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In typical Dark Triad (DT) questionnaires, generic items oftentimes refer to "others" or "people" in general. Hence, respondents have to mentally aggregate their behavior across several kinds of "others" (e.g., work colleagues, family members, and friends). It remains unknown if individuals consider different kinds of interaction partners equally or if their self-reports contain "hidden" interaction partner-specific tendencies. To shed light on this issue, we assessed generic and contextualized DT items (referring to family, friends, work, and strangers; N = 814 from the general population). The correlated trait-correlated (method - 1) model was used to investigate preregistered research questions. On average, generic DT items showed the strongest association with work-contextualized DT items and the weakest association with family-contextualized DT items. However, the associations varied considerably across DT items and traits. In sum, our results suggest that hidden framings exist in some DT items, which may impact their ability to predict relevant criteria due to contextual (a)symmetries. The generalizability of the findings to other DT instruments, items, and participant groups should be examined in future research., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Objective: Depressive symptom dynamics, including change trajectories and symptom variability, have been related to therapy outcomes. However, such dynamics have often been examined separately and related to outcomes of interest using two-step analyses, which are characterized by several limitations. Here, we show how to overcome these limitations using location-scale models in a dynamic structural equation modeling framework., Method: We introduce location-scale modeling in an accessible manner to pave the way for its use in research integrating within-person dynamics and intervention-related change in psychopathology, and we illustrate this modeling approach in a large-scale internet-based intervention for depression ( N = 1,656). Using eight data points sampled across about 8 weeks, we predicted improvement across the intervention (50% symptom reduction) as a function of early change and symptom variability., Results: Early symptom change was associated with a more likely improvement across therapy. Variability of symptoms beyond change trajectories during the intervention was associated with less likely improvement., Conclusions: Location-scale models, and dynamic structural equation modeling more generally, are well suited to modeling how patterns of symptom change during psychotherapy are related to important (e.g., therapy) outcomes. Our illustrative application of location-scale modeling showed that symptom variability was associated with less overall improvement in depressive symptoms. However, this finding requires replication with more intensive sampling of symptoms before final conclusions can be drawn on when and how to distinguish maladaptive from adaptive variability during psychotherapy. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Background: Internet-based interventions produce comparable effectiveness rates as face-to-face therapy in treating depression. Still, more than half of patients do not respond to treatment. Machine learning (ML) methods could help to overcome these low response rates by predicting therapy outcomes on an individual level and tailoring treatment accordingly. Few studies implemented ML algorithms in internet-based depression treatment using baseline self-report data, but differing results hinder inferences on clinical practicability. This work compares algorithms using features gathered at baseline or early in treatment in their capability to predict non-response to a 6-week online program targeting depression., Methods: Our training and test sample encompassed 1270 and 318 individuals, respectively. We trained random forest algorithms on self-report and process features gathered at baseline and after 2 weeks of treatment. Non-responders were defined as participants not fulfilling the criteria for reliable and clinically significant change on PHQ-9 post-treatment. Our benchmark models were logistic regressions trained on baseline PHQ-9 sum or PHQ-9 early change, using 100 iterations of randomly sampled 80/20 train-test-splits., Results: Best performances were reached by our models involving early treatment characteristics (recall: 0.75-0.76; AUC: 0.71-0.77). Therapeutic alliance and early symptom change constituted the most important predictors. Models trained on baseline data were not significantly better than our benchmark., Conclusions: Fair accuracies were only attainable by involving information from early treatment stages. In-treatment adaptation, instead of a priori selection, might constitute a more feasible approach for improving response when relying on easily accessible self-report features. Implementation trials are needed to determine clinical usefulness.

Background: Refugee populations have an increased risk for mental disorders, such as depression, anxiety, and posttraumatic stress disorders. Comorbidity is common. At the same time, refugees face multiple barriers to accessing mental health treatment. Only a minority of them receive adequate help. The planned trial evaluates a low-threshold, transdiagnostic Internet-based treatment. The trial aims at establishing its efficacy and cost-effectiveness compared with no treatment., Methods: N = 131 treatment-seeking Arabic- or Farsi-speaking patients, meeting diagnostic criteria for a depressive, anxiety, and/or posttraumatic stress disorder will be randomized to either the intervention or the waitlist control group. The intervention group receives an Internet-based treatment with weekly written guidance provided by Arabic- or Farsi-speaking professionals. The treatment is based on the Common Elements Treatment Approach (CETA), is tailored to the individual patient, and takes 6-16 weeks. The control group will wait for 3 months and then receive the Internet-based treatment., Discussion: The planned trial will result in an estimate of the efficacy of a low-threshold and scalable treatment option for the most common mental disorders in refugees., Trial Registration: German Registry for Clinical Trials DRKS00024154. Registered on February 1, 2021., (© 2023. The Author(s).)

Symmetrical bifactor models are frequently applied to diverse symptoms of psychopathology to identify a general P factor. This factor is assumed to mark shared liability across all psychopathology dimensions and mental disorders. Despite their popularity, however, symmetrical bifactor models of P often yield anomalous results, including but not limited to nonsignificant or negative specific factor variances and nonsignificant or negative factor loadings. To date, these anomalies have often been treated as nuisances to be explained away. In this article, we demonstrate why these anomalies alter the substantive meaning of P such that it (a) does not reflect general liability to psychopathology and (b) differs in meaning across studies. We then describe an alternative modeling framework, the bifactor-( S -1) approach. This method avoids anomalous results, provides a framework for explaining unexpected findings in published symmetrical bifactor studies, and yields a well-defined general factor that can be compared across studies when researchers hypothesize what construct they consider "transdiagnostically meaningful" and measure it directly. We present an empirical example to illustrate these points and provide concrete recommendations to help researchers decide for or against specific variants of bifactor structure.

Objective: Applying elements of cognitive behavioral therapy (CBT) in internet-based interventions (IBIs) is effective in treating depression. However, CBT-based IBIs differ in which kind of components are applied and the order of their application. Furthermore, it is as yet unknown whether such sequencing matters. Using an IBI for depression, we examined whether the sequence of two major CBT components, behavioral activation (BA) and cognitive restructuring (CR), affect patterns of symptom changes and dropout rates., Method: Individuals with moderate to mild depressive symptoms ( N = 2,304, 59% female) were randomly assigned to two groups: one group that received BA in Modules 2 and 3 and CR in Modules 4 and 5, and another group with the opposite sequence. The component contents were identical. We investigated group differences in dropout rates, symptom changes, and change trajectories across the intervention., Results: The groups had similar dropout rates and showed similar changes pre- to postassessment, and from pre- to 3-, 6-, and 12-month follow-up assessments. Between-group differences were small enough to be considered equivalent. Three classes of change trajectories emerged in both groups, but they did not differ in shape or size and did not show diverging associations with person-level characteristics., Conclusions: Results suggest that the sequence of the CBT components BA and CR in IBIs for depression does, on average, not systematically impact how individuals change during and after participation, which provides flexibility in designing CBT-based interventions. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Background: In blended therapy, face-to-face psychotherapy and Internet-based interventions are combined. Blended therapy may be advantageous for patients and psychotherapists. However, most blended interventions focus on cognitive behavioral therapy or single disorders, making them less suitable for routine care settings., Methods: In a randomized controlled trial, we will compare blended therapy and face-to-face therapy in routine care. We intend to randomize 1152 patients nested in 231 psychotherapists in a 1:1 ratio. Patients in the blended therapy group will receive access to a therapeutic online intervention (TONI). TONI contains 12 transdiagnostic online modules suited for psychodynamic, cognitive behavioral, and systemic therapy. Psychotherapists decide which modules to assign and how to integrate TONI components into the psychotherapeutic process to tailor treatment to their patients' specific needs. We will assess patients at baseline, 6 weeks, 12 weeks, and 6 months. Patients enrolled early in the trial will also complete assessments at 12 months. The primary outcomes are depression and anxiety at 6-month post-randomization, as measured by PHQ-8 and GAD-7. The secondary outcomes include satisfaction with life, level of functioning, personality traits and functioning, eating pathology, sexual problems, alcohol/drug use, satisfaction with treatment, negative effects, and mental health care utilization. In addition, we will collect several potential moderators and mediators, including therapeutic alliance, agency, and self-efficacy. Psychotherapists will also report on changes in symptom severity and therapeutic alliance. Qualitative interviews with psychotherapists and patients will shed light on the barriers and benefits of the blended intervention. Furthermore, we will assess significant others of enrolled patients in a sub-study., Discussion: The integration of online modules which use a common therapeutic language and address therapeutic principles shared across therapeutic approaches into regular psychotherapy has the potential to improve the effectiveness of psychotherapy and transfer it into everyday life as well help save therapists' resources and close treatment gaps. A modular and transdiagnostic setup of the blended intervention also enables psychotherapists to tailor their treatment optimally to the needs of their patients., Trial Registration: German Clinical Trials Register (DRKS) DRKS00028536. Registered on 07.06.2022., (© 2022. The Author(s).)

An increasing number of studies is proving the efficacy of Internet-based interventions (IBI) for treating depression. While the focus of most studies is thereby lying on the potential of IBI to alleviate emotional distress and enhance well-being, few studies are investigating possible negative effects that might be encountered by participants. The current study was therefore exploring self-reported negative effects of participants undergoing a cognitive-behavioral IBI targeting mild to moderate depression over 6 weeks. Data from the client pool of a German insurance company ( n  = 814, 68% female) revealed that 8.6% of the participants reported the experience of negative effects. Qualitative content analysis yielded two broad categories and five subcategories for the nature of participants' experiences of negative effects: participant-related negative effects (insight and symptom) and program-related negative effects (online format, contact, and implementation). By using both, qualitative and quantitative methods, results did not only shed light on the characteristics of negative effects but analyses also found that working alliance was a predictor for the experience of negative effects. Monitoring the occurrences of negative effects as well as working alliance throughout treatment was considered essential to help prevent negative effects and attrition among participants undergoing IBI for depression., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2021 The Authors. Published by Elsevier B.V.)

Background: Internet-based cognitive-behavioural interventions seem to be effective for the treatment of posttraumatic stress disorder (PTSD) in Arabic-speaking countries in the MENA region. However, due to high prevalence rates of trauma-related mental disorders in this region, it is important to scale up existing Internet-based interventions in order to increase the number of clients., Objective: The aim of the study was to examine whether a brief Internet-based intervention with one cognitive technique (TF-short, 6 assignments) results in the same PTSD symptom change and lower dropouts compared to a longer intervention with two cognitive techniques (TF-reg, 10 assignments)., Method: A total of 224 Arab participants (67.4% female; M = 25.3 years old) with PTSD were randomly assigned to Internet-based CBT with either a TF-reg protocol ( n  = 110) or a TF-short protocol ( n  = 114). Symptoms of PTSD and secondary outcomes (anxiety, depression, somatic complaints, quality of life) were self-assessed online at baseline and post-treatment. Treatment-associated changes were estimated using multigroup latent difference score models., Results: The overall PTSD score assessed with the PDS decreased by about 15 points in both conditions. The between-group differences (TF-reg vs. TF-short) at post-assessment were non-significant, Δ = 0.29, p = .896, d = 0.02, 95% CI [-0.30, 0.34]. Like the primary outcome, all within-group changes for the secondary outcomes throughout the intervention were statistically significant and all between-group effects were non-significant. Overall, the dropout rates did not differ between the two conditions, χ2 (1/ N  = 175) = 0.83, p = .364., Conclusions: The findings suggest that the shorter condition results in the same symptom change and dropout rate as the longer condition. This highlights the potential of shorter, more scalable Internet-based interventions in socially restricted and (post-)conflict societies., Clinicaltrialsgov Id: NCT01508377., Competing Interests: No potential conflict of interest was reported by the author(s)., (© 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.)

Background: Internet cognitive behavioural therapy (iCBT) is a viable delivery format of CBT for depression. However, iCBT programmes include training in a wide array of cognitive and behavioural skills via different delivery methods, and it remains unclear which of these components are more efficacious and for whom., Methods: We did a systematic review and individual participant data component network meta-analysis (cNMA) of iCBT trials for depression. We searched PubMed, PsycINFO, Embase, and the Cochrane Library for randomised controlled trials (RCTs) published from database inception to Jan 1, 2019, that compared any form of iCBT against another or a control condition in the acute treatment of adults (aged ≥18 years) with depression. Studies with inpatients or patients with bipolar depression were excluded. We sought individual participant data from the original authors. When these data were unavailable, we used aggregate data. Two independent researchers identified the included components. The primary outcome was depression severity, expressed as incremental mean difference (iMD) in the Patient Health Questionnaire-9 (PHQ-9) scores when a component is added to a treatment. We developed a web app that estimates relative efficacies between any two combinations of components, given baseline patient characteristics. This study is registered in PROSPERO, CRD42018104683., Findings: We identified 76 RCTs, including 48 trials contributing individual participant data (11 704 participants) and 28 trials with aggregate data (6474 participants). The participants' weighted mean age was 42·0 years and 12 406 (71%) of 17 521 reported were women. There was suggestive evidence that behavioural activation might be beneficial (iMD -1·83 [95% credible interval (CrI) -2·90 to -0·80]) and that relaxation might be harmful (1·20 [95% CrI 0·17 to 2·27]). Baseline severity emerged as the strongest prognostic factor for endpoint depression. Combining human and automated encouragement reduced dropouts from treatment (incremental odds ratio, 0·32 [95% CrI 0·13 to 0·93]). The risk of bias was low for the randomisation process, missing outcome data, or selection of reported results in most of the included studies, uncertain for deviation from intended interventions, and high for measurement of outcomes. There was moderate to high heterogeneity among the studies and their components., Interpretation: The individual patient data cNMA revealed potentially helpful, less helpful, or harmful components and delivery formats for iCBT packages. iCBT packages aiming to be effective and efficient might choose to include beneficial components and exclude ones that are potentially detrimental. Our web app can facilitate shared decision making by therapist and patient in choosing their preferred iCBT package., Funding: Japan Society for the Promotion of Science., Competing Interests: Declaration of interests TAF reports grants from Japan Society for Promotion of Science, during the conduct of the study; grants and personal fees from Mitsubishi-Tanabe, personal fees from MSD, grants and personal fees from Shionogi, outside the submitted work; a patent 2018-177688 concerning smartphone CBT apps pending; and an intellectual properties for Kokoro-app licensed to Tanabe-Mitsubishi. AC reports personal fees from Italian Network for Paediatric Trials and CARIPLO Foundation; and grants and personal fees from Angelini Pharma, outside the submitted work. EGO reports personal fees from Angelini Pharma, outside the submitted work. PCa reports personal fees from Osmond Foundation and Sandoz, outside the submitted work. JD is co-owner of Behavioral Activation Tech LLC, a small business that develops and evaluates mobile app-based treatments for depression and co-occurring disorders. DDE has served as a consultant to or on the scientific advisory boards of Sanofi, Novartis, Minddistrict, Lantern, Schoen Kliniken, Ideamed, German health insurance companies (BARMER, Techniker Krankenkasse), and a number of federal chambers for psychotherapy; is a stakeholder of the Institute for health training online (GET.ON), which aims to implement scientific findings related to digital health interventions into routine care. NRF is an employee of AbleTo. JPK reports grants and personal fees from Servier; personal fees from Beltz, Elsevier, Hogrefe, and Springer, outside the submitted work; funding for clinical trials (German Federal Ministry of Health and Servier); payments for presentations on internet interventions (Servier); and payments for workshops and books (Beltz, Elsevier, Hogrefe, and Springer) on psychotherapy for chronic depression and on psychiatric emergencies. BM is an employee of GAIA AG. DCM reports personal fees from Apple, Pear Therapeutics, and Otsuka Pharmaceuticals and has an equity interest in Adaptive Health, outside the submitted work. JMM is supported by a Wellcome Trust Grant (104908/Z/14/Z). SN is an employee of GET.ON Institut. DR is an employee of SilverCloud Health. LBS is an employee of Influents Innovations. PZ reports grants and non-financial support from Techniker Krankenkasse (German public health insurance company), outside the submitted work. CK reports personal fees from Oberbergklinik and Servier; and grants and non-financial support from Techniker Krankenkasse, outside the submitted work. MH reports grants and non-financial support from Techniker Krankenkasse, outside the submitted work. All other authors declare no competing interests., (Copyright © 2021 Elsevier Ltd. All rights reserved.)

Importance: Personalized treatment choices would increase the effectiveness of internet-based cognitive behavioral therapy (iCBT) for depression to the extent that patients differ in interventions that better suit them., Objective: To provide personalized estimates of short-term and long-term relative efficacy of guided and unguided iCBT for depression using patient-level information., Data Sources: We searched PubMed, Embase, PsycInfo, and Cochrane Library to identify randomized clinical trials (RCTs) published up to January 1, 2019., Study Selection: Eligible RCTs were those comparing guided or unguided iCBT against each other or against any control intervention in individuals with depression. Available individual patient data (IPD) was collected from all eligible studies. Depression symptom severity was assessed after treatment, 6 months, and 12 months after randomization., Data Extraction and Synthesis: We conducted a systematic review and IPD network meta-analysis and estimated relative treatment effect sizes across different patient characteristics through IPD network meta-regression., Main Outcomes and Measures: Patient Health Questionnaire-9 (PHQ-9) scores., Results: Of 42 eligible RCTs, 39 studies comprising 9751 participants with depression contributed IPD to the IPD network meta-analysis, of which 8107 IPD were synthesized. Overall, both guided and unguided iCBT were associated with more effectiveness as measured by PHQ-9 scores than control treatments over the short term and the long term. Guided iCBT was associated with more effectiveness than unguided iCBT (mean difference [MD] in posttreatment PHQ-9 scores, -0.8; 95% CI, -1.4 to -0.2), but we found no evidence of a difference at 6 or 12 months following randomization. Baseline depression was found to be the most important modifier of the relative association for efficacy of guided vs unguided iCBT. Differences between unguided and guided iCBT in people with baseline symptoms of subthreshold depression (PHQ-9 scores 5-9) were small, while guided iCBT was associated with overall better outcomes in patients with baseline PHQ-9 greater than 9., Conclusions and Relevance: In this network meta-analysis with IPD, guided iCBT was associated with more effectiveness than unguided iCBT for individuals with depression, benefits were more substantial in individuals with moderate to severe depression. Unguided iCBT was associated with similar effectiveness among individuals with symptoms of mild/subthreshold depression. Personalized treatment selection is entirely possible and necessary to ensure the best allocation of treatment resources for depression.

The Beck Depression Inventory-II is one of the most frequently used scales to assess depressive burden. Despite many psychometric evaluations, its factor structure is still a topic of debate. An increasing number of articles using fully symmetrical bifactor models have been published recently. However, they all produce anomalous results, which lead to psychometric and interpretational difficulties. To avoid anomalous results, the bifactor-(S-1) approach has recently been proposed as alternative for fitting bifactor structures. The current article compares the applicability of fully symmetrical bifactor models and symptom-oriented bifactor-(S-1) and first-order confirmatory factor analysis models in a large clinical sample ( N = 3,279) of adults. The results suggest that bifactor-(S-1) models are preferable when bifactor structures are of interest, since they reduce problematic results observed in fully symmetrical bifactor models and give the G factor an unambiguous meaning. Otherwise, symptom-oriented first-order confirmatory factor analysis models present a reasonable alternative.

Research suggests 4 categories of outcome predictors in face-to-face therapy (i.e., treatment expectations, extratherapeutic factors, relationship factors, and factors specific to a treatment approach/technique). However, it is unclear whether these factors are relevant in standardized and individualized Internet-based interventions. To investigate this question, a secondary analysis of data from 1,089 mildly to moderately depressed adults undergoing 6 weeks of cognitive-behavioral Internet-based intervention for depression randomized to receive either weekly written feedback individualized by a counselor or automated and fully standardized feedback was performed. The following variables corresponding to the 4 categories were tested regarding associations with depressive symptom change during multiple treatment periods within a multigroup structural equation model: (a) outcome expectations, (b) extratherapeutic stressors and stress change during treatment, (c) midtreatment working alliance (task/goal and bond), and (d) uptake of treatment-specific components (logins and specific tool use). Results suggest similar regressive associations across treatment conditions: Previous symptom change was the most important predictor for subsequent symptom developments. Stress at baseline and the uptake of specific treatment components only played a minor role, and stronger task/goal ratings were associated with later symptom improvements. Early symptom improvements predicted stronger midtreatment task/goal and bond ratings, whereas only stronger task/goal ratings were associated with later symptom improvements. Outcome expectations were only indirectly related with symptom change mediated through goal/task ratings. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Background: Standardized and individualized Internet-based interventions (IBI) for depression yield significant symptom improvements. However, change patterns during standardized or individualized IBI are unknown. Identifying subgroups that experience different symptom courses during IBI and their characteristics is vital for improving response., Methods: Mildly to moderately depressed individuals according to self-report (N = 1,089) were randomized to receive module-wise feedback that was either standardized or individualized by a counselor within an otherwise identical cognitive-behavioral IBI for depression (seven modules over six weeks). Depressive symptoms were assessed at baseline and before each module (Patient Health Questionnaire; PHQ-9). Other individual characteristics (self-report) and the presence of an affective disorder (structured clinical interview) were assessed at baseline. Growth mixture modeling was used to identify and compare subgroups with discernable change patterns and associated client variables across conditions., Results: Model comparisons suggest equal change patterns in both conditions. Across conditions, a group of immediate (62.5%) and a group of delayed improvers (37.5%) were identified. Immediate improvers decreased their PHQ-9 score by 5.5 points from pre to post, with 33% of improvement occurring before treatment commenced. Delayed improvers were characterized by stable symptom severity during the first two modules and smaller overall symptom decrease (3.4 points). Higher treatment expectations, a current major depressive disorder (interview), and lower social support were associated with delayed improvement., Conclusion: Internet-based interventions for depression with individualized and with standardized feedback lead to comparable patterns of change. Expectation management and bolstering of social support are promising strategies for individuals that are at risk for delayed improvement., (© 2019 The Authors. Brain and Behavior published by Wiley Periodicals, Inc.)

The theory of reasoned action (ToRA) has been proposed as a framework for cyberbullying prevention design, targeting attitudes and norms. In this study effects of a long (10 weekly sessions) and a short (one day, four sessions) cyberbullying prevention program based on the ToRA were compared with a control group over 9 months. Longitudinal data from 722 students (mean age = 13.36) on cyberbullying, somatic symptoms, attitudes, and norms were analyzed within a structural equation model. Participation in the long intervention group significantly reduced cyberbullying (d = -0.584) and somatic symptoms (d = -0.316). No between-group differences emerged for attitudes and norms. Developmental trajectories and associations were found to be as suggested by ToRA in both cross-sectional and change-score analyses., (© 2018 Society for Research on Adolescence.)

Initial studies have presented the Music-based Scale for Autism Diagnostics (MUSAD) as a promising DSM-5-based observational tool to identify autism spectrum disorder (ASD) in adults with intellectual disability (ID). The current study is the first to address its clinical utility in a new sample of 124 adults with ID (60.5% diagnosed with ASD). The derived diagnostic algorithm differentiated well between individuals with and without ASD (sensitivity 79%, specificity 74%, area under the curve = 0.81). Inter-rater reliability, assessed by the scorings of four independent experts in 22 consensus cases, was excellent (ICC = 0.92). Substantial correlations with scores from other ASD-specific measures indicated convergent validity. The MUSAD yields accurate and reliable scores, supporting comprehensive ASD diagnostics in adults with ID.

Objective: Collation of frequencies and clinical characteristics of autism spectrum disorders (ASD) in persons with intellectual disability (ID)., Methods: Cross-sectional analysis of a clinical psychiatric sample of 710 adults with ID and mental disorders., Results: The frequency of ASD in an adult sample with ID was 19%. The occurrence of ASD was associated with a higher severity of ID, male gender (in mild to moderate ID), anticonvulsive therapy and reduced employment rates in workshops., Conclusion: The ASD are a frequent clinical diagnosis in adults with ID.

Background: In persons with intellectual and developmental disabilities, not only cognitive brain functions, but also socio-emotional processing networks may be impaired. This study aims to validate the Scale of Emotional Development-Short (SED-S) to provide an instrument for the assessment of socio-emotional brain functions., Method: The SED-S was applied in 160 children aged 0-12 years. Criterion validity was investigated at item and scale level in terms of the agreement between the scale classification and the child's chronological age. Additionally, interrater reliability and internal consistency were assessed., Results: For the majority of items, the expected response pattern emerged, showing the highest response probabilities in the respective target age groups. Agreement between the classification of the different SED-S domains and chronological age was high (κw = 0.95; exact agreement = 80.6%). Interrater reliability at domain level ranged from κw = .98 to 1.00 and internal consistency was high (α = .99)., Conclusion: The study normed the SED-S in a sample of typically developing children and provides evidence for criterion validity on item, domain and scale level., Competing Interests: Tanja Sappok receives royalties for books about the developmental approach and the manual of the SED-S published by Hogrefe. This does not alter our adherence to PLOS ONE policies on sharing data and materials.

Background: Exposure is an effective intervention in the treatment of pathological anxiety, but it is insufficiently disseminated. Therapists' negative attitudes towards exposure might be of relevance when considering factors contributing to the non-application of this intervention., Aims: In order to be able to measure concerns in German-speaking therapist populations, the study aimed at validating a German version of the Therapist Beliefs about Exposure Scale., Method: The scale was translated into the German language and validated in a sample of 330 German licensed cognitive behavioural therapists., Results: In the present sample, the mean total score was significantly lower than in the original study including US-American therapists. Confirmatory factor analysis did not confirm the proposed one-factor model, while the exploratory factor analysis indicated that more than one factor is necessary to explain the structure of negative attitudes towards exposure. The internal consistency was high. Higher scores (more negative beliefs) were significantly correlated with older age, holding a master's degree (vs PhD), not being specialized in the treatment of anxiety disorders and with less experience with performance of exposure gained during clinical training. Negative beliefs about exposure were further associated with the self-reported average number of sessions spent on exposure in current treatment of post-traumatic stress disorder and panic disorder, and with negative attitudes towards application of exposure sessions presented in case vignettes., Conclusions: The German adaptation provides the opportunity of measuring concerns regarding application of exposure in German-speaking therapist populations. However, the presented data reveal suggestions for further scale development.

Introduction: This study aimed to assess the prevalence and clinical characteristics of dementia in a clinical sample of adults with Down syndrome. Consequences for clinical practice were deduced., Methods: Patient characteristics and prevalence rates of dementia were evaluated in adults with Down syndrome who were admitted to psychiatry from 2005 to 2012 (N = 75)., Results: In every third patient with Down syndrome, dementia was diagnosed in a second assessment 6 to 12 months after initial hospital admission. Patients with dementia were older and more often female, while no association was found with the level of intellectual disability. Thyroid function and calcium values were often abnormal in those with and without dementia., Discussion: In persons with Down syndrome, dementia is a prevalent cause for admission to psychiatry, especially in females and those of advanced age. Services should be adapted to the increased demands., Competing Interests: Die Autoren erklären, dass kein Interessenkonflikt besteht., (© Georg Thieme Verlag KG Stuttgart · New York.)

The study assessed the diagnostic validity of the diagnostic behavioral assessment for autism spectrum disorders-revised (DiBAS-R; 19-item screening scale based on ratings by caregivers) in a clinical sample of 381 adults with ID. Analysis revealed a sensitivity of 0.82 and a specificity of 0.67 in the overall sample (70.3% agreement). Sensitivity (0.79) and specificity (0.84) were balanced in individuals with mild to moderate ID (83.3% agreement), while specificity was lower in individuals with severe to profound ID (sensitivity: 0.83, specificity: 0.34, 51% agreement). The level of ID as well as its interaction with ASD explained a significant proportion of the variance in the DiBAS-R scores. The DiBAS-R is an adequate screening tool, especially in individuals with mild to moderate ID.

Background: Even though there is an increasing number of studies on the efficacy of Internet-based interventions (IBI) for depression, experimental trials on the benefits of added guidance by clinicians are scarce and inconsistent. This study compared the efficacy of semistandardized feedback provided by psychologists with fully standardized feedback in IBI., Methods: Participants with mild-to-moderate depression (n = 1,089, 66% female) from the client pool of a health insurance company participated in a cognitive-behavioral IBI targeting depression over 6 weeks. Individuals were randomized to weekly semistandardized e-mail feedback from psychologists (individual counseling; IC) or to automated, standardized feedback where a psychologist could be contacted on demand (CoD). The contents and tasks were identical across conditions. The primary outcome was depression; secondary outcomes included anxiety, rumination, and well-being. Outcomes were assessed before and after the intervention and 3, 6, and 12 months later. Changes in outcomes were evaluated using latent change score modeling., Results: Both interventions yielded large pre-post effects on depression (Beck Depression Inventory-II: dIC = 1.53, dCoD = 1.37; Patient Health Questionnaire-9: dIC = 1.20, dCoD = 1.04), as well as significant improvements of all other outcome measures. The effects remained significant after 3, 6, and 12 months. The groups differed with regard to attrition (IC: 17.3%, CoD: 25.8%, p = 0.001). Between-group effects were statistically nonsignificant across outcomes and measurement occasions., Conclusion: Adding semistandardized guidance in IBI for depression did not prove to be more effective than fully standardized feedback on primary and secondary outcomes, but it had positive effects on attrition., (© 2018 S. Karger AG, Basel.)

Autism spectrum disorder (ASD) frequently co-occurs with intellectual disability (ID) and often remains undiagnosed until adulthood. The Social Communication Questionnaire (SCQ) is a widely used measure to screen for ASD. To improve the utility of the SCQ for adults with ID, the aim of this study was to develop an ID-specific and adult appropriate algorithm for the SCQ using a core set of valid items. These items were identified in one sample (N = 226) and further cross-validated in a second, independent sample (N = 225) from Germany, England and the U.S. The newly developed algorithm has 24 items compared with the 40 items in the original instrument. The reduced item core set yielded similar diagnostic validity as the original algorithm with good sensitivity values (0.81-0.89) and low specificity values (0.62-0.72). Overall, these results suggest that the removed items may not carry diagnostically relevant information in adults with ID; thus, excluding these items may result in a more efficient and age-appropriate screening measure for this population. However, due to the low specificity values, a comprehensive assessment is essential for a final diagnostic assignment. Autism Res 2017, 10: 1481-1490. © 2017 International Society for Autism Research, Wiley Periodicals, Inc., (© 2017 International Society for Autism Research, Wiley Periodicals, Inc.)

Background: Exposure to trauma and bereavement is common in conflict-affected regions. Previous research suggests considerable heterogeneity in responses to trauma and loss with varying symptom representations. The purpose of the current study was to (1) identify classes of prolonged grief disorder (PGD) and posttraumatic stress disorder (PTSD) symptom profiles among individuals who were exposed to both trauma and loss due to the Colombian armed conflict and (2) to examine whether sociodemographic, loss and trauma-related characteristics could predict class membership., Methods: Three hundred eight victims of internal displacement who had experienced trauma and loss were assessed through measures of PGD (PG-13), PTSD (PCL-C), and social support (DUKE-UNC). Latent class analysis (LCA) was performed to analyze differential profiles by symptoms of PGD and PTSD and multinomial logistic regression was used to analyze predictors of class membership., Results: LCA revealed a four-class solution: a resilient class (23.6%), a PTSD-class (23.3%), a predominately PGD class (25.3%) and a high distress-class with overall high values of PGD and PTSD (27.8%). Relative to the resilient class, membership to the PGD class was predicted by the loss of a close family member and the exposure to a higher number of assaultive traumatic events, whereas membership to the PTSD class was predicted by the perception of less social support. Compared to the resilient class, participants in the high distress-class were more likely to be female, to have lost a close relative, experienced more accidental and assaultive traumatic events, and perceived less social support., Discussion: Specific symptom profiles emerged following exposure to trauma and loss within the context of the Colombian armed conflict. Profiles were associated with distinct types of traumatic experiences, the degree of closeness to the person lost, the amount of social support perceived, and gender. The results have implications for identifying distressed subgroups and informing interventions in accordance with the patient's symptom profile.

Diagnosing Autism Spectrum Disorders (ASD) is important throughout the lifespan. The objective was to investigate the transcultural diagnostic validity of the Social Communication Questionnaire (SCQ) in a clinical sample of 451 adults with Intellectual Developmental Disorder (IDD) with and without ASD in Germany, the U.S.A. and Great Britain. Variables associated with higher SCQ sum-scores were higher levels of IDD, male gender, a diagnosis of ASD and the study site (Germany > U.S.A > G.B.). An ROC analysis revealed a cut-score of 13, which resulted in a sensitivity of 0.87 and a specificity of 0.58. It is recommended to adjust the cut-score according to level of IDD and gender. Further research is needed to align diagnostic assignment of ASD across different sites and countries.

Background: Intellectual disability (ID) is often accompanied by delays in emotional development (ED) that may result in challenging behavior. Insight into emotional functioning is crucial for appropriate diagnostic assessment in adults with ID. However, few standardized assessment instruments are available., Aims: The aim of this study was to develop a short, psychometrically sound instrument for assessing levels of ED in individuals with ID: The Scale of Emotional Development - Short (SED-S), which can be applied to adults., Methods and Procedures: The Scale for ED - Revised 2 (SED-R 2 ) was taken as a point of departure. In a first step, the validity and observability of the items (N=556) in the SED-R 2 were assessed by 30 experts from Germany, Belgium, and The Netherlands. The SED-S was then constituted in a consecutive consensus process, in which items to be included were selected based on their assessments and subsequently rephrased, and in which the structure and method of administering the new scale were agreed upon., Outcomes and Results: The SED-S consists of 200 binary items describing five levels of emotional functioning (reference ages: 0-12 years) within eight domains: Relating to His/Her Own Body, Relating to Significant Others, Dealing with Change - Object Permanence, Differentiating Emotions, Relating to Peers, Engaging with the Material World, Communicating with Others, and Regulating Affect., Conclusions and Implications: The SED-S offers an empirical-based, practical tool to assessing ED in adults with ID. Further research will be needed to meet the requirements of a standardized diagnostic instrument., (Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Unlabelled: The MUSAD was developed as a diagnostic observational instrument in an interactional music framework. It is based on the ICD-10/DSM-5 criteria for autism spectrum disorder (ASD) and was designed to assess adults on a lower level of functioning, including individuals with severe language impairments. This study aimed to evaluate the psychometric properties of the newly developed instrument., Methods: Calculations were based on a consecutive clinical sample of N=76 adults with intellectual and developmental disabilities (IDD) suspected of ASD. Objectivity, test-retest reliability, and construct validity were calculated and a confirmatory factor analysis was applied to verify a reduced and optimized test version., Results: The structural model showed a good fit, while internal consistency of the subscales was excellent (ω>.92). Item difficulties ranged between .04≤pi≤.82 and item-total correlation from .21 to .85. Objectivity was assessed by comparing the scorings of two external raters based on a subsample of n=12; interrater agreement was .71 (ICC 2, 1). Reliability was calculated for four test repetitions: the average ICC (3, 1) was .69. Convergent ASD measures correlated significantly with the MUSAD, while the discriminant Modified Overt Aggression Scale (MOAS) showed no significant overlap., Conclusion: Confirmation of factorial structure and acceptable psychometric properties suggest that the MUSAD is a promising new instrument for diagnosing ASD in adults with IDD., (Copyright © 2015 Elsevier Ltd. All rights reserved.)

Background: Delirium is a common complication in elderly hospitalized patients. It prolongs the length of hospital stay, raises costs, increases the workload of the nursing staff, and may necessitate transfer of the patient to a nursing home. The risk of postoperative delirium is particularly high in elderly patients with pre-existing cognitive deficits., Methods: In an open study, we systematically assessed the frequency of postoperative delirium in patients over age 70 on two surgical wards of a general hospital. In a six-month "prevalence phase," from March to August 2011, we counted the number of patients with postoperative delirium, but did not initiate any intervention. Thereafter, in a ten-month "intervention phase" from September 2011 to June 2012, a nurse with special training in the management of delirium carried out an intervention involving component measures of the Hospital Elder Life Program (HELP) on one of the two wards, with the aim of preventing postoperative delirium. The patients on the other ward served as a control group., Results: In the prevalence phase, 20.2% of all patients developed postoperative delirium (95% confidence interval [CI], 14.6-26.4). In the intervention phase, postoperative delirium arose in 20.8% (95% CI, 11.3-32.1) of the patients on the ward with no specific interventions, but in only 4.9% (95% CI, 0.0-11.5) of those on the ward where the intervention was carried out. The difference was presumably due to the measures initiated by the specially trained nurse, including validation, improvement of sleep, cognitive activation, early mobilization, improved sensory stimulation, and improved nutritional and fluid intake. Important predictors of postoperative delirium included a low score on the Mini-Mental State Examination, advanced age, and preoperative infection., Conclusion: The frequency of postoperative delirium in elderly patients with cognitive deficits can be lowered with nursing measures carried out by a specially trained nurse, close postoperative supervision, and cognitive activation.

Objectives: We know from daily experience in the care of people with intellectual disabilities that the usually applied bio-psycho-social model is not sufficient in the psychiatric treatment of that patient-group. A fourth dimension considering cognitive and socio-emotional development should be added. A specific algorithm for evaluating the emotional level of a person (called "SEO") has demonstrated its effectiveness. Aim of this study is to test its feasibility in everyday practice in a hospital team of a psychiatric ward., Methods: The SEO was used to evaluate 18 patients with intellectual disability by a multi-professional team in a psychiatric hospital ward. The time for completing the SEO was measured within a time period of 8 weeks. Additionally, the influence on patients' problem behaviour in the time period after completion of the SEO was measured., Results: The average time needed for completing one SEO was 11 minutes. After the second week, there was no further shortening of the time necessary for completion of the SEO, nor was their any further improvement in the quality of scoring the SEO by the team. After completion of the SEO, behavioral problems of the patients improved significantly in the following time period., Conclusion: The SEO seems to be time-economic and feasible for evaluating the socio-emotional development, which can be well integrated in the routine of a psychiatric hospital team. The benefit for patients is the significant reduction of problem behaviour after SEO-evaluation in general., (© Georg Thieme Verlag KG Stuttgart · New York.)

Objective: To determine the validity of the Autism-Checklist (ACL) in adults with intellectual disability (ID) who are suspected of having autism spectrum disorder., Methods: In 154 adults with ID the results of the ACL were compared to the results of the final diagnostic classification obtained by a multiprofessional case conference for autism. Psychometric properties of the ACL were evaluated., Results: The internal consistency as indicated by Cronbach's alpha was 0.81. The ACL sum score highly correlated with established screening measures such as the Social Communication Questionnaire (SCQ: Spearman's rho = 0.620) and the Pervasive Developmental Disorder in Mental Retardation Scale (PDD-MRS: Spearman's rho = 0.490). ROC Analysis revealed an area under the curve of 0.859. The ACL classification complied with the final diagnostic classification in 80.5 % and Cohen's kappa revealed a moderate agreement of 0.596. Sensitivity/specificity of the ACL were 90.7 %/67.6 %, respectively. Interrater-intertime reliability was good (Cohen's kappa = 0.702; Spearman = 0.549; n = 53). In 19 patients (22 %) a diagnosis of ASD had been given prior to referral., Conclusion: The ACL is a suitable measure for adults with ID and suspicion of autism spectrum disorders., (© Georg Thieme Verlag KG Stuttgart · New York.)