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.

Genetic associations between alcohol phenotypes and life satisfaction: a genomic structural equation modelling approach.

Alcohol use (i.e., quantity, frequency) and alcohol use disorder (AUD) are common, associated with adverse outcomes, and genetically-influenced. Genome-wide association studies (GWAS) identified genetic loci associated with both. AUD is positively genetically associated with psychopathology, while alcohol use (e.g., drinks per week) is negatively associated or NS related to psychopathology. We wanted to test if these genetic associations extended to life satisfaction, as there is an interest in understanding the associations between psychopathology-related traits and constructs that are not just the absence of psychopathology, but positive outcomes (e.g., well-being variables). Thus, we used Genomic Structural Equation Modeling (gSEM) to analyze summary-level genomic data (i.e., effects of genetic variants on constructs of interest) from large-scale GWAS of European ancestry individuals. Results suggest that the best-fitting model is a Bifactor Model, in which unique alcohol use, unique AUD, and common alcohol factors are extracted. The genetic correlation (rg) between life satisfaction-AUD specific factor was near zero, the rg with the alcohol use specific factor was positive and significant, and the rg with the common alcohol factor was negative and significant. Findings indicate that life satisfaction shares genetic etiology with typical alcohol use and life dissatisfaction shares genetic etiology with heavy alcohol use.

A longitudinal mediational investigation of risk pathways among cannabis use, interpersonal trauma exposure, and trauma-related distress.

OBJECTIVE: College students are at high risk for cannabis use, interpersonal trauma (IPT) exposure, and trauma-related distress (TRD). Two phenotypic etiologic models posited to explain associations between cannabis use and trauma-related phenotypes are the self-medication (trauma/TRD → cannabis use) and high-risk (cannabis use → trauma/TRD) hypotheses. The primary objective of the present study was to investigate direct and indirect associations among cannabis use, IPT exposure, and TRD above and beyond established covariates. METHOD: The current study used data from the first assessment (i.e., baseline survey at Year 1 Fall) and two follow-up assessments (i.e., Year 1 Spring and Year 2 Spring) from an ongoing longitudinal study on college behavioral health. Participants were 4 cohorts of college students (n = 9,889) who completed measures of demographics, substance use, IPT, and TRD. Indirect effects of IPT on cannabis through TRD (i.e., self-medication) and cannabis on TRD through IPT (i.e., high-risk), including tests of covariate effects (e.g., gender, age, race, cohort, alcohol, nicotine), were simultaneously estimated using a longitudinal mediation modeling framework. RESULTS: Results suggest that more IPT exposure increases risk for TRD and subsequent nonexperimental (use 6+ times) cannabis use, and that experimental (use 1-5 times) and nonexperimental cannabis use increases risk for IPT exposure and subsequent TRD. CONCLUSIONS: Both the self-medication and high-risk hypotheses were supported. Findings support a bidirectional causal relationship between cannabis use and trauma-related phenotypes. Additionally, results highlight areas for colleges to intervene among students to help reduce cannabis use and create a safer environment. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Is pre-college interpersonal trauma associated with cannabis use?

OBJECTIVE: To examine the prevalence and correlates of lifetime cannabis use (i.e., experimental [use 1-5 times] and non-experimental [use ≥ 6 times]) in relation to interpersonal trauma (IPT) above and beyond relevant covariates. PARTICIPANTS: A large (n = 9,889) representative sample of college students at an urban university in the southeastern part of the United States. METHODS: Participants were 4 cohorts of first-year college students who completed measures of demographics, cannabis, alcohol, nicotine, and IPT. Associations were estimated using multinomial logistic regressions. RESULTS: The prevalence of lifetime cannabis use was 28.1% and 17.4% for non-experimental and experimental cannabis use, respectively. IPT was significantly associated with experimental and non-experimental cannabis use above and beyond effects of sex, race, cohort, alcohol, and nicotine. CONCLUSIONS: Results show that cannabis use is prevalent among college students and is associated with IPT above and beyond associations with sex, race, and other substance use.

The longitudinal buffering effects of resilience on alcohol use outcomes.

OBJECTIVE: Traumatic events (TE) are a risk factor for alcohol use disorder (AUD). Resilience may be protective of the effects of TE exposure, but few studies have longitudinally tested the buffering hypothesis. Thus, the present study aimed to fill this gap. METHOD: Participants (N = 6,015) were from a longitudinal investigation into substance use and health outcomes at a large, urban university. Participants completed self-report measures on precollege internalizing symptoms and lifetime trauma load. Resilience was calculated as a quantitative variable. At each of the follow-up assessments, participants reported on past month consumption, AUD symptoms, and new onset TEs. Longitudinal path modeling was used to test interactions. RESULTS: Higher new onset TE load was associated with greater AUD symptoms, and higher consumption at one time-point. Results demonstrate a significant main effect of resilience at Y1S and Y3S, and a significant interaction between resilience and new onset TE at the last time-point, whereby higher levels of new onset TE were associated with higher levels of AUD symptoms at low (ß = .19, p < .001), and average (ß = .20, p = .001) levels of resilience. This effect was attenuated at high levels of resilience (ß = .07, p = .051). No significant main nor interaction effects of resilience on consumption were found. CONCLUSIONS: Findings suggest resilience as an important protective factor in relation to the development of AUD symptoms after exposure to a TE, though perhaps less so in relation to consumption. Findings are consistent with prior work demonstrating that AUD symptoms are more clinically relevant than consumption in this population. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Differences in genetic correlations between posttraumatic stress disorder and alcohol-related problems phenotypes compared to alcohol consumption-related phenotypes.

BACKGROUND: Posttraumatic Stress Disorder (PTSD) tends to co-occur with greater alcohol consumption as well as alcohol use disorder (AUD). However, it is unknown whether the same etiologic factors that underlie PTSD-alcohol-related problems comorbidity also contribute to PTSD- alcohol consumption. METHODS: We used summary statistics from large-scale genome-wide association studies (GWAS) of European-ancestry (EA) and African-ancestry (AA) participants to estimate genetic correlations between PTSD and a range of alcohol consumption-related and alcohol-related problems phenotypes. RESULTS: In EAs, there were positive genetic correlations between PTSD phenotypes and alcohol-related problems phenotypes (e.g. Alcohol Use Disorders Identification Test (AUDIT) problem score) (rGs: 0.132-0.533, all FDR adjusted p < 0.05). However, the genetic correlations between PTSD phenotypes and alcohol consumption -related phenotypes (e.g. drinks per week) were negatively associated or non-significant (rGs: -0.417 to -0.042, FDR adjusted p: <0.05-NS). For AAs, the direction of correlations was sometimes consistent and sometimes inconsistent with that in EAs, and the ranges were larger (rGs for alcohol-related problems: -0.275 to 0.266, FDR adjusted p: NS, alcohol consumption-related: 0.145-0.699, FDR adjusted p: NS). CONCLUSIONS: These findings illustrate that the genetic associations between consumption and problem alcohol phenotypes and PTSD differ in both strength and direction. Thus, the genetic factors that may lead someone to develop PTSD and high levels of alcohol consumption are not the same as those that lead someone to develop PTSD and alcohol-related problems. Discussion around needing improved methods to better estimate heritabilities and genetic correlations in diverse and admixed ancestry samples is provided.

A Polygenic Risk Score Enhances Risk Prediction for Adolescents' Antisocial Behavior over the Combined Effect of 22 Extra-familial, Familial, and Individual Risk Factors in the Context of the Family Check-Up.

Possessing informative tools to predict who is most at risk for antisocial behavior in adolescence is important to help identify families most in need of early intervention. Polygenic risk scores (PRSs) have been shown to predict antisocial behavior, but it remains unclear whether PRSs provide additional benefit above more conventional tools to early risk detection for antisocial behavior. This study examined the utility of a PRS in predicting adolescents' antisocial behavior after accounting for a broad index of children's contextual and individual risk factors for antisocial behavior. Participants were drawn from a longitudinal family-based prevention study (N = 463; Ncontrol = 224; 48.8% girls; 45.1% White; 30.2% Black; 12.7% Hispanic/Latino, 10.4% biracial; 0.2% Native American). Participants were recruited from US-based Women, Infants, and Children Nutritional Supplement programs. A risk tolerance PRS was created from a genome-wide association study. We created a robust measure capturing additive effects of 22 conventional measures of a risk of antisocial behavior assessed at child age 2 (before intervention). A latent variable capturing antisocial behavior (ages 10.5-16) was created. After accounting for intervention status and the conventional risk index, the risk tolerance PRS predicted independent variance in antisocial behavior. A PRS-by-conventional risk interaction showed that the conventional risk measure only predicted antisocial behavior at high levels of the PRS. Thus, the risk tolerance PRS provides unique predictive information above conventional screening tools and, when combined with them, identified a higher-risk subgroup of children. Integrating PRSs could facilitate risk identification and, ultimately, prevention screening, particularly in settings unable to serve all individuals in need.

A Longitudinal Investigation of Resilience as a Protective Factor During the COVID-19 Pandemic.

COVID-19 is a global stressor that has been shown to impact mental health outcomes. Given that COVID-19 is a unique stressor that has been shown to have mental health consequences, identifying protective factors is imperative. The protective influences of resilience are demonstrated through the extant literature, though less is known about resilience and COVID-19 impact. The current study seeks to expand the existing literature on resilience, and on mental health outcomes influenced by COVID-19, by longitudinally investigating relative resilience as a buffer against posttraumatic stress disorder (PTSD) symptoms and alcohol consumption, in the wake of a global pandemic. Participants included 549 undergraduates with a history of lifetime trauma exposure. Using a longitudinal path model, we tested the interaction between relative resilience (i.e., an individual's deviation from distress levels predicted by prior trauma exposure relative to other individuals in the same cohort) and COVID-19 impact domains (i.e., social media use, worry, exposure, change in substance use, and housing/food insecurity) on PTSD symptoms and alcohol consumption. Findings demonstrate a significant interaction between the COVID-19 worry impact domain and baseline resilience on later PTSD symptoms, whereby COVID-19 worry impacts PTSD symptoms at low levels of resilience (ß = .26, p < .001), marginally impacts PTSD symptoms at mean levels of resilience (ß = .09, p = .05), and does not impact PTSD symptoms at high levels of resilience (ß = -.08, p = .16). There were no significant main effects nor interaction effects of resilience on alcohol consumption. This article adds to the literature on resilience and COVID-19 through examining both internalizing (i.e., PTSD) and substance use outcomes, using longitudinal data, and using a quantitative measure of resilience.

Developmental genetic effects on externalizing behavior and alcohol use: Examination across two longitudinal samples.

Externalizing behavior in early adolescence is associated with alcohol use in adolescence and early adulthood and these behaviors often emerge as part of a developmental sequence. This pattern can be the result of heterotypic continuity, in which different behaviors emerge over time based on an underlying shared etiology. In particular, there is largely a shared genetic etiology underlying externalizing and substance use behaviors. We examined whether polygenic risk for alcohol use disorder predicted (1) externalizing behavior in early adolescence and alcohol use in adolescence in the Early Steps Multisite sample and (2) externalizing behavior in adolescence and alcohol use in early adulthood in the Project Alliance 1 (PAL1) sample. We examined associations separately for African Americans and European Americans. When examining European Americans in the Early Steps sample, greater polygenic risk was associated with externalizing behavior in early adolescence. In European Americans in PAL1, we found greater polygenic risk was associated with alcohol use in early adulthood. Effects were largely absent in African Americans in both samples. Results imply that genetic predisposition for alcohol use disorder may increase risk for externalizing and alcohol use as these behaviors emerge developmentally.

Alcohol use and alcohol use disorder differ in their genetic relationships with PTSD: A genomic structural equation modelling approach.

PURPOSE: Posttraumatic Stress Disorder (PTSD) is associated with increased alcohol use and alcohol use disorder (AUD), which are all moderately heritable. Studies suggest the genetic association between PTSD and alcohol use differs from that of PTSD and AUD, but further analysis is needed. BASIC PROCEDURES: We used genomic Structural Equation Modeling (genomicSEM) to analyze summary statistics from large-scale genome-wide association studies (GWAS) of European Ancestry participants to investigate the genetic relationships between PTSD (both diagnosis and re-experiencing symptom severity) and a range of alcohol use and AUD phenotypes. MAIN FINDINGS: When we differentiated genetic factors for alcohol use and AUD we observed improved model fit relative to models with all alcohol-related indicators loading onto a single factor. The genetic correlations (rG) of PTSD were quite discrepant for the alcohol use and AUD factors. This was true when modeled as a three-correlated-factor model (PTSD-AUD rG:.36, p < .001; PTSD-alcohol use rG: -0.17, p < .001) and as a Bifactor model, in which the common and unique portions of alcohol phenotypes were pulled out into an AUD-specific factor (rG with PTSD:.40, p < .001), AU-specific factor (rG with PTSD: -0.57, p < .001), and a common alcohol factor (rG with PTSD:.16, NS). PRINCIPAL CONCLUSIONS: These results indicate the genetic architecture of alcohol use and AUD are differentially associated with PTSD. When the portions of variance unique to alcohol use and AUD are extracted, their genetic associations with PTSD vary substantially, suggesting different genetic architectures of alcohol phenotypes in people with PTSD.

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.

Caregiver support buffers posttraumatic stress disorder symptoms following a natural disaster in relation to binge drinking.

OBJECTIVE: We investigate if posttraumatic stress disorder (PTSD) symptoms mediate the effects of disaster severity or prior trauma on binge drinking following disaster exposure and test if support from caregiver moderates the relation between disaster severity and PTSD symptoms as well as prior trauma and PTSD symptoms. METHOD: A population-based clinical trial used address-based sampling to enroll 1,804 adolescents and parents from communities affected by tornadoes in Missouri and Alabama. Data collection via baseline (averaging 8 months postdisaster), 4-month postbaseline, and 12-month postbaseline semistructured telephone interviews was completed between September 2011 and August 2013. Longitudinal analyses, testing the indirect effects of disaster severity and prior traumatic events on alcohol use through PTSD symptoms, as potentially moderated by support from caregiver, were conducted. RESULTS: PTSD symptoms mediated the effect of prior trauma, but not disaster severity, on binge drinking. Specifically, those with more prior traumas reported more PTSD symptoms, which in turn increased risk for binge drinking. Support from caregiver moderated the effect of disaster severity, but not prior trauma, on PTSD symptoms. Specifically, the effect of disaster severity on PTSD symptoms was significant for adolescents with average or below-average caregiver support. CONCLUSION: Findings suggest that PTSD symptomatology is one mechanism by which prior trauma can impact binge drinking among adolescents following exposure to a natural disaster. Caregiver support can serve as a buffer for reducing PTSD symptomatology related to the severity of a natural disaster, which can decrease the likelihood of adolescent binge drinking. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Does Prior Civilian Trauma Moderate the Relationship Between Combat Trauma and Post-deployment Mental Health Symptoms?

In addition to combat trauma, childhood and adult non-military, interpersonal trauma exposures have been linked to a range of psychiatric symptoms (e.g., alcohol use problems, posttraumatic stress disorder [PTSD], depression symptoms) in veterans. However, few studies simultaneously explore the associations between these civilian and combat trauma types and mental health outcomes. Using a sample of combat-exposed veterans who were previously deployed to Iraq and Afghanistan (N = 302), this study sought to (a) understand the independent associations of civilian interpersonal trauma (i.e., childhood trauma and non-military adult trauma) and combat-related trauma with post-deployment alcohol use, PTSD symptoms, and depressive symptoms, respectively and (b) to examine the interactive effects of trauma type to test whether childhood and non-military adult trauma moderate the association of combat trauma with these outcomes. A path analytic framework was used to allow for the simultaneous prediction of these associations. In the final model non-military adult trauma and combat trauma were found to be significantly associated with PTSD symptoms and depression symptoms, but not average amount of drinks consumed per drinking day. Childhood trauma was not associated with any outcomes (i.e., PTSD symptoms, depression symptoms, average amount of drinks consumed per day). Only combat trauma was significantly associated with average amount of drinks consumed per day. Results underscore the importance of assessing multiple trauma types and considering trauma as a non-specific risk factor, as different trauma types may differentially predict various mental health outcomes other than PTSD. Further, results highlight the noteworthiness of considering co-occurring outcomes within the veteran community. Limitations, future directions, and implications of diversity are discussed.

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.

Potential causal effect of posttraumatic stress disorder on alcohol use disorder and alcohol consumption in individuals of European descent: A Mendelian Randomization Study.

BACKGROUND: Posttraumatic stress disorder (PTSD) often co-occurs with alcohol consumption (AC) and alcohol use disorder (AUD). However, it is unknown whether the same etiologic influences that underlie PTSD co-occurring with AUD are those that underlie PTSD and AC individually. METHODS: This study used large-scale genome-wide association study (GWAS) data to test whether PTSD and drinks per week [DPW]/AUD are causally related to one another, and, if so, whether PTSD precedes DPW/AUD and/or vice versa. We used Mendelian Randomization methods to analyze European ancestry GWAS summary statistics from the Psychiatric Genomics Consortium (PGC; PTSD), GWAS & Sequencing Consortium of Alcohol and Nicotine Use (GSCAN; DPW), and the Million Veteran Program (MVP; AUD). RESULTS: PTSD exerted a potentially causal effect on AUD (ß = 0.039, SE = 0.014, p = 0.005), but not on DPW (ß = 0.002, SE = 0.003, p = 0.414). Additionally, neither DPW (ß = 0.019, SE = 0.041, p = 0.637) nor AUD (ß = 8.87 × 10-4 , SE = 0.001, p = 0.441) exerted a causal effect on PTSD. CONCLUSIONS: These findings are consistent with the self-medication model, in which individuals misuse alcohol to cope with aversive trauma-related symptoms. These findings extend latent analysis and molecular findings of shared and correlated risk between PTSD and alcohol phenotypes. Given the health behaviors associated with these phenotypes, these findings are important in that they suggest groups to prioritize for prevention efforts. Further, they provide a rationale for future preclinical and clinical studies examining the biological mechanisms by which PTSD may impact AUD.

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.

Gene Expression Differences Between Young Adults Based on Trauma History and Post-traumatic Stress Disorder.

Background: The purpose of this study was to identify gene expression differences associated with post-traumatic stress disorder (PTSD) and trauma exposure (TE) in a three-group study design comprised of those with and without trauma exposure and PTSD. Methods: We conducted gene expression and gene network analyses in a sample (n = 45) composed of female subjects of European Ancestry (EA) with PTSD, TE without PTSD, and controls. Results: We identified 283 genes differentially expressed between PTSD-TE groups. In an independent sample of Veterans (n = 78) a small minority of these genes were also differentially expressed. We identified 7 gene network modules significantly associated with PTSD and TE (Bonferroni corrected p ≤ 0.05), which at a false discovery rate (FDR) of q ≤ 0.2, were significantly enriched for biological pathways involved in focal adhesion, neuroactive ligand receptor interaction, and immune related processes among others. Conclusions: This study uses gene network analyses to identify significant gene modules associated with PTSD, TE, and controls. On an individual gene level, we identified a large number of differentially expressed genes between PTSD-TE groups, a minority of which were also differentially expressed in the independent sample. We also demonstrate a lack of network module preservation between PTSD and TE, suggesting that the molecular signature of PTSD and trauma are likely independent of each other. Our results provide a basis for the identification of likely disease pathways and biomarkers involved in the etiology of PTSD.

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.

Associations of subjective and objective stress responses with interpersonal trauma, PTSD, stress-induced drinking, and drinking to cope in young adults.

OBJECTIVE: To understand how interpersonal trauma (IPT), stress response, and drinking to cope converge to predict stress-induced drinking, a risk factor for alcohol use disorder. METHOD: Young adults with no substance use disorder were classified into three trauma history groups: (a) IPT with PTSD (n = 27), (b) IPT without PTSD (n = 35), and (c) Control (no trauma-history/no PTSD; n = 36). Participants completed a baseline assessment, including a structured clinical interview, to confirm PTSD diagnosis, followed by the Trier Social Stressor Task (TSST) and an alcohol use task. Subjective units of distress and blood serum cortisol were collected at standardized timepoints throughout the tasks. RESULTS: In all three groups (PTSD, IPT, control), males consumed more alcohol in the lab than females. Participants in the PTSD group had significantly higher drinking to cope motives, which were associated with greater subjective reactivity; however, neither drinking to cope motives nor subjective reactivity to the TSST predicted post-stressor alcohol consumption for those with PTSD. CONCLUSIONS: The interplay among trauma history, stress, and drinking among young adults is nuanced; additional lab-based studies are needed to further clarify the nuanced connection between trauma history, acute stress reactions, and alcohol use. (PsycInfo Database Record (c) 2021 APA, all rights reserved).