26 research outputs found

    COVID-19-Related Stressors and Clinical Mental Health Symptoms in a Northeast US Sample

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    Research has linked specific COVID-19-related stressors to the mental health burden, yet most previous studies have examined only a limited number of stressors and have paid little attention to their clinical significance. This study tested the hypothesis that individuals who reported greater COVID-19-related stressors would be more likely to have elevated levels of anxiety, posttraumatic stress symptoms, and serious psychological distress. Methods: An online survey was administered to a convenience sample from 18 June to 19 July 2020, in US states that were most affected by COVID-19 infections and deaths at the time. Individuals who were 18 or older and residents of five Northeast US states were eligible to participate (N = 1079). In preregistered analyses, we used logistic regression models to test the associations of COVID-19 stressors with symptoms on the Generalized Anxiety Disorder-7 (GAD-7), Impact of Event Scale-Revised, and K6, adjusting for sociodemographic covariates. Results: COVID-19-related stressors (i.e., essential worker status, worry about COVID-19 infection, knowing someone hospitalized by COVID-19, having children under 14 at home, loneliness, barriers to environmental rewards, food insecurity, loss of employment) were associated with meeting thresholds (i.e., positive screening) for anxiety, posttraumatic stress, and/or serious psychological distress. Loneliness and barriers to environmental rewards were associated with all mental health outcomes. Limitations: We used a non-probability sample and cannot assume temporal precedence of stressors with regard to development of mental health symptoms. Conclusions: These findings link specific stressors to the mental health burden of the COVID-19 pandemic

    Personal Exposure to Death during COVID-19 Predicts Subsequent Polarization

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    Terror management theory (TMT) suggests that people exposed to death reminders are likely to bolster their worldview in response. The present study examines data from longitudinal survey responders during the COVID-19 pandemic who may have been exposed to death via a personal loss. Participants were also surveyed on their adherence to CDC guidelines, vaccination status, trust in medical institutions, and support for COVID public policy

    Developmental Instability and Markers of Schizotypy in University Students

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    Fluctuating asymmetries (FA) and minor physical anomalies (MPAs) are markers of developmental instability (DI), an index of the degree to which an organism was subject to genomic or environmental stress during development. Measures of DI are characteristic of schizophrenia and are thought to reflect an underlying genetic liability for schizophrenia spectrum disorders. Whereas MPAs reflect developmental stress relatively early in the first trimester in utero , skeletal FAs reflect developmental stress throughout the lifespan. Both measures were collected to provide some indication of the associated developmental time course. In addition to DI measures, several psychometric measures of schizotypy were administered in a sample of university students ( n = 81). It was hypothesized that increased DI may relate to schizotypal symptoms in a group of healthy undergraduate students. Schizotypy scores were positively correlated with FA, but not MPAs. This finding suggests that DI, as indexed by FA, is important for normal range variation in schizotypal characteristics, just as it is important for normal range variation in intelligence. Second, considered in the context of studies demonstrating that schizophrenia is associated with elevated MPAs, these results suggest that developmental stress likely occurs earlier in development for schizophrenia than schizotypy

    Access to medication for opioid use disorder supported by telemedicine and healthcare coverage: A web-based survey during the COVID-19 pandemic

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    Background and Aims: Medications for opioid use disorder (MOUD) are highly effective in improving treatment outcomes and reducing overdose. Concerns about interrupted access to critical MOUD services led to expansion of telemedicine services during the COVID-19 pandemic in the US. The current study tested the hypothesis that telemedicine usage and healthcare coverage would be significantly associated with access to MOUD in the early phase of the COVID-19 pandemic. Design: A cross-sectional online survey was administered to a non-probability sample from June 18-July 19, 2020 using the Amazon Mechanical Turk platform. Setting: Northeastern United States during the early phase of the COVID-19 pandemic. At the time of the survey, federal regulators had waived the longstanding requirement for in-office visits for MOUD prescription receipt and provided guidance on increasing third-party payer reimbursement rates for telehealth visits in order to mitigate barriers to care associated with COVID-19 safety guidelines. Participants: Individuals 18 years or older residing in Connecticut, Massachusetts, New Jersey, New York, or Rhode Island were eligible to complete the survey. The analytic sample was participants who reported using opioids not as prescribed by a physician in the past seven days. Measurements: Demographics, telemedicine usage, and healthcare coverage were assessed as explanatory variables. The primary outcome was whether participants reported ability to access MOUD in the past four weeks. Findings: In this sample of individuals who used illicit opioids in the past week (N = 191), one in two individuals who utilized telehealth or had healthcare coverage were able to access MOUD, whereas only one in five of their respective counterparts who did not have telehealth access or healthcare coverage were able to access these medications. Conclusions: Telemedicine and healthcare coverage were associated with greater MOUD access early in the COVID-19 pandemic, when barriers to care were high. Such findings speak to the importance of not only extending but also formalizing temporary policy changes instituted during the pandemic to allow MOUD prescribing via telemedicine

    Convergent and discriminant validity of the ImPACT with traditional neuropsychological measures

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    Neuropsychological assessment of cognitive sequelae secondary to sports concussion is limited by lengthy administration times and lack of readily available neuropsychologists. Brief computerized test batteries are now under development to address this, but the validity of these measures is not yet established. The validity of one such computerized test battery, the Immediate Post-Concussion Assessment and Cognitive Testing (ImPACT), was administered to 93 healthy NCAA Division I athletes, aged 18–24, along with a battery of traditional, well-described neuropsychological tests. Convergent and discriminant validity between the ImPACT and traditional measures was investigated using multitrait-multimethod matrix (MTMM) analysis. As an example, the ImPACT Visual Motor Speed composite demonstrated reasonably good convergent validity secondary to moderate correlations with traditional measures of processing speed, but it demonstrated relatively poor discriminant validity as it significantly correlated with the Reaction Time composite score. MTMM results were variable across ImPACT composites and data for each are presented. The ImPACT composite’s validity was further investigated using exploratory factor analysis (EFA). Six principal components were termed processing speed, visual memory, verbal memory, attention & working memory, and verbal fluency, based upon traditional test loadings, and a sixth loaded only on the ImPACT Reaction Time composite. EFA indicated content validity of moderate strength for the Visual Motor Speed and Visual Memory composites, but revealed problems with specificity for the other composites. Based upon the present findings, validity problems render the interpretability of the ImPACT composites somewhat questionable, and more research is necessary prior to using the ImPACT for assessment of clinical populations

    Perturbation of the Glutamate–Glutamine System in Alcohol Dependence and Remission

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    As acute ethanol exposure inhibits N-methyl--aspartate glutamate (Glu) receptors, sudden withdrawal from chronic alcohol use may lead to an increased activation of these receptors with excitotoxic effects. In the longer term, brain levels of Glu and its metabolites, such as glutamine (Gln), are likely to be chronically altered by alcohol, possibly providing a measure of overall abnormal Glu–Gln cycling. However, few studies have assessed concentrations of these metabolites in clinical populations of individuals with alcohol use disorders. Glu and Gln levels were compared in groups of 17 healthy controls and in 13 participants with alcohol dependence. Within the alcohol-dependent group, seven participants had current alcohol use disorder (AUD), and six had AUD in remission for at least 1 year (AUD-R). Neurometabolite concentrations were measured with proton magnetic resonance spectroscopy (1H-MRS) in a predominantly gray matter voxel that included the bilateral anterior cingulate gyri. Tissue segmentation provided an assessment of the proportion of gray matter in the 1H-MRS voxel. The Drinker Inventory of Consequences (DrInC) and Form-90 were administered to all participants to quantify alcohol consequences and use. Glu level was lower and Gln level was higher in the AUD and AUD-R groups relative to the control group; creatine, choline, myo-inositol, and total N-acetyl groups, primarily N-acetylaspartate did not differ across groups. These results were not confounded by age, sex, or proportion of gray matter in the 1H-MRS voxel. Neurometabolite concentrations did not differ between AUD and AUD-R groups. Subsequent regressions in the combined clinical group, treating voxel gray matter proportion as a covariate, revealed that total score on the DrInC was positively correlated with Gln but negatively correlated with both Glu and gray matter proportion. Regression analyses, including DrInC scores and smoking variables, identified a marginal independent effect of smoking on Gln. The current findings of higher Gln and lower Glu in the combined AUD and AUD-R groups might indicate a perturbation of the Glu–Gln cycle in alcohol use disorders. The absence of differences in mean Glu and Gln between the AUD and AUD-R groups suggests that altered Glu–Gln metabolism may either predate the onset of abuse or persist during prolonged abstinence

    A Guide for Starting a Specialty Training Clinic: An Alcohol Treatment Program as an Example

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    Since the Boulder conference more than 50 years ago, clinical psychology has been moving toward empirically-based techniques and methods. Considerable research has been conducted and a multitude of studies have documented support for empirically-supported treatments (ESTs). However, the literature on implementing ESTs in real-world settings is relatively limited. The absence of practical guidance poses a particular problem for students in clinical psychology training programs that emphasize training and competency in ESTs. This article describes the development of an alcohol specialty clinic within a clinical psychology training program from the first conceptualizations to establishment of a referral base and provision of services. At each step, integration of science and clinical practice is discussed. Future directions and suggestions for developing training clinics are provided

    Associations of White Matter Microstructure with Clinical and Demographic Characteristics in Heavy Drinkers

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    <div><p>Damage to the brain’s white matter is a signature injury of alcohol use disorders (AUDs), yet understanding of risks associated with clinical and demographic characteristics is incomplete. This study investigated alcohol problem severity, recent drinking behavior, and demographic factors in relation to white matter microstructure in heavy drinkers. Magnetic resonance imaging (MRI) scans, including diffusion tensor imaging (DTI), were collected from 324 participants (mean age = 30.9 ± 9.1 years; 30% female) who reported five or more heavy drinking episodes in the past 30 days. Drinking history and alcohol problem severity were assessed. A common white matter factor was created from fractional anisotropy (FA) values of five white matter tracts: body of corpus callosum, fornix, external capsule, superior longitudinal fasciculus, and cingulate gyrus. Previous research has implicated these tracts in heavy drinking. Structural equation modeling (SEM) analyses tested the hypothesis that, after controlling for duration of alcohol exposure, clinical and behavioral measures of alcohol use severity would be associated with lower white matter factor scores. Potential interactions with smoking status, gender, age, treatment-seeking status, and depression or anxiety symptoms also were tested. Controlling for number of years drinking, greater alcohol problem severity and recent drinking frequency were significantly associated with lower white matter factor scores. The effect of drinking frequency differed significantly for men and women, such that higher drinking frequency was linked to lower white matter factor scores in women but not in men. In conclusion, alcohol problem severity was a significant predictor of lower white matter FA in heavy drinkers, after controlling for duration of alcohol exposure. In addition, more frequent drinking contributed to lower FA in women but not men, suggesting gender-specific vulnerability to alcohol neurotoxicity.</p></div
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