Data analysis
equanimity, cognitive reframing / reappraisal, anxiety, depressive symptoms
To analyze the overall efficacy of the MBERT, we analyzed changes in depressive symptoms, self-efficacy, self-compassion and state rumination by using the data of corresponding questionnaires (BDI-II, SWE, SCS, SRQ). We conducted a repeated measurements multivariate analysis of variance (rmMANOVA) for the factor group (treatment vs. TAU) and measurement point (tWe analyzed the used therapeutic techniques that have been instructed during the therapeutic talk phase. This qualitative data was categorized into 11 interventions: Attention regulation and focus (e.g. on the main emotion in a burdening topic and its emotional network), chaining (e.g. linking different aspects or substeps of the used strategies), cognitive perspective change (consisting of acceptance (e.g. of negative emotions), cognitive reframing / reappraisal (e.g. seeing the functional aspects of negative emotions, such as signals of needs) and self-compassion (e.g. giving oneself the same kindness and care as if it was to a good friend)), distancing and equanimity (e.g. observing an actual burdening emotion from a distanced perspective), metaphor (e.g. seeing anxiety as a smoke detector / alarm signal), motivational interviewing, self-verbalization / self-instruction (e.g. formulation of self-verbalization “Even if I feel weak sometimes, I’m not a failure”), socratic questioning, “pretending to” (e.g. thinking about how a situation would be without a certain negative emotion), validation (e.g. seeing that every person would have certain emotions in situations the patient is burdened by) and control of body function (e.g. controlled breathing or relaxation). Using Chi-squared tests we analyzed if the frequency of intervention implementation of any as well as of specific interventions differed between sessions and session phases.We finally conducted an exploratory analysis to investigate the relationship between behavioral ratings and OAll analyses were done using R (