Enduring effects of evidence-based psychotherapies in acute depression and anxiety disorders versus treatment as usual at follow-up — A longitudinal meta-analysis

This meta-analysis examined the enduring efficacy of evidence-based psychotherapies (EBP) in comparison to treatment as usual (TAU) by examining effects from termination to follow-up for acute anxiety and depression in an adult outpatient population. It was hypothesized that EBPs might extend their efficacy at follow-up assessment (Tolin, 2010). METHOD: Longitudinal multilevel meta-analyses were conducted that examined the magnitude of difference between EBP and TAU. Targeted (disorder-specific) outcomes were examined, along with dropout rates at follow-up assessments. RESULTS: A total of 15 comparisons (including 30 repeated effect sizes [ES]) were included in this meta-analysis (average of 8.9 month follow-up). Small to moderate ES differences were found to be in favor of EBPs at 0-4 month assessments (Hedges' g=0.40) and up to 12-18 month assessments (g=0.20), indicating no extended efficacy at follow-up. However, the TAU-conditions were heterogeneous, ranging from absence of minimal mental health treatment to legitimate psychotherapeutic interventions provided by trained professionals, the latter of which resulted in smaller ES differences. Furthermore, samples where substance use comorbidities were not actively excluded indicated smaller ES differences. TAU-conditions produced slightly higher dropout rates than EBP-conditions. CONCLUSION: Findings indicate small and no extended superiority of EBP for acute depression and anxiety disorders in comparison to TAU at follow-up assessment. There are a limited number of studies investigating the transportability and lasting efficacy of EBP compared to TAU, especially to TAU with equivalent conditions between treatment groups.

Analysis of Phenotypic Variation in Childhood Wheezing Disorders

Recurrent wheezing or asthma is a common problem in children that has increased considerably in prevalence in the past few decades. The causes and underlying mechanisms are poorly understood and it is thought that a numb er of distinct diseases causing similar symptoms are involved. Due to the lack of a biologically founded classification system, children are classified according to their observed disease related features (symptoms, signs, measurements) into phenotypes. The objectives of this PhD project were a) to develop tools for analysing phenotypic variation of a disease, and b) to examine phenotypic variability of wheezing among children by applying these tools to existing epidemiological data. A combination of graphical methods (multivariate co rrespondence analysis) and statistical models (latent variables models) was used. In a first phase, a model for discrete variability (latent class model) was applied to data on symptoms and measurements from an epidemiological study to identify distinct phenotypes of wheezing. In a second phase, the modelling framework was expanded to include continuous variability (e.g. along a severity gradient) and combinations of discrete and continuo us variability (factor models and factor mixture models). The third phase focused on validating the methods using simulation studies. The main body of this thesis consists of 5 articles (3 published, 1 submitted and 1 to be submitted) including applications, methodological contributions and a review. The main findings and contributions were: 1) The application of a latent class model to epidemiological data (symptoms and physiological measurements) yielded plausible pheno types of wheezing with distinguishing characteristics that have previously been used as phenotype defining characteristics. 2) A method was proposed for including responses to conditional questions (e.g. questions on severity or triggers of wheezing are asked only to children with wheeze) in multivariate modelling.ii 3) A panel of clinicians was set up to agree on a plausible model for wheezing diseases. The model can be used to generate datasets for testing the modelling approach. 4) A critical review of methods for defining and validating phenotypes of wheeze in children was conducted. 5) The simulation studies showed that a parsimonious parameterisation of the models is required to identify the true underlying structure of the data. The developed approach can deal with some challenges of real-life cohort data such as variables of mixed mode (continuous and categorical), missing data and conditional questions. If carefully applied, the approach can be used to identify whether the underlying phenotypic variation is discrete (classes), continuous (factors) or a combination of these. These methods could help improve precision of research into causes and mechanisms and contribute to the development of a new classification of wheezing disorders in children and other diseases which are difficult to classify.

Prospective longitudinal study of subcortical brain volumes in individuals at high familial risk of mood disorders with or without subsequent onset of depression

Subcortical volumetric brain abnormalities have been observed in mood disorders. However, it is unknown whether these reflect adverse effects predisposing to mood disorders or emerge at illness onset. Magnetic resonance imaging was conducted at baseline and after two years in 111 initially unaffected young adults at increased risk of mood disorders because of a close family history of bipolar disorder and 93 healthy controls (HC). During the follow-up, 20 high-risk subjects developed major depressive disorder (HR-MDD), with the others remaining well (HR-well). Volumes of the lateral ventricles, caudate, putamen, pallidum, thalamus, hippocampus and amygdala were extracted for each hemisphere. Using linear mixed-effects models, differences and longitudinal changes in subcortical volumes were investigated between groups (HC, HR-MDD, HR-well). There were no significant differences for any subcortical volume between groups controlling for multiple testing. Additionally, no significant differences emerged between groups over time. Our results indicate that volumetric subcortical brain abnormalities of these regions using the current method appear not to form familial trait markers for vulnerability to mood disorders in close relatives of bipolar disorder patients over the two-year time period studied. Moreover, they do not appear to reduce in response to illness onset at least for the time period studied.