ABSTRACT
Purpose: This study compared Cognitive-Behavioral Therapy (CBT), Mindfulness-Based Cognitive Therapy (MBCT), and Activity-based Supportive Counselling (treatment-as-usual;TAU) for reducing delinquency, psychological risk factors, mental health symptoms, and improving the quality of life among at-risk youths in Hong Kong outreaching social services. Methods: In this quasi-experimental study, non-custodial youths with delinquency and mental health issues underwent eight sessions of CBT (n = 24), MBCT (n = 30), or TAU (n = 61). Results: Dependent-sample t-test showed CBT reduced mental health symptoms and delinquency. TAU reduced mental health symptoms and improved quality of life. MBCT resulted in no significant change. Time x group ANCOVA underscored TAU in improving quality of life. Hierarchical linear regression showed decreases in delinquency and mental health symptoms mediated by decreases in psychological risk factors. Discussion: Results suggest that outreaching social service agencies in Hong Kong could enhance their intervention by augmenting the sports and leisure activities of TAU with structured CBT programs.
ABSTRACT
Despite the widespread prevalence of mental health problems, most psychological distress remains untreated. Internet-based psychological interventions can be an essential tool for increasing treatment availability and accessibility. The main objective of the MindBlooming project is to design and implement an innovative Internet-based multi-approach treatment for university students suffering from psychological or physical problems. The intervention will focus on symptoms of depression, anxiety, sleep problems, self-destructive thoughts, job- and study-related stress and burnout, and chronic pain. It will be based on different approaches, primarily psychoeducation, Cognitive-Behavioral Treatment (CBT), and third-wave CBT. At the end of the treatment, user satisfaction and usability will be assessed. In addition, two further aims will be evaluating the treatment efficacy through a randomized controlled trial and tuning a predictive model through Machine Learning techniques. The intervention consists of a 7-week treatment on two problematic areas according to each students' personal needs, identified through an initial assessment. Besides the treatment assigned following the initial screening, participants will also be assigned to a different module to improve their relational skills. The treatment, which can be accessed through a mobile app, consists of psychoeducational videos followed by related exercises. We expect MindBlooming to be a remarkable tool for promoting the mental health of university students.