Summary Childhood obesity is a public health concern globally, with generally higher prevalence rates in boys compared to girls. Although biological sex is an important determinant, gender roles and norms influence the exposure and vulnerability to risk factors for noncommunicable diseases. Norms and roles might be reinforced or change due to coronavirus disease 2019 (COVID‐19) related measures as well as the exposure to risk factors for childhood obesity. COVID‐19 related changes, such as home confinement, influence a child's risk of obesity. Using Dahlgren and Whitehead's model of the main determinants of health, this paper aims to provide a roadmap for future research on sex, gender, and childhood obesity during the time of COVID‐19. It examines how COVID‐19 has led to important changes in children's general socioeconomic, cultural, and environmental conditions, social and community networks, and individual lifestyle factors and how these may affect a child's risk for obesity. It focuses on the influence of gender and sex and outlines key considerations and indicators to examine in future studies concerned with promoting health and gender equity and equality. We need to understand the differential impact of COVID‐19 related measures on girls' and boys' risk for obesity to adequately react with preventive measures, policies, and programs.

Abstract. Objective: An initiative by scientific societies of psychiatry, child and adolescent psychiatry, psychosomatic medicine, and further associations established the Platform-Model for the development of a needs-based system for adequate personnel allocation in psychiatric inpatient and day clinic units. We present the development of the instrument and a pilot study to identify feasibility and limitations. Methods: The basis of the study was a threefold methodological approach. Paradigmatic case vignettes adequately reflecting symptomatology and circumstances were described and validated, working profiles were generated and validated, and a matrix representing different needs-based dimensions was developed. Through reference date surveys, patients were assigned to needs-based clusters and Psych-PV categories. The required treatment effort under consideration of guidelines or expert consensus was estimated in several rounds of expert panels (Delphi method). Results: The pilot study proves the feasibility of the Platform-Model. Methodological findings as well as limitations of the model were identified in order to further develop the Platform-Model. Conclusions: The Platform-Model cannot serve as a tool to describe clinical pathways, but it appears to be an adequate and practical tool for assessment of the required staffing level based on patient needs independent of diagnosis and setting.