Gender differences in illicit drug access, use and use disorder: Analysis of National Survey on Drug Use and Health data.

Although gender differences in the prevalence of substance use disorders (SUD) have been well-characterized, little is known about when gender differences emerge along the continuum of substance use. Understanding the contribution of gender to risk at key transition points across this continuum is needed to identify potential mechanisms underlying gender differences and to inform improved gender-responsive interventions. To characterize gender differences in the progression of cannabis, cocaine, and heroin use, the current study used data from the United States-based 2015-2019 National Survey on Drug Use and Health to quantify gender differences in: (1) perceived access to drugs, (2) lifetime drug use among individuals with at least some access, and (3) past-year SUD among those who had ever used each drug. Logistic regressions were conducted for each drug to examine gender differences across all three stages, controlling for sociodemographic factors and survey year. Compared to women, men had higher odds of reporting access to and lifetime use of all three drug types. Men also had higher odds of past-year cannabis and cocaine use disorders compared to women. Results suggest gender differences emerge in the earliest stage of drug use (access) and may accumulate across the stages of use. The magnitude of gender differences varied across stages, with the largest differences observed for odds of drug initiation among those with perceived access to each drug. Longitudinal data will be needed to confirm these findings and to provide insight into potential contributors to gender-specific risk and intervention targets across the continuum of drug use severity.

Protocol for harmonization of randomized trials testing the addition of behavioral therapy to buprenorphine for opioid use disorder.

Background: Although buprenorphine is an effective treatment for opioid use disorder (OUD), much remains to be understood about treatment non-response and methods for improving treatment retention. The addition of behavioral therapies to buprenorphine has not yielded consistent benefits for opioid outcomes, on average. However, several studies suggest that certain subgroups may benefit from the combination of buprenorphine and behavioral therapy, highlighting the potential for personalized approaches to treatment. Furthermore, little is known about whether behavioral therapies improve buprenorphine retention or non-opioid (e.g., functional) outcomes. Methods: The objective of this project is to harmonize four previously conducted clinical trials testing the addition of behavioral therapy to buprenorphine maintenance for OUD and to use this larger dataset to answer critical clinical questions about the role of behavioral therapy in this population. Study aims include identifying potential moderators of the effect of the addition of behavioral therapy and quantifying the effect of behavioral therapy on buprenorphine retention and functional outcomes. Results: Analyses will consider outcomes of weeks of opioid use, weeks of retention in buprenorphine treatment, and functional outcomes as measured by the Addiction Severity Index. Analyses will include an indicator for each study to account for heterogeneity of samples and design. Conclusion: Results will help to inform clinical and research efforts to optimize the use of behavioral therapies in the treatment of OUD.

Measurement invariance of the Revised-Green Paranoid Thought Scale across Black and White Americans.

Given the culturally diverse landscape of mental healthcare and research, ensuring that our psychological constructs are measured equivalently across diverse populations is critical. One construct for which there is significant potential for inequitable assessment is paranoia, a prominent feature in psychotic disorders that can also be driven by culture and racial marginalization. This study examined measurement invariance-an analytic technique to rigorously investigate whether a given construct is being measured similarly across groups-of the Revised-Green Paranoid Thought Scale (R-GPTS; Freeman et al., 2021) across Black and White Americans in the general population. Racial group differences in self-reported paranoia were also examined. The analytic sample consisted of 480 non-Hispanic White and 459 non-Hispanic Black Americans. Analyses demonstrated full invariance (i.e., configural, metric, and scalar invariance) of the R-GPTS across groups, indicating that the R-GPTS appropriately captures self-reported paranoia between Black and White Americans. Accordingly, it is reasonable to compare group endorsement: Black participants endorsed significantly higher scores on both the ideas of reference and ideas of persecution subscales of the R-GPTS (Mean ± SD = 10.91 ± 7.12 versus 8.21 ± 7.17 and Mean ± SD = 10.18 ± 10.03 versus 6.35 ± 8.35, for these subscales respectively). Generalized linear modeling revealed that race remained a large and statistically significant predictor of R-GPTS total score (ß = -0.38756, p < 0.001) after controlling for relevant demographic factors (e.g., sex, age). This study addresses a critical gap within the existing literature as it establishes that elevations in paranoia exhibited by Black Americans in the R-GPTS reflect actual differences between groups rather than measurement artifacts.

Alcohol consumption's effects on working memory: Examining familial confounding.

OBJECTIVE: The purpose of our study was to provide a more rigorous test of the causal hypothesis that chronic alcohol use impairs working memory performance. METHOD: We measured linear associations between a latent factor representing alcohol consumption and accuracy across four working memory tasks before and after accounting for familial confounding using a cotwin control design. Specifically, this study examined accuracy through a latent working memory score, the National Institutes of Health (NIH) Toolbox List Sorting, NIH Toolbox Picture Sequence, Penn Word Memory, and 2-back tasks. The study included data from 158 dizygotic and 278 monozygotic twins (Mage = 29 ± 3 years). RESULTS: In our initial sample-wide analysis, we did not detect any statistically significant associations between alcohol use and working memory accuracy. However, our cotwin control analyses showed that twins with greater levels of alcohol use exhibited worse scores on the latent working memory composite measure (B = -.25, CI [-.43, -.08], p < .01), Picture Sequence (B = -.31, CI [-.55, -.08], p < .01), and List Sorting (B = -.28, CI [-.51, -.06 ], p = .01) tasks than did their cotwins. CONCLUSIONS: These results are consistent with a potentially causal relationship between alcohol use and working memory performance that can be detected only after accounting for confounding familial factors. This highlights the importance of understanding the mechanisms that may underlie negative associations between alcohol use and cognitive performance, as well as the potential factors that influence both alcohol behaviors and cognition. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Examination of the mild, moderate, and severe alcohol use disorder severity indicators using a nationally representative sample.

OBJECTIVE: The Diagnostic and Statistical Manual of Mental Disorders, fifth edition conceptualizes alcohol use disorder (AUD) as a single continuum with indicators to denote the level of severity along this spectrum with the presence of 2-3, 4-5, or 6 + symptoms indicating mild, moderate, and severe AUD, respectively. However, despite the labels of these indicators, it remains unclear how individuals compare across these indicators, both in terms of AUD severity, but also risk for other related problems (e.g., depression). METHOD: Confirmatory factor analysis was conducted on past year AUD symptoms to obtain estimates of latent AUD severity using data from the 2020 National Survey on Drug Use and Health (unweighted n = 31,941). The range and distribution of latent trait estimates were then compared across AUD diagnostic statuses (i.e., no AUD, mild, moderate, and severe). Multinomial regressions were then used to compare diagnostic groups based on alcohol use, problems with other substances, treatment utilization, and mental/physical health. RESULTS: Results indicated very limited overlap in latent severity estimates between individuals with different severity indicators. Multinomial regression results demonstrated that some measures increased in a roughly stepwise fashion across AUD indicators (e.g., alcohol use and drinking behavior), while many did not. CONCLUSIONS: Results partially support the current AUD indicators as AUD severity and co-occurring problems did broadly increase across the indicators. However, the present study also explores several ways to improve these indicators in future AUD formulations. For example, having indicators that account not only for the quantitative but also the qualitative differences in AUD presentation at different severity levels. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Examining delusional ideation: Relationships with race and socioeconomic status.

Race and socioeconomic status (SES) are commonly cited as risk factors for psychosis and psychotic-like experiences (PLEs). However, few studies have investigated the relationships between race and SES with specific domains of PLEs. Specifically, little work has examined the relationships between race and SES with delusional ideation, severity (preoccupation, conviction, distress), and delusional themes. Using cross-sectional, general population data (N = 727) from the Nathan Kline Institute-Rockland (NKI-Rockland) database, we investigated racial differences in delusional ideation and severity between Black and White participants, including differences in delusional themes. Then, we investigated SES's relationship with delusional thinking and the interaction between race and SES on delusional thinking. Black American participants endorsed higher delusional ideation with stronger severity than White Americans. A significant interaction between race and delusional theme revealed that Black Americans endorse significantly more delusional ideation in themes of grandiosity, religiosity, and referential-guilt. Black Americans endorse greater delusional severity in grandiose and religious ideations. Black Americans endorse stronger preoccupation and conviction - but not distress-in their referential-guilt ideation. SES was not significantly associated with delusional thinking, nor did SES moderate the significant relationships between race and delusional ideation. These results illuminate the clear racial disparity that exist in delusional ideation within a general population, which did not extend to SES in this dataset. Future work should investigate deeper into the contributory factors to these racial disparities, particularly whether they are based in psychological and/or cultural differences or are the result of assessment/measurement bias.

Why do we focus on the exception and not the rule? Examining the prevalence of mono- versus polysubstance use in the general population.

BACKGROUND AND AIMS: Substance use disorders (SUDs) are predominantly studied as drug class specific constructs (e.g. opioid versus alcohol use disorder). Polysubstance use (PSU), or the use of two or more substances from multiple drug classes, is only captured diagnostically by the co-occurrences of drug class-specific SUDs, and in many ways is relegated to a secondary position within the literature. However, this is not consistent with mounting empirical evidence regarding the high prevalence of PSU patterns compared with a mono-use pattern (i.e. all use contained within a single-drug class). The current study measured how many individuals in the general United States population could be characterized as having a mono-use versus PSU pattern. METHODS: We measured the prevalence of mono-use versus PSU in those who used substances in the past year, those with at least two symptoms of an SUD and in those who received treatment for alcohol/drug problems in the past year using data from the National Survey on Drug Use and Health (NSDUH) from years 2015-19. RESULTS: Of those who used substance(s) in the past year, 64% reported a mono-use pattern. Importantly, only 26% of those who had at least two symptoms of an SUD and 22% of those who received treatment for substance use reported a mono-use pattern. CONCLUSIONS: Although mono-use of drugs is common in the United States at the public health level, it is a much less common presentation than polysubstance use (PSU) among individuals of even mild substance use disorder severity. This means that common efforts to study substances in isolation do not focus upon the most common presentation of the phenomenon. We discuss the importance and implications of embracing a PSU framework in the study of substance misuse and substance use disorders.

Defining Prescription Drug Misuse: A Naturalistic Evaluation of National Survey on Drug Use and Health Data From 2012-2014 to 2015-2017.

OBJECTIVES: Prescription drug misuse (PDM) is a significant public health problem. As research has evolved, the definitions of misuse have varied over time, yet the implications of this variability have not been systematically studied. The objective of this study was to leverage a change in the measurement of PDM in a large population survey to identify its impact on the prevalence and correlates of this behavior. METHODS: Data from the National Survey on Drug Use and Health were compared before and after a change in the definition of PDM from one that restricted the source and motive for use to one that captured any misuse other than directed by a prescriber. Three-year cohorts were constructed, representing a restricted definition of PDM (2012-2014) and a broad definition of PDM (2015-2017). RESULTS: Segmented logistic regression models indicated a significant increase in PDM prevalence for all 3 drug types examined (opioids, tranquilizers, and sedatives). Although the magnitude of differences varied somewhat based on drug type, the broader definition was generally associated with older age, higher prevalence of health insurance, and higher odds of misusing one's own prescription. Some worsening of mental health indicators was observed, but results indicated few other clinical or substance use differences. CONCLUSIONS: Definitions of prescription drug misuse have a substantial impact on the prevalence of misuse and some impact on the characteristics of the population. Further research is needed to understand the optimal strategy for measuring this behavior, based on the scientific or public health question or interest.

Race and self-reported paranoia: Increased item endorsement on subscales of the SPQ.

There is a dearth of research examining how individual-level and systemic racism may lead to elevated diagnostic and symptom rates of paranoia in Black Americans. The present study employed item response theory methods to investigate item- and subscale-level functioning in the Schizotypal Personality Questionnaire (SPQ) in 388 Black and 450 White participants across the schizophrenia-spectrum (i.e., non-psychiatric controls, individuals with schizophrenia, schizoaffective disorder, or schizotypal personality disorder). It was predicted that (1) Black participants would score significantly higher than Whites on the Suspiciousness and Paranoid Ideation subscale of the SPQ, while controlling for total SPQ severity and relevant demographics and (2) Black participants would endorse these subscale items at a lower latent severity level (i.e., total SPQ score) compared to Whites. Generalized linear modeling showed that Black participants endorsed higher scores on subscales sampling paranoia (e.g., Suspiciousness and Paranoid Ideation), while White participants endorsed higher rates within disorganized/positive symptomatology subscales (e.g., Odd or Eccentric Behavior). IRT analyses showed that Black individuals also endorse items within the Suspiciousness and Paranoid Ideation subscale at lower latent severity levels, leading to inflated subscale scores when compared to their White counterparts. Results indicate prominent race effects on self-reported paranoia as assessed by the SPQ. This study provides foundational data to parse what could be normative endorsements of paranoia versus indicators of clinical risk in Black Americans. Implications and recommendations for paranoia research and assessment are discussed.

An exploration of multivariate symptom clusters of cannabis use disorder in young adults.

AIMS: Since the release of the DSM-V, CUD has been understood as a unidimensional construct. However, continued research has identified separate symptom clusters relating to consumption, loss of control, and withdrawal within substance use disorder criteria that may pose separate risk factors and functional difficulties. The current study aims to examine how symptom clusters commonly manifest in young adults that use cannabis using a latent class analysis (LCA) and explore how these clusters are related to co-occurring psychological constructs. METHODS: 1174 (aged 18-34) participants completed a battery of assessments on substance use and other psychological constructs. LCA was conducted on 17 symptoms corresponding with DSM-V CUD criteria. Multinomial regressions were used to examine class membership and commonly co-occurring psychopathology and psychological constructs. RESULTS: LCA results identified a 'No problems' class, a 'Moderate consumption' class characterized by moderate probability of endorsing consumption items, a 'Consumption with Moderate Loss of Control' class, characterized by endorsing consumption and loss of control items but minimal endorsement of withdrawal items, a 'Consumption with Moderate Withdrawal' class characterized by moderate probability of endorsing all item types, and 'High Consumption, Loss of Control, Withdrawal' class characterized by high probability of endorsing all items. Multinomial regressions indicated some class differences in psychological constructs. CONCLUSIONS: Symptom clusters differed in terms of CUD criteria, especially for those in our sample with moderate/severe problems. Findings suggest intervention efforts may benefit from treatment targeted at various presentations of CUD.

Applying network analysis to investigate substance use symptoms associated with drug overdose.

BACKGROUND: Drug overdose deaths have been increasing over the last several decades. While single substance classes, such as opioids, have been implicated in this rise, less is known about the contributions of polysubstance use (PSU) and other combinations of specific substances and symptoms that may be a risk factor for drug overdose. METHODS: Symptoms of alcohol, cannabis, and other drug use disorders, as well as co-substance use indicators, were assessed and then examined via network analysis in a sample of young adults (N = 1540). Features of the estimated symptom network were investigated, including topology and node centrality, as well as bridge centrality, which further examines node centrality while accounting for the nodes belonging to discrete communities. RESULTS: Individual symptoms were more strongly associated with other symptoms within the same substance class than across substance classes. Tolerance and withdrawal symptoms were the most central items in the network. However, when accounting for symptoms belonging to discrete substance classes, drug overdose emerged as a strong bridge symptom, among others. CONCLUSIONS: As a strong bridge symptom, drug overdose had many connections with a variety of substances and symptoms, which might suggest that risk for drug overdose may be a function of overall substance use severity. Altogether, examining alcohol and substance use symptoms using a network analytic framework provided novel insights into the role PSU might play in conferring risk for drug overdose.

Slower rates of learning to inhibit behavior in alcohol use disorder.

OBJECTIVE: Alcohol use disorder (AUD) is associated with passive avoidance learning (PAL) deficits. This study investigated PAL deficits in AUD by using a novel growth model approach to quantify patterns of PAL as changes in false alarms over time, rather than the typical index of total false alarms in a PAL task. METHOD: Subjects, 112 (58 men; 54 women) with an AUD and 110 controls (44 men; 66 women), were administered a monetary incentive Go/No-Go task. Subjects could win $0.25 for a hit (response after a GO) or lose $0.25 for a false alarm. RESULTS: PAL rate was quantified as the slope of initial learning phase (across the first 5 blocks) on the Go/No-Go task. The PAL curves indicated rapid learning in first 5 blocks followed by a later slower learning across blocks 6-9 (consolidation phase). A piecewise growth model with random intercepts indicated that AUD status was significantly associated with a slower initial PAL (i.e. learning phase), with B = -0.69, p < 0.001 for the control group and a PAL slope of 0.13 higher for the AUD group indicating a slower learning rate in the AUD group. This effect was not observed in the consolidation phase. CONCLUSIONS: The results suggest that those with an AUD have greater difficulty learning to avoid negative consequences compared with controls. The results also suggest that measuring PAL rate by focusing on the rate of learning early in the task may be a better index of PAL learning than simply looking at overall false alarm rate. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Is lower severity alcohol use disorder qualitatively different than more severe manifestations? An evaluation of multivariate symptom clusters.

BACKGROUND AND AIMS: Alcohol use disorder (AUD), since the release of DSM-V, is conceptualized and studied as a unidimensional construct. However, previous research has identified clusters of AUD symptoms related to excessive consumption/tolerance, loss of control/social dysfunction and withdrawal/craving that have shown differential genetic risks, personality associations and predictive ability. Although past 'variable-centered' (e.g. factor-analytic) studies have demonstrated the importance of these clusters, the current study aimed to examine how these clusters commonly manifest using a 'person-centered' approach (e.g. latent class). DESIGN: Cross-sectional in-person assessment. SETTING: Indiana, USA. PARTICIPANTS: A convenience sample of 1390 young adults (mean age = 21.43, SD = 2.47) recruited for an over-representation of alcohol problems (65% with AUD). MEASUREMENTS: Latent class analysis (LCA) was conducted on 23 criteria from the Semi-Structured Interview on the Genetics of Alcoholism (SSAGA) that align with DSM-V AUD symptoms. Identified latent classes were characterized using multinomial regressions to examine the association of class and measures of alcohol use, other externalizing psychopathology, internalizing problems and personality. FINDINGS: LCA results identified a 'Low Problems' class (34% of sample), a 'Heavy Consumption' class (26%) characterized by high endorsement probabilities of essentially only consumption/tolerance symptoms, a 'Consumption and Loss of Control' class (31%) characterized by endorsing consumption/tolerance and loss of control/social dysfunction symptoms, and finally a 'Consumption, Loss of Control and Withdrawal' class (9%) characterized by high endorsement probabilities of all symptom clusters. Multinomial regression results indicated an increasing spectrum of severity in terms of psychological impairment. CONCLUSIONS: AUD appears to manifest as different clusters of symptoms at different severity levels.

The Sensory Gating Inventory-Brief.

The Sensory Gating Inventory (SGI) is a 36-item measure used to assess an individual's subjective ability to modulate, filter, over-include, discriminate, attend to, and tolerate sensory stimuli. Due to its theoretical and empirical link with sensory processing deficits, this measure has been used extensively in studies of psychosis and other psychopathology. The current work fills a need within the field for a briefer measure of sensory gating aberrations that maintains the original measure's utility. For this purpose, large samples (total n = 1552) were recruited from 2 independent sites for item reduction/selection and brief measure validation, respectively. These samples reflected subgroups of individuals with a psychosis-spectrum disorder, at high risk for a psychosis-spectrum disorder, nonpsychiatric controls, and nonpsychosis psychiatric controls. Factor analyses and item-response models were used to create the SGI-Brief (SGI-B; 10 Likert-rated items), a unidimensional self-report measure that retains the original SGI's transdiagnostic (ie, present across disorders) utility and content breadth. Findings show that the SGI-B has excellent psychometric properties (alpha = 0.92) and demonstrates external validity through strong associations with measures of psychotic symptomatology, theoretically linked measures of personality (eg, perceptual dysregulation), and modest associations with laboratory-based sensory processing tasks in the auditory and visual domains on par with the original version. Accordingly, the SGI-B will be a valuable tool for dimensional and transdiagnostic examination of sensory gating abnormalities within clinical science research, while reducing administrator and participant burden.

The problems with delay discounting: a critical review of current practices and clinical applications.

Delay discounting paradigms have gained widespread popularity across clinical research. Given the prevalence in the field, researchers have set lofty expectations for the importance of delay discounting as a key transdiagnostic process and a 'core' process underlying specific domains of dysfunction (e.g. addiction). We believe delay discounting has been prematurely reified as, in and of itself, a core process underlying psychological dysfunction, despite significant concerns with the construct validity of discounting rates. Specifically, high delay discounting rates are only modestly related to measures of psychological dysfunction and therefore are not 'core' to these more complex behavioral problems. Furthermore, discounting rates do not appear to be specifically related to any disorder(s) or dimension(s) of psychopathology. This raises fundamental concerns about the utility of discounting, if the measure is only loosely associated with most forms of psychopathology. This stands in striking contrast to claims that discounting can serve as a 'marker' for specific disorders, despite never demonstrating adequate sensitivity or specificity for any disorder that we are aware of. Finally, empirical evidence does not support the generalizability of discounting rates to other decisions made either in the lab or in the real-world, and therefore discounting rates cannot and should not serve as a summary measure of an individual's decision-making patterns. We provide recommendations for improving future delay discounting research, but also strongly encourage researchers to consider whether the empirical evidence supports the field's hyper-focus on discounting.

Bifactor Structure of the Schizotypal Personality Questionnaire Across the Schizotypy Spectrum.

Despite widespread use in schizophrenia-spectrum research, uncertainty remains around an empirically supported and theoretically meaningful factor structure of the Schizotypal Personality Questionnaire (SPQ). Current identified structures are limited by reliance on exclusively nonclinical samples. The current study compared factor structures of the SPQ in a sample of 335 nonpsychiatric individuals, 292 schizotypy-spectrum individuals (schizophrenia, schizoaffective disorder, or schizotypal personality disorder), and the combined group (N = 627). Unidimensional, correlated, and hierarchical models were assessed in addition to a bifactor model, wherein subscales load simultaneously onto a general factor and a specific factor. The best-fitting model across samples was a two-specific factor bifactor model, consistent with the nine symptom dimensions of schizotypy as primarily a direct manifestation of a unitary construct. Such findings, for the first time demonstrated in a clinical sample, have broad implications for transdiagnostic approaches, including reifying schizotypy as a construct underlying diverse manifestations of phenomenology across a wide range of severity.

Examining the Utility of a General Substance Use Spectrum Using Latent Trait Modeling.

BACKGROUND: Polysubstance use (PSU; lifetime use of multiple substances) is common among individuals with problematic alcohol/substance use and is associated with poor prognosis and poor physical/mental health. Furthermore, simultaneous co-use of substances, such that drug effects overlap, is also common and related to unique risks (e.g. overdose). Despite the importance of PSU, current diagnostic systems continue to conceptualize problems with alcohol/substances as class-specific constructs (e.g. Stimulant Use Disorder), which essentially ignore many unique PSU processes. METHODS: The current study modeled problems with alcohol, cannabis, stimulants, sedatives, opiates, and simultaneous co-use of these substances as a manifestation of a general substance use continuum versus as correlated class-specific constructs in a sample of young-adults(n = 2482) using confirmatory factor analysis. Utility of the models was evaluated by examining associations between the general substance use spectrum and class-specific latent factors with measures of anxiety, ADHD, adult antisocial problems, borderline symptoms, neuroticism, and intelligence in a subset of the sample(n=847). RESULTS: Findings supported the conceptualization of problems with all substances, including co-use of substances, as being manifestations of a general substance use spectrum, as class-specific constructs were not differentially associated with other measures of psychological dysfunction. Examination of this general substance use spectrum indicated that all substances, separately and co-use, were robustly informative of this spectrum, but tended to discriminate between different severity levels. DISCUSSION: The general substance use spectrum allows for integration of information from the use and co-use of all substances to provide better assessment of overall problems with substances compared to class-specific constructs.

Double trouble: Do symptom severity and duration interact to predicting treatment outcomes in adolescent depression?

Studies suggest that depression severity and duration interact to predict outcomes in depression treatment. To our knowledge, no study has explored this question in a sample with a placebo control, two therapies, and their combination nor with adolescents. We used data from the Treatment of Adolescent Depression Study (N = 439), in which adolescent were randomized to placebo (PBO), cognitive-behavioral therapy (CBT), antidepressants medications (MEDs), or their combination (COMB). We explore the interaction between depression severity, chronicity, and treatments (vs. placebo) in predicting outcomes. There was interaction between severity and chronicity when comparing COMB and CBT with PBO, but not MEDs. In non-chronic depression, the effects of CBT were inversely related to severity to the point that CBT appeared iatrogenic with more severe depression. In chronic depression, the effects of CBT did not vary by severity, but the relative effects of COMB grew, being smallest in milder, more dysthymic-like depression, and largest in chronic-severe depression. These findings support calls to classify depression by severity and chronicity as well efforts to risk stratify patients to different intensity of care according to these variables.

Intelligence moderates the relationship between delay discounting rate and problematic alcohol use.

Individuals with problematic alcohol use discount larger delayed rewards at higher rates relative to smaller immediate rewards compared with healthy controls. Lower executive function ability, including lower general intelligence quotient (IQ), is associated with both high delay discounting rates and more lifetime alcohol-related problems. Although problematic alcohol use, delay discounting rates, and IQ are all significantly associated, we know little about the nature of their interrelationships. This study tests the hypothesis that IQ moderates the association between delay discounting rates and measures of problematic alcohol use. Lifetime alcohol-related problems, drinking levels over the past 2 weeks, IQ, and delay discounting were assessed in a sample of 617 young adults (303 female). Higher delay discounting rates were associated with more lifetime alcohol problems, more recent alcohol use, and lower IQ. However, analyses also revealed that IQ moderated the association between delay discounting rates and lifetime alcohol problems as well as high levels of recent alcohol use. Delay discounting rates were more strongly associated with both lifetime alcohol problems and higher levels of recent alcohol consumption for those with higher IQ compared with those with lower IQ. Results indicate that discounting rewards at higher rates may indicate an important risk factor for problematic alcohol use in individuals with high IQ, whereas this association may be blunted in individuals with low IQ because of their uniformly elevated discounting rates and higher problematic alcohol use. (PsycINFO Database Record (c) 2020 APA, all rights reserved).