Vendelbopilegaard1501

In this article, we describe our foundational work to develop the PFP. Results From the S4S data, we have identified risk factors across four domains (Sensation Seeking, Impulsivity, Extraversion, and Neuroticism) that are correlated with college students' substance use. We developed an online self-guided PFP, in collaboration with professionals from student affairs, and using feedback from students, with the ultimate goal of conducting a randomized clinical trial. Conclusion The provision of personalized risk information represents a novel approach to complement and extend existing college substance use programming. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Family history of alcohol use disorder; AUD (FH +) and impulsivity-related traits are known risk factors for problem drinking that have been investigated in predominately White samples. This cross-sectional study examined whether these risk factors vary by sex in the overall, majority White sample and in a Black subsample.

A model building regression procedure was used to investigate the combined effect of FH + and impulsivity-related traits on alcohol quantity, frequency, and problems by sex (overall sample

= 757, 50% female, 73% White, age

= 33.74,

= 11.60; Black subsample

= 138, 47% female, age

= 33.60,

= 9.87).

No sex differences were found in the compounding effects of FH + and impulsivity-related traits on alcohol outcomes. Males reported more physical, social, and overall alcohol-related problems than females. FH + was positively associated with all alcohol-related consequences. Poor self-regulation was the only trait associated with all alcohol outcomes.

A three-way interactind intervention programs. Preliminary findings of sex differences in the Black subsample should be replicated. (PsycInfo Database Record (c) 2021 APA, all rights reserved).Objective The Brief Alcohol Screening and Intervention for College Students (BASICS; Dimeff et al., 1999) is an evidence-based approach to reduce high-risk drinking and associated harms; however, implementation may present challenges for community colleges (CCs) that have limited budgets and mostly non-residential students. We examined feasibility, acceptability, and efficacy of BASICS for CC students (BASICCS) delivered remotely via web-conferencing with supporting automated text messages. Method Participants included 142 CC students who reported exceeding National Institute on Alcohol Abuse and Alcoholism (NIAAA's) weekly low-risk drinking recommendations and/or heavy episodic drinking (HED). Participants were randomized to BASICCS or assessment-only control (AOC) and completed 1- and 3-month follow-up assessments. Results Most students liked the personalized information in the program and found the web-conferencing platform useful, however intervention completion rate was 56%. Significant differences were found between BASICCS and AOC. At 1-month, individuals in BASICCS had 33% fewer alcohol consequences than those in AOC. At 3-month follow-up, individuals in BASICCS had lower estimated peak blood alcohol concentration, 29% fewer drinks per week, 62% fewer episodes of HED, and 24% fewer consequences than those in AOC. Conclusions BASICCS showed evidence of being acceptable and the technology proved feasible, although the intervention completion rate in the non-treatment-seeking volunteer sample was modest. Preliminary evidence does suggest BASICCS shows promise in reducing alcohol use and consequences. Technology-based platforms could be a viable prevention solution for CC students. (PsycInfo Database Record (c) 2021 APA, all rights reserved).Objective Approach bias modification (ApBM) is a promising new add-on training intervention for patients with alcohol use disorder (AUD). Given that comorbid anxiety and major depressive disorders are very common in AUD, and that such comorbidity affects psychological treatments negatively, the primary aim of the present study was investigating whether ApBM training is moderated by anxiety/major depressive disorder comorbidity. The secondary aim was to examine whether ApBM's relapse-preventive effect can be replicated. Method We conducted a large-scale randomized controlled trial (RCT) in a clinical sample of AUD inpatients (n = 729) with a follow-up assessment after 1 year. All patients received 12 weeks of inpatient treatment as usual (TAU). On top of that, patients were randomized to a 12-session ApBM (TAU + ApBM), and a no-training control condition (TAU-only). Treatment success was defined as either no relapse or a single lapse shorter than 3 days in duration, ended by the patient and followed by at least 4 weeks of abstinence. Failure was defined as relapse, passed away, no contact, or refusal to provide information. Results We found that TAU + ApBM had significantly higher success rates than TAU-only at 1-year follow-up. Importantly, anxiety/depressive comorbidity moderated ApBM's effects Adding ApBM to TAU increased success rates more for patients with a comorbid anxiety and/or depressive disorder than for patients without such comorbidity. Conclusions Our data suggest that adding ApBM to TAU works better in patients with a comorbid anxiety and/or depressive disorder; a promising finding gave the high rates of comorbidity in clinical practice. selleckchem (PsycInfo Database Record (c) 2021 APA, all rights reserved).Neuropsychiatric symptoms are common, comorbid, and often disabling for patients with traumatic brain injury (TBI). Identifying transdiagnostic symptom dimensions post-TBI may help overcome limitations of traditional psychiatric diagnoses and advance treatment development. We characterized the dimensional structure of neuropsychiatric symptoms at 2-weeks postinjury in n = 1,732 TBI patients and n = 238 orthopedic-injured trauma controls (OTC) from the Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) study. Symptoms were reported on the Brief Symptom Inventory-18, Patient Health Questionnaire-9 Depression checklist, PTSD Checklist for DSM-5, PROMIS Pain Intensity scale, and Insomnia Severity Index. We established a novel factor model of neuropsychiatric symptoms and evaluated how 3 TBI severity strata and OTC patients differed in symptom severity. The final factor model had 6 first-order factors subsumed by 2 second-order factors Internalizing (encompassing Depression, Anxiety, and Fear) and Somatic symptoms (Sleep, Physical, Pain).