SummaryWe report on the first 18 months of two communities' efforts using methods inspired by community‐based participatory system dynamics for the development, implementation, and evaluation of whole of community efforts to improve the health of children. We apply Foster‐Fishman's theoretical framework for characterizing systems change to describe the initiatives. Bounding the system began with defining leaders more broadly than standard health interventions to be those who had the ability to change environments to improve health, including food retailers, government, and business, and using high‐quality childhood monitoring data to define the problem. Widespread access to junk food, barriers to physical activity, and efforts to promote health predominantly through programmatic approaches were identified as potential root causes. System interactions existed in the form of relationships between stakeholder groups and organizations. The approach described built new relationships and strengthened existing relationships. Willingness in taking risks, changing existing practice, and redesigning health promotion work to have a community development focus, were levers for change. This approach has resulted in hundreds of community‐led actions focused on changing norms and environments. Insights from this approach may be useful to support other communities in translating systems theory into systems practice. Further empirical research is recommended to explore the observations in this paper.

Background To make effective progress towards a global reduction in obesity prevalence, there needs to be a focus on broader structural factors, beyond individual-level drivers of diet and physical activity. This article describes the use of a systems framework to develop obesity prevention policies with adolescents. The aim of this research was to use the group model building (GMB) method to identify young people’s perceptions of the drivers of adolescent obesity in five European countries, as part of the EU-funded Co-Create project. Methods We used GMB with four groups of 16–18-year-old in schools in each of the five European countries (The Netherlands, Norway, Poland, Portugal and the UK) to create causal loop diagrams (CLDs) representing their perceptions of the drivers of adolescent obesity. The maps were then merged into one, using a new protocol. Results Two hundred and fifty-seven participants, aged 16–18 years, engaged in 20 separate system mapping groups, each of which generated 1 CLD. The findings were largely congruent between the countries. Three feedback loops in the merged diagram particularly stand out: commercial drivers of unhealthy diets; mental health and unhealthy diets; social media use, body image and motivation to exercise. Conclusions GMB provides a novel way of eliciting from young people the system-based drivers of obesity that are relevant to them. Mental health issues, social media use and commercial practices were considered by the young people to be key drivers of adolescent obesity, subjects that have thus far had little or no coverage in research and policy.

Introduction/BackgroundSystems thinking represents an innovative and logical approach to understanding complexity in community-based obesity prevention interventions. We report on an approach to apply systems thinking to understand the complexity of a successful obesity prevention intervention in early childhood (children aged up to 5 years) conducted in a regional city in Victoria, Australia.MethodsA causal loop diagram (CLD) was developed to represent system elements related to a successful childhood obesity prevention intervention in early childhood. Key stakeholder interviews (n = 16) were examined retrospectively to generate purposive text data, create microstructures, and form a CLD.ResultsA CLD representing key stakeholder perceptions of a successful intervention comprised six key feedback loops explaining changes in project implementation over time. The loops described the dynamics of collaboration, network formation, community awareness, human resources, project clarity, and innovation.ConclusionThe CLD developed provides a replicable means to capture, evaluate and disseminate a description of the dynamic elements of a successful obesity prevention intervention in early childhood.

Prior to the 2020 outbreak of COVID-19, 70% of Australians’ food purchases were from supermarkets. Rural communities experience challenges accessing healthy food, which drives health inequalities. This study explores the impact of COVID-19 on food supply and purchasing behaviour in a rural supermarket. Group model building workshops explored food supply experiences during COVID-19 in a rural Australian community with one supermarket. We asked three supermarket retailers “What are the current drivers of food supply into this supermarket environment?” and, separately, 33 customers: “What are the current drivers of purchases in this supermarket environment?” Causal loop diagrams were co-created with participants in real time with themes drawn afterwards from coded transcripts. Retailers’ experience of COVID-19 included ‘empty shelves’ attributed to media and government messaging, product unavailability, and community fear. Customers reported fear of contracting COVID-19, unavailability of food, and government restrictions resulting in cooking more meals at home, as influences on purchasing behaviour. Supermarket management and customers demonstrated adaptability and resilience to normalise demand and combat reduced supply.

This study aimed to test the effectiveness of the Whole of Systems Trial of Prevention Strategies for Childhood Obesity (WHO STOPS Childhood Obesity) for behavioral, health-related quality of life (HRQoL), and BMI outcomes. Methods: This was a cluster randomized trial of 10 communities randomly allocated (1:1) to start intervention in 2015 (step 1) or in 2019 (after 4 years) in South West Victoria, Australia. Data were collected from participating primary schools in April to June of 2015 (73% school participation rate), 2017 (69%), and 2019 (63%). Student participation rates were 80% in 2015 (1,792/2,516 invited), 81% in 2017 (2,411/2,963), and 79% in 2019 (2,177/2,720). Repeat cross-sectional analyses of measured height and weight (grades two, four, and six [aged approximately 7 to 12 years]), self-reported behavior, and HRQoL (grades four and six) were conducted. Results: There was an intervention by time interaction in BMI z scores (P = 0.031) and obesity/overweight prevalence (P = 0.006). BMI z score and overweight/obesity prevalence decreased between 2015 and 2017 and increased between 2017 and 2019 in intervention communities. The intervention significantly reduced takeaway food consumption (P = 0.034) and improved physical (P = 0.019), psychosocial (P = 0.026), and global (P = 0.012) HRQoL. Water consumption increased among girls (P = 0.033) in the intervention communities, as did energy-dense, nutrient-poor snack consumption among boys (P = 0.006). Conclusions: WHO STOPS had a positive impact on takeaway food intake and HRQoL.