Background
Comorbidities in mental disorders are often understood by assuming a common cause. The network theory of mental disorders offers an alternative to this assumption by understanding ...comorbidities as mutually reinforced problems. In this study, we used network analysis to examine bridge symptoms between anxiety and depression in a large sample.
Method
Using data from a sample of patients diagnosed with both depression and an anxiety disorder before and after inpatient treatment (N = 5,614, mean age: 42.24, 63.59% female, average treatment duration: 48.12 days), network models of depression and anxiety symptoms are estimated. Topology, the centrality of nodes, stability, and changes in network structure are analyzed. Symptoms that drive comorbidity are determined by bridge node analysis. As an alternative to network communities based on categorical diagnosis, we performed a community analysis and propose empirically derived symptom subsets.
Results
The obtained network models are highly stable. Sad mood and the inability to control worry are the most central. Psychomotor agitation or retardation is the strongest bridge node between anxiety and depression, followed by concentration problems and restlessness. Changes in appetite and suicidality were unique to depression. Community analysis revealed four symptom groups.
Conclusion
The estimated network structure of depression and anxiety symptoms proves to be highly accurate. Results indicate that some symptoms are considerably more influential than others and that only a small number of predominantly physical symptoms are strong candidates for explaining comorbidity. Future studies should include physiological measures in network models to provide a more accurate understanding.
Objectives
Predictive processing approaches to belief updating in depression propose that depression is related to more negative and more precise priors. Also, belief updating is assumed be ...negatively biased in comparison to normative Bayesian updating. There is a lack of efficient methods to mathematically model belief updating in depression.
Methods
We validated a novel performance belief updating paradigm in a nonclinical sample (N = 133). Participants repeatedly participated in a non‐self‐related emotion recognition task and received false feedback. Effects of the feedback manipulation and differences in depressive symptoms on belief updating were analysed in Bayesian multilevel analyses.
Results
Beliefs were successfully manipulated through the feedback provided. Depressive symptoms were associated with more negative updating than normative Bayesian updating but results were influenced by few cases. No evidence of biased change in beliefs or overly precise priors was found. Depressive symptoms were associated with more negative updating of generalised performance beliefs.
Conclusions
There was cautious support for negatively biased belief updating associated with depressive symptoms, especially for generalised beliefs. The content of the task may not be self‐relevant enough to cause strong biases. Further explication of Bayesian models of depression and replication in clinical samples is needed.
Objective
While the efficacy of psychotherapy in the treatment of mental disorders is well examined, systematic research into negative effects of psychotherapy seems comparatively rare. Therefore, ...this review evaluates instruments for assessing negative effects of psychotherapy in order to create a consensus framework and make recommendations for their assessment.
Methods
The study selection procedure follows current best‐practice guidelines for conducting systematic reviews, with 10 included studies in three databases (PsycINFO, PubMed, and Web of Science). The nine instruments identified were each critically reviewed concerning the theoretical orientation, including the assessed domains of negative effects, psychometric properties, and diagnostic characteristics.
Results
Seventeen domains of negative effects of psychotherapy were identified but inconsistently assessed by the nine instruments. Most instruments provide some initial data on their psychometric properties. Regarding diagnostic characteristics, different item‐response formats are used but often with reference to “attribution to therapy.”
Conclusion
This review indicates that the existing instruments for assessing negative effects of psychotherapy cover a wide range of relevant domains without any consensus on the most important ones and their psychometric properties are usually unsatisfactory. A framework for consensus, building on the definition and conceptualization of negative effects, is synthesized, and recommendations for improving the assessment are derived.
In contrast to the broad evidence base for psychotherapy, systematic research on assessing and reporting negative effects of psychotherapy seems rare. Through an extensive database search, nine relevant instruments measuring negative effects of psychotherapy were identified. These instruments provided to some extent psychometric data, but these efforts are still in its infancy and need further examination. A framework toward a consensus definition and conceptualization was synthesized, and future directions were given in order to improve the assessment of negative effects of psychotherapy.
As a multidimensional stressor, the COVID-19 pandemic posed a significant threat to mental health, with studies showing younger age groups to be particularly vulnerable. Thus, this study aimed to ...monitor mental health, potential risk/protective factors, and pandemic-related variables among young university students during the pandemic.
Students of the University of Greifswald (M age = 23.0 years, 73.9% female) participated in five cross-sectional online surveys in December 2020 (
= 1,127), March 2021 (
= 760), June/July 2021 (
= 531), December 2021 (
= 1,226), and December 2022 (
= 814). Sociodemographic data, depression and anxiety severity, loneliness, quality of life, coping strategies, resilience, self-esteem, and emotion regulation were measured. First, results from December 2020 were compared to pre-pandemic normative data. Second, the time course during the pandemic was analyzed. Third, linear models were calculated to examine the influence of risk and protective factures on depression and anxiety severity.
Higher levels of depression, anxiety, and loneliness, as well as lower levels of self-esteem, physical and mental health, social relationships and well-being were found in December 2020 compared to pre-pandemic. Levels of depression and anxiety severity peaked in December 2022. Female sex, loneliness, and previous mental treatment showed associations with higher depression and anxiety severity, while higher self-esteem, resilience and use of reappraisal strategies appeared to act as protective factors.
The study indicates the pandemic's detrimental impact on students' mental health and quality of life. Identified risk and protective factors provide guidance for tailored prevention and treatment, as well as the design of measures for future pandemics and other crisis.
Practitioners and researchers alike assume that there is individual variability in the effects of treatments for mental disorders. However, for psychotherapy, up to now this assumption has never been ...empirically tested. Using a large database of randomized-controlled trials on psychotherapy of depression in adults (306 trials including a total of 51,853 patients), we performed a Bayesian variance ratio meta-regression. For the entire sample, we found a 9% higher variance in the intervention groups compared with the control groups. Depending on the depression scale used, this corresponds to a standard deviation of the individual treatment effect of 3 to 4 points. Subgroup analyses revealed that the effect variability of some types of therapy is larger than others. Our results are the first to indicate that patients do benefit differently from psychotherapy. We conclude that there is a sound basis for the paradigm of personalized psychotherapy, which brings about implications for both research and clinical practice.
Public Health Significance Statement
In recent years, studies with high methodological quality have pointed out that the efficacy of psychotherapy in the treatment of depression is less satisfactory than previous research suggested. To optimize psychotherapy for non-responders, the paradigm of personalized therapy is coming into the research focus. In this study, we show for the first time that the effects of psychological interventions vary more than those of control conditions. This shows that differential response to treatments is inherent to intervention effects. Thus, it could indeed be beneficial to better tailor psychotherapy to individual patients. In practice, session-by-session outcome monitoring should be used to detect non-responding cases in ongoing treatments. Statistical methods guiding the selection of treatment components capitalize on the heterogeneity of treatment effects and are thus likely to improve outcomes. These findings pave the way for broad research and implementation of approaches that support personalization (e.g., monitoring and feedback systems) as well as a new shaping of training beyond the traditional schools of thought in psychotherapy.
Objective
With a lack of experimental designs in psychotherapy/counselling process research, evidence is limited regarding which therapeutic style is helpful for which patient and the role of ...expectations. Therefore, the aim of this experimental study was to manipulate the therapeutic style and clients' expectations towards psychological counselling and investigate their effects on counselling outcome.
Method
Eighty healthy participants (74% female, Mage = 31.2 years, SDage = 12.21) received a single counselling session focussing on interpersonal conflicts. We defined two therapeutic styles (relationship‐focussed vs. problem‐focussed) based on the interpersonal circumplex, and participants were led to believe they would receive one of the two styles. In the actual counselling session, they received either the expected or the contrary, resulting in a 2 x 2 design. Primary outcome rated by participants was subjective impairment caused by the conflict 2 weeks after the session; secondary outcomes were satisfaction with the session and perceived working alliance.
Results
The successful implementation of the proposed therapeutic styles was confirmed by adherence ratings (U = 25.50, p < 0.001) and ratings of counsellors’ behaviour in the circumplex model (p < 0.001) for the friendly and hostile dimensions. Impairment was significantly reduced 2 weeks after the counselling session, but this effect was dependent on neither the therapeutic style, clients' expectations, nor their interaction.
Discussion
The study provides the first evidence that a single counselling session appears to be effective in alleviating impairment caused by an interpersonal conflict, independent of the counselling style and client expectations. The novel experimental design provides a basis for further process research in psychological counselling and psychotherapy.
Background
Chronic depression is a severe and disabling condition. Compared to an episodic course, chronic depression has been shown to be less responsive to psychopharmacological and psychological ...treatments. The cognitive behavioral analysis system of psychotherapy (CBASP) has been developed as a specific psychotherapy for chronic depression. However, conflicting results concerning its efficacy have been reported in randomized‐controlled trials (RCT). Therefore, we aimed at examining the efficacy of CBASP using meta‐analytical methods.
Methods
Randomized‐controlled trials assessing the efficacy of CBASP in chronic depression were identified by searching electronic databases (PsycINFO, PubMed, Scopus, Cochrane Central Register of Controlled Trials) and by manual searches (citation search, contacting experts). Searching period was restricted from the first available entry to October 2015. Identified studies were systematically reviewed. The standardized mean difference Hedges' g was calculated from posttreatment and mean change scores. The random‐effects model was used to compute combined overall effect sizes. A risk of publication bias was addressed using fail‐safe N calculations and trim‐and‐fill analysis.
Results
Six studies comprising 1.510 patients met our inclusion criteria. The combined overall effect sizes of CBASP versus other treatments or treatment as usual (TAU) pointed to a significant effect of small magnitude (g = 0.34–0.44, P < 0.01). In particular, CBASP revealed moderate‐to‐high effect sizes when compared to TAU and interpersonal psychotherapy (g = 0.64–0.75, P < 0.05), and showed similar effects when compared to antidepressant medication (ADM) (g = −0.29 to 0.02, ns). The combination of CBASP and ADM yielded benefits over antidepressant monotherapy (g = 0.49–0.59, P < 0.05).
Limitations
The small number of included studies, a certain degree of heterogeneity among the study designs and comparison conditions, and insufficient data evaluating long‐term effects of CBASP restrict generalizability yet.
Conclusions
We conclude that there is supporting evidence that CBASP is effective in the treatment of chronic depression.
Chronic depression is a severe condition with low remission rates and high individual and public health costs. The “cognitive behavioral analyse system of psychotherapy” (CBASP) is the first specific psychotherapy to treat chronic depression. We here demonstrate the usefulness and superiority of CBASP using meta‐analytical methods for the first time.
Objective: Due to the lack of randomization, pre-post routine outcome data precludes causal conclusions. We propose the "synthetic waiting list" (SWL) control group to overcome this limitation.
...Method: First, a step-by-step introduction illustrates this novel approach. Then, this approach is demonstrated using an empirical example with data from an outpatient cognitive-behavioral therapy (CBT) clinic (N = 139). We trained an ensemble machine learning model ("Super Learner") on a data set of patients waiting for treatment (N = 311) to make counterfactual predictions of symptom change during this hypothetical period.
Results: The between-group treatment effect was estimated to be d = 0.42. Of the patients who received CBT, 43.88% achieved reliable and clinically significant change, while this probability was estimated to be 14.54% in the SWL group. Counterfactual estimates suggest a clear net benefit of psychotherapy for 41% of patients. In 32%, the benefit was unclear, and 27% would have improved similarly without receiving CBT.
Conclusions: The SWL is a viable new approach that provides between-group outcome estimates similar to those reported in the literature comparing psychotherapy with high-intensity control interventions. It holds the potential to mitigate common limitations of routine outcome data analysis.
Purpose
Depressive disorders in children and adolescents have an enormous impact on their general quality of life. There is a clear need to effectively treat depression in this age group. Effects of ...psychotherapy can be enhanced by involving caregivers. In our systematic review and meta‐analysis, we examine for the first time the effects of caregiver involvement in depression‐specific interventions for children and adolescents.
Methods
We included randomized controlled trials examining the effects of interventions for children and adolescents with depression involving their caregivers or families compared to interventions without including caregivers. Primary outcome was the severity of childhood and adolescent depression.
Results
Overall, 19 randomized controlled trials could be included (N = 1553) that were highly heterogeneous regarding outcome measures or the extent of caregiver integration. We were able to include k = 17 studies in our meta‐analysis and find a small but significant effect for family‐involved interventions against active control conditions without family‐involvement at post intervention (α = 0.05, d = 0.34; 0.07; 0.60; p = .01).
Conclusions
We detected an overall significant but small effect of family/caregivers’ involvement compared to control groups without it. Structured, guideline‐based research is urgently needed to identify for which children/adolescents with depression, under what circumstances, and in what form the family should be effectively involved in their psychotherapy.
Recent years have seen major developments in psychotherapy research that suggest the need to address critical methodological issues. These recommendations, developed by an international group of ...researchers, do not replace those for randomized controlled trials, but rather supplement strategies that need to be taken into account when considering psychological treatments. The limitations of traditional taxonomy and assessment methods are outlined, with suggestions for consideration of staging methods. Active psychotherapy control groups are recommended, and adaptive and dismantling study designs offer important opportunities. The treatments that are used, and particularly their specific ingredients, need to be described in detail for both the experimental and the control groups. Assessment should be performed blind before and after treatment and at long-term follow-up. A combination of observer-and self-rated measures is recommended. Side effects of psychotherapy should be evaluated using appropriate methods. Finally, the number of participants who deteriorate after treatment should be noted according to the methods that were used to define response or remission.
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