The impact of the COVID-19 pandemic on alcohol use disorder symptoms: Testing interactions with polygenic risk.

Objective: The purpose of this study was to test whether COVID impact interacts with genetic risk (polygenic risk score/PRS) to predict alcohol use disorder (AUD) symptoms. Method: Participants were n = 455 college students (79.6% female, 51% European Ancestry/EA, 24% African Ancestry/AFR, 25% Americas Ancestry/AMER) from a longitudinal study during the initial stage (March-May 2020) of the pandemic. Path models allowed for the examination of PRS and previously identified COVID-19 impact constructs. Results: There was a main effect of the AUD PRS on AUD symptoms within the EA group (ß: .165, p < .01). Additionally, food/housing insecurity was predictive in the AMER group (ß.295, p < .05), and greater increases in substance use were associated with AUD symptoms for EA (ß:.459, p < .001) and AMER groups (ß:.468, p < .001). Conclusions: Greater food/housing instability and increases in substance use, as well higher scores on PRS are associated with more AUD symptoms for some ancestral groups within this college sample.

Parental Divorce and Trajectories of Alcohol Consumption in Men: A Genetically Informative Perspective.

OBJECTIVE: Much of what is known about parental divorce and adult alcohol outcomes comes from cross-sectional comparisons of those who did and did not experience parental divorce. In contrast, far less is known about whether and how parental divorce is associated with alcohol consumption trajectories. We used a longitudinal perspective to investigate the associations between parental divorce and men's alcohol consumption trajectories as well as a genetically informative approach to evaluate whether the pattern of genetic and environmental influences on these trajectories differed for men who did and did not experience parental divorce. METHOD: The sample included 1,614 adult men from a population-based twin registry in Virginia. Measures of parental divorce (before age 16) and alcohol consumption (between ages 10 and 40) came from interviews and life history calendars. Data were analyzed with growth curve and longitudinal biometric variance component models. RESULTS: In total, 11% of the sample experienced parental divorce. Parental divorce was associated with higher alcohol consumption intercepts that were sustained over time but was not associated with the linear slope or quadratic curvature of men's alcohol consumption trajectories. Longitudinal biometric variance components modeling indicated that genetic influences on alcohol consumption were higher in adolescence and young adulthood among those who experienced parental divorce compared with those who did not. CONCLUSIONS: Parental divorce is associated with the shape and relative influence of genetic and environmental factors on men's alcohol consumption trajectories from adolescence through adulthood.

A population-based twin study of the symptomatic diagnostic criteria for major depression that occur within versus outside of major depressive episodes.

BACKGROUND: Are genetic risk factors for current depressive symptoms good proxies for genetic risk factors for syndromal major depression (MD)? METHODS: In over 9000 twins from the population-based Virginia Adult Twin Study of Psychiatric and Substance Use Disorders, the occurrence of all nine DSM symptomatic criteria for MD in the last year was assessed at personal interview and then grouped by their temporal co-occurrence. The DSM criteria which occurred outside (OUT) v. inside of (IN) MD episodes were then separated. We calculated tetrachoric correlations for OUT and IN depressive criteria in monozygotic (MZ) and dizygotic (DZ) pairs and fitted univariate and bivariate ACE twin models using OpenMx. RESULTS: The mean twin correlations (±95% CIs) for IN depressive criteria were substantially higher than for OUT depressive criteria in both MZ [+0.35 (0.32-0.38) v. 0.20 (0.17-0.24)] and DZ pairs [0.20 (0.17-0.24) v. 0.10 (0.04-0.16]. The mean IN-OUT cross-correlation in MZ and DZ pairs was modest [+0.15 (0.07-0.24) and +0.07 (0.03-0.12)]. The mean heritability estimates for the nine In v. Out depressive criteria was 0.31 (0.22-0.41) and 0.15 (0.08-0.21), in MZ and DZ pairs, respectively. The mean genetic correlation between the nine IN and OUT depressive criteria was +0.07 (-0.07 to 0.21). CONCLUSIONS: Depressive criteria occurring outside depressive episodes are less heritable than those occurring within. These two ways criteria can manifest are not closely genetically related. Current depressive symptoms - most of which are occurring outside of depressive episodes - are not, for genetic studies, good proxies for MD.

Quantifying skip-out information loss when assessing major depression symptoms.

Large-scale mental health surveys screen participants for the presence of the core diagnostic criteria of a mental disorder such as major depressive disorder (MDD). Only participants who screen positive are administered the full diagnostic module; the remainder "skip-out." Although this procedure adheres faithfully to the psychiatric classification of mental disorders, it limits the use of the resulting survey data for conducting high-quality research of importance to scientists, clinicians, and policymakers. Here, we conduct a series of exploratory analyses using the Virginia Adult Twin Study of Psychiatric and Substance Use Disorders (VATSPSUD) data, a unique survey which suspended the skip-out procedure for assessing past-year MDD. Adult twins (N = 8,980) born between 1930 and 1974 were recruited from a multiple-birth record database established in 1980 and interviewed in mid-adulthood between 1987 and 1996. We compared the: (a) prevalence and levels of impairment of the diagnostic criteria (and disaggregated symptom items) of adults screening positive/negative and (b) patterns of associations between MDD diagnostic criteria (and disaggregated symptom items) under three conditions: (a) full data; (b) "skip-out" data substituted with zeros; and (c) "skip-out" data treated via listwise deletion. Important differences in the patterns of associations between diagnostic criteria and disaggregated symptom sets emerged which changed the statistical evidence regarding the dimensionality of the criteria/symptom items (i.e., Condition C). An ill-defined correlation matrix which was unsuitable for statistical analysis was produced (i.e., Condition B). Given the problems with these widely used approaches, we offer researchers and data analysts practical alternatives to using the skip-out procedure in future surveys. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Network modeling of major depressive disorder symptoms in adult women.

BACKGROUND: Major depressive disorder (MDD) is one of the growing human mental health challenges facing the global health care system. In this study, the structural connectivity between symptoms of MDD is explored using two different network modeling approaches. METHODS: Data are from 'the Virginia Adult Twin Study of Psychiatric and Substance Use Disorders (VATSPSUD)'. A cohort of N = 2163 American Caucasian female-female twins was assessed as part of the VATSPSUD study. MDD symptoms were assessed using personal structured clinical interviews. Two network analyses were conducted. First, an undirected network model was estimated to explore the connectivity between the MDD symptoms. Then, using a Bayesian network, we computed a directed acyclic graph (DAG) to investigate possible directional relationships between symptoms. RESULTS: Based on the results of the undirected network, the depressed mood symptom had the highest centrality value, indicating its importance in the overall network of MDD symptoms. Bayesian network analysis indicated that depressed mood emerged as a plausible driving symptom for activating other symptoms. These results are consistent with DSM-5 guidelines for MDD. Also, somatic weight and appetite symptoms appeared as the strongest connections in both networks. CONCLUSIONS: We discuss how the findings of our study might help future research to detect clinically relevant symptoms and possible directional relationships between MDD symptoms defining major depression episodes, which would help identify potential tailored interventions. This is the first study to investigate the network structure of VATSPSUD data using both undirected and directed network models.

The structure of the symptoms of major depression: Factor analysis of a lifetime worst episode of depressive symptoms in a large general population sample.

BACKGROUND: A range of depressive symptoms may occur during an episode of major depression (MD). Do these symptoms describe a single disorder liability or different symptom dimensions? This study investigates the structure and clinical relevance of an expanded set of depressive symptoms in a large general population sample. METHODS: We studied 43,431 subjects from the Dutch Lifelines Cohort Study who participated in an online survey assessing the 9 symptom criteria of MD (DSM-IV-TR) and additional depressive symptoms during their worst lifetime episode of depressive symptoms lasting two weeks or more. Exploratory factor analyses were performed on expanded sets of 9, 14, and 24 depressive symptoms. The clinical relevance of the identified symptom dimensions was analyzed in confirmatory factor analyses including ten external validators. RESULTS: A single dimension adequately accounted for the covariation among the 9 DSM-criteria, but multiple dimensions were needed to describe the 14 and 24 depressive symptoms. Five dimensions described the structure underlying the 24 depressive symptoms. Three cognitive affective symptom dimensions were mainly associated with risk factors for MD. Two somatic dimensions -appetite/weight problems and sleep problems-were mainly associated with BMI and age, respectively. LIMITATIONS: Respondents of our online survey tended to be more often female, older, and more highly educated than non-respondents. CONCLUSIONS: Different symptom dimensions described the structure of depressive symptoms during a lifetime worst episode in a general population sample. These symptom dimensions resembled those reported in a large clinical sample of Han-Chinese women with recurrent MD, suggesting robustness of the syndrome of MD.

Patterns and Correlates of Polysubstance Use Among Individuals With Severe Alcohol Use Disorder.

AIM: The present study examined patterns and correlates of polysubstance use among individuals with severe alcohol use disorder (AUD). METHODS: Participants were 2785 individuals (63% female; mean age = 43 years, range = 18-78 years) from the Genes, Addiction and Personality Study. All participants met lifetime criteria for severe AUD (6+ symptoms). We used latent class analysis to identify patterns of frequency of lifetime use for cigarettes, marijuana, cocaine, stimulants, sedatives, opioids and hallucinogens. A variety of demographic and behavioral correlates of latent class membership were tested in univariable and multivariable models. RESULTS: A five-class solution was selected: extended range polysubstance use (24.5%); cigarette and marijuana use (18.8%); 'testers,' characterized by high probabilities of smoking 100 or more cigarettes, using marijuana 6+ times, and trying the remaining substances 1-5 times (12.3%); moderate range polysubstance use (17.1%) and minimal use (reference class; 27.3%). In univariable analyses, all potential correlates were related to latent class membership. In the multivariable model, associations with gender, race/ethnicity, age of onset for alcohol problems, dimensions of impulsivity, depressive symptoms, antisocial behavior and family history density of alcohol problems remained significant, though the pattern and strength of associations differed across classes. For instance, sensation-seeking, lack of premeditation and family history were uniquely associated with membership in the extended range polysubstance use class. CONCLUSION: Patterns of polysubstance use are differentially related to demographic and behavioral factors among individuals with severe AUD. Assessing use across multiple substances may inform the selection of targets for treatment and prevention.

Role of parental divorce and discord in the intergenerational transmission of alcohol use disorder.

BACKGROUND: Alcohol use disorder (AUD) has a strong familial component, and is associated with divorce and relationship discord. The purpose of this study was to test whether exposure to parental divorce and parental relationship discord contributes to the intergenerational transmission of AUD. METHODS: The sample included N = 9005 adult twins (43% female) from the Virginia Adult Twin Study of Psychiatric and Substance Use Disorders. Participant AUD diagnoses were derived from structured clinical interviews based on DSM-IV alcohol dependence. Participants also reported on parental divorce and parental AUD. In addition, direct psychiatric interview data and measures of relationship discord were available for a subsample of parents of female-female twin pairs (855 mothers, 617 fathers). Indirect effects models were fit and tested using a robust maximum likelihood estimator with Monte Carlo integration. RESULTS: Path and structural equation modeling results provided strong support for the intergenerational transmission of AUD, and indicated that parental AUD had indirect effects on offspring AUD through exposure to parental divorce and parental relationship discord. Effects were consistent across males and females. CONCLUSIONS: In a population-based adult twin sample, exposure to parental divorce and relationship discord appears to be important for understanding the intergenerational transmission of AUD. These effects are broadly consistent with the idea of genetic nurturance, whereby parents transmit genetic risk for alcohol use disorder to their children indirectly via heritable aspects of the home environment. Ultimately, this etiological information could bolster engagement with skills-based therapeutic efforts used in substance-related preventive interventions for divorced or distressed families.

The COVID-19 pandemic impacts psychiatric outcomes and alcohol use among college students.

Background: The COVID-19 pandemic has imposed fundamental challenges on nearly every area of life. Objective: The purpose of the current study was to expand on the literature on the impact of the pandemic on college students by a) examining domains of impact of the pandemic on psychiatric and alcohol outcomes and b) controlling for pre-pandemic outcomes. Method: Participants included 897 college students (78.6% female) from a larger longitudinal study on college student mental health. Structural equation models were fit to examine how COVID-19 impact (exposure, worry, food/housing insecurity, change in social media use, change in substance use) were associated with PTSD, anxiety, depression, suicidal ideation, and alcohol phenotypes. Models were fit to adjust for pre-pandemic symptoms. Results: No effects of COVID-19 exposure remained after adjusting for earlier outcomes. COVID-19 worry predicted PTSD, depression, and anxiety, even after adjusting for earlier levels of outcomes (ß's: .091-.180, p's < .05). Housing/food concerns predicted PTSD, anxiety, and depression symptoms as well as suicidal ideation (ß's: .085-.551, p's < .05) after adjusting for earlier levels of symptoms. Change in media use predicted alcohol consumption (ß's: ± .116-.197, p's < .05). Change in substance use affected all outcomes except suicidality (ß's: .112-.591, p's < .05). Conclusions: Domains of COVID-19 impact had differential effects on mental health and substance outcomes in college students during the first wave of the coronavirus pandemic. Future studies should examine the trajectory of these factors on college student mental health across waves of the pandemic.

Antecedentes: La pandemia de COVID-19 ha impuesto desafíos fundamentales en prácticamente todas las áreas de la vida.Objetivo: El propósito del presente estudio fue ampliar la literatura sobre el impacto de la pandemia en estudiantes universitarios, a) examinando dominios de impacto de la pandemia sobre resultados psiquiátricos y de alcohol, y b) controlando por resultados pre-pandemia.Método: Los participantes incluyeron 897 estudiantes universitarios (78,6% mujeres) de un estudio longitudinal más grande sobre salud mental de estudiantes universitarios. Se ajustaron modelos de ecuaciones estructurales para examinar cómo se asociaba el impacto del COVID-19 (exposición, preocupación, inseguridad de alimentos/habitación, cambio en el uso de medios sociales, cambio en uso de sustancias) con los fenotipos TEPT, ansiedad, depresión, ideación suicida y alcohol. Los modelos se ajustaron por síntomas pre-pandémicos.Resultados: No permanecieron efectos de la exposición al COVID-19 luego de ajustar por resultados previos. La preocupación por el COVID-19 predijo TEPT, depresión y ansiedad incluso luego de ajustar por niveles previos de resultados (ß's: .091­.180, p's < .05). Los problemas de habitación/alimentación predijeron síntomas de TEPT, ansiedad y depresión así como también ideación suicida (ß's: .085­.551, p's < .05) después de ajustar por niveles sintomáticos previos. El cambio en el uso de medios predijo el consumo de alcohol (ß's: ±.116­.197, p's < .05). El cambio en el uso de sustancias afectó a todos los resultados excepto suicidalidad (ß's: .112­.591, p's < .05).Conclusiones: Los dominios de impacto del COVID-19 tuvieron diferentes efectos sobre los resultados de salud mental y uso de sustancias en estudiantes universitarios durante la primera ola de la pandemia de coronavirus. Futuros estudios deberían examinar la trayectoria de esos factores en la salud mental de estudiantes universitarios a través de las olas de la pandemia.

Intermediate stable states in substance use.

Many people across the world use potentially addictive legal and illegal substances, but evidence suggests that not all use leads to heavy use and dependence, as some substances are used moderately for long periods of time. Here, we empirically examine, the stability of and transitions between three substance use states: zero-use, moderate use, and heavy use. We investigate two large datasets from the US and the Netherlands on yearly usage and change of alcohol, nicotine, and cannabis. Results, which we make available through an extensive interactive tool, suggests that there are stable moderate use states, even after meeting criteria for a positive diagnosis of substance abuse or dependency, for both alcohol and cannabis use. Moderate use of tobacco, however, was rare. We discuss implications of recognizing three states rather than two states as a modeling target, in which the moderate use state can both act as an intervention target or as a gateway between zero use and heavy use.

Modeling the association between and predictors of two constructs of resilience.

PURPOSE: Resilience serves as a protective factor against adverse outcomes following exposure to traumatic events. The extant literature focuses on psychiatric resilience in the context of internalizing symptoms, though resilience is also important in relation to externalizing symptoms. Research is needed to clarify the predictors of resilience across contexts. The aims of the current study are twofold: 1. Determine the association between psychiatric resilience (PR) and alcohol resistance (AR) and 2. Test for differential prediction of each form of resilience by exogenous predictors. METHODS: The sample (n = 7585) was drawn from the Virginia Adult Twin Studies of Psychiatric and Substance Use Disorders (VATSPSUD). Participants completed measures of internalizing symptoms, exposure to stressful life events, DSM alcohol abuse and dependence symptoms, maximum alcohol consumption, personality variables, and social support. All cross-sectional, structural equation modeling (SEM) analyses were conducted using Mplus software version 8.2. RESULTS: A single common factor model provided adequate fits for both PR and AR. In the full measurement model the correlation between the two resilience factors was estimated (r = 0.28, SE = 0.018, p < 0.001). Neuroticism and mastery predicted AR and PR, but differentially, with a stronger effect size for PR (neuroticism: B = 0.35, p < 0.001; mastery: B = - 0.36, p < 0.001). The positive social support factor did not predict either resilience variable, while interpersonal conflict was associated with both (AR = 0.09, p < 0.001; PR = 0.07, p < 0.001). CONCLUSIONS: Findings extend the current literature on resilience in two ways. First, rigorous measurement model based definitions of two resilience variables are specified. Second, external validation of the AR and PR constructs is carried out using latent variable modeling techniques. The modest correlation suggests resilience may not be well-characterized by a single general attribute. Findings provide further evidence for predictors of resilience by way of displaying differential patterns of prediction effect sizes of PR and AR.

A topography of 21 phobic fears: network analysis in an epidemiological sample of adult twins.

BACKGROUND: Few factor analyses and no network analyses have examined the structure of DSM phobic fears or tested the specificity of the relationship between panic disorder and agoraphobic fears. METHODS: Histories of 21 lifetime phobic fears, coded as four-level ordinal variables (no fear to fear with major interference) were assessed at personal interview in 7514 adults from the Virginia Twin Registry. We estimated Gaussian Graphical Models on individual phobic fears; compared network structures of women and men using the Network Comparison Test; used community detection to determine the number and nature of groups in which phobic fears hang together; and validated the anticipated specific relationship between panic disorder and agoraphobia. RESULTS: All networks were densely and positively inter-connected; networks of women and men were structurally similar. Our most frequent and stable solution identified four phobic clusters: (i) blood-injection, (ii) social-agoraphobia, (iii) situational, and (iv) animal-disease. Fear of public restrooms and of diseases clustered with animal and not, respectively, social and blood-injury phobias. When added to the network, the three strongest connections with lifetime panic disorder were all agoraphobic fears: being in crowds, going out of the house alone, and being in open spaces. CONCLUSIONS: Using network analyses applied to a large epidemiologic twin sample, we broadly validated the DSM-IV typography but did not entirely support the distinction of agoraphobic and social phobic fears or the DSM placements for fears of public restrooms and diseases. We found strong support for the specificity of the relationship between panic disorder and agoraphobic fears.

Unpacking the impact of the COVID-19 pandemic: identifying structural domains.

Background: The novel coronavirus-19 (COVID-19) pandemic is a collective crisis that imposed an abrupt and unprecedented impact on college students, as universities were closed with little warning. Paired with the challenges associated with physical distancing (e.g. economic stress, job loss, food insecurity, housing challenges) and the simultaneous need to balance continued and new academic demands, impact will be wide-ranging. It is critical to determine the structure of the impact of this heterogeneous stressor (e.g. health concerns, pandemic worry, financial concerns) for prevention and intervention planning. Objective: Through an existing recruitment pipeline we were in a unique position to study the wide-ranging reach of this pandemic in a cohort of students for whom their university experiences were like no other cohort in history. Method: Data were collected from students who were in their third year of college during the onset of the pandemic; of the N = 1,899 in the cohort who were invited to participate in this COVID-related survey, 897 (47.2%) completed measures of impact between May and July of 2020. Results: A series of confirmatory and exploratory models were fit to examine the structure of the pandemic-related domains. Following estimation of a single-factor model, a correlated five factors model, as well as two second-order factor structures, the five correlated factors (exposure, worry, housing/food instability, social media, substance use) model was found to represent the data most appropriately, while producing an interpretable solution. Conclusions: These measurement model analyses set the stage for future research to examine how these correlated factors impact psychiatric, substance, and academic outcomes in this vulnerable population.

Antecedentes: La nueva pandemia de coronavirus-19 (COVID-19) es una crisis colectiva que impuso un impacto abrupto y sin precedentes en los estudiantes universitarios, ya que las universidades se cerraron con poco aviso. Junto con los desafíos asociados al distanciamiento físico (por ejemplo, el estrés económico, la pérdida de empleo, la inseguridad alimentaria, los problemas de vivienda) y la necesidad simultánea de equilibrar las demandas académicas continuas y nuevas, el impacto será de gran alcance. Es fundamental determinar la estructura del impacto de estos estresores heterogéneos (por ejemplo, las preocupaciones de salud, la preocupación por la pandemia, las preocupaciones financieras) para la planificación de la prevención y la intervención.Objetivo: A través de una línea de reclutamiento existente, nos encontramos en una posición única para estudiar el amplio alcance de esta pandemia en una cohorte de estudiantes para quienes sus experiencias universitarias fueron como ninguna otra cohorte en la historia.Método: Se recogieron datos de estudiantes que estaban en su tercer año de universidad durante el inicio de la pandemia; de los N = 1.899 de la cohorte que fueron invitados a participar en esta encuesta relacionada con la COVID, 897 (47,2%) completaron las medidas de impacto entre mayo y julio de 2020.Resultados: Se ajustaron una serie de modelos confirmatorios y exploratorios para examinar la estructura de los dominios relacionados con la pandemia. Tras la estimación de un modelo de un solo factor, un modelo correlacionado de cinco factores, así como dos estructuras factoriales de segundo orden, se encontró que el modelo de cinco factores correlacionados (exposición, preocupación, inestabilidad de la vivienda/alimentación, medios sociales, uso de sustancias) representaba los datos de forma más adecuada, a la vez que producía una solución interpretable.Conclusiones: Estos análisis del modelo de medición sientan las bases para futuras investigaciones que examinen cómo estos factores correlacionados impactan en los resultados psiquiátricos, de sustancias y académicos en esta población vulnerable.

Is Delinquency Associated With Subsequent Victimization by Community Violence in Adolescents? A Test of the Risky Behavior Model in a Primarily African American Sample.

OBJECTIVE: Victimization is common in adolescence and is associated with negative outcomes, including school failure, and poor emotional, behavioral, and physical health. A deeper understanding of the risk of victimization can inform prevention and intervention efforts. This study tests the risky behavior model in adolescents, examining prospective associations between mean levels of and changes in delinquency and risk for victimization over four annual data collections. METHOD: Low-income adolescent (53.6% female; M age = 12.13 years, SD = 1.62 years; 91.9% African American) and maternal caregiver dyads (N = 358) residing in urban neighborhoods in the mid-Atlantic region of the United States that had moderate-to-high levels of violence and/or poverty completed separate annual home interviews for 4 years. Maternal caregivers reported on adolescents' delinquent behavior; adolescents reported on their victimization by community violence experiences. RESULTS: Using a latent difference score model, results supported the risky behavior model for the first 2 years, but not the final data collection period. That is, levels of and changes in delinquent behavior were associated with more victimization by community violence at the subsequent time point for the first 2 study years. In contrast, there was no evidence for the opposite, specifically that victimization by community violence predicted delinquency. CONCLUSION: Knowing that both levels of delinquency and increases in delinquency place youth at heightened risk for victimization by community violence provides impetus to intervene. Screening for increases in delinquency among youth may be one way to target youth at high risk for victimization by community violence for fast-tracked intervention.

Longitudinal Examination of the Impact of Resilience and Stressful Life Events on Alcohol Use Disorder Outcomes.

Stressful life events (SLEs) are a risk factor for alcohol use problems, and there is a need for identification of factors that may offset this risk. Resilience is uniquely, inversely associated with alcohol use, but there remains a dearth of research examining the buffering effect of resilience toward alcohol use problems in the context of SLEs. Objectives: This study used prospective data from an epidemiological twin sample (N = 7441) to test whether resilience at Time 1 would act as a buffer for new onset SLEs (e.g. assault, marital problems) against risk for alcohol dependence (AD) symptoms at Time 2. Results: The final model, adjusted for familial relatedness and controlling for demographic covariates and Time 1 (lifetime) AD symptoms, identified significant main effects of resilience and SLEs; those with greater resilience at Time 1 reported fewer symptoms (ß=-.087, p<.001) and those with greater new-onset SLEs reported greater symptoms (ß=.116, p<.001) at Time 2. However, there was no significant interaction (ß=-.008, p>.05). Conclusions: Although findings further support the association of resilience and SLEs with AD, results do not support the conceptualization of resilience as a buffer against the impact of future life stressors on alcohol use outcomes. This suggests other factors may be more relevant for understanding protective factors for alcohol use problems or the relation between resilience and SLEs on alcohol use outcomes.

Psychiatric Resilience and Alcohol Resistance: A Twin Study of Genetic Correlation and Sex Differences.

Variability in psychiatric response following stressful/traumatic life events is frequently observed. There is also variability in propensity for alcohol use disorder (AUD) such that some can consume substantial amounts and not develop AUD symptoms whereas others develop an AUD. Our group has applied discrepancy-based approaches to capture psychiatric resilience (PR) and alcohol resistance (AR), both moderately heritable. This study sought to (1) examine the genetic and environmental correlation of these constructs and (2) model qualitative and quantitative sex effects. Data came from a large twin sample (N = 4501 twin pairs) with self-report measures and interviews assessing distress symptoms, stressful life events, alcohol use, and AUD. Correlated liability model results suggested a moderate degree of genetic correlation between PR and AR (0.54) due to the same genetic factors in males and females. Findings highlight the shared genetic predisposition of these resilience/resistance constructs while emphasizing the impact of unique environmental experiences.

Specific antisocial and borderline personality disorder criteria and general substance use: A twin study.

Antisocial (ASPD) and borderline (BPD) personality disorders (PDs) are associated with increased risk for substance use. They are "specific" risk factors among PDs in that they withstand adjusting for the other PDs, whereas the reverse does not hold. Specificity is a classic sign of causation. This empirical work addresses 3 further problems that can undermine causal inferences in personality and substance-use research: hierarchical nature of etiologic factors in psychiatry, imperfectly operationalized PD criteria, and possible genetic or environmental confounding, as seen in lack of "etiologic continuity." We used exploratory structural equation bifactor modeling and biometric models to mitigate these problems. The participants were Norwegian adult twins of ages 19-36 years (N = 2,801). Criteria for Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), PDs were assessed using a structured interview. General substance-use risk was indicated by World Health Organization Composite International Diagnostic Interviewed alcohol use disorder and illicit drug use, and by self-reported regular smoking. A general risk factor for all criteria of both ASPD and BPD was the strongest individual correlate of general substance use and showed etiologic continuity, though just 3 specific PD criteria could predict substance use to the same extent. The findings indicate that a broad latent factor for both ASPD and BPD may be a specific and a genetically and environmentally unconfounded risk factor for substance use. Substance-use treatment research might benefit from attending to transdiagnostic models of ASPD, BPD, and related behavioral disinhibition. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Data mining algorithm predicts a range of adverse outcomes in major depression.

BACKGROUND: Course of illness in major depression (MD) is highly varied, which might lead to both under- and overtreatment if clinicians adhere to a 'one-size-fits-all' approach. Novel opportunities in data mining could lead to prediction models that can assist clinicians in treatment decisions tailored to the individual patient. This study assesses the performance of a previously developed data mining algorithm to predict future episodes of MD based on clinical information in new data. METHODS: We applied a prediction model utilizing baseline clinical characteristics in subjects who reported lifetime MD to two independent test samples (total n = 4226). We assessed the model's performance to predict future episodes of MD, anxiety disorders, and disability during follow-up (1-9 years after baseline). In addition, we compared its prediction performance with well-known risk factors for a severe course of illness. RESULTS: Our model consistently predicted future episodes of MD in both test samples (AUC 0.68-0.73, modest prediction). Equally accurately, it predicted episodes of generalized anxiety disorder, panic disorder and disability (AUC 0.65-0.78). Our model predicted these outcomes more accurately than risk factors for a severe course of illness such as family history of MD and lifetime traumas. LIMITATIONS: Prediction accuracy might be different for specific subgroups, such as hospitalized patients or patients with a different cultural background. CONCLUSIONS: Our prediction model consistently predicted a range of adverse outcomes in MD across two independent test samples derived from studies in different subpopulations, countries, using different measurement procedures. This replication study holds promise for application in clinical practice.

Impact of disaster exposure severity: Cascading effects across parental distress, adolescent PTSD symptoms, as well as parent-child conflict and communication.

RATIONALE: Natural disasters are common and have potentially deleterious impacts on individuals, as well as on the relationships among family members (Adams et al., 2015; Paul, 2015). Additionally, caregiver-, offspring-, and family-level outcomes are often correlated following disaster. OBJECTIVE: Thus, longitudinal work is needed to clarify the prospective associations among such constructs following severe disasters. METHOD: The current study included 1,271 adolescents and investigated whether disaster exposure impacted adolescent posttraumatic stress disorder (PTSD) symptoms, parent distress, and family parent-child conflict and communication, as well as whether/how these factors influenced one another over time. This study used a dynamic cascade model and included adolescents (ages 12-17) and caregivers present for tornadoes in Missouri and Alabama in 2011. These participants were part of a larger study involving a web-based intervention. RESULTS: Over and above covariates (i.e., adolescent age, gender, race, treatment, prior trauma, adolescent alcohol use and depressive symptoms, and household income), families who experienced greater severity of disaster exposure had adolescents who reported more baseline PTSD symptoms and caregivers who reported more distress at baseline. CONCLUSIONS: Providing tangible resources (e.g., housing, food, transportation, essential possessions) to families post-disaster may reduce parent distress and adolescent PTSD symptoms. Additionally, reducing adolescent PTSD symptoms may prospectively improve relationships between parents and adolescents.

Examination of a novel measure of trauma-related drinking to cope.

OBJECTIVES: The present study sought to fill a gap in the current literature by developing a concise self-report questionnaire assessing drinking motives specific to coping with symptoms of posttraumatic stress disorder (PTSD). This new four-item questionnaire is called the Trauma Related Drinking questionnaire (TRD). METHOD: Using structural equation modeling, the latent structure of the TRD items and how they relate to other variables of interest were explored among a sample of 1,896 college undergraduates from a large public university. RESULTS: Broadly, we found evidence to suggest that TRD is a more specific measure of drinking to cope motives compared to the commonly used Drinking Motives Questionnaire coping subscale. Additionally, findings demonstrate support for the external validation of TRD, both with regard to PTSD and alcohol consumption and related problems. CONCLUSIONS: Results support the use of TRD in future self-medication research and as a clinically useful screening tool.