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There is a significant gap in research examining the prevalence of problem behaviors among youth involved in the juvenile justice system in rural areas. The current study sought to address this gap by exploring the behavioral patterns of 210 youth who were on juvenile probation in predominantly rural counties and who were identified as having a substance use disorder. First, we examined the correlation among 7 problem behaviors representing different forms of substance use, delinquency, and sexual risk-taking and 8 risk factors related to recent service utilization, internalizing and externalizing difficulties, and social support networks. Then, we used latent class analysis (LCA) to identify distinct behavioral profiles based on the observed problem behaviors. LCA identified a 3-class model representing distinct groups labeled Experimenting (70%), Polysubstance Use + Delinquent Behaviors (24%), and Diverse Delinquent Behaviors (6%). Finally, we assessed differences (i.e., ANOVA, χ2) in each risk factor across the behavioral profiles. Important similarities and differences in the association among the problem behaviors, behavioral profiles, and the risk factors were revealed. These findings underscore the need for an interconnected behavioral health model within rural juvenile justice systems that is able to address youths' multidimensional needs including criminogenic, behavioral, and physical health needs. [ABSTRACT FROM AUTHOR]

Evidence-based practices and programs (EBPs) have been adopted in juvenile probation agencies nationwide to maximize the number of successful probation cases. However, various pragmatic studies have found that JPOs are not yielding the expected benefits when compared to efficacy studies. Using focus group and survey data, the current study sought to increase our understanding of the gap between pragmatic and efficacy studies in juvenile probation settings by examining JPOs' perceptions and utilization of EBPs. The findings suggest that JPOs are misunderstanding how to use EBPs in daily practice, leaving them with negative perceptions of EBPs. Implications for improving JPO understanding and use of EBPs are discussed. [ABSTRACT FROM AUTHOR]

Prescription drug misuse (PDM) is a significant public health problem associated with mental health symptoms. This project investigates the connections between PDM motivations and mental health to inform intervention efforts. Using nationally representative adult data from the 2016–2018 National Survey on Drug Use and Health (N = 128,205; 53% female) this project investigated which motivations for misuse are related to past-year mental health problems including any mental illness, serious mental illness, major depressive episode, and suicidal thoughts. Complex samples logistic regression models of the main motivation of PDM for each mental health problem were conducted separately for each prescription drug class (i.e., opioids, tranquilizers, sedatives, and stimulants) while controlling for demographic characteristics. Adults that reported PDM were more likely than those with no PDM to endorse past year mental health problems. Compared to those that reported PDM of other medications, those misusing prescription opioids and tranquilizers to help with emotions and misusing sedatives to "relax or relieve tension" were more likely to have all categories of mental health problems. Those that misused prescription stimulants to "help study" had lower odds of all mental health problems. While there were differences based on prescription drug class, a range of motivations increased adults' likelihood to have mental health problems and common themes were found across drug classes. While causality is still undetermined, prevention and intervention efforts that are multifaceted and individualized, while broadly providing adults with other ways to cope with negative emotions are likely to help reduce PDM. [ABSTRACT FROM AUTHOR]

Given the rising rates of insufficient sleep and the popularity of marijuana, we investigated using marijuana as a sleep aid, marijuana use frequency, problematic marijuana use, and sleep problems. Participants: Participants included a convenience sample of college students who endorsed using marijuana in the past year from May to December 2013 (N = 354; 68% female, 57% White). Methods: Path analyses investigated if using marijuana to sleep predicted: (1) marijuana use outcomes and (2) sleep problems; and if sleep problems predicted marijuana use outcomes. Results: Using marijuana to sleep was related to increased use and problematic use, as well as worse sleep efficiency. Daytime dysfunction related to sleepiness was associated with elevated levels of marijuana use and problematic use. Similar associations were found across sex and race. Conclusions: College students should be informed of the potential misconceptions between marijuana and improved sleep and provided with evidence-based alternatives to improve their sleep. [ABSTRACT FROM AUTHOR]