Collaboration Between Community Mental Health and Juvenile Justice Systems: Barriers and Facilitators

Recent studies have confirmed a high prevalence of youth with diagnosable mental health disorders within the juvenile justice system, as well as the vulnerability of youth in the mental health system who enter the juvenile justice system. This high prevalence of dual system involvement has spawned challenges of collaboration between the mental health and juvenile justice systems to provide needed services to youth and their families. Seventy-two in-depth interviews were conducted with 18 youth and their parents/guardians, mental health professionals from five different community mental health centers, and juvenile justice professionals in urban and rural communities in a Midwest state in the United States. Professionals, youth and parents identified several important factors that facilitated collaboration, as well as a myriad of barriers that needed to be overcome. Findings suggest ways to improve partnerships between the two systems and the development of supportive policies and procedures.     

Examining Gender Differences for Gambling Engagement and Gambling Problems Among Emerging Adults

Gambling is fast becoming a public health problem in the United States, especially among emerging adults (18–25 year olds). Since 1995, rates have recently doubled with around 7–11 % of the emerging adult population having problems with gambling (Shaffer et al. in Am J Public Health 89(9):1369–1376, 1999; Cyders and Smith in Pers Individ Diff 45(6):503–508, 2008). Some states have lowered their gambling age to 18 years old; in turn, the gambling industry has recently oriented their market to target this younger population. However, little is known about the gender variation and the factors placing emerging adults at risk for getting engaged and developing problems with gambling. The purpose of the study was to determine the risk factors accounting for gender differences at the two levels of gambling involvement: engagement and problems. Mediation analyses revealed that impulsive coping and risk-taking were significant partial mediators for gender differences on engagement in gambling. Men took more risks and had lower levels of impulsive coping than women, and those who took more risks and had lower levels of impulsive coping were more likely to engage in gambling. Risk-taking and social anxiety were the significant mediators for gender differences in problems with gambling. Men took more risks and were more socially anxious than women, and greater risk-taking and more socially anxious individuals tended to have more problems with gambling. Implications for counseling preventions and intervention strategies are discussed.     

Transdiagnostic mechanism of social phobia and depression: The role of anger dysregulation

ABSTRACT

Emotion dysregulation has been identified as a transdiagnostic mechanism underlying social phobia and depression; however, there is much to learn about how emotion dysregulation leads to these specific outcomes. Thus, this study examined the relationship pattern between anger dysregulation and depression and how it is mediated by social phobia. Anger dysregulation was examined specifically considering anger as a significant emotional feature of both social phobia and depression. The mediation hypothesis within this study was empirically established. The data was drawn from the Collaborative Psychiatric Epidemiology Surveys (2001–2003), in which 2,827 participants met DSM-IV criteria for lifetime major depressive disorder (14.3%), and 1,905 participants met criteria for DSM-IV lifetime social anxiety disorder (9.6%). Among participants, 4,250 (21.5%) reported that they perceived their anger as out of control and either broke items or hit (or tried to hit) others. The mediation hypothesis was tested with logistic regression models. Anger dysregulation was significantly related to social phobia and depression. A significant indirect effect of social phobia was detected through bootstrap analysis, supporting the partial mediation hypothesis. This study represents the first attempt to examine the mediating role of social phobia in the relationship between anger dysregulation and depression. The findings of this study suggest that anger dysregulation may be a transdiagnostic factor across social phobia and depression.     

Production quantity allocation for order fulfilment in the supply chain: a neural network based approach

In the current global business environment, it is very important to know how to allocate products from the producer to buyers (or distributors). If products are not appropriately distributed due to absence of an effective allocation policy, the producer and buyers cannot expect to increase customer satisfaction and financial profit. Sometimes some buyers can order more than the actual demand due to inappropriately forecasting customer orders. This is the big obstacle to the effective allocation of products. If the producer can become aware of buyers’ actual demands, it is possible to realise high-level order fulfilment through the effective allocation of products. In this study, new allocation policies are proposed considering buyers’ demands. The back propagation algorithm, one of the learning algorithms in neural network theory, is used to recognise actual demands from the previous buyers’ orders. After excluding surplus demands included in buyers’ demands, products are allocated to buyers according to one of the existing allocation policies depending on the company's decision. In the numerical examples, new allocation policies reducing buyers’ surplus demands outperform previous allocation policies with respect to average amount of backorder.     

Estimation in conditional first order autoregression with discrete support

We consider estimation in the class of first order conditional linear autoregressive models with discrete support that are routinely used to model time series of counts. Various groups of estimators proposed in the literature are discussed: moment-based estimators; regression-based estimators; and likelihood-based estimators. Some of these have been used previously and others not. In particular, we address the performance of new types of generalized method of moments estimators and propose an exact maximum likelihood procedure valid for a Poisson marginal model using backcasting. The small sample properties of all estimators are comprehensively analyzed using simulation. Three situations are considered using data generated with: a fixed autoregressive parameter and equidispersed Poisson innovations; negative binomial innovations; and, additionally, a random autoregressive coefficient. The first set of experiments indicates that bias correction methods, not hitherto used in this context to our knowledge, are some-times needed and that likelihood-based estimators, as might be expected, perform well. The second two scenarios are representative of overdispersion. Methods designed specifically for the Poisson context now perform uniformly badly, but simple, bias-corrected, Yule-Walker and least squares estimators perform well in all cases.     

Sample size calculation for clustered survival data under subunit randomization

Lifetime Data Analysis - Each cluster consists of multiple subunits from which outcome data are collected. In a subunit randomization trial, subunits are randomized into different intervention...     

Line facility location in weighted regions

In this paper, we present approximation algorithms for solving the line facility location problem in weighted regions. The weighted region setup is a more realistic model for many facility location problems that arise in practical applications. Our algorithms exploit an interesting property of the problem, that could possibly be used for solving other problems in weighted regions.     

Putting a Human Face on Crimes: A Qualitative Study on Restorative Justice Processes for Youths

Restorative justice conferences including Victim Offender Mediation (VOM) are rapidly increasing. Due to a lack of participants’ accounts on their experiences, gaining knowledge on how restorative justice works from their perspective is critical, especially to further development of justice policy and practice. In this exploratory qualitative study we interviewed 37 participants in a VOM operating in a mid-sized Midwestern city in the United States. In this article, we examine some youths’ experiences in their VOM to deepen our understanding of how and why restorative discourses work. Findings suggest that meeting their victims through VOM helped the youths realize the extent of the consequences of their actions by being able to personalize their victims and their victimized experiences. In conclusion we highlight the importance of appreciating the unseen effects of the crimes. Lastly, we make some recommendations for practitioners to assist their developing better programs in dealing with youths in restorative justice contexts.     

Life with and without disease: women experience more of both

This paper examines gender differences in life with and without six major diseases, including both mortal and morbid conditions. Disease prevalence and health behavior data are from the 1993-1995 National Health Interview Surveys for the United States. Vital registration data are the source of mortality rates used in computing life expectancy. The Sullivan method is used to estimate life lived with and without disease and risky behavior for men and women at various ages. Women live more years with each of the diseases examined, and, for arthritis, the extended years with disease are greatest. Women also live more years than men free of each of these diseases with the exception of arthritis. Gender differences in life without two health-risk behaviors are also discussed. Men spend more years of their lives overweight and have fewer years during which they see a doctor.