Open Access

BackgroundEndurance exercise in general and marathon running in particular have become increasingly popular over the past decades. Recent investigations about personality structures in this cohort and comparisons to non-active cohorts are lacking. MethodsIn the ReCaP study (Running effects on Cognition and Plasticity), a total of 100 marathon runners and 46 sedentary controls were recruited. After elimination of Minnesota Multiphasic Personality Inventory 2 Restructured Form (MMPI-2-RF) profiles with insufficient validity, 79 marathon runners (MA) and 27 sedentary controls (SC) remained for final analyses. Depressive symptoms were evaluated with Beck Depression Inventory (BDI) and Hamilton Depression Scale (HAMD). ResultsMarathon runners had lower scores in scales measuring somatic and cognitive complaints, stress, demoralization, hopelessness and distrust. Within the marathon group, committed runners exhibited hypomanic traits compared to regular runners. Discussion and ConclusionPersonality differences could be summarized as (sub-)depressive personality traits in SC compared to MA rather than typical (sub-) depressive symptoms in the meaning of depressive disorders. Future studies should further evaluate cause and consequence of endurance training and hypomanic or euthymic symptoms, as a two-way interaction exists. Trial Registrationhttp://apps.who.int/trialsearch/Trial2.aspx?TrialID=DRKS00012496.

The Federal Ministry of Education and Research (BMBF) issued a call for a new nationwide research network on mental disorders, the German Center of Mental Health (DZPG). The Munich/Augsburg consortium was selected to participate as one of six partner sites with its concept “Precision in Mental Health (PriMe): Understanding, predicting, and preventing chronicity.” PriMe bundles interdisciplinary research from the Ludwig-Maximilians-University (LMU), Technical University of Munich (TUM), University of Augsburg (UniA), Helmholtz Center Munich (HMGU), and Max Planck Institute of Psychiatry (MPIP) and has a focus on schizophrenia (SZ), bipolar disorder (BPD), and major depressive disorder (MDD). PriMe takes a longitudinal perspective on these three disorders from the at-risk stage to the first-episode, relapsing, and chronic stages. These disorders pose a major health burden because in up to 50% of patients they cause untreatable residual symptoms, which lead to early social and vocational disability, comorbidities, and excess mortality. PriMe aims at reducing mortality on different levels, e.g., reducing death by psychiatric and somatic comorbidities, and will approach this goal by addressing interdisciplinary and cross-sector approaches across the lifespan. PriMe aims to add a precision medicine framework to the DZPG that will propel deeper understanding, more accurate prediction, and personalized prevention to prevent disease chronicity and mortality across mental illnesses. This framework is structured along the translational chain and will be used by PriMe to innovate the preventive and therapeutic management of SZ, BPD, and MDD from rural to urban areas and from patients in early disease stages to patients with long-term disease courses. Research will build on platforms that include one on model systems, one on the identification and validation of predictive markers, one on the development of novel multimodal treatments, one on the regulation and strengthening of the uptake and dissemination of personalized treatments, and finally one on testing of the clinical effectiveness, utility, and scalability of such personalized treatments. In accordance with the translational chain, PriMe’s expertise includes the ability to integrate understanding of bio-behavioral processes based on innovative models, to translate this knowledge into clinical practice and to promote user participation in mental health research and care.

Background If people with episodic mental-health conditions lose their job due to an episode of their mental illness, they often experience personal negative consequences. Therefore, reintegration after sick leave is critical to avoid unfavorable courses of disease, longer inability to work, long payment of sickness benefits, and unemployment. Existing return-to-work (RTW) programs have mainly focused on “common mental disorders” and often used very elaborate and costly interventions without yielding convincing effects. It was the aim of the RETURN study to evaluate an easy-to-implement RTW intervention specifically addressing persons with mental illnesses being so severe that they require inpatient treatment. Methods The RETURN study was a multi-center, cluster-randomized controlled trial in acute psychiatric wards addressing inpatients suffering from a psychiatric disorder. In intervention wards, case managers (RTW experts) were introduced who supported patients in their RTW process, while in control wards treatment, as usual, was continued. Results A total of 268 patients were recruited for the trial. Patients in the intervention group had more often returned to their workplace at 6 and 12 months, which was also mirrored in more days at work. These group differences were statistically significant at 6 months. However, for the main outcome (days at work at 12 months), differences were no longer statistically significant (p = 0.14). Intervention patients returned to their workplace earlier than patients in the control group (p = 0.040). Conclusions The RETURN intervention has shown the potential of case-management interventions when addressing RTW. Further analyses, especially the qualitative ones, may help to better understand limitations and potential areas for improvement.

Background Clinical practice guidelines are crucial for enhancing healthcare quality and patient outcomes. Yet, their implementation remains inconsistent across various professions and disciplines. Previous findings on the implementation of the German guideline for schizophrenia (2019) revealed low adherence rates among healthcare professionals. Barriers to guideline adherence are multifaceted, influenced by individual, contextual, and guideline-related factors. This study aims to investigate the effectiveness of a digital guideline version compared to print/PDF formats in enhancing guideline adherence. Methods A multicenter, cluster-randomized controlled trial was conducted in South Bavaria, Germany, involving psychologists and physicians. Participants were divided into two groups: implementation of the guideline using a digital online version via the MAGICapp platform and the other using the traditional print/PDF version. The study included a baseline assessment and a post-intervention assessment following a 6-month intervention phase. The primary outcome was guideline knowledge, which was assessed using a guideline knowledge questionnaire. Results The study included 217 participants at baseline and 120 at post-intervention. Both groups showed significant improvements in guideline knowledge; however, no notable difference was found between both study groups regarding guideline knowledge at either time points. At baseline, 43.6% in the control group (CG) and 52.5% of the interventional group (IG) met the criterion. There was no significant difference in the primary outcome between the two groups at either time point (T0: Chi2(1) = 1.65, p = 0.199, T1: Chi2(1) = 0.34, p = 0.561). At post-intervention, both groups improved, with 58.2% in the CG and 63.5% in the IG meeting this criterion. Conclusions While the study did not include a control group without any implementation strategy, the overall improvement in guideline knowledge following an implementation strategy, independent of the format, was confirmed. The digital guideline version, while not superior in enhancing knowledge, showed potential benefits in shared decision-making skills. However, familiarity with traditional formats and various barriers to digital application may have influenced these results. The study highlights the importance of tailored implementation strategies, especially for younger healthcare providers.

Intermittent theta burst stimulation (iTBS), a variant of repetitive transcranial magnetic stimulation (rTMS), is an established treatment for adults with major depressive disorder (MDD). Due to its favorable safety profile, iTBS is also a promising early intervention in the transition phase from adolescence to early adulthood, but this has not been systematically investigated to date. Thus, the EARLY-BURST trial investigates the efficacy and safety of iTBS over the left dorsolateral prefrontal cortex (lDLPFC) in treatment-seeking young patients (age 16–26 years) with depressive disorders (i.e. major depressive disorder, persistent depressive disorder, bipolar depression), allowing for relevant co-morbidities. Participants have not received antidepressant or antipsychotic medication during the last 12 months except for short-term (< 2 weeks) on-demand medication. The trial will employ a novel sequential Bayesian, randomized, double-blind, parallel-group, sham-controlled design. Up to 90 patients at two clinical sites (Munich, Augsburg) will be randomized 1:1 to the treatment groups, with sequential analyses starting after 26 patients in each group completed the treatment. The primary outcome will be the difference in depression severity at week 6 (post-treatment visit) between active iTBS and sham iTBS, assessed with the Montgomery-Åsberg Depression Rating Scale (MADRS). The trial is planned to be expanded towards a three-arm leapfrog design, contingent on securing additional funding. Thus, in addition to potentially providing evidence of iTBS’s efficacy in adolescents and young adults with depressive disorders, the EARLY-BURST trial aims at setting the stage for subsequent platform trials in this dynamic research field, where novel adaptive study designs are required to meet the need for rapidly testing promising new vs established rTMS protocols.

Background: Due to illness-related functional limitations, a significant proportion of individuals with severe mental illness are dependent on external assistance to navigate their daily lives and achieve an optimal level of independence and wellbeing. Objectives: The present study sought to investigate the needs, the coverage of needs and the influencing factors among people with severe mental illness in Germany. Methods: The study included patients diagnosed with severe mental illness. The met and unmet needs, as well as the potential influencing factors, were collected using Camberwell Assessment of Need (CAN) and Client Sociodemographic and Service Receipt Inventory (CSSRI) and subsequently analysed descriptively and exploratively. Results: The mean number of reported needs was 6.4, with an average of 40.6% of these needs being met. The vast majority of patients (98%) require professional support, which is, from their perspective, inadequate (9-86% depending on the area concerned). Additionally, many patients also receive support from relatives (7-57% depending on the area concerned). The diagnosis, age, functioning, household income, and housing situation have an influence on the number and coverage of needs. Conclusions: The findings indicate that patients have diverse and complex needs, which are not fully met. Notably, the support provided by professional services is perceived as inadequate.

Background: Promoting social inclusion is crucial for people living with severe mental illness (SMI), who often experience high levels of social exclusion. However, research that uses a psychometric social inclusion measure to identify factors that determine varying levels of social inclusion in individuals with SMI is scarce. Aims: This study aimed to examine to what extent people with SMI feel socially included and to identify factors associated with perceived social inclusion among people with SMI. Method: A cross-sectional multicenter investigation of psychiatric inpatients and day hospital patients with SMI aged 18 to 65 years (n = 358) was conducted. Perceived social inclusion, sociodemographic, and clinical characteristics were assessed using the Measure of Participation and Social Inclusion for Use in People with a Chronic Mental Disorder (F-INK). Hierarchical multiple linear regression was performed to analyse the association between social inclusion and potential predictors. Results: The participants' overall level of social inclusion was moderate (F-INK social inclusion total score M = 1.9, SD = 0.6). Age, relationship status, diagnostic group, employment status, and living situation emerged as predictors of social inclusion. Greater subjective social inclusion was predicted by older age (p = .027), being in a committed intimate relationship (p = .037), diagnosis of schizophrenia spectrum disorder (compared to diagnosis of depression, p = .020), being competitively employed or in education (compared to being in sheltered employment, p = .022; compared to being unemployed or receiving a disability pension, p = .007), and living with other people (p = .042). Conclusions: The results confirm deficiencies in social inclusion of people with SMI. Individuals with SMI who are younger, single, have a diagnosis of depression, are in sheltered employment, are unemployed or receiving a disability pension, and are living alone seem to be particularly at risk of experiencing low social inclusion. These findings highlight the importance of psychosocial interventions in rehabilitative mental healthcare.