed blunted diurnal cortisol and more risk taking behavior compared with those in the healthy control group. Blunted cortisol profile was associated with more risky behavior and less sensitivity to losing money in problem gambling. These findings suggest that blunted stress physiology plays a role in specific parameters of risky decision making in problem gambling. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

Using cognition to predict the ability to understand medical treatment in brain and metastatic cancer.

OBJECTIVE: To determine if cognition can be used to identify persons with cancer at high risk for the impaired ability to understand treatment decisions. METHODS: The association between understanding treatment decisions and cognition was examined using data from 181 participants across four groups: 67 with brain metastasis, 41 with metastatic cancer that has not spread to the brain, 27 with malignant glioma, and 46 healthy controls. All diagnoses were made by board-certified oncologists and were verified histologically. RESULTS: Results indicated that numerous cognitive functions were associated with the ability to understand treatment decisions in persons with cancer. The following proportion of participants demonstrated impaired understanding of treatment decisions in our three patient groups: approximately 51% malignant glioma, approximately 46% brain metastasis, and approximately 24% metastatic cancer. In a combined brain cancer group, we were able to use cognitive performance to predict the impaired ability to understand treatment decisions. CONCLUSIONS: An impaired ability to understand treatment decisions is prevalent in persons with brain cancer and persons with metastatic cancer. Performance on a brief cognitive battery can be used to help clinicians identify patients at particular risk for impaired medical decision making.

Examining the stability of the UPPS-P and MCQ-27 during residential treatment for substance use disorder.

Impulsivity reflects a pattern of rapid behavioral responses to internal or external cues with little planning or consideration of consequences. Impulsive personality is purported to be a largely stable, trait-based quality, while impulsive choice has been shown to respond to interventions aimed at reducing impulsivity. We sought to evaluate the stability of impulsive personality and examine reductions in impulsivity during short-term residential substance use disorder (SUD) treatment. The temporal stability of the UPPS-P Impulsive Behavior Scale (UPPS-P) and discounting rates on a measure of impulsive choice (i.e., Monetary Choice Questionnaire-27 [MCQ-27]) were assessed over a brief 10-day period in a sample of individuals engaged in 14-day residential SUD treatment (N = 28). Although all five UPPS-P scales exhibited adequate to good test-retest reliability (rs > .78), Negative Urgency and (lack of) Premeditation decreased over time with large and moderate effects, respectively. Discounting rates on the MCQ-27 also declined (i.e., reduced impulsivity) during treatment. While impulsive personality is broadly understood to be trait-like and largely resistant to treatment effects, our results add to emerging evidence that two scales on the UPPS-P (i.e., Negative Urgency and [lack of] Premeditation) measure aspects of impulsive personality that respond to treatment. These findings have significant implications for understanding and conceptualizing impulsivity during initial SUD treatment and suggest opportunities for additional interventions targeting aspects of impulsive personality. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Development and psychometric evaluation of the Pornography Purchase Task.

Excessive pornography use and hypersexuality are frequently evaluated via direct self-report of problem severity and negative consequences associated with these behaviors. These face-valid assessments may be less sensitive to problems of hypersexuality in persons with low insight into their condition or in persons with motivation to minimize the negative impact of their pornography use. Demand for addictive substances has been effectively evaluated through a behavioral economic framework using a hypothetical purchase task, in which respondents are asked to report their degree of engagement with the substance as the financial costs associated with use increase. The present study describes the development and psychometric evaluation of the Pornography Purchase Task (PPT), a novel hypothetical purchase task for internet pornography use, in both a general population sample of adults (Study 1) and a clinical sample of men seeking hypersexuality treatment (Study 2). Overall, results showed good test-retest reliability of the PPT and the exponential-demand equation provided an excellent fit to responses on the PPT. The demand characteristic Intensity was most strongly related to concurrent indicators of hypersexuality and differentiated participants in Study 1. A similar pattern of results was observed in Study 2, with markedly stronger associations between most measures of demand for pornography and measures of hypersexuality for persons with recent use of pornography. Research and clinical implications of the PPT are discussed.

Changes in Neuropsychological Status during the Initial Phase of Abstinence in Alcohol Use Disorder: Neurocognitive Impairment and Implications for Clinical Care.

BACKGROUND: Neuropsychological deficits are common in individuals with alcohol use disorder (AUD) and impact daily functioning and AUD treatment outcomes. Longitudinal studies demonstrate that extended abstinence improves neuropsychological functioning. The effects of short-term abstinence are less clear. OBJECTIVES: This study examined changes in neuropsychological functioning after acute detoxification over a 10-day period at the beginning of residential AUD treatment. Notably, this study evaluated cognitive functioning according to diagnostic classifications for neurocognitive disorder according to DSM-5. METHODS: Using a within-subjects design, neuropsychological functioning of participants (N = 28) undergoing a 14-day residential AUD treatment program was assessed at two time points over 10 days (i.e., treatment entry, prior to treatment discharge). Tests of immediate memory, visuospatial abilities, attention, language abilities, delayed memory, and executive functioning were administered. RESULTS: After completing acute detoxification, almost all participants (93%) were clinically impaired in at least one of the five cognitive domains at residential treatment entry, with one third of the sample impaired on ≥3 domains. Ten days later, 71% remained clinically impaired in at least one of five cognitive domains, with 29% of the sample impaired on ≥3 domains. Significant improvement over the 10-day period was observed for immediate memory, visuospatial abilities, and overall cognitive functioning. Clinical significance of these changes is also reported. Conclusions/Importance: The results from this study help to characterize cognitive functioning in terms of neurocognitive impairment. A brief period of abstinence begins to ameliorate neuropsychological deficits, but many individuals remain cognitively impaired throughout treatment. Implications for treatment are discussed.

Exploratory factor analysis of the reintegration to normal living index in a stroke population.

BACKGROUND: The reintegration to normal living index (RNLI) is a global assessment of patient quality of life often utilized in stroke populations. Previous studies in various general disability samples have consistently reported a two-factor solution for the RNLI. Despite its common use with stroke patients, the RNLI has not been psychometrically evaluated in an exclusively stroke sample. This study is believed to represent the first factor analysis of the RNLI using a sample comprised exclusively of individuals who have survived cerebral infarct. OBJECTIVE: The aim of this study is to evaluate the psychometric properties of the RNLI in assessing quality of life of stroke survivors. METHODS: We retrospectively examined RNLI scores of 928 adults with strokes of varying severities as part of a multidisciplinary, interinstitutional collaboration across an academic medical center, acute care hospital, and rehabilitation center. We utilized a principal component factor analysis to evaluate the factor structure of the RNLI. RESULTS: Mean RNLI scores ±SD for the sample were 75.26 ± 19.85, ranging between 20 and 100. The Cronbach α was .94. A scree test for factor retention strongly suggested a single factor solution, explaining 64.50% of the total variance. CONCLUSIONS: Previous factor analyses on the RNLI utilizing general disability samples commonly report a two-factor solution. Our data support the presence of a single factor solution across the RNLI within a large sample comprised exclusively of stroke survivors. This suggests that the RNLI acts as more of a unitary measure of quality of life within a stroke sample relative to other disabled samples.

Multivariable Prediction of Return to Work at 6-Month Follow-Up in Patients With Mild to Moderate Acute Stroke.

OBJECTIVE: To investigate predictors of return to work (RTW) in a poststroke sample. DESIGN: Retrospective investigation of archival data from an inception cohort; acute care records and 6-month follow-up telephone interview data were obtained for analysis. SETTING: The Brain Recovery Core, a collaborative interinstitutional endeavor among an academic medical center, an acute care hospital, and a rehabilitation center. PARTICIPANTS: Data from patients with stroke from the Brain Recovery Core (N=298). Excluded cases included those with nontraditional and/or nonpaid job status, no National Institute of Health Stroke Scale (NIHSS) score, and an NIHSS score >16. Our final sample included 244 individuals (age range, 25-87y). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Sociodemographic variables, stroke severity (NIHSS), and physical and neurocognitive measures. RESULTS: Adding predictor variables to our logistic regression model increased accuracy by approximately 18%. Greater independence in the FIM sit-to-stand movement predicted improved RTW rates (odds ratio [OR], 1.8; 95% confidence interval [CI], 1.0-3.1), whereas nonwhite race (OR, 2.52; 95% CI, 1.16-5.47) and greater impairment on the NIHSS (OR, .88; 95% CI, .77-.99) predicted attenuated RTW rates. CONCLUSIONS: Valid measures of stroke severity and a clinician-rated sit-to-stand movement have utility in the acute prediction of later RTW in patients with mild to moderate stroke. Given the complexity of the RTW construct and the acute measurement of these variables, we believe that our findings can be used to inform clinical decisions and appropriately tailor rehabilitative strategies that improve quality of life for stroke survivors.