62 research outputs found

    Social skills training for juvenile delinquents:Post-treatment changes

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    Objectives To examine the post-treatment effectiveness of an outpatient, individual social skills training for juvenile delinquents in the Netherlands and to conduct moderator tests for age, gender, ethnicity, and risk of reoffending. Methods The sample consisted of juveniles who received Tools4U, a social skills training with a parental component, as a penal sanction (N = 115). Propensity score matching was used to select a control group of juveniles receiving treatment as usual (TAU) of n = 108 juveniles (of a total of N = 354). Assessment of impulsivity, social perspective-taking, social problem-solving, critical reasoning, developmental task-related skills, and treatment integrity took place before and immediately after the treatment. Results Treatment integrity was found to be sufficient, so that treatment effects could be attributed to the Tools4U training. Tools4U was more effective than TAU in reducing impulsivity, cognitive distortions (self-centering and assuming the worst), and social perspective-taking deficits (hostile intent attribution). No treatment effects were found on adolescents’ social problem-solving skills, and only caretakers of girls showed improvement in parenting skills. Effects on developmental task-related skills were not in the expected direction: after Tools4U, juveniles reported significantly less social acceptance and self-worth than juveniles receiving TAU. Conclusions Tools4U showed generally small effects and no effects on protective factors, which might limit the long-term treatment effects on delinquency. Treatment effects may be improved by implementing additional techniques and improving the parental component for boys in particular

    An Overview of Computational Approaches for Interpretation Analysis

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    It is said that beauty is in the eye of the beholder. But how exactly can we characterize such discrepancies in interpretation? For example, are there any specific features of an image that makes person A regard an image as beautiful while person B finds the same image displeasing? Such questions ultimately aim at explaining our individual ways of interpretation, an intention that has been of fundamental importance to the social sciences from the beginning. More recently, advances in computer science brought up two related questions: First, can computational tools be adopted for analyzing ways of interpretation? Second, what if the "beholder" is a computer model, i.e., how can we explain a computer model's point of view? Numerous efforts have been made regarding both of these points, while many existing approaches focus on particular aspects and are still rather separate. With this paper, in order to connect these approaches we introduce a theoretical framework for analyzing interpretation, which is applicable to interpretation of both human beings and computer models. We give an overview of relevant computational approaches from various fields, and discuss the most common and promising application areas. The focus of this paper lies on interpretation of text and image data, while many of the presented approaches are applicable to other types of data as well.Comment: Preprint submitted to Digital Signal Processin

    BEATVIC, a body-oriented resilience training with elements of kickboxing for individuals with a psychotic disorder:study protocol of a multi-center RCT

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    Background: Individuals with a psychotic disorder are at an increased risk of becoming victim of a crime or other forms of aggression. Research has revealed several possible risk factors (e.g. impaired social cognition, aggression regulation problems, assertiveness, self-stigma, self-esteem) for victimization in patients with a psychotic disorder. To address these risk factors and prevent victimization, we developed a body-oriented resilience training with elements of kickboxing: BEATVIC. The present study aims to evaluate the effectiveness of the intervention. Methods/Design: Seven mental health institutions in the Netherlands will participate in this study. Participants will be randomly assigned to either the BEATVIC training or the control condition: social activation. Follow-ups are at 6, 18 and 30 months. Short term effects on risk factors for victimization will be examined, since these are direct targets of the intervention and are thought to be mediators of victimization, the primary outcome of the intervention. The effect on victimization will be investigated at follow-up. In a subgroup of patients, fMRI scans will be made before and after the intervention period in order to assess potential neural changes associated with the effects of the training. Discussion: This study is the first to examine the effectiveness of an intervention targeted at victimization in psychosis. Methodological issues of the study are addressed in the discussion of this paper

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    Neural changes following a body-oriented resilience therapy with elements of kickboxing for individuals with a psychotic disorder:a randomized controlled trial

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    Individuals with a psychotic disorder are at an increased risk of becoming the victim of a crime. A body-oriented resilience therapy (BEATVIC) aimed at preventing victimization by addressing putatively underlying factors was developed. One of these factors is social cognition, particularly facial affect processing. The current study investigated neural effects of BEATVIC on facial affect processing using two face processing tasks. Participants were randomized to either BEATVIC or a 'Befriending' control group. Twenty-seven patients completed an Emotional Faces task and the Wall of Faces task during fMRI, pre- and post-intervention. General linear model analyses yielded no differences between groups over time. Independent component analyses revealed increased activation of the salience network to angry and fearful faces in BEATVIC compared to Befriending. Increased activation of the salience network may suggest an increased alertness for potentially dangerous faces
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