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The categorical approach of diagnosing mental disorders entails the problem of frequently occurring comorbidities, suggesting a more parsimonious structure of psychopathology. In this study, we therefore aim to assess how affective dysregulation (AD) is associated with attention-deficit/hyperactivity disorder (ADHD) and oppositional defiant disorder (ODD) in children. To assess AD in children aged 8-12 years (n = 391), we employed the parent version of a newly constructed parent rating scale. Following item reduction, we conducted exploratory and confirmatory factor analyses to establish a factorial structure of AD. One core dimension was identified, comprising irritability and emotional impulsivity, and two smaller dimensions, comprising positive emotionality and exuberance. Subsequently, we examined five different latent factor models - a unidimensional model, a first-order correlated factor model, a second-order correlated factor model, a traditional bifactor model, and a bifactor S-1 model, in which the first-order factor AD-Irritability/Emotional Impulsivity (II) was modeled as the general reference factor. A bifactor S-1 model with the a priori defined general reference domain AD-II provided the best fit to our data and was straightforward to interpret. This model showed excellent model fit and no anomalous factor loadings. This still held true, when comparing it to bifactor S-1 models with ADHD/ODD-related reference factors. Differential correlations with emotion regulation skills and the established Parent Proxy Anger Scale validate the interpretation of the different dimensions. Our results suggest that irritability/emotional impulsivity might be a common core feature of ADHD and ODD.

Objective: To examine and validate the self-report Questionnaire on the Regulation of Unpleasant Moods in Children (FRUST), which is a modified and shortened version of the Questionnaire for the Assessment of Emotion Regulation in Children and Adolescents (FEEL-KJ). Methods: The data comprised child and parent ratings of a community-screened sample with differing levels of affective dysregulation (AD) (N = 391, age: M = 10.64, SD = 1.33, 56% male). We conducted latent factor analyses to establish a factor structure. Subsequently, we assessed measurement invariance (MI) regarding age, gender, and AD level and evaluated the internal consistencies of the scales. Finally, we examined the convergent and divergent validity of the instrument by calculating differential correlations between the emotion regulation strategy (ERS) scales and self- and parent-report measures of psychopathology. Results: A four-factor model, with one factor representing Dysfunctional Strategies and the three factors Distraction, Problem-Solving and Social Support representing functional strategies provided the best fit to our data and was straightforward to interpret. We found strong MI for age and gender and weak MI for AD level. Differential correlations with child and parent ratings of measures of psychopathology supported the construct validity of the factors. Conclusions: We established a reliable and valid self-report measure for the assessment of ERS in children. Due to the reduced number of items and the inclusion of highly specific regulatory behaviors, the FRUST might be a valuable contribution to the assessment of ER strategies for diagnostic, therapeutic, and research purposes.

Background The terms affective dysregulation (AD) and irritability describe transdiagnostic dimensions and are characterized by an excessive reactivity to negative emotional stimuli with an affective (anger) and a behavioral component (aggression). Due to early onset, high prevalence and persistence, as well as developmental comorbidity, AD in childhood is one of the most psychosocially impairing and cost-intensive mental health conditions. AD is especially prevalent in children in the youth welfare service. Despite continuous research, there remains a substantial need for diagnostic approaches and optimization of individualized treatment strategies in order to improve outcomes and reduce the subjective and economic burden. Methods The ADOPT (Affective Dysregulation - Optimizing Prevention and Treatment) Consortium integrates internationally established, highly experienced and interdisciplinary research groups. The work program encompasses (a) epidemiology, including prevalence of symptoms and disorders, (b) development and evaluation of screening and assessment tools, (c) stepped care approaches for clinically useful personalized medicine, (d) evaluation of an easily accessible and cost-effective online intervention as indicated prevention (treatment effects, moderation/mediation analysis), and (e) evaluation of an intensive personalized modular outpatient treatment in a cohort of children with AD who live with their parents and in a cohort of children with AD who live in out-of-home care (treatment effects, moderation/mediation analysis). Discussion The results will lead to significant recommendations for improving treatment within routine clinical care in two cohorts of children with AD and coexisting conditions, especially oppositional-defiant disorder, conduct disorder and disruptive mood dysregulation disorder.

Aggressive behaviour is a typical phenomenon in childhood and adolescence. Aggression is one of the frequent reasons for parents to seek child and adolescent psychiatric and psychotherapeutic treatment. Disorders with increased aggressive behaviour, such as conduct or oppositional defiant disorder, carry an increased risk for long-lasting negative impact on well-being, especially when comorbid with substance abuse or affective symptoms. Barriers for treatment are frequently a lack of insight into consequences and non-compliance with intervention shown by adolescents. In addition, interdisciplinary intervention needs to combine psychiatric and psychotherapeutic interventions as well as complex interventions supported by the youth welfare system, and in particular including families. Further research is needed for the implementation of evidence-based treatments in routine care as well in special populations, such as girls with conduct disorders or youth with substance abuse.

In 1934, Kramer and von der Leyen demonstrated in a sophisticated longitudinal study with eleven conduct disordered and neglected children labelled as anethic psychopaths that anethic traits subsided in a favourable educational setting. Sound prognoses, due to the diversity of environmental factors, were found to be impossible. On the contrary they stated that negative labelling led to an affirmation of a negative prognosis. In theory, they supposed a genetic predisposition resulting in a heightened sensitivity to the environment. This early theory of epigenetics radically contradicted the Nazi dogma of hereditability and ostracism and the selection procedures in mainstream psychiatry at that time. The debate ended with von der Leyen's suicide and the prohibition of medical work and publication towards Kramer. Even after the end of the Nazi policy of eradication of the socially debased, this early theory was not taken on again, nor dignified.

Affective dysregulation (AD) in children is characterized by persistent irritability and severe temper outbursts. This study developed and evaluated a screening questionnaire for AD in children. The development included the generation of an initial item pool from existing instruments, a Delphi rating of experts, focus groups with experts and parents, and psychometric analyses of clinical and population-based samples. Based on data of a large community-based study, the final screening questionnaire was developed (n = 771; 49.7 % female; age M = 10.02 years; SD = 1.34) and evaluated (n = 8,974; 48.7 % female; age M = 10.00 years; SD = 1.38) with methods from classical test theory and item response theory. The developed DADYS-Screen (Diagnostic Tool for Affective Dysregulation in Children-Screening Questionnaire) includes 12 items with good psychometric properties and scale characteristics including a good fit to a one-factorial model in comparison to the baseline model, although only a mediocre fit according to the root mean square error of approximation (RMSEA). Results could be confirmed using a second and larger data set. Overall, the DADYS-Screen is able to identify children with AD, although it needs further investigation using clinical data.