Self-Reported Sobriety Labels: Perspectives from Alumni of Inpatient Addiction Treatment.

Background: There is a lack of consensus in the addiction field as to how to refer to alumni of residential treatment who no longer use substances or who reduce their use. In the literature, this label and broader identity are typically discussed in technical (amount and frequency of use) or social terms (environment and social network changes).

Objective: The current paper seeks to simplify the discussion by focusing on personal labels without complex technical or social considerations.

An Implementation Approach to Translating Assessment Data into Treatment for Disorders of Addiction.

Effective translation of data to inform real-time patient care is lacking in addiction inpatient settings. The current study presents the optimization of an assessment report that is used by clinicians to individualize treatment. A multi-aim, iterative approach was taken, utilizing an implementation science perspective to arrive at a final version of the assessment report.

Adapting, Implementing, and Maintaining a Group Cognitive Behavioral Therapy Program at an Inpatient Addiction Treatment Facility.

Background: Quality training is an oft-cited barrier to effective implementation and ongoing delivery of high-quality evidence-based practice (EBP) across fields. This is especially true in the addiction field, but there is little cited evidence for optimal methods to improve EBP in inpatient addiction facilities with minimal resources.

Objective: The current paper focuses on evaluating the state of our facility's group CBT manual and clinical training on the manual in a "realistic" (ie, non-RCT, non-grant-funded) inpatient addiction treatment setting.

A pilot study comparing in-person and remote outpatient substance use treatment services on quality-of-life outcomes.

Background: The widespread shift from in-person to Telehealth services during the Covid-19 pandemic irreversibly shifted the landscape of outpatient substance use treatment. This shift was necessitated by health, rather than data-driven, reasons. As we reflect on whether to continue providing Telehealth services moving forward, we require empirical support on the effectiveness of Telehealth services (compared to in-person services) in terms of patient outcomes, such as Quality of Life (QOL), to support this decision.

Deriving a Measure of Social Recovery Capital From the Important People and Activities Instrument: Construction and Psychometric Properties.

Aim: This study presents a measure of Social Recovery Capital (SRC) derived from the Important People and Activities instrument (IPA).

Methods: The sample comprised young adults who participated in the Collaborative Study on the Genetics of Alcoholism, a high-risk family study of alcohol use disorder (N = 2472). Exploratory and confirmatory factor analysis identified influential items and factor structure, adjusting for family relatedness.

The effect of cannabis policies on treatment outcomes for cannabis use among U.S. adults.

Background: Research has explored the impact of various medical cannabis policies on substance use treatment admission in recent years, but we know little about factors related to participants' treatment engagement and outcome. To fill this gap in the existing literature, this study used national data to examine the influence of cannabis policies (decriminalized, medical, and recreational) and referral sources (criminal justice vs. voluntary) on treatment completion and length of stay.

In-vivo design feedback and perceived utility of a genetically-informed smoking risk tool among current smokers in the community.

Background: The use of genetically-informed personalized risk information for behavioral disorders, namely smoking and smoking-related behaviors, is a promising yet understudied area. The Genetics and Smoking Risk Profile, or RiskProfile, leverages genetic and environmental information to communicate one's risk for smoking-related diseases. Although prior studies have examined attitudes toward genetic results, little research has investigated these perceptions through a lens of in-vivo testing; that is, user-centered design feedback in response to personalized genetic results being returned contemporaneously.

Predicting alcohol use disorder remission: a longitudinal multimodal multi-featured machine learning approach.

Predictive models for recovering from alcohol use disorder (AUD) and identifying related predisposition biomarkers can have a tremendous impact on addiction treatment outcomes and cost reduction. Our sample (N = 1376) included individuals of European (EA) and African (AA) ancestry from the Collaborative Study on the Genetics of Alcoholism (COGA) who were initially assessed as having AUD (DSM-5) and reassessed years later as either having AUD or in remission. To predict this difference in AUD recovery status, we analyzed the initial data using multimodal, multi-features machine learning applications including EEG source-level functional brain connectivity, Polygenic Risk Scores (PRS), medications, and demographic information.

Four Actionable Bottlenecks and Potential Solutions to Translating Psychiatric Genetics Research: An Expert Review.

Background: Psychiatric genetics has had limited success in translational efforts. A thorough understanding of the present state of translation in this field will be useful in the facilitation and assessment of future translational progress.

Purpose: A narrative literature review was conducted.

Proof of Concept of a Personalized Genetic Risk Tool to Promote Smoking Cessation: High Acceptability and Reduced Cigarette Smoking.

Relatively little is known about the possible effects of personalized genetic risk information on smoking, the leading preventable cause of morbidity and mortality. We examined the acceptability and potential behavior change associated with a personalized genetically informed risk tool () among current smokers. Current smokers ( = 108) were enrolled in a pre-post study with three visits.

Assessing Stakeholder Perceptions of the Utility of Genetic Information for the Clinical Care of Mental Health Disorders: We Have a Will but Need to See the Way.

Academic stakeholders' (primarily mental health researchers and clinicians) practices and attitudes related to the translation of genetic information into mental health care were assessed. A three-part survey was administered at two large, urban universities. Response frequencies were calculated.

Genetic and environmental risk structure of internalizing psychopathology in youth.

Background: Internalizing disorders (IDs), consisting of syndromes of anxiety and depression, are common, debilitating conditions often beginning early in life. Various trait-like psychological constructs are associated with IDs. Our prior analysis identified a tripartite model of Fear/Anxiety, Dysphoria, and Positive Affect among symptoms of anxiety and depression and the following constructs in youth: anxiety sensitivity, fearfulness, behavioral activation and inhibition, irritability, neuroticism, and extraversion.

Participatory Design of a Personalized Genetic Risk Tool to Promote Behavioral Health.

Despite major advancements in genomic medicine, research to optimize the design and communication of genetically informed interventions in behavioral health has lagged. The goal of this study was to engage potential end users in participatory codesign of a personalized genetically informed risk tool to intervene on high-risk health behaviors. We used structured interviews to examine end-user attitudes and interest in personalized genetics, qualitative interviews to guide iterative design of a genetically informed tool, and questionnaires to assess acceptability and potential utility of the tool.

Characterization of Service Use for Alcohol Problems Across Generations and Sex in Adults With Alcohol Use Disorder.

Background: There are gaps in the literature on service use (help-seeking and treatment utilization) for alcohol problems among those with alcohol use disorder (AUD). First, policy changes and cultural shifts (e.g.

Trends in mental health service utilization among LGB+ college students.

1) Compare service utilization among LGB+ and straight-identified students. 2) Assess rates of mental health concerns among LGB+ students only. Undergraduates ( = 675) reported on their sexual orientation, mental health conditions, and past service providers.

Prospective Predictors of Sexual Revictimization Among College Students.

This study examined the prevalence rates of sexual violence revictimization during each year of college. In addition, the impact of key mental health concerns on these rates was investigated. Incoming first-year students at a large, urban university completed a survey about their exposure to incidences of sexual assault before college and about their mental health symptoms.

Developing community-based health education strategies with family history: Assessing the association between community resident family history and interest in health education.

Background: Family history (FH) is an underutilized genetically informative tool that can influence disease prevention and treatment. It is unclear how FH fits into the development of community-based health education. This study examines the role that FH plays in perceived threat and health education related to mental and chronic physical conditions in the context of the health belief model.

Using electronic audience response technology to track e-cigarette habits among college freshmen.

Purpose: The use of e-cigarette devices, specifically JUUL, is on the rise on college campuses. Traditional means of collecting and analyzing research may not be fast enough for health professionals to effectively assess, plan, and implement effective prevention/intervention strategies.

Procedures: In August 2018, during incoming student orientation sessions at seven different college campuses, data was collected on a specific e-cigarette, JUUL.

The Genetic and Environmental Relationship Between Childhood Behavioral Inhibition and Preadolescent Anxiety.

This study uses novel approaches to examine genetic and environmental influences shared between childhood behavioral inhibition (BI) and symptoms of preadolescent anxiety disorders. Three hundred and fifty-two twin pairs aged 9-13 and their mothers completed questionnaires about BI and anxiety symptoms. Biometrical twin modeling, including a direction-of-causation design, investigated genetic and environmental risk factors shared between BI and social, generalized, panic and separation anxiety.

The relationship between on-campus service utilization and common mental health concerns in undergraduate college students.

Little research exists into the trends associated with on-campus service utilization for mental health concerns of college students. Rates of broad service utilization exist, but no published study has examined the direct relationship between a range of common mental health symptoms and on-campus service utilization. The aims of the present study are to explore (1) which common mental health concerns are associated with specific on-campus service utilization in undergraduate students and (2) whether endorsement of more mental health concerns will predict a higher number of services utilized.

Resting Heart Rate Variability (HRV) in Adolescents and Young Adults from a Genetically-Informed Perspective.

Reduced heart rate variability (HRV) is associated with cardiac morbidity, mortality, and negative psychopathology. Most research concerning genetic influences on HRV has focused on adult populations, with fewer studies investigating the developmental period of adolescence and emerging adulthood. The current study estimated the genetic and environmental contributions to resting HRV in a sample of twins using various HRV time domain metrics to assess autonomic function across two different time measurement intervals (2.

Prevalence and predictors of PTSD among a college sample.

Objective: This study examined the prevalence and correlates of probable posttraumatic stress disorder (PTSD) in freshman entering college and prospective associations of probable PTSD with additional outcomes.

Participants: 2,310 students with data collected from Fall 2014 through Spring 2015.

Methods: Incoming freshman completed a survey assessing for relevant variables at the beginning of fall semester and during the spring semester.

Acknowledgement and support matter: A brief report on gender identity and sexual orientation at a large, urban university.

Objective: To examine reporting trends of students identifying as LGBTQIA+ following changes made to the ACHA-NCHA-II survey about gender identity and sexual orientation.

Methods: Data were analyzed from two sources for the purpose of triangulation: the ACHA-NCHA-II 2016 survey specific to our university and an electronic audience response survey.

Participants: Primary analyses included first-year students from the ACHA-NCHA-II data (N = 158; spring 2016) and the audience response survey (N = 1,452; August 2016).