Outpatient mental health care during high incidence phases of the COVID-19 pandemic in Germany - changes in utilization, challenges and post-COVID care.

BACKGROUND: As only a few studies have examined the impact of the COVID-19 pandemic on the mental health outpatient system so far, the aim of the COVID Ψ Outpatient Survey was to gain insight from outpatient providers in Germany regarding changes in utilization; associated problems and challenges; telemedicine services; interactions with inpatient and nursing home services; and experiences with post-COVID syndromes. METHODS: Between July and September 2021, we invited 351 randomly selected outpatient mental health specialists to take part in the online survey via e-mail. Additionally, we extended an invitation to professional associations to encourage their members to participate. N = 105 physicians of most regions of Germany took part in the survey. RESULTS: Survey participants reported changes in utilization during the high incidence phases (HIP) of the pandemic using pre-formulated categories: For the first HIP in spring 2020, 31% of the survey participants reported a decrease > 20% and 5% an increase > 20% of patient contacts. For the third HIP in spring 2021, 4% reported a decrease > 20% of contacts, while 30% an increase > 20%. Participants chose "patient's fears of infection" and "providers protection measures" as reasons for decreases, and "pandemic related anxieties", "economic stressors", and "capacity reductions of the inpatient system" as reasons for increases of patient contact. Many providers introduced telemedicine services. A majority reported consultations for post-COVID syndromes already in spring 2021. CONCLUSIONS: The survey hinted at changes in utilization, multiple problems but as well good-practice-solutions in the mental health outpatient system during the COVID-19 pandemic.

Psychometric properties of the German version of the brief resilience scale in persons with mental disorders.

The Brief Resilience Scale (BRS) was developed to assess individual differences in the ability to recover from stress despite adversity and has been translated into several languages. This study aimed to examine the psychometric properties (i.e., item characteristics, reliability, factor structure, measurement invariance, and validity) of the German version of the BRS in persons with mental disorders. A total of N = 5,986 persons admitted to inpatient treatment completed the German version of the BRS and other questionnaires. The discriminating power of the items, the difficulty of the items, and the internal consistency were all sufficient. Moreover, confirmatory factor analysis supported the two-factor structure of the BRS, consistent with the findings of the German validation study in a non-clinical sample. The BRS also had strict measurement invariance across diagnostic groups for mental disorders according to ICD-10. Validity was examined using a network analysis, in which the BRS demonstrated positive correlations with life satisfaction, self-efficacy and optimism and negative correlations with somatic symptoms, anxiety, insomnia, and depression. The BRS can serve as a reliable and valid tool for assessing resilience in clinical settings, facilitating the identification of persons with potentially lower psychosocial resources.

Remote Exercise Training Intervention During the COVID-19 Pandemic: Randomized Controlled Trial.

BACKGROUND: Societal measures to contain the spread of COVID-19 (eg, lockdown and contact restrictions) have been associated with decreased health and well-being. A multitude of prepandemic studies identified the beneficial effects of physical exercise on both physical and mental health. OBJECTIVE: We report on the feasibility of a remote physical exercise intervention and its stress-buffering potential in 2 untrained cohorts: a pre-COVID-19 cohort that completed the intervention in 2019 and a lockdown cohort that started the intervention shortly before pandemic-related restrictions were implemented. METHODS: In a randomized controlled trial, participants were assigned to either an intervention group (IG; pre-COVID-19 cohort: n=7 and lockdown cohort: n=9) or a control group (CG; pre-COVID-19 cohort: n=6 and lockdown cohort: n=6). IG participants received weekly individualized training recommendations delivered via web-based support. The intervention period was initially planned for 8 weeks, which was adhered to in the pre-COVID-19 cohort (mean 8.3, SD 0.5 weeks) but was extended to an average of 17.7 (SD 2.0) weeks in the lockdown cohort. Participants' health parameters were assessed before and after the intervention: aerobic capacity was measured as peak oxygen uptake (VO2peak) via cardiopulmonary exercise testing. Depressive symptoms were scored via the depression subscale of the Brief Symptom Inventory-18. RESULTS: Dropout rates were low in both cohorts in the IG (pre-COVID-19 cohort: n=0, 0% and lockdown cohort: n=2, 16.7%) and the CG (pre-COVID-19 cohort: n=0, 0% and lockdown cohort: n=2, 20%). The mean adherence to the training sessions of the IG for both cohorts was 84% (pre-COVID-19 cohort: SD 5.5% and lockdown cohort: SD 11.6%). Aligned rank transform ANOVAs in the lockdown cohort indicated deterioration of VO2peak and depressive symptoms from before to after the intervention in the CG but no longitudinal changes in the IG. Analyses in the pre-COVID-19 cohort revealed significant increases in VO2peak for the IG compared to the CG (P=.04) but no intervention effects on depressive symptoms. CONCLUSIONS: With low dropout rates and high adherence, the remote intervention was feasible for healthy adults under regular conditions and in the face of pandemic-related stressors. Moreover, our results hint at a stress-buffering effect as well as a buffering of a lockdown-induced deconditioning of remote physical exercise interventions in the pandemic scenario, which can be used in future studies to overcome equally stressful periods of life. However, due to limited statistical power, these findings should be replicated in similar scenarios. TRIAL REGISTRATION: German Clinical Trials Register DRKS00018078; https://drks.de/search/en/trial/DRKS00018078.

Informing pandemic management in Germany with trustworthy living evidence syntheses and guideline development: lessons learned from the COVID-19 evidence ecosystem.

OBJECTIVES: We present the 'COVID-19 evidence ecosystem' (CEOsys) as a German network to inform pandemic management and to support clinical and public health decision-making. We discuss challenges faced when organizing the ecosystem and derive lessons learned for similar networks acting during pandemics or health-related crises. STUDY DESIGN AND SETTING: Bringing together 18 university hospitals and additional institutions, CEOsys key activities included research prioritization, conducting living systematic reviews (LSRs), supporting evidence-based (living) guidelines, knowledge translation (KT), detecting research gaps, and deriving recommendations, backed by technical infrastructure and capacity building. RESULTS: CEOsys rapidly produced 31 high-quality evidence syntheses and supported three living guidelines on COVID-19-related topics, while also developing methodological procedures. Challenges included CEOsys' late initiation in relation to the pandemic outbreak, the delayed prioritization of research questions, the continuously evolving COVID-19-related evidence, and establishing a technical infrastructure. Methodological-clinical tandems, the cooperation with national guideline groups and international collaborations were key for efficiency. CONCLUSION: CEOsys provided a proof-of-concept for a functioning evidence ecosystem at the national level. Lessons learned include that similar networks should, among others, involve methodological and clinical key stakeholders early on, aim for (inter)national collaborations, and systematically evaluate their value. We particularly call for a sustainable network.

Rational Design of Earth-Abundant Catalysts toward Sustainability.

Catalysis is crucial for clean energy, green chemistry, and environmental remediation, but traditional methods rely on expensive and scarce precious metals. This review addresses this challenge by highlighting the promise of earth-abundant catalysts and the recent advancements in their rational design. Innovative strategies such as physics-inspired descriptors, high-throughput computational techniques, and artificial intelligence (AI)-assisted design with machine learning (ML) are explored, moving beyond time-consuming trial-and-error approaches. Additionally, biomimicry, inspired by efficient enzymes in nature, offers valuable insights. This review systematically analyses these design strategies, providing a roadmap for developing high-performance catalysts from abundant elements. Clean energy applications (water splitting, fuel cells, batteries) and green chemistry (ammonia synthesis, CO2 reduction) are targeted while delving into the fundamental principles, biomimetic approaches, and current challenges in this field. The way to a more sustainable future is paved by overcoming catalyst scarcity through rational design.

Common polygenic variation in the early medication change (EMC) cohort affects disorder risk, but not the antidepressant treatment response.

BACKGROUND: Given the great interest in identifying reliable predictors of the response to antidepressant drugs, the present study investigated whether polygenic scores (PGS) for Major Depressive Disorder (MDD) and antidepressant treatment response (ADR) were related to the complex trait of antidepressant response in the Early Medication Change (EMC) cohort. METHODS: In this secondary analysis of the EMC trial (N = 889), 481 MDD patients were included and compared to controls from a population-based cohort. Patients were treated over eight weeks within a pre-defined treatment-algorithm. We investigated patients' genetic variation associated with MDD and ADR, using PGS and examined the association of PGS with treatment outcomes (early improvement, response, remission). Additionally, the influence of two cytochrome P450 drug-metabolizing enzymes (CYP2C19, CYP2D6) was determined. RESULTS: PGS for MDD was significantly associated with disorder status (NkR2 = 2.48 %, p < 1*10-12), with higher genetic burden in EMC patients compared to controls. The PGS for ADR did not explain remission status. The PGS for MDD and ADR were also not associated with treatment outcomes. In addition, there were no effects of common CYP450 gene variants on ADR. LIMITATIONS: The study was limited by variability in the outcome parameters due to differences in treatment and insufficient sample size in the used ADR genome-wide association study (GWAS). CONCLUSIONS: The present study confirms a polygenic contribution to MDD burden in the EMC patients. Larger GWAS with homogeneity in antidepressant treatments are needed to explore the genetic variation associated with ADR and realize the potential of PGS to contribute to specific response subtypes.

Association between socioeconomic and psychosocial factors with use of interventional and surgical treatments and outcomes in patients with myocardial infarction - Inpatient data of the largest European health care system.

BACKGROUND: Myocardial infarction (MI) is an important driver of both morbidity and mortality on a global scale. Elucidating social inequalities may help to identify vulnerable groups as well as treatment imbalances and guide efforts to improve care for MI. METHODS: All hospitalized patient-cases with confirmed MI 2005-2020 in Germany were included in the study and stratified for socioeconomic or psychosocial factors (SPF) and the impact of SPF on treatment usage and adverse in-hospital events was analyzed. RESULTS: Overall, 4,409,597 hospitalizations of MI patients were included; of these, 17,297 (0.4 %) were coded with SPF. These patients were more often of female sex (49.4 % vs. 36.9 %, P<0.001), older (median 77.0 [IQR: 65.0-84.0] vs. 73.0 [62.0-81.0] years, P<0.001) and revealed an aggravated cardiovascular profile. Although SPF were independently associated with increased usage of cardiac catheterization (OR 1.174 [95 %CI 1.136-1.212]) and percutaneous coronary intervention (OR 1.167 [95 %CI 1.130-1.205]), they were accompanied by higher risk for a prolonged length of in-hospital stay >7 days (OR 1.236 [95 %CI 1.198-1.276]) and >10 days (OR 1.296 [95 %CI 1.254-1.339]). While SPF were associated with increased risk for deep venous thrombosis and/or thrombophlebitis (OR 1.634 [95 %CI 1.427-1.870]), pulmonary embolism (OR 1.337 [95 %CI 1.149-1.555]), and acute renal failure (OR 1.170 [95 %CI 1.105-1.240), these SPF were inversely associated with in-hospital case-fatality (OR 0.461 [95 %CI 0.433-0.490]). CONCLUSIONS: This study demonstrates that SPF in hospitalized MI patients have significant impacts on treatments and outcomes. Fortunately, our data did not revealed an underuse of interventional treatments in MI patients with SPF.

Deciphering immunodiffusion: In silico optimization for faster protein diagnostics.

Immunodiffusion tests offer a simple yet powerful method for detecting protein antigens, but their long assay times hinder clinical utility. We unveil the complex interplay of parameters governing this process using finite element simulations. By meticulously validating our model against real-world data, we elucidate how initial concentrations and diffusivities of antigen and antibody shape the intensity, size, and formation time of the precipitin ring. Our key innovation lies in employing phase diagram analysis to map the combined effects of these parameters on assay performance. This framework enables rapid in silico parameter estimation, paving the way for the design of novel immunodiffusion assays with drastically reduced assay times. The presented approach holds immense potential for optimizing protein diagnostics for fast and reliable diagnostics.

Digital interventions to promote psychological resilience: a systematic review and meta-analysis.

Societies are exposed to major challenges at an increasing pace. This underscores the need for preventive measures such as resilience promotion that should be available in time and without access barriers. Our systematic review summarizes evidence on digital resilience interventions, which have the potential to meet these demands. We searched five databases for randomized-controlled trials in non-clinical adult populations. Primary outcomes were mental distress, positive mental health, and resilience factors. Multilevel meta-analyses were performed to compare intervention and control groups at post-intervention and follow-up assessments. We identified 101 studies comprising 20,010 participants. Meta-analyses showed small favorable effects on mental distress, SMD = -0.24, 95% CI [-0.31, -0.18], positive mental health, SMD = 0.27, 95% CI [0.13, 0.40], and resilience factors, SMD = 0.31, 95% CI [0.21, 0.41]. Among middle-aged samples, older age was associated with more beneficial effects at follow-up, and effects were smaller for active control groups. Effects were comparable to those of face-to-face interventions and underline the potential of digital resilience interventions to prepare for future challenges.

The interplay between music engagement and affect: A random-intercept cross-lagged panel analysis.

Engagement with music has the capacity to influence and be influenced by affective experiences. Although cross-sectional and experimental research provides evidence that music engagement is related to higher positive and lower negative affect, few studies have investigated the bidirectional nature of this relationship over time. The present longitudinal study, therefore, examined the interplay between passive and active music engagement and affect using random-intercept cross-lagged panel analysis. Over 8 weeks in 2022, 428 participants regularly engaging with music completed weekly online surveys on quantitative music engagement (i.e., time spent with music listening/music making), qualitative music engagement (i.e., use of music listening/music making for mood regulation) as well as positive and negative affect. Results revealed cross-lagged associations between music engagement and negative affect, but not positive affect: regarding quantitative music engagement, more time spent with music listening (but not music making) was related to less negative affect than usual at the following measurement. Results on qualitative music engagement showed that weeks with more negative affect than usual were followed by an increased use of music listening and music making for mood regulation. Our findings emphasize the bidirectional nature of the relationship between music engagement and affect corroborating the significant role of music engagement in affect regulation. Future research should replicate these findings with a more diverse sample regarding age, sex, ethnicity, education, and socioeconomic status. Additionally, further studies could examine individual and contextual factors and adequate measurement time points for further investigation of bidirectional affective processes involved in music engagement. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Emergence of precursor instabilities in geo-processes: Insights from dense active matter.

We present the hypothesis that investigation of precursor mechanisms to large scale instabilities, that have so far been overlooked in geo-processes, is possible. These precursor processes are evident in multicomponent materials, such as granular matter, when driven far from equilibrium on its microscale. The material is then classified as "dense active matter" with unexpected behaviour by non-local dissipation of internal energy releasing its dynamic incompatibility with the macroscopic gradients as self-excitation waves under external forcing. These instabilities are known in solid mechanics as flutter instabilities, nucleating at what is more widely known as an "exceptional point" in a variety of systems when two or more eigenvalues of the system coalesce. The common principle to connect processes at and across their characteristic scales is investigated using a minimalist formulation by coupling the scalar field variables of solid and fluid pressures in a compacting porous medium. We present a multiphysics generalisation of the phenomenon to the exciting findings of fluctuations with oscillatory exponential growth which nucleate at the exceptional point for inception of complex conjugate eigenmodes and propose a rigorous theory based on the extension of Onsager's theorem to non-local processes. Future work will need to compare model predictions to carefully designed laboratory experiments and expand the work to bridge the scale of the laboratory to the scale of field applications including design of new sensors tuned for detecting exceptional points preceding collapse of materials.

Clozapine Serum Concentrations Are Disrupted by SARS-CoV-2 Vaccinations.

This paper reports the case of a 27-year-old man with paranoid schizophrenia who was finally stabilized on clozapine medication. After vaccination against severe acute respiratory syndrome coronavirus 2, serum levels of clozapine increased. It is well established that immune responses can trigger cytokine cascades affecting drug metabolism, which, in the case of clozapine treatment, can lead to severe intoxication.

Evidence for a shared genetic contribution to loneliness and borderline personality disorder.

Loneliness, influenced by genetic and environmental factors such as childhood maltreatment, is one aspect of interpersonal dysfunction in Borderline Personality Disorder (BPD). Numerous studies link loneliness and BPD and twin studies indicate a genetic contribution to this association. The aim of our study was to investigate whether genetic predisposition for loneliness and BPD risk overlap and whether genetic risk for loneliness contributes to higher loneliness reported by BPD patients, using genome-wide genotype data. We assessed the genetic correlation of genome-wide association studies (GWAS) of loneliness and BPD using linkage disequilibrium score regression and tested whether a polygenic score for loneliness (loneliness-PGS) was associated with case-control status in two independent genotyped samples of BPD patients and healthy controls (HC; Witt2017-sample: 998 BPD, 1545 HC; KFO-sample: 187 BPD, 261 HC). In the KFO-sample, we examined associations of loneliness-PGS with reported loneliness, and whether the loneliness-PGS influenced the association between childhood maltreatment and loneliness. We found a genetic correlation between the GWAS of loneliness and BPD in the Witt2017-sample (rg = 0.23, p = 0.015), a positive association of loneliness-PGS with BPD case-control status (Witt2017-sample: NkR² = 2.3%, p = 2.7*10-12; KFO-sample: NkR² = 6.6%, p = 4.4*10-6), and a positive association between loneliness-PGS and loneliness across patient and control groups in the KFO-sample (ß = 0.186, p = 0.002). The loneliness-PGS did not moderate the association between childhood maltreatment and loneliness in BPD. Our study is the first to use genome-wide genotype data to show that the genetic factors underlying variation in loneliness in the general population and the risk for BPD overlap. The loneliness-PGS was associated with reported loneliness. Further research is needed to investigate which genetic mechanisms and pathways are involved in this association and whether a genetic predisposition for loneliness contributes to BPD risk.

Prevalence of COVID-19 and Psychotropic Drug Treatment in Psychiatric In-patients in Germany in 2020: Results from a Nationwide Pilot Survey.

INTRODUCTION: In patients with a pre-existing mental disorder, an increased risk for a first manifestation of a psychiatric disorder in COVID-19 patients, a more severe course of COVID-19 and an increased mortality have been described. Conversely, observations of lower COVID-19 incidences in psychiatric in-patients suggested protective effects of psychiatric treatment and/or psychotropic drugs against COVID-19. METHODS: A retrospective multi-center study was conducted in 24 German psychiatric university hospitals. Between April and December 2020 (the first and partly second wave of COVID-19), the effects of COVID-19 were assessed on psychiatric in-patient care, the incidence and course of a SARS-CoV-2 infection, and treatment with psychotropic drugs. RESULTS: Patients (n=36,322) were admitted to the hospitals. Mandatory SARS-CoV-2 tests before/during admission were reported by 23 hospitals (95.8%), while 18 (75%) conducted regular testing during the hospital stay. Two hundred thirty-two (0.6%) patients were tested SARS-CoV-2-positive. Thirty-seven (16%) patients were receiving medical treatment for COVID-19 at the psychiatric hospital, ten (4.3%) were transferred to an intermediate/intensive care unit, and three (1.3%) died. The most common prescription for SARS-CoV-2-positive patients was for second-generation antipsychotics (n=79, 28.2%) and antidepressants (SSRIs (n=38, 13.5%), mirtazapine (n=36, 12.9%) and SNRIs (n=29, 10.4%)). DISCUSSION: Contrary to previous studies, our results showed a low number of infections and mortality in SARS-CoV-2-positive psychiatric patients. Several preventive measures seem effective to protect this vulnerable group. Our observations are compatible with the hypothesis of a protective effect of psychotropic drugs against COVID-19 as the overall mortality and need for specific medical treatment was low.

Resilience and depressive symptoms in inpatients with depression: A cross-lagged panel model.

BACKGROUND: Resilience-the ability to bounce back or quickly recover from stress-has been found to predict treatment outcome in patients with mental disorders such as depression. The current study aimed to test whether resilience itself changes during treatment and whether resilience exclusively predicts changes in depressive symptoms or whether depressive symptoms also predict changes in resilience. METHODS: Inpatients with depression (N = 2165; average length of stay M = 60 days, SD = 32) completed the Brief Resilience Scale and the Patient Health Questionnaire Depression Scale at admission and discharge, scores of which were used to run a cross-lagged panel model. RESULTS: Resilience increased and depressive symptoms decreased from admission to discharge. Cross-sectionally, higher resilience was related to lower depressive symptoms at admission and at discharge. Prospectively, higher resilience at admission predicted stronger decreases in depressive symptoms, and higher depressive symptoms at admission predicted smaller increases in resilience. LIMITATIONS: Self-report questionnaires may potentially be biased (e.g., through recall bias, social desirability, or demand effects). CONCLUSIONS: The current study further supports that resilience is related not only to fewer mental health problems cross-sectionally but also is sensitive to change and a predictor of treatment outcome in patients with mental disorders. Given this pivotal role in mental health, the current findings highlight the importance of prevention and intervention approaches for promoting resilience in the general population and in persons with mental disorders in particular.

[German S3 guidelines on borderline personality disorder]. / S3-Leitlinie Borderline-Persönlichkeitsstörung.

Research on the understanding and especially on the treatment of borderline personality disorder (borderline PD) has made considerable progress in recent years, so that evidence-based German treatment guidelines have now been produced for the first time. This article highlights the development as well as the main content priorities and recommendations of the guidelines: first, the recommendations on the diagnostics are presented and in this context the upcoming changes to the International Classification of Diseases 11th reversion (ICD-11) are also explained. Subsequently, the most important recommendations on guideline-compliant psychotherapy, pharmacotherapy and treatment settings are presented. Finally, the recommendations concerning relatives (or other significant persons for people with borderline PD) as well as parenthood and borderline PD are presented.

Psychological Resilience Factors and Their Association With Weekly Stressor Reactivity During the COVID-19 Outbreak in Europe: Prospective Longitudinal Study.

BACKGROUND: Cross-sectional relationships between psychosocial resilience factors (RFs) and resilience, operationalized as the outcome of low mental health reactivity to stressor exposure (low "stressor reactivity" [SR]), were reported during the first wave of the COVID-19 pandemic in 2020. OBJECTIVE: Extending these findings, we here examined prospective relationships and weekly dynamics between the same RFs and SR in a longitudinal sample during the aftermath of the first wave in several European countries. METHODS: Over 5 weeks of app-based assessments, participants reported weekly stressor exposure, mental health problems, RFs, and demographic data in 1 of 6 different languages. As (partly) preregistered, hypotheses were tested cross-sectionally at baseline (N=558), and longitudinally (n=200), using mixed effects models and mediation analyses. RESULTS: RFs at baseline, including positive appraisal style (PAS), optimism (OPT), general self-efficacy (GSE), perceived good stress recovery (REC), and perceived social support (PSS), were negatively associated with SR scores, not only cross-sectionally (baseline SR scores; all P<.001) but also prospectively (average SR scores across subsequent weeks; positive appraisal (PA), P=.008; OPT, P<.001; GSE, P=.01; REC, P<.001; and PSS, P=.002). In both associations, PAS mediated the effects of PSS on SR (cross-sectionally: 95% CI -0.064 to -0.013; prospectively: 95% CI -0.074 to -0.0008). In the analyses of weekly RF-SR dynamics, the RFs PA of stressors generally and specifically related to the COVID-19 pandemic, and GSE were negatively associated with SR in a contemporaneous fashion (PA, P<.001; PAC,P=.03; and GSE, P<.001), but not in a lagged fashion (PA, P=.36; PAC, P=.52; and GSE, P=.06). CONCLUSIONS: We identified psychological RFs that prospectively predict resilience and cofluctuate with weekly SR within individuals. These prospective results endorse that the previously reported RF-SR associations do not exclusively reflect mood congruency or other temporal bias effects. We further confirm the important role of PA in resilience.

Interrelations of resilience factors and their incremental impact for mental health: insights from network modeling using a prospective study across seven timepoints.

Resilience can be viewed as trajectory of stable good mental health or the quick recovery of mental health during or after stressor exposure. Resilience factors (RFs) are psychological resources that buffer the potentially negative effects of stress on mental health. A problem of resilience research is the large number of conceptually overlapping RFs complicating their understanding. The current study sheds light on the interrelations of RFs in the face of the COVID-19 pandemic as a use case for major disruptions. The non-preregistered prospective study assessed a sample of 1275 German-speaking people from February 2020 to March 2021 at seven timepoints. We measured coping, hardiness, control beliefs, optimism, self-efficacy, sense of coherence (SOC), sense of mastery, social support and dispositional resilience as RFs in February 2020, and mental health (i.e., psychopathological symptoms, COVID-19-related rumination, stress-related growth) at all timepoints. Analyses used partial correlation network models and latent growth mixture modeling (LGMM). Pre-pandemic RFs were strongly interrelated, with SOC being the most central node. The strongest associations emerged between coping using emotional support and social support, SOC and sense of mastery, and dispositional resilience and self-efficacy. SOC and active coping were negatively linked. When we examined RFs as predictors of mental health trajectories, SOC was the strongest predictor of psychopathological symptoms and rumination, while trajectories of stress-related growth were predicted by optimism. Subsequent network analyses, including individual intercepts and slopes from LGMM, showed that RFs had small to moderate associations with intercepts but were unrelated to slopes. Our findings provide evidence for SOC playing an important role in mental distress and suggest further examining SOC's incremental validity. However, our results also propose that RFs might be more important for stable levels of mental health than for adaptation processes over time. The differential associations for negative and positive outcomes support the use of multidimensional outcomes in resilience research.

World Health Organization's low-intensity psychosocial interventions: a systematic review and meta-analysis of the effects of Problem Management Plus and Step-by-Step.

Many societies have been recently exposed to humanitarian and health emergencies, which have resulted in a large number of people experiencing significant distress and being at risk to develop mental disorders such as depression, anxiety and post-traumatic stress disorder. The World Health Organization has released a series of scalable psychosocial interventions for people impaired by distress in communities exposed to adversities. Prominent among these is a low-intensity transdiagnostic psychosocial intervention, Problem Management Plus (PM+), and its digital adaptation Step-by-Step (SbS). This systematic review is the first to summarize the available evidence on the effects of PM+ and SbS. Up to March 8, 2023, five databases were searched for randomized controlled trials examining the effects of PM+ or SbS on distress indicators (i.e., general distress; anxiety, depressive or post-traumatic stress disorder symptoms; functional impairment, self-identified problems) and positive mental health outcomes (i.e., well-being, quality of life, social support/relationships). We performed random-effects multilevel meta-analyses on standardized mean differences (SMDs) at post-intervention and short-term follow-up assessments. Our search yielded 23 eligible studies, including 5,298 participants. We found a small to medium favorable effect on distress indicators (SMD=-0.45, 95% CI: -0.56 to -0.34) and a small beneficial effect on positive mental health outcomes (SMD=0.31, 95% CI: 0.14-0.47), which both remained significant at follow-up assessment and were robust in sensitivity analyses. However, our analyses pointed to substantial between-study heterogeneity, which was only partially explained by moderators, and the certainty of evidence was very low across all outcomes. These results provide evidence for the effectiveness of PM+ and SbS in reducing distress indicators and promoting positive mental health in populations exposed to adversities, but a larger high-quality evidence base is needed, as well as research on participant-level moderators of the effects of these interventions, their suitability for stepped-care programs, and their cost-effectiveness.