Interpersonal violence and suicide risk: Examining buffering effects of school and community connectedness.

Background: Exposure to interpersonal violence is associated with elevated suicide risk. Preventing suicide among high-risk adolescents is most often discussed from a clinical treatment perspective, resulting in a gap in research examining whether school and community connectedness can buffer the relationships between forms of interpersonal violence and suicide risk in clinical samples of adolescents. Methods: Baseline data from 294 adolescents who received substance use treatment were analyzed to help fill this gap in research. Adolescents in this sample were at greater risk for suicidal thoughts and behaviors given their histories of substance use disorders and high rates of interpersonal violence, with 57% reporting experiencing at least one form of abuse/violence. Independent variables included lifetime exposure to physical abuse, sexual abuse, and weapon violence; moderators included various measures of school and community connectedness. Multinomial logistic regression models were estimated to examine the main and interaction effects predicting a three-category measure of suicide risk: non-suicidal, suicidal ideation only, and prior suicide attempts. Results: Sexual abuse survivors had the highest predicted probability of a prior suicide attempt when reporting lower levels of teacher support, school-based positive peer interactions, or neighborhood social connection, but at higher levels of these protective factors, their predicted probability was similar to those not exposed to sexual abuse. The same protective pattern was observed for physical abuse survivors with high neighborhood social connection. Conclusion: The buffering effects observed in this study identified dimensions of school and community social connectedness as protective factors for youth exposed to abuse. Although promoting social connectedness is often cited as a universal suicide prevention approach, tailored efforts to enhance connectedness within this population may also be a promising secondary prevention strategy. Thus, in addition to clinical treatment, more emphasis should be placed on systems-level approaches to reducing risk among youth most vulnerable to suicide.

Investigating the Interplay Between Mental Health Conditions and Social Connectedness on Suicide Risk: Findings from a Clinical Sample of Adolescents.

This study examined whether school and community connectedness buffer the relationships between mental health conditions and suicide risk in a clinical sample of adolescents with histories of substance use disorders. Data from 294 adolescents were examined, with approximately 58% reporting lifetime suicidal ideation and/or prior attempts. Multinomial logistic regression was used to examine main and interaction effects on a three-category measure of suicide risk. Depression severity and panic disorder were associated with elevated suicidal ideation risk, whereas disordered eating was associated with elevated risk of attempts. Higher school-based positive peer interactions, school safety, and neighborhood social connection levels were associated with reduced suicide attempt risk. Moderation analyses revealed that high neighborhood social connection levels may partially mitigate the elevated likelihood of attempting suicide associated with disordered eating. Findings suggest clinical populations of adolescents may benefit from approaches aiming to promote social connectedness, further supporting a comprehensive approach to suicide prevention.

The selection of statistical models for reporting count outcomes and intervention effects in brief alcohol intervention trials: A review and recommendations.

Understanding the efficacy and relative effectiveness of a brief alcohol intervention (BAI) relies on obtaining a credible intervention effect estimate. Outcomes in BAI trials are often count variables, such as the number of drinks consumed, which may be overdispersed (i.e., greater variability than expected based on a given model) and zero-inflated (i.e., greater probability of zeros than expected based on a given model). Ignoring such distribution characteristics can lead to biased estimates and invalid statistical conclusions. In this critical review, we identified and reviewed 64 articles that reported count outcomes from a systematic review of BAI trials for adolescents and young adults from 2013 to 2018. Given many statistical models to choose from when analyzing count outcomes, we reviewed the models used and reporting practices in the BAI trial literature. A majority (61.3%) of analyses with count outcomes used linear models despite violations of normality assumptions; 75.6% of outcome variables demonstrated clear overdispersion. We provide an overview of available count models (Poisson, negative binomial, zero-inflated or hurdle, and marginalized zero-inflated Poisson regression) and formulate practical guidelines for reporting outcomes of BAIs. We provide a visual step-by-step decision guide for selecting appropriate statistical models and reporting results for count outcomes. We list accessible resources to help researchers select an appropriate model with which to analyze their data. Recent advances in count distribution-based models hold promise for evaluating count outcomes to gauge the efficacy and effectiveness of BAIs and identify critical covariates in alcohol epidemiologic research. We recommend that researchers report the distributional properties of count outcomes, such as the proportion of zero counts, and select an appropriate statistical analysis for count outcomes using the provided decision tree. By following these recommendations, future research may yield more accurate, transparent, and reproducible results.

Probiotic Supplementation for Promotion of Growth in Undernourished Children: A Systematic Review and Meta-Analysis.

OBJECTIVES: Probiotic supplementation has been proposed as a therapeutic intervention to improve growth outcomes in children with undernutrition. The objective of this review is to synthesize the current evidence on probiotic supplementation for promotion of growth in undernourished children. METHODS: We searched MEDLINE, Cochrane CENTRAL, CINAHL, Embase, LILACS, and Scopus for randomized controlled trials (RCTs) that administered probiotics or eligible comparators to undernourished children below 5 years of age. Our primary outcomes of interest were weight-for-age, height-for-age, and weight-for-height at the longest follow-up points reported. Random-effects meta-analysis was used to calculate standardized mean differences (SMD) for continuous outcomes and risk ratios for dichotomous outcomes. The Grading of Recommendations Assessment, Development and Evaluation criteria were used to assess certainty of the evidence. RESULTS: Nine RCTs with 5295 children in total were included. Durations of treatment ranged from 1 month to 1 year. Pooled analyses from 7 studies showed that probiotics may have little to no effect on weight-for-age (SMD 0.05 standard deviation [SD], 95% CI: -0.04 to 0.13, n = 2115 children; low-certainty evidence) and height-for-age (SMD -0.04 SD, 95% CI: -0.14 to 0.07, n = 1357 children; low-certainty evidence). The evidence was very uncertain about the effect on weight-for-height. CONCLUSIONS: Probiotics may have little to no effect on anthropometry in undernourished children, though there is considerable heterogeneity among the trials reviewed thus far. The interaction between gut microbiota and human nutrition is complex, and further research is needed to determine how the gut microbiome may contribute to undernutrition and how probiotics may affect growth in this vulnerable population.

Do brief motivational interventions increase motivation for change in drinking among college students? A two-step meta-analysis of individual participant data.

BACKGROUND: Brief motivational interventions (BMIs) are one of the most effective individually focused alcohol intervention strategies for college students. Despite the central theoretical role of motivation for change in BMIs, it is unclear whether BMIs increase motivation to change drinking behavior. We conducted a two-step meta-analysis of individual participant data (IPD) to examine whether BMIs increase motivation for change. N = 5903;59% women, 72% White) from Project INTEGRATE. The BMIs included individually delivered motivational interviewing with personalized feedback (MI + PF), stand-alone personalized feedback (PF), and group-based motivational interviewing (GMI). METHODS: We included 15 trials of BMI (N = 5903;59% women, 72% White) from Project INTEGRATE. The BMIs included individually-delivered motivational interviewing with personalized feedback (MI + PF), stand-alone personalized feedback (PF), and group-based motivational interviewing (GMI). Different measures and responses used in the original trials were harmonized. Effect size estimates were derived from a model that adjusted for baseline motivation and demographic variables for each trial (step 1) and subsequently combined in a random-effects meta-analysis (step 2). RESULTS: The overall intervention effect of BMIs on motivation for change was not statistically significant (standard mean difference [SMD]: 0.026, 95% CI: [-0.001, 0.053], p = 0.06, k = 19 comparisons). Of the three subtypes of BMIs, GMI, which tended to provide motivation-targeted content, had a statistically significant intervention effect on motivation, compared with controls (SMD: 0.055, 95% CI: [0.007, 0.103], p = 0.025, k = 5). By contrast, there was no evidence that MI + PF (SMD = 0.04, 95% CI: [-0.02, 0.10], k = 6, p = 0.20) nor PF increased motivation (SMD = 0.005, 95% CI: [-0.028, 0.039], k = 8, p = 0.75), compared with controls. Post hoc meta-regression analysis suggested that motivation sharply decreased each month within the first 3 months postintervention (b = -0.050, z = -2.80, p = 0.005 for k = 14). CONCLUSIONS: Although BMIs provide motivational content and normative feedback and are assumed to motivate behavior change, the results do not wholly support the hypothesis that BMIs improve motivation for change. Changing motivation is difficult to assess during and following interventions, but it is still a theoretically important clinical endpoint. Further, the evidence cautiously suggests that changing motivation may be achievable, especially if motivation-targeted content components are provided.

Investigating for Whom Brief Substance Use Interventions Are Most Effective: An Individual Participant Data Meta-analysis.

Prior research suggests that brief interventions (BIs) for alcohol and other drug use may vary in effectiveness across patient sociodemographic factors. The objective of this individual participant data (IPD) meta-analysis was to explore for whom BIs delivered in general healthcare settings are more or less effective. We examined variability in BI effects by patient age, sex, employment, education, relationship status, and baseline severity of substance use using a two-stage IPD meta-analysis approach. All trials included in a parent aggregate data meta-analysis (k = 116) were invited to contribute IPD, and 29 trials provided patient-level data (12,074 participants). Among females, BIs led to significant reductions in binge alcohol consumption ([Formula: see text] = 0.09, 95% CI [0.03, 0.14]), frequency of alcohol consumption ([Formula: see text] = 0.10, 95% CI [0.03, 0.17]), and alcohol-related consequences ([Formula: see text] = 0.16, 95% CI [0.08, 0.25]), as well as greater substance use treatment utilization ([Formula: see text] = 0.25, 95% CI [0.21, 0.30]). BIs yielded larger reductions in frequency of alcohol consumption at 3-month follow-up for individuals with less than a high school level education ([Formula: see text] = 0.16, 95% CI [0.09, 0.22]). Given evidence demonstrating modest BI effects on alcohol use and mixed or null findings for BI effects on other drug use, BI research should continue to investigate potential drivers of effect magnitude and variation.  PROTOCOL REGISTRATION DETAILS: The protocol for this review was pre-registered in PROSPERO #CRD42018086832 and the analysis plan was pre-registered in OSF: osf.io/m48g6.

Fecal microbiota transplantation for the treatment of recurrent Clostridioides difficile (Clostridium difficile).

BACKGROUND: Clostridioides difficile (formerly known as Clostridium difficile) is a bacterium that can cause potentially life-threatening diarrheal illness in individuals with an unhealthy mixture of gut bacteria, known as dysbiosis, and can cause recurrent infections in nearly a third of infected individuals. The traditional treatment of recurrent C difficile infection (rCDI) includes antibiotics, which may further exacerbate dysbiosis. There is growing interest in correcting the underlying dysbiosis in rCDI using of fecal microbiota transplantation (FMT); and there is a need to establish the benefits and harms of FMT for the treatment of rCDI based on data from randomized controlled trials. OBJECTIVES: To evaluate the benefits and harms of donor-based fecal microbiota transplantation for the treatment of recurrent Clostridioides difficile infection in immunocompetent people. SEARCH METHODS: We used standard, extensive Cochrane search methods. The latest search date was 31 March 2022. SELECTION CRITERIA: We considered randomized trials of adults or children with rCDI for inclusion. Eligible interventions must have met the definition of FMT, which is the administration of fecal material containing distal gut microbiota from a healthy donor to the gastrointestinal tract of a person with rCDI. The comparison group included participants who did not receive FMT and were given placebo, autologous FMT, no intervention, or antibiotics with activity against C difficile. DATA COLLECTION AND ANALYSIS: We used standard Cochrane methods. Our primary outcomes were 1. proportion of participants with resolution of rCDI and 2. serious adverse events. Our secondary outcomes were 3. treatment failure, 4. all-cause mortality, 5. withdrawal from study, 6. rate of new CDI infection after a successful FMT, 7. any adverse event, 8. quality of life, and 9. colectomy. We used the GRADE criteria to assess certainty of evidence for each outcome. MAIN RESULTS: We included six studies with 320 participants. Two studies were conducted in Denmark, and one each in the Netherlands, Canada, Italy, and the US. Four were single-center and two were multicenter studies. All studies included only adults. Five studies excluded people who were severely immunocompromised, with only one study including 10 participants who were receiving immunosuppressive therapy out of the 64 enrolled; these were similarly distributed between the FMT arm (4/24 or 17%) and comparison arms (6/40 or 15%). The route of administration was the upper gastrointestinal tract via a nasoduodenal tube in one study, two studies used enema only, two used colonoscopic only delivery, and one used either nasojejunal or colonoscopic delivery, depending on a clinical determination of whether the recipient could tolerate a colonoscopy. Five studies had at least one comparison group that received vancomycin. The risk of bias (RoB 2) assessments did not find an overall high risk of bias for any outcome. All six studies assessed the efficacy and safety of FMT for the treatment of rCDI. Pooled results from six studies showed that the use of FMT in immunocompetent participants with rCDI likely leads to a large increase in resolution of rCDI in the FMT group compared to control (risk ratio (RR) 1.92, 95% confidence interval (CI) 1.36 to 2.71; P = 0.02, I2 = 63%; 6 studies, 320 participants; number needed to treat for an additional beneficial outcome (NNTB) 3; moderate-certainty evidence). Fecal microbiota transplantation probably results in a slight reduction in serious adverse events; however, the CIs around the summary estimate were wide (RR 0.73, 95% CI 0.38 to 1.41; P = 0.24, I² = 26%; 6 studies, 320 participants; NNTB 12; moderate-certainty evidence). Fecal microbiota transplantation may result in a reduction in all-cause mortality; however, the number of events was small, and the CIs of the summary estimate were wide (RR 0.57, 95% CI 0.22 to 1.45; P = 0.48, I2 = 0%; 6 studies, 320 participants; NNTB 20; low-certainty evidence). None of the included studies reported colectomy rates. AUTHORS' CONCLUSIONS: In immunocompetent adults with rCDI, FMT likely leads to a large increase in the resolution of recurrent Clostridioides difficile infection compared to alternative treatments such as antibiotics. There was no conclusive evidence regarding the safety of FMT for the treatment of rCDI as the number of events was small for serious adverse events and all-cause mortality. Additional data from large national registry databases might be required to assess any short-term or long-term risks with using FMT for the treatment of rCDI. Elimination of the single study that included some immunocompromised people did not alter these conclusions. Due to the low number of immunocompromised participants enrolled, conclusions cannot be drawn about the risks or benefits of FMT for rCDI in the immunocompromised population.

Fecal transplantation for treatment of inflammatory bowel disease.

BACKGROUND: Inflammatory bowel disease (IBD) is a chronic, relapsing disease of the gastrointestinal (GI) tract that is thought to be associated with a complex interplay between the immune system, the GI tract lining, the environment, and the gut microbiome, leading to an abnormal inflammatory response in genetically susceptible individuals. An altered composition of the gut's native microbiota, known as dysbiosis, may have a major role in the pathogenesis of ulcerative colitis (UC) and Crohn disease (CD), two subtypes of IBD. There is growing interest in the correction of this underlying dysbiosis using fecal microbiota transplantation (FMT). OBJECTIVES: To evaluate the benefits and safety profile of FMT for treatment of IBD in adults and children versus autologous FMT, placebo, standard medication, or no intervention. SEARCH METHODS: We searched CENTRAL, MEDLINE, Embase, two clinical trial registries, and the reference sections of published trials through 22 December 2022. SELECTION CRITERIA: We included randomized controlled trials that studied adults and children with UC or CD. Eligible intervention arms used FMT, defined as the delivery of healthy donor stool containing gut microbiota to a recipient's GI tract, to treat UC or CD. DATA COLLECTION AND ANALYSIS: Two review authors independently screened studies for inclusion. Our primary outcomes were: 1. induction of clinical remission, 2. maintenance of clinical remission, and 3. serious adverse events. Our secondary outcomes were: 4. any adverse events, 5. endoscopic remission, 6. quality of life, 7. clinical response, 8. endoscopic response, 9. withdrawals, 10. inflammatory markers, and 11. microbiome outcomes. We used the GRADE approach to assess the certainty of evidence. MAIN RESULTS: We included 12 studies with 550 participants. Three studies were conducted in Australia; two in Canada; and one in each of the following: China, the Czech Republic, France, India, the Netherlands, and the USA. One study was conducted in both Israel and Italy. FMT was administered in the form of capsules or suspensions and delivered by mouth, nasoduodenal tube, enema, or colonoscopy. One study delivered FMT by both oral capsules and colonoscopy. Six studies were at overall low risk of bias, while the others had either unclear or high risk of bias. Ten studies with 468 participants, of which nine studies focused on adults and one focused on children, reported induction of clinical remission in people with UC at longest follow-up (range 6 to 12 weeks) and showed that FMT may increase rates of induction of clinical remission in UC compared to control (risk ratio (RR) 1.79, 95% confidence interval (CI) 1.13 to 2.84; low-certainty evidence). Five studies showed that FMT may increase rates of induction of endoscopic remission in UC at longest follow-up (range 8 to 12 weeks); however, the CIs around the summary estimate were wide and included a possible null effect (RR 1.45, 95% CI 0.64 to 3.29; low-certainty evidence). Nine studies with 417 participants showed that FMT may result in little to no difference in rates of any adverse events (RR 0.99, 95% CI 0.85 to 1.16; low-certainty evidence). The evidence was very uncertain about the risk of serious adverse events (RR 1.77, 95% CI 0.88 to 3.55; very low-certainty evidence) and improvement in quality of life (mean difference (MD) 15.34, 95% CI -3.84 to 34.52; very low-certainty evidence) when FMT was used to induce remission in UC. Two studies, of which one also contributed data for induction of remission in active UC, assessed maintenance of remission in people with controlled UC at longest follow-up (range 48 to 56 weeks). The evidence was very uncertain about the use of FMT for maintenance of clinical remission (RR 2.97, 95% CI 0.26 to 34.42; very low-certainty evidence) and endoscopic remission (RR 3.28, 95% CI 0.73 to 14.74; very low-certainty evidence). The evidence was also very uncertain about the risk of serious adverse events, risk of any adverse events, and improvement in quality of life when FMT was used to maintain remission in UC. None of the included studies assessed use of FMT for induction of remission in people with CD. One study with 21 participants reported data on FMT for maintenance of remission in people with CD. The evidence was very uncertain about the use of FMT for maintenance of clinical remission in CD at 24 weeks (RR 1.21, 95% CI 0.36 to 4.14; very low-certainty evidence). The evidence was also very uncertain about the risk of serious or any adverse events when FMT was used to maintain remission in CD. None of the studies reported data on use of FMT for maintenance of endoscopic remission or improvement in quality of life in people with CD. AUTHORS' CONCLUSIONS: FMT may increase the proportion of people with active UC who achieve clinical and endoscopic remission. The evidence was very uncertain about whether use of FMT in people with active UC impacted the risk of serious adverse events or improvement in quality of life. The evidence was also very uncertain about the use of FMT for maintenance of remission in people with UC, as well as induction and maintenance of remission in people with CD, and no conclusive statements could be made in this regard. Further studies are needed to address the beneficial effects and safety profile of FMT in adults and children with active UC and CD, as well as its potential to promote longer-term maintenance of remission in UC and CD.

Brief Alcohol Interventions are Effective through 6 Months: Findings from Marginalized Zero-inflated Poisson and Negative Binomial Models in a Two-step IPD Meta-analysis.

To evaluate and optimize brief alcohol interventions (BAIs), it is critical to have a credible overall effect size estimate as a benchmark. Estimating such an effect size has been challenging because alcohol outcomes often represent responses from a mixture of individuals: those at high risk for alcohol misuse, occasional nondrinkers, and abstainers. Moreover, some BAIs exclusively focus on heavy drinkers, whereas others take a universal prevention approach. Depending on sample characteristics, the outcome distribution might have many zeros or very few zeros and overdispersion; consequently, the most appropriate statistical model may differ across studies. We synthesized individual participant data (IPD) from 19 studies in Project INTEGRATE (Mun et al., 2015b) that randomly allocated participants to intervention and control groups (N = 7,704 participants, 38.4% men, 74.7% White, 58.5% first-year students). We sequentially estimated marginalized zero-inflated Poisson (Long et al., 2014) or negative binomial regression models to obtain covariate-adjusted, study-specific intervention effect estimates in the first step, which were subsequently combined in a random-effects meta-analysis model in the second step. BAIs produced a statistically significant 8% advantage in the mean number of drinks at both 1-3 months (RR = 0.92, 95% CI = [0.85, 0.98]) and 6 months (RR = 0.92, 95% CI = [0.85, 0.99]) compared to controls. At 9-12 months, there was no statistically significant difference in the mean number of drinks between BAIs and controls. In conclusion, BAIs are effective at reducing the mean number of drinks through at least 6 months post intervention. IPD can play a critical role in deriving findings that could not be obtained in original individual studies or standard aggregate data meta-analyses.

Brief alcohol interventions for young adults: Strengthening effects, disentangling mechanisms, and scaling up for impact.

OBJECTIVE: Young adulthood is a developmentally risky period for hazardous or high-intensity alcohol consumption that can progress to an alcohol use disorder (AUD). Brief interventions offer one promising approach for reducing alcohol consumption and related harms among young adults. However, there are numerous methodological and theoretical challenges associated with optimizing intervention design, identifying mechanisms of action, understanding individual and contextual moderators of effects, and scaling up these interventions for widespread implementation and utilization. The current article serves as an editorial introduction to this special issue of Psychology of Addictive Behaviors, titled "Brief Alcohol Interventions for Young Adults," which aims to highlight critical inflection points and opportunities for advancing the scientific study of brief alcohol interventions among young adults. RESULTS: The articles in this special issue address innovative methods and approaches that can be used to personalize and strengthen the magnitude and durability of brief intervention effects; considerations of intervention components and technology enhancements; and implementation science considerations for producing population-level changes in alcohol use to reduce AUD among young adults. CONCLUSIONS: In this editorial introduction, we discuss several common themes from the articles included in the special issue and highlight important directions for future research aimed at strengthening the effects, disentangling mechanisms, and scaling up brief alcohol interventions for broader impact on the young adult population. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Discrepant Parent-Adolescent Reports of Parenting Practices: Associations with Adolescent Internalizing and Externalizing Symptoms.

Discrepancies in multi-informant reports of parenting practices represent a meaningful clinical construct that can be harnessed to predict adolescent mental health outcomes and shed light on the nature of parent-adolescent relationships. To date, however, no research has sought to examine discrepancies in perceptions of parenting practices among adolescents with histories of substance use disorders, a population for whom supportive parenting is a critical protective factor during the recovery process. This study examined parent-adolescent informant discrepancies of parenting practices and their associations with externalizing and internalizing symptomology among a sample of adolescents with substance use disorder histories. Data were analyzed from 294 adolescents (M adolescent age = 16 years; 45% female, 72% white) and their parents (87% female, 83% white) from a larger longitudinal study. Parenting practices of interest were positive parenting, inconsistent discipline, and poor monitoring. Polynomial regression analyses were used to test the discrepancy hypotheses. The results generally suggested null associations between single informant reports and internalizing and externalizing symptoms. Discrepancies were noted, however, in multi-informant reports of positive parenting, such that higher levels of adolescent-reported positive parenting were associated with higher levels of internalizing symptoms at high (but not low) levels of parent-reported positive parenting. Similarly, discrepancies were noted in multi-informant reports of poor monitoring, such that lower levels of adolescent-poor monitoring were associated with higher externalizing symptoms at low levels of parent-reported poor monitoring. The findings are discussed in terms of research and clinical implications of collecting and utilizing multi-informant data among clinical samples of adolescents with unique risk profiles.

Modern Meta-Analytic Methods in Prevention Science: Introduction to the Special Issue.

Meta-analyses that statistically synthesize evidence from multiple research studies can play an important role in advancing evidence-informed prevention science. When done in the context of a well-conducted systematic review, meta-analysis is a powerful tool for synthesizing evidence and exploring research questions that are difficult to address in individual studies, such as the association of individual study limitations on intervention effect estimates, replicability of empirical findings, and variation of effect estimates across populations and settings. Alongside the rapid growth in the number of published reviews and meta-analyses, there has been a parallel growth in the development of meta-analytic techniques to handle the increasingly complex types of questions and types of evidence relevant to prevention science. Despite this rapid evolution of meta-analytic techniques and approaches, there is still a lag between the development of new techniques and their uptake by researchers in the field. This paper serves as a brief introduction to this special issue of Prevention Science, entitled "Modern Meta-Analytic Methods in Prevention Science," which highlights recent developments in meta-analytic methods and demonstrates their application to prevention research. This special issue makes an important contribution to the field by ensuring these methodological advances are widely accessible to prevention science researchers, thereby improving their uptake and utilization, and ultimately improving the utility and rigor of research syntheses for informing evidence-based decision making in prevention.

Advancing the science of evaluating Collegiate Recovery Program processes and outcomes: A recovery capital perspective.

Collegiate recovery programs (CRPs) offer resources and programming for postsecondary students in addiction recovery to ensure they can initiate or maintain their recovery and complete college. To achieve these goals, CRPs offer a variety of activities that research and theory suggests should produce positive outcomes among their students; yet the lack of systematic evaluation research in this area means it is unknown which programming components may drive outcomes. Recovery capital theory posits a variety of factors at multiple ecological levels that might influence students' recovery experience and their engagement and success in community programs like CRPs. To address this complexity in research and evaluation work on CRPs, we provide a recovery capital-oriented theory of change and logic model for CRP evaluations, and demonstrate how this model could be used with an exemplar case. This is followed by a recovery capital-oriented data collection toolkit for future research and evaluation. These efforts should help to inform program planners and evaluators interested in understanding the influence of the ecosystem of recovery-oriented systems of care in CRPs for emerging adults.

Differential Predictors of Suicidal Ideation and Suicide Attempts: Internalizing Disorders and Substance Use in a Clinical Sample of Adolescents.

Objective: Dually diagnosed adolescents are a high-risk population for experiencing suicidal thoughts and behavior. Given that research suggests risk factors for suicidal ideation and suicide attempts may be different, this study examined whether internalizing disorder severity, frequency of substance use, and the interaction between them differentiated adolescents who attempted suicide from those who ideated. Methods: Baseline data from 287 adolescents who received formal substance use disorder (SUD) treatment were used in this analysis. Major depressive disorder (MDD) and generalized anxiety disorder (GAD) severity as well as past-3 month use of alcohol, cannabis, and other illicit drugs were considered. The outcome of interest was a three-category measure of suicide risk: no reported suicidal ideation or attempts, suicidal ideation only, and suicide attempts. Results: Over half of the sample disclosed prior suicidal ideation (30.0%) or attempts (27.9%). Multinomial logistic regression models indicated more severe MDD and GAD symptomology differentiated ideators from non-suicidal adolescents, but internalizing disorder severity did not differ between ideators and attempters. Substance use frequency did not differ between suicide risk groups. MDD severity and frequency of alcohol use interacted to increase the risk of attempts, yet the effects were minimal. Instead, prior weapon violence victimization and sexual abuse were the largest differentiators between attempters and ideators. Conclusions: Findings suggest that internalizing disorder severity and prior traumatic experiences put adolescents with SUD histories at higher risk of suicidal thoughts and behaviors. Thus, integrating evidence-based suicide prevention and intervention efforts into SUD treatment is critical, particularly for dually diagnosed adolescents who meet these risk profiles. Psychotherapy and medication may help curtail the development of ideation by reducing symptoms of MDD and GAD, whereas adolescents with prior traumatic experiences may benefit from additional treatments shown to lower risk of suicide attempts.

Effects of brief substance use interventions delivered in general medical settings: a systematic review and meta-analysis.

AIMS: To estimate effects of brief substance use interventions delivered in general medical settings. METHODS: A systematic review and meta-analysis of randomized trials conducted since 1990 of brief substance use interventions in patients of any age or severity level recruited in general medical settings. Primary outcomes were any measure of substance use or substance-related consequences (indexed with Hedges' g and risk ratios). Mixed-effects meta-regressions were used to estimate overall effects and predictors of effect variability. Analyses were conducted separately by brief intervention (BI) target substance: alcohol only or drugs. FINDINGS: A total of 116 trials (64 439 participants) were identified; 111 (62 263 participants) provided effect size data and were included in the meta-analysis. Drug-targeted BIs yielded significant small improvements in multiple drug/mixed substance use (Hedges' g (g¯ ) = 0.08; 95% CI = 0.002, 0.15), but after adjusting for multiple comparisons, they did not produce significant effects on cannabis use ( g¯ = 0.06; 95% CI = 0.001, 0.12), alcohol use ( g¯ = 0.08; 95% CI = -0.0003, 0.17), or consequences ( g¯ = 0.05; 95% CI = 0.01, 0.10). Drug-targeted BIs yielded larger improvements in multiple drug/mixed substance use when delivered by a general practitioner ( g¯ = 0.19; 95% CI = 0.187, 0.193). Alcohol-targeted BIs yielded small beneficial effects on alcohol use ( g¯ = 0.12; 95% CI 0.08, 0.16), but no evidence of an effect on consequences ( g¯ = 0.05; 95% CI = -0.04, 0.13). However, alcohol-targeted BIs only had beneficial effects on alcohol use when delivered in general medical settings (g¯ = 0.17; 95% CI = 0.10, 0.24); the findings were inconclusive for those delivered in emergency department/trauma centers ( g¯ = 0.05; 95% CI = 0.00, 0.10). CONCLUSIONS: When delivered in general medical settings, alcohol-targeted brief interventions may produce small beneficial reductions in drinking (equivalent to a reduction in 1 drinking day per month). There is limited evidence regarding the effects of drug-targeted brief interventions on drug use.

Using Machine Learning to Identify and Investigate Moderators of Alcohol Use Intervention Effects in Meta-Analyses.

AIMS: To illustrate a machine learning-based approach for identifying and investigating moderators of alcohol use intervention effects in aggregate-data meta-analysis. METHODS: We illustrated the machine learning technique of random forest modeling using data from an ongoing meta-analysis of brief substance use interventions implemented in general healthcare settings. A subset of 40 trials testing brief alcohol interventions (BAIs) was used; these trials provided 344 estimates of post-intervention effects on participants' alcohol use as well as data on 20 potential moderators of intervention effects. These candidate moderators included characteristics of trial methodology and implementation, intervention design and participant samples. RESULTS: The best-fitting random forest model identified 10 important moderators from the pool of 20 candidate moderators. Meta-regression utilizing the selected moderators found that inclusion of prescriptive advice in a BAI session significantly moderated BAI effects on alcohol use. Observed effects were also significantly moderated by several methodological characteristics of trials, including the type of comparison group used, the overall level of attrition and the strategy used to address missing data. In a meta-regression model that included all candidate moderators, fewer coefficients were found to be significant, indicating that the use of a preliminary data reduction technique to identify only important moderators for inclusion in final analyses may have yielded improved statistical power to detect moderation. CONCLUSIONS: Machine learning methods can be valuable tools for clarifying the influence of trial, intervention and sample characteristics on alcohol use intervention effects, in particular when numerous candidate moderators are available.

Montreal Cognitive Assessment (MoCA) scores in medically compromised patients: A scoping review.

OBJECTIVE: The purpose of this review is to critically examine studies that have examined investigated the Montreal Cognitive Assessment (MoCA) and functional or medical outcomes and other health variables in patients with non-neurologic medical conditions. METHOD: Databases OVID Medline and Embase were systematically searched through April 2020, yielding 281 articles that were separately screened for inclusion. Study characteristics extracted from retained articles are presented in Table S1 (online supplemental materials). RESULTS: Thirty-six articles were retained. Cognitive impairment as assessed by the MoCA was associated with adverse health variables including increased morbidity/mortality, poorer functional abilities, increased length of hospital stay, and increased hospital readmissions in 34 of 36 articles. CONCLUSIONS: Cognitive impairment as detected by the MoCA was shown in 34 of 36 studies to be associated with worse functional or medical status compared to those with better cognitive functioning across a variety of medical populations. Further research is needed to better understand how to best use the MoCA to potentially inform treatment planning in medical populations, including referral for more detailed neuropsychological evaluation. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Social-Ecological Predictors of Opioid Use Among Adolescents With Histories of Substance Use Disorders.

Adolescent opioid misuse is a public health crisis, particularly among clinical populations of youth with substance misuse histories. Given the negative and often lethal consequences associated with opioid misuse among adolescents, it is essential to identify the risk and protective factors underlying early opioid misuse to inform targeted prevention efforts. Understanding the role of parental risk and protective factors is particularly paramount during the developmental stage of adolescence. Using a social-ecological framework, this study explored the associations between individual, peer, family, community, and school-level risk and protective factors and opioid use among adolescents with histories of substance use disorders (SUDs). Further, we explored the potential moderating role of poor parental monitoring in the associations between the aforementioned risk and protective factors and adolescent opioid use. Participants included 294 adolescents (M age = 16 years; 45% female) who were recently discharged from substance use treatment, and their parents (n = 323). Results indicated that lifetime opioid use was significantly more likely among adolescents endorsing antisocial traits and those whose parents reported histories of substance abuse. Additionally, adolescents reporting more perceived availability of substances were significantly more likely to report lifetime opioid use compared to those reporting lower perceived availability of substances. Results did not indicate any significant moderation effects of parental monitoring on any associations between risk factors and lifetime opioid use. Findings generally did not support social-ecological indicators of opioid use in this high-risk population of adolescents, signaling that the social-ecological variables tested may not be salient risk factors among adolescents with SUD histories. We discuss these findings in terms of continuing care options for adolescents with SUD histories that target adolescents' antisocial traits, perceived availability of substances, and parent histories of substance abuse, including practical implications for working with families of adolescents with SUD histories.