Cognitive Behavior Therapy and Metacognitive Therapy: Moderators of Treatment Outcomes for Children with Generalized Anxiety Disorder

Comparison of Metacognitive Therapy Versus Cognitive Behavioral Therapy for Generalized Anxiety Disorder: A Meta-Analysis of Randomized Control Trials

The aim of this meta-analysis is to compare the efficacy of meta-cognitive therapy (MCT) and cognitive behavioral therapy (CBT) in patients with generalized anxiety disorder (GAD). This study is reported according to the guidelines of Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). A systematic electronic literature search was conducted on April 20, 2023, to find studies reporting on the efficacy of MCT for GAD. The search keywords included "Generalized anxiety disorders," "meta-cognitive therapy," "cognitive behavior therapy," and "randomized control trials.: The following databases were searched to find relevant articles: PubMed, PsychInfo, CINAHL, and SCOPUS. Outcomes assessed in the present meta-analysis included the change in the Penn State Worry Questionnaire (PSWQ) from baseline to completion of treatment and after two years of follow-up. The PSWQ measures the trait of worry in adults. Worry is regarded as a dominant feature of GAD. Secondary outcomes assessed in this meta-analysis included symptom severity using the Beck anxiety inventory (BAI). Change in BAI was scored from baseline to completion of treatment and after two years of follow-up. A total of three studies were included in this meta-analysis. The results show that patients treated with MCT had greater reductions in PSWQ and BAI scores post-treatment and after two years of treatment, as well as higher rates of recovery compared to those treated with CBT. These findings suggest that MCT is a promising approach for treating GAD and may have advantages over traditional CBT approaches.

Combining Dance/Movement Therapy with Cognitive Behavioral Therapy in Treatment of Children with Anxiety Disorders: Factors Explaining Therapists' Attitudes

Anxiety disorders (ADs) are among the most common psychiatric disorders and they may appear as early on as in childhood. The current study addressed the combination of two treatments approaches for ADs: Dance/movement therapy (DMT) and cognitive behavioral therapy (CBT), focusing on factors that explain the therapists' attitudes towards actually combining the two therapies. The study utilized a quantitative design, with a perceptions survey administered via an online questionnaire. Ninety-nine therapists participated in the study (DMT-only n = 35, CBT-only n = 42, and DMT + CBT, n = 22). Following preliminary analysis (comparison between the groups, correlations and factor analysis), the structural equation model (SEM, confirmatory factor analysis) revealed a good fit between the theoretical model and the empirical data. First, it was found that the reported actual use of the combined approaches (DMT + CBT) in treatment of children with ADs, was significantly explained by therapists who had experience practicing DMT but not CBT perceiving this combination as efficient. Second, the therapists' use of the combined therapy (DMT + CBT) approaches was not related to their sense of efficacy as therapists of children with ADs. The model represents concordance between the components of the therapists' attitudes: Affective—belief that it is efficient, cognitive—perception of it as effective, and behavioral—their actual use.

The Scope of Metacognitive Therapy in the Treatment of Psychiatric Disorders

Metacognitive therapy (MCT) is a novel and promising transdiagnostic psychotherapy intervention based on the Self-Regulatory Executive Function model of conceptualizing emotional disorders. It was developed by Adrian Wells in 2009. Its therapeutic response occurs by reducing dysfunctional metacognitive beliefs regarding worry and rumination, often seen in patients with psychiatric disorders. Since its inception, it has been increasingly applied to a wide spectrum of psychiatric illnesses, but mainly focusing on mood and anxiety disorders. To our knowledge, no study has detailed its existing therapeutic scope in psychiatry. In this comprehensive narrative review, we describe the various psychiatric illnesses in which MCT has been used, the advantages of MCT, and the limitations of the MCT research. In addition, we propose some solutions to systematically examine its place in psychiatry. We encountered its potential role in treating trauma and stress-related disorders, obsessive-compulsive spectrum disorders, personality disorders, psychotic disorders, substance use disorders, and sexual disorders.

Do Metacognitions of Children and Adolescents with Anxiety Disorders Change after Intensified Exposure Therapy?

Metacognitive beliefs have repeatedly proven to play a role in anxiety disorders in children and adolescents, but few studies have investigated whether they change after cognitive behavioral therapy. This longitudinal intervention study explores whether positive and negative metacognitive beliefs in particular change after exposure-focused treatment, and if metacognitive changes predict reductions in anxiety symptoms. A sample of 27 children between 8 and 16 years of age with a primary diagnosis of specific phobia, separation-anxiety disorder or social phobia completed assessments of anxiety symptoms, metacognitive beliefs, worry and repetitive negative thoughts before and after 11 sessions of intensified exposure treatment. Metacognitive beliefs did not change significantly after intensified exposure, but post-hoc power analysis revealed a lack of power here. Change in negative metacognitive beliefs correlated with a change in anxiety symptoms, but did not independently contribute as a predictor variable. Differences between subsamples showed that patients with separation-anxiety disorder scored higher on negative metacognitive beliefs than those with specific or social phobia. Consideration of metacognition, and negative metacognitive beliefs in particular could help us further improve the understanding and treatment of anxiety disorders in children and adolescents and should therefore receive more attention in psychotherapy research.

Moderators of Outcome for Youth Anxiety Treatments: Current Findings and Future Directions

Objective: To improve outcomes and create more personalized interventions, the field has sought to identify moderators of treatment response (variables that specify which treatments work for whom and under what conditions).Method: The current review examines moderators of youth anxiety treatments.Results: The majority of studies to date have examined variables of convenience, including demographics (age, sex, race, ethnicity, socioeconomic status), pretreatment youth clinical characteristics (anxiety severity, principal diagnosis, comorbidity) and pretreatment parent variables (parent psychopathology, parenting). Findings indicate few consistent moderators.Conclusions: Future directions are discussed, including (a) group to individual generalizability, (b) power considerations, and (c) updates to study design and measure selection.

Right care, first time: a highly personalised and measurement-based care model to manage youth mental health

Mood and psychotic syndromes most often emerge during adolescence and young adulthood, a period characterised by major physical and social change. Consequently, the effects of adolescent-onset mood and psychotic syndromes can have long term consequences. A key clinical challenge for youth mental health is to develop and test new systems that align with current evidence for comorbid presentations and underlying neurobiology, and are useful for predicting outcomes and guiding decisions regarding the provision of appropriate and effective care. Our highly personalised and measurement-based care model includes three core concepts: ▶ A multidimensional assessment and outcomes framework that includes: social and occupational function; self-harm, suicidal thoughts and behaviour; alcohol or other substance misuse; physical health; and illness trajectory. ▶ Clinical stage. ▶ Three common illness subtypes (psychosis, anxious depression, bipolar spectrum) based on proposed pathophysiological mechanisms (neurodevelopmental, hyperarousal, circadian). The model explicitly aims to prevent progression to more complex and severe forms of illness and is better aligned to contemporary models of the patterns of emergence of psychopathology. Inherent within this highly personalised approach is the incorporation of other evidence-based processes, including real-time measurement-based care as well as utilisation of multidisciplinary teams of health professionals. Data-driven local system modelling and personalised health information technologies provide crucial infrastructure support to these processes for better access to, and higher quality, mental health care for young people. CHAPTER 1: MULTIDIMENSIONAL OUTCOMES IN YOUTH MENTAL HEALTH CARE: WHAT MATTERS AND WHY?: Mood and psychotic syndromes present one of the most serious public health challenges that we face in the 21st century. Factors including prevalence, age of onset, and chronicity contribute to substantial burden and secondary risks such as alcohol or other substance misuse. Mood and psychotic syndromes most often emerge during adolescence and young adulthood, a period characterised by major physical and social change; thus, effects can have long term consequences. We propose five key domains which make up a multidimensional outcomes framework that aims to address the specific needs of young people presenting to health services with emerging mental illness. These include social and occupational function; self-harm, suicidal thoughts and behaviours; alcohol or other substance misuse; physical health; and illness type, stage and trajectory. Impairment and concurrent morbidity are well established in young people by the time they present for mental health care. Despite this, services and health professionals tend to focus on only one aspect of the presentation - illness type, stage and trajectory - and are often at odds with the preferences of young people and their families. There is a need to address the disconnect between mental health, physical health and social services and interventions, to ensure that youth mental health care focuses on the outcomes that matter to young people. CHAPTER 2: COMBINING CLINICAL STAGE AND PATHOPHYSIOLOGICAL MECHANISMS TO UNDERSTAND ILLNESS TRAJECTORIES IN YOUNG PEOPLE WITH EMERGING MOOD AND PSYCHOTIC SYNDROMES: Traditional diagnostic classification systems for mental disorders map poorly onto the early stages of illness experienced by young people, and purport categorical distinctions that are not readily supported by research into genetic, environmental and neurobiological risk factors. Consequently, a key clinical challenge in youth mental health is to develop and test new classification systems that align with current evidence on comorbid presentations, are consistent with current understanding of underlying neurobiology, and provide utility for predicting outcomes and guiding decisions regarding the provision of appropriate and effective care. This chapter outlines a transdiagnostic framework for classifying common adolescent-onset mood and psychotic syndromes, combining two independent but complementary dimensions: clinical staging, and three proposed pathophysiological mechanisms. Clinical staging reflects the progression of mental disorders and is in line with the concept used in general medicine, where more advanced stages are associated with a poorer prognosis and a need for more intensive interventions with a higher risk-to-benefit ratio. The three proposed pathophysiological mechanisms are neurodevelopmental abnormalities, hyperarousal and circadian dysfunction, which, over time, have illness trajectories (or pathways) to psychosis, anxious depression and bipolar spectrum disorders, respectively. The transdiagnostic framework has been evaluated in young people presenting to youth mental health clinics of the University of Sydney's Brain and Mind Centre, alongside a range of clinical and objective measures. Our research to date provides support for this framework, and we are now exploring its application to the development of more personalised models of care. CHAPTER 3: A COMPREHENSIVE ASSESSMENT FRAMEWORK FOR YOUTH MENTAL HEALTH: GUIDING HIGHLY PERSONALISED AND MEASUREMENT-BASED CARE USING MULTIDIMENSIONAL AND OBJECTIVE MEASURES: There is an urgent need for improved care for young people with mental health problems, in particular those with subthreshold mental disorders that are not sufficiently severe to meet traditional diagnostic criteria. New comprehensive assessment frameworks are needed to capture the biopsychosocial profile of a young person to drive highly personalised and measurement-based mental health care. We present a range of multidimensional measures involving five key domains: social and occupational function; self-harm, suicidal thoughts and behaviours; alcohol or other substance misuse; physical health; and illness type, stage and trajectory. Objective measures include: neuropsychological function; sleep-wake behaviours and circadian rhythms; metabolic and immune markers; and brain structure and function. The recommended multidimensional measures facilitate the development of a comprehensive clinical picture. The objective measures help to further develop informative and novel insights into underlying pathophysiological mechanisms and illness trajectories to guide personalised care plans. A panel of specific multidimensional and objective measures are recommended as standard clinical practice, while others are recommended secondarily to provide deeper insights with the aim of revealing alternative clinical paths for targeted interventions and treatments matched to the clinical stage and proposed pathophysiological mechanisms of the young person. CHAPTER 4: PERSONALISING CARE OPTIONS IN YOUTH MENTAL HEALTH: USING MULTIDIMENSIONAL ASSESSMENT, CLINICAL STAGE, PATHOPHYSIOLOGICAL MECHANISMS, AND INDIVIDUAL ILLNESS TRAJECTORIES TO GUIDE TREATMENT SELECTION: New models of mental health care for young people require that interventions be matched to illness type, clinical stage, underlying pathophysiological mechanisms and individual illness trajectories. Narrow syndrome-focused classifications often direct clinical attention away from other key factors such as functional impairment, self-harm and suicidality, alcohol or other substance misuse, and poor physical health. By contrast, we outline a treatment selection guide for early intervention for adolescent-onset mood and psychotic syndromes (ie, active treatments and indicated and more specific secondary prevention strategies). This guide is based on experiences with the Brain and Mind Centre's highly personalised and measurement-based care model to manage youth mental health. The model incorporates three complementary core concepts: ▶A multidimensional assessment and outcomes framework including: social and occupational function; self-harm, suicidal thoughts and behaviours; alcohol or other substance misuse; physical health; and illness trajectory. ▶Clinical stage. ▶Three common illness subtypes (psychosis, anxious depression, bipolar spectrum) based on three underlying pathophysiological mechanisms (neurodevelopmental, hyperarousal, circadian). These core concepts are not mutually exclusive and together may facilitate improved outcomes through a clinical stage-appropriate and transdiagnostic framework that helps guide decisions regarding the provision of appropriate and effective care options. Given its emphasis on adolescent-onset mood and psychotic syndromes, the Brain and Mind Centre's model of care also respects a fundamental developmental perspective - categorising childhood problems (eg, anxiety and neurodevelopmental difficulties) as risk factors and respecting the fact that young people are in a period of major biological and social transition. Based on these factors, a range of social, psychological and pharmacological interventions are recommended, with an emphasis on balancing the personal benefit-to-cost ratio. CHAPTER 5: A SERVICE DELIVERY MODEL TO SUPPORT HIGHLY PERSONALISED AND MEASUREMENT-BASED CARE IN YOUTH MENTAL HEALTH: Over the past decade, we have seen a growing focus on creating mental health service delivery models that better meet the unique needs of young Australians. Recent policy directives from the Australian Government recommend the adoption of stepped-care services to improve the appropriateness of care, determined by severity of need. Here, we propose that a highly personalised approach enhances stepped-care models by incorporating clinical staging and a young person's current and multidimensional needs. It explicitly aims to prevent progression to more complex and severe forms of illness and is better aligned to contemporary models of the patterns of emergence of psychopathology. Inherent within a highly personalised approach is the incorporation of other evidence-based processes, including real-time measurement-based care and use of multidisciplinary teams of health professionals. Data-driven local system modelling and personalised health information technologies provide crucial infrastructure support to these processes for better access to, and higher quality of, mental health care for young people.

The evaluation of metacognitive beliefs and emotion recognition in panic disorder and generalized anxiety disorder: effects on symptoms and comparison with healthy control

Background: The impairments in metacognitive functions and emotion recognition are considered as liable factors in anxiety disorders. Aims: The better understanding of these cognitive abilities might lead to develop more accurate treatment methods for patients who suffer from anxiety. Methods: Forty-four patients with panic disorder (PD), 37 individuals with generalized anxiety disorder (GAD) and 44 healthy control (HC) were participated in our study. Metacognition questionnaire-30 (MCQ-30), Reading The Mind From The Eyes Test and symptom severity tests were administered. Results: Statistical analyses estimated the dysfunctional metacognitive beliefs and disrupted emotion recognition in patients relative to HC. The 'need to control thoughts' aspect of metacognitive beliefs was accounted for symptom severity in GAD. Improper metacognitive beliefs were significantly predicted the PD and GAD. In addition, impoverished emotion recognition predicted the GAD. Conclusions: Our study revealed the role of inconvenient metacognitive beliefs and distorted emotion recognition in PD and GAD. These findings might facilitate the treatment management in cognitive therapies of anxiety disorders via pointing out more reasonable targets across improper cognitive fields.