Antimicrobial resistance (AMR) decreases the effectiveness of antimicrobials to treat bacterial infections in humans and animals. The increased occurrence of AMR in bacterial population in humans, animals, and the environment requires the measures to combat a rising global health crisis. The aim of this research was to present current knowledge on AMR in a system map and to identify potential explanations of former identified variables significantly associated with AMR. This study applies a systems thinking approach and uses feedback loops to visualize the interconnections between human, animal, and environmental components in a circular AMR system map model. First, a literature review focusing on AMR and socioeconomic factors, wicked problem, and system change was carried out, which was then processed in a system map to conceptualize the present core challenges of AMR via feedback loops. Second, to investigate possible underlying values of the society and those that influence humans' behavior in the present AMR system, an iceberg model was established. Third, leverage points were assessed to estimate which kinds of interventions would have the greatest effect to mitigate AMR in the system. The present AMR system map implies the potential to identify and visualize important risk factors that are direct or indirect drivers of AMR. Our results show that the tool of system mapping, which interconnects animals, humans, and environment in one model, can approach AMR holistically and be used to assess potential powerful entry points for system wide interventions. This study shows that system maps are beneficial as a model to predict the relative effect of different interventions and adapt to rapidly changing environments in a complex world. Systems thinking is considered as a complementing approach to the statistical thinking, and further research is needed to evaluate the use of such tools for the development and monitoring of interventions.

Diets influence our mental health and social wellbeing (MHSW) in multiple ways. A rising community concept, Eco-Regions, has gained interest. The research project “Indicators for assessment of health effects of consumption of sustainable, organic school meals in Ecoregions” (INSUM) aims to develop future-oriented research approaches to measure the potential health effects of more sustainable and healthy diets. This first part of the project focuses on MHSW with the goal to identify suitable study designs and indicators. The methodology is based on a 2-day workshop with an interdisciplinary group of experts. This paper describes commonly applied research methods on the nexus between diet and MHSW as presented by the experts and summarises key points from the discussions. The results show that the dominating tool to investigate MSHW is questionnaires. Questionnaires vary largely depending on the research design, such as participants or distribution channels. Cohort studies addressing families and including in-depth interventional and/or experimental studies may be suitable for an Eco-Region investigation. Those MHSW studies can be conducted and combined with measurements of somatic health effects. We conclude that indicators should be seen as complementary rather than independent. Explorative research designs are required to investigate complex Eco-Regions.

To solve the rising issue of how to feed our planet in the future, we need to enhance our knowledge of peoples' current eating patterns and analyze those in terms of their health and environmental impacts. Current studies about adherence to existing national and global dietary recommendations often lack the ability to cross-compare the results among countries. Therefore, this study aims to develop a methodology to evaluate adherence to food-based dietary guidelines (FBDGs) and the Planetary Health Diet (PHD) on a national level, which can be replicable in different countries. First, national dietary intake data was collected from surveys published by the respective responsible public institutions from five countries (Italy, Denmark, Germany, Morocco, and Poland). Second, food groups represented in the intake data and the FBDGs were mapped to establish a proposal for a new common grouping (i.e., comprehensive food groups) that enables cross-country comparison. Third, dietary intake was compared to the recommendations according to national FBDG and the PHD. The adherence to the recommended diets was assessed using an adapted version of the German Food Pyramid Index. Our results show that different ways of grouping foods may change adherence levels; when measuring adherence to the FBDGs with the food groups suggested in the FBDGs, average scores (45.5 ± 5.4) were lower than by using comprehensive food groups (46.9 ± 3.7). Higher adherence to the PHD (52.4 ± 6.1) was found also using the comprehensive food groups. Particularly the foods meats, eggs, and legumes in one group (i.e., protein equivalents) appear to influence the outcome of scores using the comprehensive food groups. This study developed a methodology to evaluate national dietary intake against national FBDGs and the PHD. Our study points out the fact that it is difficult to overcome the challenge that countries have different food grouping clusters. Yet, the combination of the methods developed enables cross-country comparisons and has the potential to be applied to different national settings globally.