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Firearm injury is a significant public health concern among youth living in the United States. Youth with exposure to violence (ETV) are more susceptible to carrying and using a firearm. Few researchers, however, have examined psychological mechanisms undergirding the association between ETV and firearm aggression. Retaliatory attitudes have been discussed as a potential mediator linking ETV with firearm aggression. Moreover, organized activity participation may disrupt direct and indirect pathways connecting ETV to firearm aggression. We tested: (a) the mediating role of retaliatory attitudes in the ETV-firearm aggression link, and (b) the moderating role of organized activity participation among 570 youth with past year illicit drug use and seeking emerging department care in an urban emergency department (ages 14-24; 58.8% males). Using multigroup path analysis, ETV indirectly influenced firearm aggression through retaliatory attitudes for youth not involved organized activities. Organized activities also buffered the association between retaliatory attitudes (mediator) and firearm aggression (outcome). Organized activities may, therefore, prevent firearm aggression by reducing retaliatory attitudes among youth contending with ETV. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

BACKGROUND: High-intensity drinking (HID; 8+ U.S. standard drinks for women, 10+ men) is initiated during adolescence/emerging adulthood, increasing risk for negative outcomes, including blackouts. We examined baseline data from a study of risky drinking youth to identify factors associated with HID. METHODS: Risky drinkers (ages 16-24) were recruited online (positive 3-month AUDIT-C score) as part of a larger study to examine social media interventions for risky drinking. We used baseline survey data to examine HID in relation to demographics, substance use-related variables, and individual and social factors. RESULTS: Among 931 risky drinkers, 29.8% reported past-month HID, and those with HID reported greater substance use and consequences. In multivariable analysis, HID was associated with male sex; greater social motives, impulsivity, and motivation; lower self-efficacy; and greater likelihood of not living with parents, drinking with important peers, and parental disapproval of posting drinking pictures. When examining age group interactions (16-20; 21-24), underage drinkers with high sensation seeking scores and lower parental disapproval of posting drinking pictures on social media reported greater HID. CONCLUSIONS: Among risky drinking youth, male sex, social motives, impulsivity, higher motivation to and lower-self-efficacy to reduce drinking, living away from parents, more frequent drinking with important peers, and lower parental disapproval of posting drinking pictures on social media were positively associated with HID. Further, HID was associated with greater health consequences, underscoring the need for HID interventions. Such interventions may benefit from enhancing motivation and self-efficacy, particularly in social contexts, as well as increasing positive peer and leisure activities to reduce HID.

Objective Mobile technologies allow for accessible and cost-effective health monitoring and intervention delivery. Despite these advantages, mobile health (mHealth) engagement is often insufficient. While monetary incentives may increase engagement, they can backfire, dampening intrinsic motivations and undermining intervention scalability. Theories from psychology and behavioral economics suggest useful nonmonetary strategies for promoting engagement; however, examinations of the applicability of these strategies to mHealth engagement are lacking. This proof-of-concept study evaluates the translation of theoretically-grounded engagement strategies into mHealth, by testing their potential utility in promoting daily self-reporting. Method A microrandomized trial (MRT) was conducted with adolescents and emerging adults with past-month substance use. Participants were randomized multiple times daily to receive theoretically-grounded strategies, namely reciprocity (the delivery of inspirational quote prior to self-reporting window) and nonmonetary reinforcers (e.g., the delivery of meme/gif following self-reporting completion) to improve proximal engagement in daily mHealth self-reporting. Results Daily self-reporting rates (62.3%; n = 68) were slightly lower than prior literature, albeit with much lower financial incentives. The utility of specific strategies was found to depend on contextual factors pertaining to the individual's receptivity and risk for disengagement. For example, the effect of reciprocity significantly varied depending on whether this strategy was employed (vs. not employed) during the weekend. The nonmonetary reinforcement strategy resulted in different outcomes when operationalized in various ways. Conclusions While the results support the translation of the reciprocity strategy into this mHealth setting, the translation of nonmonetary reinforcement requires further consideration prior to inclusion in a full scale MRT. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

To identify critical periods for just-in-time adaptive interventions (JITAIs), we measured time-varying correlates of drinking (e.g., stress, mood) daily to predict near-term alcohol use. Emerging adults (aged 17-24; n=51) who reported past-month alcohol use used SARA, an app use designed to assess substance use, for 30 days. Participants completed daily process measures of stress, mood, hopefulness, free time, fun, and loneliness. Candidate variables for prediction of next-day drinking included a contextual factor (day of the week), between-person factors (age, sex), and within-person factors (daily process measure responses) as well as daily process measure noncompletion. We compared two approaches to predict next-day use. From the daily process measure responses, Approach 1 used the current day’s survey responses; whereas, Approach 2 used the deviation of daily responses from the participant’s average response in prior days. Backward model selection identified candidate variables to include in the logistic model. Each model’s discriminatory power was determined using the area under the curve (AUC). Toward identifying critical periods for interventions, decision rules for when next day alcohol use was likely are reported for the better performing approach. Approach 1 included day of the week, hopefulness, stress, and participant sex (AUC=0.76). Approach 2 included day of the week, and deviation in hopefulness rating (AUC=0.71). Decisional cutpoints are provided for the better performing model. Approach 1 provided better prediction than Approach 2. Decisional tools for identification of near-term alcohol use in emerging adults opens the door for JITAIs to reduce drinking and prevent consequences of use.

Objective The presence of unlocked firearms in the home is associated with increased risk of suicide and unintentional injury in youth. We adapted an evidence-based program for promoting safe firearm storage, Safety Check, to enhance its acceptability as a universal suicide prevention strategy in pediatric primary care. Methods We applied ADAPT-ITT, an established adaptation framework, to guide iterative program adaptation with ongoing input from key stakeholders. The present study describes 2 phases of ADAPT-ITT: the Production phase (generating adaptations) and the Topical Experts phase (gathering stakeholder feedback on adaptations). After generating proposed program adaptations based on 3 inputs (stakeholder feedback collected in a prior study, the behavioral science literature, and best practices in pediatric medicine), we elicited feedback from stakeholders with firearm expertise. The adaptations included changes such as clarifying firearm ownership will not be documented in the medical record and offering follow-up reminders. We also crowdsourced feedback from 337 parents to select a new name and program logo. Results Saturation was reached with 9 stakeholders. Feedback confirmed the value of adaptations that: 1) considered context (eg, reason for ownership), 2) promoted parent autonomy in decision-making, and 3) ensured privacy. The most preferred program name was Suicide and Accident prevention through Family Education (SAFE) Firearm. Conclusions Guided by an established adaptation framework that prioritized multistage stakeholder feedback, adaptations to the original Safety Check were deemed acceptable. We plan to test the SAFE Firearm program as a universal suicide prevention strategy in pediatric primary care via a hybrid effectiveness-implementation trial.

Firearms are the leading cause of death for high-school age teens. To inform prevention efforts, we characterize the prevalence of healthcare provider (HCP) counseling of caregivers of teens around firearm safety, safety conversation elements, and caregiver receptivity towards counseling. A cross-sectional web survey (6/24/2020-7/22/2020) was conducted among caregivers (n = 2924) of teens (age:14-18). Weights were applied to generate nationally representative estimates. Bivariate analyses and multivariate regressions were examined. Among respondents, 56.0% were women, 75.1% were non-Hispanic White, and mean (SD) age was 47.4. Firearm safety was the least discussed topic among caregivers reporting their teen received HCP preventative counseling (14.9%). For caregivers receiving counseling, the most common issues discussed were household firearms screening (75.7%); storing firearms locked (66.8%); and storing firearms unloaded (53.0%). Only 24.6% of caregivers indicated firearm safety was an important issue for teen HCPs to discuss and only 21.9% trusted teen HCPs to counsel about firearm safety. Female caregivers (aOR = 1.86;95%CI = 1.25-2.78), those trusting their teen's HCP to counsel on firearm safety (aOR = 9.63;95%CI = 6.37-14.56), and those who received teen HCP firearm safety counseling (aOR = 5.14;95%CI = 3.02-8.72) were more likely to favor firearm safety counseling. Caregivers of teens with prior firearm safety training (aOR = 0.50;95%CI = 0.31-0.80) were less likely to agree that firearm safety was an important preventative health topic. In conclusion, few caregivers receive preventive counseling on firearm safety from their teen's HCP, with trust a key barrier to effective intervention delivery. Future research, in addition to understanding barriers and establishing effective strategies to increase safety practices, should focus on increasing provider counseling competency.

ObjectivesTo evaluate motivations for firearm possession among urban young adults and determine if differences emerge between parents and non-parents, and to identify if storage practices differed according to motivation for firearm possession and parenting status.MethodsWe used cross-sectional data among young adults seeking urban emergency department treatment at Hurley Medical Center between 2017 and 2018. Our analyses, completed in 2020, included 194 firearm-possessing young adults, 95 of whom were young parents.ResultsFirearm-possessing parents were more likely to have a firearm for protection, than for any other motivation, compared with firearm-possessing non-parents (OR: 2.38, 95% CI 1.06 to 5.46). A significant interaction between parenting status and motivation for possession indicated the association between protective motivations and locked storage was significantly different between parents and non-parents, whereby there was a decreased odds of locked storage among non-parents who were motivated to possess a firearm for protection compared with any other motivation, but this association did not exist for parents (interaction OR=10.57, pConclusionParental motivation for possessing a firearm most often lies in the desire to protect families. This motivation, however, does not necessitate unsafe storage.

OBJECTIVE: Same day use of alcohol and cannabis is prevalent among emerging/young adults and increases the risk for negative consequences. Although motives for alcohol and cannabis use are well-documented, specific motives on co-use days are under-investigated. We examined differences in motives on single substance use (i.e., alcohol or cannabis) versus co-use days in a sample of primarily cannabis-using emerging/young adults. METHODS: Participants (N=97) aged 18–25 (M(age)=22.2) were recruited from an urban Emergency Department (55.7% female, 46.4% African American, 57.7% public assistance) for a prospective daily diary study about risk behaviors. Participants received prompts for 28 daily text message assessments (up to 2716 surveys possible) of substance use and motives (social, enhancement, coping, conformity). We divided use days into three groups: alcohol use only (n=126), cannabis use only (n=805), and co-use (n=237). Using fixed effects regression modeling, we fit models to estimate within-person effects of alcohol and cannabis motives on day type (alcohol/cannabis co-use versus single use). RESULTS: In adjusted models, greater cannabis-related enhancement and social motives were associated with increased likelihood of co-use days compared to cannabis-only days. In contrast, greater alcohol-related social motives were associated with co-use days versus alcohol-only days in unadjusted, but not in adjusted models. CONCLUSIONS: Findings suggest that cannabis use motives associated with increasing positive affect may be most compelling for those engaging in alcohol/cannabis use on a given day. Intervention programs for alcohol/cannabis use should address alcohol and cannabis use motives in relation to increasing positive affect and engaging in social situations.

PURPOSE: Alcohol use among adolescents and emerging adults is an important public health issue requiring prevention approaches. Herein, we describe outcomes from a randomized controlled trial testing the efficacy of group-based social media interventions targeting risky drinking among youth. PROCEDURES: Using social media advertisements to screen potential participants, we recruited 955 youth (ages 16–24) reporting recent risky drinking. After completing a baseline assessment, participants were randomized to 8-week secret Facebook group conditions: Social Media Intervention + Incentives for engagement, Social Media Intervention only, and attention-placebo control. Electronic coaches trained in motivational interviewing facilitated interaction in intervention groups. Primary outcomes include past 3-month alcohol use and consequences over 3-, 6-, and 12-month follow-ups. Secondary outcomes include other drug use, consequences, and impaired driving. We also measured intervention engagement and acceptability. RESULTS: The interventions were well-received, with significantly greater acceptability ratings and engagement in the SMI+I condition relative to other groups. In adjusted analyses, there were no significant differences between interventions and control on alcohol-related outcomes, with all groups showing reductions. Regarding secondary outcomes (70.4% used other drugs), compared to control, the incentivized group reduced other drug use, consequences, and cannabis-impaired driving; the non-incentivized group did not significantly differ from the control condition. CONCLUSIONS: Among this predominantly poly-substance using sample, findings were mixed, with significant effects of the incentive social media intervention on drug (but not alcohol) outcomes. Future studies are needed to further refine social media-delivered interventions to reduce alcohol and other drug use. TRIAL REGISTRATION: ClinicalTrials.gov NCT02809586; University of Michigan HUM#00102242.

Same-day alcohol and cannabis use is relatively common in adolescents and young adults, constituting a higher-risk behavior relative to single-substance use. However, the association between quantity of alcohol and cannabis use on co-use days is understudied. We examined the association between the quantity of alcohol and same-day cannabis use with a multilevel regression analysis in a sample of youth (16-24 years old) with risky alcohol use. Participants reported one or more days of alcohol and cannabis over the past month (N = 468). Quantity of cannabis use was highest on heavy drinking days [M = 0.91 grams, SD = 0.68] followed by moderate drinking days (M = 0.78 grams, SD = 0.63), and lowest on days without alcohol use (M = 0.74 grams, SD = 0.64, p < 0.001). In multilevel modeling analyses, adjusted for clustering within individuals, greater quantity of drinking on a given day was associated with greater cannabis use (estimate = 0.03, p < 0.001). When using alcohol and cannabis on the same day, greater alcohol use was associated with greater cannabis use. Preventing days of heavy use of multiple substances, particularly among at-risk drinkers, may complement interventions addressing co-use generally to prevent substance-related consequences.

The classical two-arm randomized clinical trial (RCT) is designed to test the efficacy or effectiveness of an intervention, which may consist of one or more components. However, this approach does not enable the investigator to obtain information that is important in intervention development, such as which individual components of the intervention are efficacious, which are not and possibly should be removed, and whether any components interact. The Multiphase Optimization Strategy (MOST) is a new framework for development, optimization, and evaluation of interventions. MOST includes the RCT for purposes of evaluation, but inserts a phase of research before the RCT aimed at intervention optimization. The optimization phase requires one or more separate trials similar in scope to an RCT, but employing a different experimental design. The design of the optimization trial is selected strategically so as to maximize the amount of scientific information gained using the available resources. One consideration in selecting this experimental design is the type of intervention to be optimized. If a fixed intervention, i.e. one in which the same intervention content and intensity is provided to all participants, is to be optimized, a factorial experiment is often appropriate. If an adaptive intervention, i.e. one in which intervention content or intensity is varied in a principled manner, is to be optimized, a sequential multiple-assignment randomized trial (SMART) is often a good choice. The objective of this article is to describe MOST and the scientific rationale for its use; describe two current applications of MOST in emergency medicine research, one using a factorial experiment and the other using a SMART; and discuss funding strategies and potential future applications in studying the care of individuals with acute illness, injury, or behavioral disorders.

Background and objectivesYouth violence is an alarming public health problem, yet, violence screening and interventions are not systematically offered in primary care (PC). This paper describes data from a pilot effectiveness-implementation trial of an efficacious youth violence prevention programme (SafERteens).MethodsThe study was conducted in two PC clinics: a university-affiliated satellite clinic and a community health centre. In phase 1, we obtained stakeholder feedback to customise the SafERteens package and enrolled a comparison group of adolescents (age 14–18) seeking care in two clinics. In phase 2, clinical staff delivered the SafERteens-PC intervention with adolescents, which is a single, behavioural health therapy session delivered one-on-one from clinic providers to youth patients, followed by text message (TM) reminders. In phase 3, we assessed planned maintenance. All participants reported past-year violent behaviour at intake and completed a 3-month follow-up assessment.ResultsBased on stakeholder interviews (n=13), we created a web-based SafERteens-PC programme package, including a three-item past-year violence screen, 30 min motivational interviewing-based brief intervention delivery tool, training videos and 2 months of TM boosters. We enrolled a comparison group (n=49) first, then an intervention group (n=61). Intervention delivery characteristics varied by clinic, including completion of intervention (75.9%; 62.5%), modality (100% delivered via telehealth; 60% via telehealth/40% in-person) and enrolment in TMs (81.8%; 55.0%); 91.8% completed the follow-up. Using an intention-to-treat approach, the intervention group showed significantly greater reductions in severe peer aggression (pConclusionsIf these challenges could be addressed, routine provision of behavioural health services for violence prevention in PC could have high impact on health outcomes for adolescents.

OBJECTIVE: Campus sexual assault (SA) prevention programs are widely implemented, despite few having strong empirical support. To inform the development and refinement of prevention programs, we collected pilot qualitative data to capture undergraduates’ perspectives regarding desirable program characteristics. PARTICIPANTS: Undergraduates completed an audio-taped interview (n=19) or a focus group (n=16) in June – November 2016. METHODS: We double-coded transcripts for a priori and emerging themes using NVivo 11. A third coder resolved disagreements; we assessed intercoder reliability using Cohen’s Kappa. RESULTS: Participants preferred SA prevention programming to be delivered in-person to small, co-ed groups of unfamiliar students. Students preferred programming with peer-facilitated, candid conversation about SA outcomes and prevention strategies. Participants also preferred for the tone of these training sessions to match the serious subject matter. CONCLUSIONS: Students’ perceptions of desirable program characteristics differ somewhat from current evidence-based programs in several ways, highlighting important future directions for SA prevention research.

BACKGROUND AND AIMS: Despite their high comorbidity, the effects of brief interventions (BI) to reduce cannabis use, alcohol use, and anxiety symptoms have received little empirical attention. The aims of this study were to examine whether a therapist-delivered BI (TBI) or computer-guided BI (CBI) to address drug use, alcohol consumption (when relevant) and HIV risk behaviors, relative to enhanced usual care (EUC), was associated with reductions in parallel trajectories of alcohol use, cannabis use, and anxiety symptoms, and whether demographic characteristics moderated reductions over time. DESIGN: Latent growth curve modeling was used to examine joint trajectories of alcohol use, cannabis use, and anxiety symptoms assessed at 3-, 6-, and 12-months after baseline enrollment. SETTING: Hurley Medical Center Emergency Department (ED) in Flint, Michigan, USA. PARTICIPANTS: The sample was 780 drug-using adults (18–60 years old; 56% female; 44% White) randomly assigned to receive either a TBI, CBI, or EUC through the HealthiER You study. INTERVENTIONS AND COMPARATOR: ED-delivered TBI and CBIs involved touchscreen-delivered and audio-assisted content. The TBI was administered by a Master’s-level therapist, whereas the CBI was self-administered using a virtual health counselor. EUC included a review of health resources brochures in the ED. MEASUREMENTS: Assessments of alcohol use (10-item Alcohol Use Disorders Identification Test), cannabis use (past 30-day frequency) and anxiety symptoms (Brief Symptom Inventory-18) occurred at baseline, and 3-, 6-, and 12-month follow-up. FINDINGS: TBI, relative to EUC, was associated with significant reductions in cannabis use (B=−.49, SE=.20, p

Risk and protective factors for firearm assault (FA) have been established, but little is known about factor preceding transitions in FA behavior. We modeled covariate effects on individuals’ transitions in FA behavior (Yes/No) using inhomogeneous, continuous-time, Markov Chains. 3287 assessments were made across five initial biannual follow-ups, and two additional biannual follow-ups (an average of 2.2 years later) from a follow-on study; 2687 pairs of transitions were observed (2414 No-FA → No-FA; 89 No-FA → FA; 121 FA → No-FA; 63 FA → FA). Non-firearm peer violence (HR = 2.31, 95% CI [1.28,4.21]), firearm victimization (HR = 2.57, 95% CI [1.31,5.04]), and marijuana ASSIST sum (HR = 1.27, 95% CI [1.05,1.54]) all preceded transitions into FA, but not transitions out of FA. Delinquent peer associations both hastened transitions into FA (HR = 1.19, 95% CI [1.00,1.40]) and slowed transitions out of FA (HR = 0.84, 95% CI:[0.72,1.00]), with analogous findings regarding attitudes favoring retaliation. Efforts to prevent FA initiation should focus on those currently reporting firearm violence victimization, and on factors indicating an escalating delinquency trajectory (e.g. non-firearm violence, substance use), while programs focusing on peer influences and social norms may be effective at preventing FA regardless of current FA status.

Intentional and unintentional firearm injury is the second leading cause of death for youth, underscoring the need for effective primary prevention approaches that focus on increasing safe storage by caregivers and decreasing handling/carriage among youth. This article describes the state of the science for prevention of firearm injuries among children and adolescents. We applied PRISMA guidelines to present results from a scoping review using PubMed, Scopus, CINAHL, and CJ Abstracts for original research articles published between January 1, 1985 and March 1, 2018 in the U.S. focusing on primary screening or interventions for primary prevention of pediatric firearm injuries. In total, 46 articles met inclusion criteria: safe storage (23), screening (2), firearm handling/carriage/use (21). Across school, healthcare, and community settings, few evidenced-based programs exist, and data on firearm safety technologies are lacking. Programs have generally not employed rigorous designs, and/or assessed behavioral (e.g., carriage) or injury-related firearm outcomes. Evidenced-based prevention programs are needed to mitigate firearm morbidity and mortality among youth.

OBJECTIVE: To examine the efficacious components of a computer-delivered brief intervention (CBI) for reducing marijuana use among adults presenting to a low-income urban emergency department (ED), which a prior report found to decrease marijuana use at a 6-month follow-up. METHOD: Participants were 237 ED patients reporting recent drug use (46% male; 54% African-American; mean age, 30.7) who were randomized to receive a CBI consisting of an interactive program guided by a virtual health counselor. The primary outcome was past 30-day marijuana use at 6-month follow-up assessed using the Timeline Follow-Back (TLFB). Intervention components related to change in marijuana use at 6 month follow-up examined in the current study included participant responses to items within five CBI domains that were rooted in motivational interviewing: goals for change, strengths, evoking-change (concerns about use and benefits of change), challenges, and tools for change. RESULTS: The evoking-change domain was related to significant reductions in marijuana use at 6 months (B=−2.91, SE=1.10, p

Background Driving under the influence of cannabis (DUIC) is a public health concern among those using medical cannabis. Understanding behaviors contributing to DUIC can inform prevention efforts. We evaluated three past 6-month DUIC behaviors among medical cannabis users with chronic pain. Methods Adults (N = 790) seeking medical cannabis certification or recertification for moderate/severe pain were recruited from February 2014 through June 2015 at Michigan medical cannabis clinics. About half of participants were male (52%) and 81% were White; their Mean age was 45.8 years. Participants completed survey measures of DUIC (driving within 2 h of use, driving while “a little high,” and driving while “very high”) and background factors (demographics, alcohol use, etc.). Unadjusted and adjusted logistic regressions were used to examine correlates of DUIC. Results For the past 6 months, DUIC within 2 h of use was reported by 56.4% of the sample, DUIC while a “little high” was reported by 50.5%, and “very high” was reported by 21.1%. Greater cannabis quantity consumed and binge drinking were generally associated with DUIC behaviors. Higher pain was associated with lower likelihood of DUIC. Findings vary somewhat across DUIC measures. Conclusions The prevalence of DUIC is concerning, with more research needed on how to best measure DUIC. Prevention messaging for DUIC may be enhanced by addressing alcohol co-consumption.

Background Youth violence is a leading cause of adolescent mortality, underscoring the need to integrate evidence-based violence prevention programs into routine emergency department (ED) care. Objectives To examine the translation of the SafERteens program into clinical care. Methods Hospital staff provided input on implementation facilitators/barriers to inform toolkit development. Implementation was piloted in a four-arm effectiveness-implementation trial, with youth (ages 14–18 years) screening positive for past 3-month aggression randomized to either SafERteens (delivered remotely or in-person) or enhanced usual care (EUC; remote or in-person), with follow-up at post-test and 3 months. During maintenance, ED staff continued in-person SafERteens delivery and external facilitation was provided. Outcomes were measured using the RE-AIM implementation framework. Results SafERteens completion rates were 77.6% (52/67) for remote and 49.1% (27/55) for in-person delivery. In addition to high acceptability ratings (e.g., helpfulness), post-test data demonstrated increased self-efficacy to avoid fighting among patients receiving remote (incidence rate ratio [IRR] 1.22, 95% confidence interval [CI] 1.09–1.36) and in-person (IRR 1.23, 95% CI 1.12–1.36) SafERteens, as well as decreased pro-violence attitudes among patients receiving remote (IRR 0.83, 95% CI 0.75–0.91) and in-person (IRR 0.87, 95% CI 0.77–0.99) SafERteens when compared with their respective EUC groups. At 3 months, youth receiving remote SafERteens reported less non-partner aggression (IRR 0.52, 95% CI 0.31–0.87, Cohen's d −0.39) and violence consequences (IRR 0.47, 95% CI 0.22–1.00, Cohen's d −0.49) compared with remote EUC; no differences were noted for in-person SafERteens delivery. Barriers to implementation maintenance included limited staff availability and a lack of reimbursement codes. Conclusions Implementing behavioral interventions such as SafERteens into routine ED care is feasible using remote delivery. Policymakers should consider reimbursement for violence prevention services to sustain long-term implementation.

Background The need for effective interventions for psychiatrically hospitalized adolescents who have varying levels of postdischarge suicide risk calls for personalized approaches, such as adaptive interventions (AIs). We conducted a nonrestricted pilot Sequential, Multiple Assignment, Randomized Trial (SMART) to guide the development of an AI targeting suicide risk after hospitalization. Methods Adolescent inpatients (N = 80; ages 13-17; 67.5% female) were randomized in Phase 1 to a Motivational Interview-Enhanced Safety Plan (MI-SP), delivered during hospitalization, alone or in combination with postdischarge text-based support (Texts). Two weeks after discharge, participants were re-randomized in Phase 2 to added telephone booster calls or to no calls. Mechanisms of change were assessed with daily diaries for four weeks and over a 1- and 3-month follow-up. This trial is registered with clinicaltrials.gov (identifier: NCT03838198). Results Procedures were feasible and acceptable. Mixed effects models indicate that adolescents randomized to MI-SP + Texts (Phase 1) and those randomized to booster calls (Phase 2) experienced significant improvement in daily-level mechanisms, including safety plan use, self-efficacy to refrain from suicidal action, and coping by support seeking. Those randomized to MI-SP + Texts also reported significantly higher coping self-efficacy at 1 and 3 months. Although exploratory, results were in the expected direction for MI-SP + Texts, versus MI-SP alone, in terms of lower risk of suicide attempts (Hazard ratio = 0.30; 95% CI = 0.06, 1.48) and suicidal behavior (Hazard ratio = 0.36; 95% CI = 0.10, 1.37) three months after discharge. Moreover, augmentation with booster calls did not have an overall meaningful impact on suicide attempts (Hazard ratio = 0.65; 95% CI = 0.17, 3.05) or suicidal behavior (Hazard ratio = 0.78; 95% CI = 0.23, 2.67); however, boosters benefited most those initially assigned to MI-SP + Texts. Conclusions The current SMART was feasible and acceptable for the purpose of informing an AI for suicidal adolescents, warranting additional study. Findings also indicate that postdischarge text-based support offers a promising augmentation to safety planning delivered during hospitalization.

Just-in-time adaptive interventions (JITAIs) are time-varying adaptive interventions that use frequent opportunities for the intervention to be adapted--weekly, daily, or even many times a day. The micro-randomized trial (MRT) has emerged for use in informing the construction of JITAIs. MRTs can be used to address research questions about whether and under what circumstances JITAI components are effective, with the ultimate objective of developing effective and efficient JITAI. The purpose of this article is to clarify why, when, and how to use MRTs; to highlight elements that must be considered when designing and implementing an MRT; and to review primary and secondary analyses methods for MRTs. We briefly review key elements of JITAIs and discuss a variety of considerations that go into planning and designing an MRT. We provide a definition of causal excursion effects suitable for use in primary and secondary analyses of MRT data to inform JITAI development. We review the weighted and centered least-squares (WCLS) estimator which provides consistent causal excursion effect estimators from MRT data. We describe how the WCLS estimator along with associated test statistics can be obtained using standard statistical software such as R (R Core Team, 2019). Throughout we illustrate the MRT design and analyses using the HeartSteps MRT, for developing a JITAI to increase physical activity among sedentary individuals. We supplement the HeartSteps MRT with two other MRTs, SARA and BariFit, each of which highlights different research questions that can be addressed using the MRT and experimental design considerations that might arise., Comment: arXiv admin note: substantial text overlap with arXiv:2005.05880, arXiv:2004.10241

Understanding factors influencing risky drinking among emerging adults could enhance interventions to reduce adverse outcomes. As a motivational construct, the dualistic model of passion (i.e., obsessive passion: drinking is compelling and conflicts with other life activities/values; harmonious passion: drinking is an important, but not overwhelming, part of life) offers a novel explanation for persistent alcohol use. Yet, the dualistic model of passion has not yet been evaluated in this at-risk population. Therefore, we examined whether the variables proposed by the dualistic model of passion were associated with sex, binge-drinking, and alcohol-related consequences among young risky drinkers. We analyzed cross-sectional baseline data collected as part of an ongoing randomized controlled trial of emerging adults (n=327; M(age)=22.6, SD=1.1, range 21–24; 61% female; 76% White non-Hispanic) engaged in risky drinking (AUDIT-C score ≥ 4 females, ≥ 5 males) recruited nationally via social media advertisements. A path analysis revealed significant positive direct effects between obsessive passion and binge drinking and alcohol-related consequences, and significant negative direct effects between male sex and harmonious passion and binge drinking. There was also a positive direct effect between binge drinking and alcohol-related consequences. Male sex and obsessive passion were both indirectly related to alcohol-related consequences via binge drinking. Type of passion and male sex differentiates risky drinkers who binge drink and who experienced alcohol-related consequences. Future research should examine whether targeting obsessive passion reduces binge drinking and negative outcomes.

INTRODUCTION: Youth who carry firearms—and peers that surround them—are at increased risk for violent injuries. Because firearm carriage behaviors can change over time within an individual, it is important to identify individual and social-contextual determinants that explain this within-person variability in carriage. METHODS: The authors identified individual and social-contextual determinants of firearm carriage in the past 6 months using multilevel logistic models on five waves of panel data from the Flint Youth Injury Study (n=597; ages 14–24 years), collected in 2009–2011 and analyzed in 2019. RESULTS: Regarding within-person effects, when an individual had more positive peer affiliations compared with their average, their odds of carrying a firearm decreased (OR=0.88; 95% CI=0.81, 0.96). Conversely, an individual’s odds of carrying a firearm increased when they had more negative peer affiliations (OR=1.08, 95% CI=1.02, 1.14), experienced more victimization (OR=1.03, 95% CI=1.01, 1.05), perceived greater community violence (OR=1.12, 95% CI=1.05, 1.21), or exhibited greater retaliatory attitudes (OR=1.10, 95% CI=1.01, 1.19) than their average. CONCLUSIONS: Peer affiliations, victimization, community violence perceptions, and retaliatory attitudes explain within-person variability in firearm carriage. Strategies for reducing carriage among youth should consider individual- and environmental-level interventions to address these individual and social-contextual determinants.

© 2020, © 2020 Taylor & Francis Group, LLC. Objective: Preventing sexual violence among college students is a public health priority. This paper was catalyzed by a summit convened in 2018 to review the state of the science on campus sexual violence prevention. We summarize key risk and vulnerability factors and campus-based interventions, and provide directions for future research pertaining to campus sexual violence. Results and Conclusions: Although studies have identified risk factors for campus sexual violence, longitudinal research is needed to examine time-varying risk factors across social ecological levels (individual, relationship, campus context/broader community and culture) and data are particularly needed to identify protective factors. In terms of prevention, promising individual and relational level interventions exist, including active bystander, resistance, and gender transformative approaches; however, further evidence-based interventions are needed, particularly at the community-level, with attention to vulnerability factors and inclusion for marginalized students.

Intervention effects observed in efficacy trials are rarely seen when programs are broadly disseminated, underscoring the need to better understand factors influencing fidelity. The Michigan Model for Health™ (MMH) is an evidence-based health curriculum disseminated in schools throughout Michigan that is widely adopted but delivered with limited fidelity. Understanding implementation determinants and how they influence fidelity is essential to achieving desired implementation and behavioral outcomes. The study surveyed health teachers throughout Michigan (n = 171) on MMH implementation, guided by the Consolidated Framework for Implementation Research. We investigated relationships between context, intervention and provider factors and dose delivered (i.e., the proportion of curriculum delivered by teachers), a fidelity dimension. We also examined whether intervention factors were moderated by provider factors to influence fidelity. Our results indicated that program packaging ratings were associated with dose delivered (fidelity). We also found that this relationship was moderated by teacher experience. The strength of this relationship diminished with increasing levels of experience, with no relationship among the most experienced teachers. Intervention adaptability was also associated with dose delivered. We found no association between health education policies (context), provider beliefs, and dose delivered. Intervention factors are important determinants of fidelity. Our results suggest that providers with more experience may need materials tailored to their knowledge and skill level to support materials’ continued usefulness and fidelity long-term. Our results also suggest that promoting adaptability may help enhance fidelity. Implementation strategies that focus on systematically adapting evidence-based health programs may be well suited to enhancing the fidelity of the MMH curriculum across levels of teacher experience.

This study examines alcohol consumption, anxiety, trait mindfulness, and physical and sexual dating violence aggression (PDV and SDV) among 735 emerging adults (18-25 years) in an urban emergency department. Of the total sample, 27.2% perpetrated PDV and 16.5% perpetrated SDV. Alcohol was positively associated with PDV/SDV. Anxiety was positively associated with PDV. Mindfulness was negatively associated with PDV/SDV. Interaction analyses revealed women had lower PDV with higher nonjudgment facet of mindfulness. Higher act aware was associated with lower PDV regardless of high versus low alcohol. Findings indicate different contributing factors among perpetrators of PDV/SDV; some factors may be attenuated by mindfulness.

BACKGROUND: Reducing underage drinking is a public health priority given increased risk for injury and other consequences. Emergency department (ED) visits offer a potential “teachable moment” to initiate interventions among youth engaged in risky drinking. Given mixed findings for alcohol brief interventions (BIs), this paper examined baseline markers of BI response in order to inform future interventions. METHOD: We conducted secondary analyses of data from a randomized controlled trial of an alcohol BI delivered to youth in an ED. Among 475 participants (M(age)=18.6, SD=1.4; 48.7% Female, 78.6% White/Caucasian) receiving a computer or therapist BI, we examined baseline characteristics (i.e., demographic, substance use, mood, risk/protective factors, and readiness to change) that predicted positive intervention response (i.e., BI responder) at 3-month follow-up using AUDIT-C scores (cut offs: < 3 for ages 14–17; < 4 for ages 18–20). RESULTS: Mediated logistic regression analysis (controlling for demographics) showed that greater readiness to change at baseline was positively related to BI response and baseline alcohol consumption was negatively related to BI response. Having a mentor was indirectly related to BI response via baseline alcohol consumption. Baseline readiness to change and alcohol consumption mediated the association between positive peer influences and BI response, whereas readiness to change mediated the relation between depression and BI response. CONCLUSION: Findings suggest that BI response is influenced by protective social factors, such as positive peers and mentors, and depression, via alcohol severity indicators (i.e., readiness to change, consumption), thus providing clues to enhancing the content and dose of early interventions.

Purpose Perpetration of violent behavior begins to increase in adolescence and peaks in young adulthood (e.g., age 18–29) before decreasing by the early 30s. Considerable variability in reported perpetration, targets, and severity of violence suggests youth may change their violent behavior patterns over time. Methods We use latent transition analysis to describe profiles of violent behavior against partners and nonpartners in an at-risk sample of young adults (N = 599; 59% male; 61% African-American) over a period of 2 years. Results A four-class solution provided the best fit to the data, with classes corresponding to (1) nonviolent behavior (48.3% of the sample); (2) violent only toward nonpartners (22.3%); (3) violent only toward partners (16.0%); and (4) violent toward nonpartners and partners (13.4%). Participants' sex, race, age, previous violent injury, antisocial behavior, alcohol dependence, and possession of firearms were associated with baseline class membership. Conclusions Implications for prevention are discussed.

Video gaming, a remarkably popular hobby in the United States, has been consistently identified as a correlate of aggressive behavior, and this association is not limited to violent video gaming. Prior studies of sex differences in the association between video gaming and aggression have not controlled for other well-known violence correlates (e.g., substance use, community violence exposure, violence attitudes) or focused primarily on high-risk youth. In this study, we used data from an emergency department in Flint, Michigan ( N = 409, 59.9% female, 93.4% African American) to identify sex differences in the association between video gaming and serious peer violence. Youth aged 14 to 20 years were recruited from October 2011 to March 2015, and self-administered computerized surveys including measures of demographics, violence perpetration, gaming frequency, substance use, community violence exposure, and violence attitudes. The primary outcome was an indicator of any serious violence perpetration (e.g., choking, burning, weapon violence) in the past 2 months. Using logistic regression, we estimated the association between gaming and serious violence perpetration, and how it varied by sex, while controlling for demographics, substance use, community violence exposure, and violence attitudes. Approximately 36.6% of males and 27.3% of females reported past 2-month serious violence. On adjusted analysis, hours spent gaming was associated with violence among females (odds ratio [OR] = 1.40, 95% confidence interval [CI] = [1.16, 1.78]), but not males (OR = 1.03, 95% CI = [0.89, 1.19]); in the model including both males and females, the interaction between hours gaming and sex was significant ( p < .01). Our findings suggest video gaming is a stronger marker of severe violence perpetration in females than males among at-risk youth. Violence interventions among females may be improved by including content related to video gaming and identifying other prosocial activities for youth as an alternative to video gaming. Additional research is required to clarify the causal process underlying the identified associations, and to determine what aspects of video gaming are risk-enhancing.

Objectives Drugged driving [DD] is a public health concern, particularly among emerging adults who have the highest rates of drug use. Understanding involvement with DD could inform prevention efforts for this population. We evaluated the prevalence of, motives for, and correlates of past-year DD among emerging adults from an urban, under-resourced community. Methods Emerging adults (N = 586) ages 18–25 years (54% male, 56% African American, 34% European American) seeking care in an urban emergency department completed past-year surveys of demographics, frequency of DD within 4 h of substance use, reasons for DD, and substance use. Results DD was reported by 24% of participants (with 25% of those engaging in high frequency DD). DD after cannabis use was most common (96%), followed by prescription opioids, sedatives, and stimulants (9%–19%). Common reasons for DD were: needing to go home (67%), not thinking drugs affected driving ability (44%), not having to drive far (33%), and not feeling high (32%). Demographics were not associated with DD, but, as expected, those with DD had riskier substance use. Conclusions In this clinical sample, using a conservative measure, DD, particularly following cannabis use, was relatively common among emerging adults. Based on these data, clinical interventions for cannabis and other drug use should include content on prevention of DD, with particular attention to motives such as planning ahead for alternatives to get home safely and weighing benefits and risks of DD.

Little is known about motives for cannabis use among the population of adults using cannabis medically. Therefore, we evaluated the performance of the 12 factor, 36-item Comprehensive Marijuana Motives Questionnaire (CMMQ) among a sample of medical cannabis patients.Study participants were adults ages 21years or older with scheduled appointments to obtain new or renewed medical cannabis certification from clinics in one Midwestern state (n=1116). Confirmatory factor analysis was used to evaluate properties of the CMMQ. Multiple regressions were used to estimate associations between motives and cannabis use, physical health functioning, and mental health functioning.Fit indices were acceptable, and factor loadings ranged from 0.57 to 0.94. Based on regression analyses, motives accounted for 7% of the variance in recent cannabis use, and independent of cannabis use, accounted for 5% and 19% of physical and mental health functioning, respectively. Regression analyses also revealed that distinct motives were associated with cannabis use and physical and mental health functioning.Among adults seeking medical cannabis certification, the factor structure of the CMMQ was supported, and consistent with prior studies of adolescents and young adults using cannabis recreationally. Thus, individuals who use cannabis medically may have diverse reasons for use that extend beyond the management of medical symptoms. In addition, coping and sleep-related motives may be particularly salient for this population. Findings support the utility of the CMMQ in future research on medical cannabis use; however, expansion of the scale may be needed to address medical motives for use.

Sexual violence (SV) is a widespread public health problem among adolescents and emerging adults with significant short- and long-term consequences. Young people living in urban, disadvantaged communities with high rates of violence may be especially at risk for SV victimization. Understanding interconnections between different forms of violence is critical to reducing SV risk among youth. Participants were youth ( N = 599) ages 14 to 24 years ( M = 20.05, SD = 2.42) presenting to an urban emergency department with a Level 1 trauma designation as part of a prospective cohort study and followed-up for 24 months. We used logistic regression to examine the probability of reporting SV during the 24-month follow-up based on baseline reports of community and peer violence exposure, accounting for previous SV victimization, substance use, and sociodemographic characteristics. Among youth presenting to an urban emergency department, 22% of youth not seeking care for a sexual assault reported any lifetime SV (forced and/or substance-induced sexual intercourse) at baseline. During the 24-month follow-up, 12% reported SV victimization. We found high community violence exposure (odds ratio [OR] = 2.96, 95% confidence interval [CI] [1.01, 8.68]) and peer violence exposure (OR = 1.58, 95% CI [1.19, 2.08]) were associated with increased odds of reporting SV during follow-up in addition to previous SV victimization (OR = 2.71, 95% CI [1.45, 5.09]). Sex, age, parent education, and alcohol or other drug use at baseline were not associated with odds of SV during follow-up. Investigating interconnections between SV victimization and other forms of violence across socioecological levels provides an opportunity to advance SV research and identify promising avenues for prevention based on other violence prevention research. Future strategies for SV prevention that incorporate community and peer components as well as SV-specific content may help reduce SV victimization among youth living in urban, disadvantaged communities.

Background Increasing rates of cannabis use among emerging adults is a growing public health problem. Intensive longitudinal data can provide information on proximal motives for cannabis use, which can inform interventions to reduce use among emerging adults. Method As part of a larger longitudinal study, patients aged 18–25 years (N = 95) recruited from an urban Emergency Department completed daily text message assessments of risk behaviors for 28 days, including daily cannabis quantity and motives. Using a mixed effects linear regression model, we examined the relationships between daily quantity of cannabis consumed and motives (i.e., enhancement, social, conformity, coping, and expansion). Results Participants were, on average, 22.0 years old (SD = 2.2); 48.4% were male, 45.3% were African American, and 56.8% received public assistance. Results from the multi-level analysis (clustering day within individual), controlling for gender, race, and receipt of public assistance, indicated daily use of cannabis use for enhancement (β = 0.27), coping (β = 0.15), and/or social motives (β = 0.34) was significantly associated with higher quantities of daily cannabis use; whereas expansion and conformity motives were not. Conclusions Daily data show that emerging adults who use cannabis for enhancement, social, and coping motives reported using greater quantities of cannabis. Future research should examine more comprehensive cannabis motives (e.g., boredom, social anxiety, sleep) and test tailored interventions focusing on alternative cognitive/behavioral strategies to address cannabis motives.

Firearm homicide is the leading cause of violence-related youth mortality. To inform prevention efforts, we analyzed event-level data to identify unique precursors to firearm conflicts. Youth (ages:14–24) seeking Emergency Department (ED) treatment for assault or for other reasons and reporting past 6-month drug use were enrolled in a 2-year longitudinal study. Time-line follow-back substance use/aggression modules were administered at baseline and each 6-month follow-up. Violent non-partner conflicts were combined across time-points. Regression analyzed: a)antecedents of firearm-related conflicts (i.e., threats/use) as compared to non-firearm conflicts; and b)substance use on conflict (vs. non-conflict) days for those engaged in firearm conflict. During the 24-months, we found that 421-youth reported involvement in violent non-partner conflict (n = 829-conflicts;197-firearm/632-non-firearm). Among firearm conflicts, 24.9% involved aggression and 92.9% involved victimization. Retaliation was the most common motivation for firearm-aggression (51.0%), while “shot for no reason” (29.5%) and conflicts motivated by arguments over “personal belongings” (24.0%) were most common for firearm-victimization. Male sex (AOR = 5.14), Black race (AOR = 2.75), a ED visit for assault (AOR = 3.46), marijuana use before the conflict (AOR = 2.02), and conflicts motivated by retaliation (AOR = 4.57) or personal belongings (AOR = 2.28) increased the odds that a conflict involved firearms. Alcohol (AOR = 2.80), marijuana (AOR = 1.63), and prescription drugs (AOR = 4.06) had a higher association with conflict (vs. non-conflict) days among youth reporting firearm conflict. Overall, we found that firearm conflicts are differentially associated with substance use and violence motivations. Addressing substance use, interrupting the cycle of retaliatory violence, and developing conflict resolution strategies that address escalation over infringement on personal belongings may aid in decreasing and preventing adolescent firearm violence.

The study sought to describe the occurrence of adolescent driving after drinking (DD) and riding with a driver who had been drinking (RWDD) and associations with substance use for both males and females. As part of screening for a randomized controlled trial, we surveyed 16–20 year olds ( N = 3418) recruited from an emergency department (ED) and analyzed data from those reporting past-year alcohol consumption ( n = 2150, 58% females). DD was reported by 22% of females and 28% of males and RWDD was reported by 39% of females and 38% of males, also in the past year. In regression models, risky alcohol use and past-year marijuana use were associated with increased odds of DD and RWDD for females and males. Marijuana use was a strong predictor, with odds increased by 2.3 and 1.7 times for DD among females and males respectively and 1.4 times for RWDD for females and males. Prescription drug misuse was also associated with RWDD for females and for both males' and females' reported DD. The findings highlight the alarming rate of DD and RWDD among both males and females and suggest ED-based injury prevention efforts consider such risky road behavior as well as consider their substance use. Future research might also further examine the effects of driving under influence of substances, particularly marijuana, and the negative synergistic effects of co-ingestion prior to driving.

Aims This paper examined longitudinal marijuana use trajectories among drug-using youth presenting to the ED to inform intervention development. Methods Given interest in substance use and violence, this study oversampled those presenting with assault injuries. Assault-injured youth (ages 14–24) endorsing past 6-month drug use (n = 349), and a sex and age proportionally-sampled comparison group (n = 250) endorsing drug use, completed a baseline assessment and follow-ups at 6, 12, 18, and 24 months. Latent class trajectory analyses examined days of marijuana use over 2 years. Multinomial regression analyses examined baseline, 12-month and 24-month factors associated with substance use trajectory groups. Results Trajectory analyses identified 5 groups: Low (Low; 28.2%; n = 169); Intermittent (INT; 16.2%; n = 97); Moderate Decline (MD; 12.0%; n = 72); High decline (HD, 13.2%; n = 79) and Chronic (C; 30.4%; n = 182). At baseline, as compared to the Low group, the other trajectory groups were more likely to be male and have greater levels of physical aggression. At 12- and 24-months, negative and positive peer influences, incarceration and community violence were additional characteristics associated with the greater marijuana use trajectories (as compared to the Low group). Conclusions Interventions for drug-using youth presenting to the urban ED should address peer influences, physical aggression and community violence exposure, given the association between these characteristics and greater marijuana use trajectories.

Purpose The National Guard provides critical support both domestically and abroad with soldiers dispersed throughout America and spanning the urban-rural continuum. To determine if location-specific interventions may be needed, we compared the prevalence and severity of cannabis and alcohol use among National Guard members across localities. Methods Michigan National Guard members were enrolled (N = 2,746) during drill weekends as part of a larger randomized behavioral trial. Cannabis (ASSIST; prevalence = 5%) and alcohol use (AUDIT; prevalence = 82%) were compared using hurdle regression models across locality status after adjusting for covariates. Findings Prevalence of cannabis and alcohol use was predicted by locality (adjusted odds ratio [AOR] = 0.913, 95% CI: 0.838-0.986, P = .029; AOR = 0.963, 95% CI: 0.929-0.998, P = .038, respectively), with more use in urban localities. Neither severity of cannabis nor alcohol use was predicted by locality status. Conclusions Prevalence of cannabis and alcohol use in the National Guard is differentially elevated across localities with higher prevalence in more central, densely populated areas. Findings may inform future work considering accessibility and utilization of prevention and treatment services for Guard members across the urban-rural continuum.

Introduction Rural-urban differences in cigarette and cannabis use have traditionally shown higher levels of cigarette smoking in rural areas and of cannabis use in urban areas. To assess for changes in this pattern of use, we examined trends and prevalence of cigarette, cannabis, and co-use across urban-rural localities. Methods Urban-rural trends in current cigarette and/or cannabis use was evaluated using 11 cohorts (2007–2017) of the National Survey on Drug Use and Health (NSDUH; N = 397,542). We used logistic regressions to model cigarette and cannabis use over time, adjusting for demographics (age, gender, race/ethnicity, income, education), in addition to assessing patterns of cannabis use among cigarette smokers and nonsmokers. Results Despite decreases in cigarette smoking overall, between 2007 and 2017, the urban-rural disparity in cigarette smoking increased (AOR = 1.17), with less reduction in rural as compared to urban cigarette smokers. Cannabis use increased in general (AOR = 1.88 by 2017), with greater odds in urban than rural regions. Cannabis use increased more rapidly in non-cigarette smokers than smokers (AOR = 1.37 by 2017), with 219% greater odds of cannabis use in rural non-cigarette smokers in 2017 versus 2007. Conclusions Rurality remains an important risk factor for cigarette smoking in adults and the fastest-growing group of cannabis users is rural non-cigarette smokers; however, cannabis use is currently still more prevalent in urban areas. Improved reach and access to empirically-supported prevention and treatment, especially in rural areas, along with dissemination and enforcement of policy-level regulations, may mitigate disparities in cigarette use and slow the increase in rural cannabis use.

There has been a rapid increase in the development of technological innovations to reduce the escalation and impact of alcohol problems among adolescents and adults. Technology-based interventions offer the possibility of reaching individuals who otherwise might not seek treatment, (e.g., those in remote areas, those not perceiving a need for treatment, or others who may resist treatment). This article describes four case examples of technology-based interventions for risky drinking: 1) a freely available and interactive website that provides individualized feedback and information on risky drinking patterns; 2) a brief intervention for adolescents that provides individualized feedback to teens regarding their alcohol use; 3) a computer-delivered screening and brief intervention for alcohol use among pregnant women, and 4) a simulation program for training social workers in screening and brief intervention. These case examples highlight how technology may have a role in addressing the Alcohol Misuse Grand Challenge.

Background: The psychosocial correlates and longitudinal trajectories of driving after drinking (DAD) among youth remain understudied in at-risk populations. Objectives: We investigated the relationships of DAD trajectories and negative peer and parental influences, substance use, and mental health among predominantly marijuana-using youth seeking emergency department (ED) treatment. Methods: Data were from a 2-year prospective cohort study of drug-using patients (97.4% used marijuana) ages 14-24 seeking ED care for assault injury, or as part of a non-assaulted comparison group. Validated surveys measured DAD behaviors and correlates at baseline, 6, 12, 18, and 24 months. Latent class growth analysis identified characteristic DAD trajectory groups; baseline predictors were analyzed descriptively and using multinomial logistic regression. Results: Three DAD trajectory groups were identified among driving-age youth (n = 580): no DAD (NDAD; 55.2%), low-steady (LDAD; 29.0%), and high-declining (HDAD; 15.9%). In unadjusted analyses, HDAD youth were older, but otherwise similar to other groups demographically. Compared to NDAD, LDAD and HDAD group members had higher rates of drug and alcohol use disorders (p < .001). Further, HDAD group members had higher rates of anxiety symptoms and were more likely to be diagnosed with PTSD or depression than NDAD or LDAD youth (p < .05). Negative peer and parent influences were significantly higher in progressively more severe trajectory groups (p < .01). Adjusted effects from the multinomial model were analogous for peer and parental influences and substance use disorders, but not mental health. Conclusion: DAD is strongly associated with negative social influences and substance use disorders among marijuana-using youth, reinforcing their importance when developing interventions.

Objective Interpersonal violence is a significant public health problem, with substance use a key risk factor. Intensive longitudinal methods (ILMs) provide data on daily patterns/relationships between substance use and violence, informing prevention. Prior daily research has not focused on these relationships among urban minority samples. Methods Within an RCT comparing ILM assessment/schedule methods, 162-participants completed daily IVR (n = 81) or SMS (n = 81) assessments measuring 19 substance use and violence (partner/non-partner) behaviors daily for 90-days. GLMMs characterized between- and within-person predictors of daily violence. Results Participants [48.7%-female; age = 24.4; 62.3%-African-American; 66.7%-public assistance] completed an average of 46.5 daily reports [SD = 26.7]. Across 90-days, alcohol was characterized by episodic weekend use (average = 10 days-of-use, 34.4% drinking-days involved binge-drinking), while marijuana use was continuous (average = 27 days-of-use; 1.7 times/day), with no weekend differences. Among 118-violent conflicts, 52.5% occurred on weekends; 57.6% were with non-partners/peers; 61.0% involved perpetration/57.6% victimization; and 52.5% involved severe violence. For violence conflicts, 27.1% were preceded by alcohol/22.9% preceded by drug use. Between-person predictors of daily violence included retaliatory attitudes (AOR = 3.2) and anxiety (AOR = 1.1). Within-person predictors included weekends (AOR = 1.6), binge drinking (AOR = 1.9), non-medical prescription opioid use (AOR = 3.5) and illicit drug use (AOR = 8.1). Conclusion Among a high-risk urban minority sample, we found that higher baseline retaliatory attitudes and anxiety, as well as same-day binge drinking, non-medical prescription opioid use, and illicit drug use were associated with daily violence, likely reflecting both pharmacological and socio-contextual factors. Addressing substance use and retaliatory violence with tailored prevention efforts may aid in decreasing negative interpersonal violence outcomes.

Firearm violence is a leading cause of death for urban adolescents and young adults (A/YAs). Little is known about patterns of risky firearm behaviors (RFBs) that may increase firearm-related fatality and non-fatal injury risk. To inform prevention efforts, we examined the rates and correlates of RFBs, including firearm carriage in risky situations (e.g., while drunk/high), discharge in risky situations (e.g., fleeing police), and firearm aggression (e.g., firearm threats/use against a partner/non-partner), among a sample of A/YAs (age-16-29) seeking medical or injury related care (7/2017–6/2018) at a Level-1 urban Emergency Department (ED). In total, 1312 A/YAs completed the survey (mean-age 23.2; 29.6%-male; 50.5%-Black; 56.3%-public assistance), with 102 (7.8%) engaging in RFBs. Among those engaging in RFBs, 42% reported firearm ownership, 68.6% firearm carriage in high-risk situations, 39.2% firearm discharge in risky situations, and 41.2% reported partner/non-partner firearm aggression. Regression identified RFBs correlates, including older age (AOR = 1.09), male sex (AOR = 1.63), Black race/ethnicity (AOR = 2.01), substance misuse (AOR = 2.75), attitudes favoring firearm use/retaliation (AOR = 1.38), peer firearm ownership/carriage (AOR = 3.26), higher levels of community violence exposure (AOR = 1.05), and active parole/probation (AOR 2.38). Higher coping skills were protective for RFBs (AOR = 0.83). Overall, we found that A/YAs seeking urban ED treatment reported elevated RFB rates, emphasizing the need for novel prevention initiatives, especially those incorporating tailored content addressing substance use, retaliatory violence, and peer delinquency/norms, while enhancing self-efficacy for avoiding RFBs and providing access to external resources within a resiliency-based framework. Such prevention approaches may be a critical step towards addressing the public health problem of firearm violence. Primary Funding Sources: NIH/NIDA K23DA039341; NIH/NCATS UL1TR000433.

Importance Firearm injuries are the second leading cause of death among US children and adolescents. Because of the lack of resources allocated to firearm injury prevention during the past 25 years, research has lagged behind other areas of injury prevention. Identifying timely and important research questions regarding firearm injury prevention is a critical step for reducing pediatric mortality. Objective The Firearm Safety Among Children and Teens (FACTS) Consortium, a National Institute for Child Health and Human Development–funded group of scientists and stakeholders, was formed in 2017 to develop research resources for the field, including a pediatric-specific research agenda for firearm injury prevention to assist future researchers and funders, as well as to inform cross-disciplinary evidence-based research on this critical injury prevention topic. Evidence Review A nominal group technique process was used, including 4 key steps (idea generation, round-robin, clarification, and voting and consensus). During idea generation, stakeholders and workgroups generated initial research agenda topics after conducting scoping reviews of the literature to identify existing gaps in knowledge. Agenda topics were refined through 6 rounds of discussion and survey feedback (ie, round-robin, and clarification steps). Final voting (using a 5-point Likert scale) was conducted to achieve consensus (≥70% of consortium ranking items at 4 or 5 priority for inclusion) around key research priorities for the next 5 years of research in this field. Final agenda questions were reviewed by both the stakeholder group and an external panel of research experts not affiliated with the FACTS Consortium. Feedback was integrated and the final set of agenda items was ratified by the entire FACTS Consortium. Findings Overall, 26 priority agenda items with examples of specific research questions were identified across 5 major thematic areas, including epidemiology and risk and protective factors, primary prevention, secondary prevention and sequelae, cross-cutting prevention factors, policy, and data enhancement. Conclusions and Relevance These priority agenda items, when taken together, define a comprehensive pediatric-specific firearm injury prevention research agenda that will guide research resource allocation within this field during the next 5 years.

OBJECTIVE: This study describes the prevalence of eating disorders among adult patients who present to the emergency department for medical care and examines the relationship between eating disorders, depression, and substance use disorders. METHOD: Emergency department patients aged 21–65 years (n = 1,795) completed a computerized questionnaire that included validated screening tools for eating disorders, risky drinking behavior, other substance use, and depression. Analyses were conducted comparing individuals who screened positive for an eating disorder with those who did not based on demographics (gender, age, race, income, education), body mass index (BMI), risky drinking behavior, other substance use, and depression. RESULTS: Nearly 16% (15.9%) of all patients screened positive for an eating disorder regardless of their reason for presenting to the emergency department. Patients who screened positive for an eating disorder were significantly more likely to have a BMI > 30 (odds ratio [OR] = 2.68, confidence interval [CI] = 1.98, 3.62, p < .001), to also screen positive for depression (OR = 3.19, CI = 2.28, 4.47, p < .001) and to be female (OR = 2.37, CI = 1.76, 3.19, p < .001). No differences in the prevalence of positive screens for eating disorders were seen across age or racial groups, level of education or income, or for any of the included substance use variables. DISCUSSION: Eating disorders are common among adult emergency department patients and are associated with high rates of comorbid depression and higher BMI. Given the significant morbidity and mortality associated with eating disorders, targeted screening may be warranted in the emergency department setting.

Objective This study examined the association between baseline substance use and mental health, and non-partner violence trajectories among youth presenting to an urban emergency department who screened positive for drug use. Non-partner violence is physically violent victimization or aggression involving someone other than a dating partner. Methods Group-based trajectory modeling was used to identify longitudinal trajectories of non-partner violence in N = 599 youth (14–24 years old) at baseline, 6, 12, 18 and 24 month follow-ups. Multinomial logistic regression analyses were used to examine associations between baseline substance use and mental health conditions (i.e., anxiety, depression, and post-traumatic stress disorder [PTSD]), and non-partner violence trajectories. Results Six trajectory groups were identified for non-partner violence. Binge drinking and cannabis, illicit drug, nonmedical prescription stimulant, and polysubstance use in the 30 days leading up to their initial ED visit were associated with the likelihood of medium to high non-partner violence group membership during the two years following their ED visit. Post-traumatic stress disorder (PTSD) and depression/anxiety at baseline were also associated with greater risk of belonging to medium to high non-partner violence trajectory groups. Conclusions Our findings highlight distinct trajectories of violent behavior, with roughly 60 % of young adults belonging to one of the non-partner violence groups. Although general trajectory trends were of decreasing violent behavior, the constellation of baseline risk factors differentially predicted group membership. These findings indicate that violence does not operate in a vacuum; interventions to reduce violence should also address previous trauma, substance use, and mental health issues.

Purpose: Overdose from alcohol and/or drugs kills tens of thousands of Americans annually, with a large number of deaths attributed to opioid pain medications. Addiction treatment patients are known to be at high risk for overdose; however, the relationship between pain and overdose history within this group is understudied, especially in relation to alcohol overdoses. In the present study, we evaluated whether nonfatal overdose history was more likely among addiction treatment patients with pain, and examined the characteristics of overdoses among those with and without pain. Methods: We analyzed cross-sectional data from 739 patients at a large residential addiction treatment center (median age 37, 25.7% female). We used 2-stepped binary regression models to evaluate whether demographics, pain type (chronic, acute, or both), depression symptoms, and opioid misuse were associated with lifetime history of nonfatal (1) alcohol and (2) drug overdose (lifetime yes/no), and conducted follow-up analyses examining overdose characteristics. Results: In adjusted analyses, history of chronic pain (odds ratio [OR] 2.60, 95% confidence interval [CI] 1.59, 4.27) and illicit drug use (OR 1.99, 95% CI 1.07, 3.68) were associated with an increased likelihood of nonfatal alcohol overdose. Opioid misuse (OR 3.11, 95% CI 2.51, 3.86), depression symptoms (OR 1.33, 95% CI 1.14, 1.55), and younger age (OR 0.96, 95% CI 0.94, 0.97) were associated with increased likelihood of drug overdose. Those with pain reported a higher number of lifetime alcohol overdoses and were more likely to combine numerous drugs with alcohol before overdose. Conclusions: Pain conditions may play an under-recognized role in the overdose epidemic, particularly alcohol-related overdose. Addiction treatment and overdose prevention interventions should incorporate appropriate assessment and treatment of pain including education about the risks of polysubstance use, particularly combining alcohol with sedatives and prescription pain relievers.

Background The distinction between within- and between-person associations with drug use disorder (DUD) has implications for intervention targets and content. We used longitudinal data from youth entering an urban emergency department (ED) to identify factors related to changes in DUD diagnosis, with particular emphasis on alcohol use. Methods Research staff recruited youth age 14–24 (n = 599) reporting any past six-month drug use from a Level-1 ED; participants were assessed at baseline and four biannual follow-ups. Participants self-reported validated measurements of peer/parental behaviors, violence/crime exposure, drug use self-efficacy, and alcohol use. Research staff performed diagnostic interviews for DUD with nine substances, post-traumatic stress disorder (PTSD), and major depressive disorder (MDD). We used repeated measures logistic regression models with person-level covariate means, and person-mean-centered covariates, as separate variables, to separate within- and between-person covariate effects. Results Among 2,630 assessments, 1,128 (42.9 %) were DUD diagnoses; 21.7 % were co-diagnoses with multiple drugs. Positive (aOR = 0.81, 95 %CI:[0.70, 0.94]) and negative (aOR = 1.73, 95 %CI:[1.45, 2.07]) peer behaviors related to DUD, primarily through between-person effects. Parental support (aOR = 0.92, 95 %CI:[0.83, 0.99]), community violence/crime (aOR = 1.28, 95 %CI:[1.14, 1.44]), PTSD/MDD diagnosis (aOR = 1.36, 95 %CI:[1.04, 1.79]), and alcohol use quantity (aOR = 1.06, 95 %CI:[1.02, 1.11]) were associated with DUD, showing primarily within-person effects. Other factors, such as interpersonal violence involvement (aOR = 1.47, 95 %CI:[1.21, 1.78]), showed both within- and between-person effects. Conclusions DUD is prevalent in this population, and within-person changes in DUD are predictable. Within-person effects suggest the importance of addressing escalating alcohol use, enhancing parental support, crime/violence exposure, and other mental health diagnoses as part of DUD intervention.

Purpose There are few efficacious prevention interventions for emerging adults (ages 18–25) drug use and concomitant risks (e.g., sexual risk behaviors). We developed and evaluated the feasibility and acceptability of an Emergency Department (ED)-initiated brief intervention (BI) combined with booster messaging as a clinician-extender primarily focusing on drug use, with a secondary focus on condomless sex. We examined descriptive outcomes of alcohol, drug use, and condomless sex. Procedures We recruited N = 63 emerging adults who used drugs (primarily cannabis) from an ED (72.4 % participation rate). Their mean age was 21.7 years (SD = 2.3); 67 % were female and 52.4 % were Black/African American. Participants randomized to the intervention (N = 31) received a BI and 28 days of tailored booster messaging (based on drug use motives) daily, and the control condition received a community resource brochure. A post-test occurred at 1-month with a follow-up at 2-months. Results The intervention was well-received (83.9 % allocated completed the BI) with 79 % overall liking the BI and 71 % finding it helpful to discuss substances. Mean ratings of booster messages were > 4.0 (5-point scale); 77 % liked the daily messages and 91 % found them helpful. Descriptively, the intervention group evidenced absolute reductions over time on alcohol outcomes, cannabis use, and condomless sex. Conclusions This BI with booster messages was feasible and acceptable in the target population of emerging adults who use drugs (i.e., mostly cannabis). This intervention model, initiated during a healthcare visit and accompanied by a clinician-extender, should be tested in a future fully-powered trial.

Purpose To evaluate acceptability and feasibility of a theoretically based two-part (brief in-person + 8-week automated text message) depression prevention program, "intervention for DepressiOn and Violence prevention in the Emergency department" (iDOVE), for high-risk adolescents. Methods English-speaking emergency department (ED) patients (age 13–17, any chief complaint) were sequentially approached for consent on a convenience sample of shifts and screened for inclusion based on current depressive symptoms and past-year violence. After consent, baseline assessments were obtained; all participants were enrolled in the two-part intervention (brief in-ED + 8-week two-way text messaging). At 8 weeks, quantitative and qualitative follow-up assessments were obtained. Measures included feasibility, acceptability, and preliminary data on efficacy. Qualitative data were transcribed verbatim, double coded, and interpreted using thematic analysis. Quantitative results were analyzed descriptively and with paired t tests. Results As planned, 16 participants (eight each gender) were recruited (75% of those who were eligible; 66% nonwhite, 63% low income, mean age 15.4). The intervention had high feasibility and acceptability: 93.8% completed 8-week follow-up; 80% of daily text messages received responses; 31% of participants requested ≥1 "on-demand" text message. In-person and text message portions were rated as good/excellent by 87%. Qualitatively, participants articulated: (1) iDOVE was welcome and helpful, if unexpected in the ED; (2) the daily text message mood assessment was "most important"; (3) content was "uplifting"; and (4) balancing intervention "relatability" and automation was challenging. Participants' mean ΔBDI-2 (Beck Depression Inventory) from baseline to 8-week follow-up was −4.9, ( p = .02). Conclusions This automated preventive text message intervention is acceptable and feasible. Qualitative data emphasize the importance of creating positive, relevant, and interactive digital health tools for adolescents.

BACKGROUND Violent injury is the leading cause of death among urban youth. Emergency department (ED) visits represent an opportunity to deliver a brief intervention (BI) to reduce violence among youth seeking medical care in high-risk communities. OBJECTIVE The objective was to determine the efficacy of a universally applied BI addressing violence behaviors among youth presenting to an urban ED. METHODS ED youth (14 to 20 years old) seeking medical or injury-related care in a Level I ED (October 2011-March 2015) and screening positive for a home address within the intervention or comparison neighborhood of a larger youth violence project were enrolled in this quasi-experimental study. Based on home address, participants were assigned to receive either the 30-minute therapist-delivered BI (Project Sync) or a resource brochure (enhanced usual care [EUC] condition). The Project Sync BI combined motivational interviewing and cognitive skills training, including a review of participant goals, tailored feedback, decisional balance exercises, role-playing exercises, and linkage to community resources. Participants completed validated survey measures at baseline and a 2-month follow-up assessment. Main outcome measures included self-report of physical victimization, aggression, and self-efficacy to avoid fighting. Poisson and zero-inflated Poisson regression analyses analyzed the effects of the BI, compared to the EUC condition, on primary outcomes. RESULTS A total of 409 eligible youth (82% participation) were enrolled and assigned to receive either the BI (n = 263) or the EUC condition (n = 146). Two-month follow-up was 91% (n = 373). There were no significant baseline differences between study conditions. Among the entire sample, mean (±SD) age was 17.7 (±1.9) years, 60% were female, 93% were African American, and 79% reported receipt of public assistance. Of participants, 9% presented for a violent injury, 9% reported recent firearm carriage, 20% reported recent alcohol use, and 39% reported recent marijuana use. Compared with the EUC group, participants in the therapist BI group showed self-reported reductions in frequency of violent aggression (therapist, -46.8%; EUC, -36.9%; incident rate ratio [IRR] = 0.87; 95% confidence interval [CI] = 0.76 to 0.99) and increased self-efficacy for avoiding fighting (therapist, +7.2%; EUC, -1.3%; IRR = 1.09; 95% CI = 1.02 to 1.15). No significant changes were noted for victimization. CONCLUSIONS Among youth seeking ED care in a high-risk community, a brief, universally applied BI shows promise in increased self-efficacy for avoiding fighting and a decrease in the frequency of violent aggression.