Evaluation of Neuropsychiatric outcomes in patients hospitalized with COVID-19 in a nationwide Veterans Health Administration cohort.

Hospitalized patients with COVID-19 have an increased risk of developing psychiatric symptoms associated with post-COVID-19 syndrome. We aimed to evaluate the impact of COVID-19 hospitalization on neuropsychiatric healthcare utilization as well as new-onset depression and dementia. This nationwide, retrospective, observational cohort study included hospitalized COVID-19 patients aged 18 years or older across the Veterans Health Administration database from January 1st, 2020 through January 1st, 2022. The COVID-19 group consisted of patients hospitalized with COVID-19 with a positive test within seven days of the hospitalization. The control group consisted of patients hospitalized for reasons other than COVID-19 without a prior positive test or during the study duration. Propensity scores were utilized for 1:1 matching. This study included 50,805 patients in each matched cohort. Average patient population was 69 years old with ∼93 % male. The primary outcome of psychiatry-related hospitalization incidence rates were significantly higher in the COVID-19 group at both 90 days and 180 days. There was also a significant increase in the incidence outpatient mental health visits at 180 days in the COVID-19 cohort. Significantly higher risk of new-onset depression and new-onset dementia in the COVID-19 hospitalization group at 180 days as compared to the non-COVID-19 cohort was noted.

Associations between social media, adolescent mental health, and diet: A systematic review.

Social media use is integral to many adolescents' lives. It brings benefits but can also have detrimental effects on both physical and mental health. We conducted a systematic review examining associations between social media use, adolescent mental health (including body image, self-esteem, stress, interpersonal relationships and loneliness, anxiety, and depressive symptoms), and dietary outcomes. Quantitative studies published between 2019 and 2023 investigating both mental health and diet were searched in 11 databases. The risk of bias was appraised using ROBINS-E. Data were narratively synthesized by type of association, PROGRESS-Plus health equity characteristics, and related to social media influencers. Twenty-one studies were included, of which only one focused on influencers. Sex/gender was the only equity characteristic assessed (n = 8), with mixed results. The findings suggest significant positive correlations between social media use and both depressive and disordered eating symptoms, body dissatisfaction, and anxiety. Four studies identified body image, self-esteem, or anxiety as moderators acting between social media exposure and dietary outcomes. Policy interventions mitigating the impact of social media on adolescents-particularly body image and disordered eating-are needed, alongside follow-up studies on causal pathways, the role of influencers, equity impacts, dietary intake, and the best measurement tools to use.

Learning from the CO-CREATE project: A protocol for systems thinking across research (STAR).

The CO-CREATE project aimed to work with young people to create, inform, and disseminate obesity-preventive evidence-based policies using a complex systems perspective. This paper draws lessons from this experience and proposes a protocol for embedding systems thinking within a research project. We first draw on existing systems thinking frameworks to analyze how systems thinking was translated across CO-CREATE, including the flow and relationship between the work packages and in the methods used. We then take the lessons from CO-CREATE and the principles of existing systems thinking frameworks-which focus on various points of intervention planning and delivery but not on research projects as a whole-to formulate a protocol for embedding systems thinking across a research project. Key lessons for future planning and delivery of systems-oriented research projects include incorporating "boundary critique" by capturing key stakeholder (adolescent) values and concerns; working to avoid social exclusion; ensuring methodological pluralism to allow for reflection and responsiveness (with methods ranging from group model building, Photovoice, and small group engagement); getting policy recipients to shape key questions by understanding their views on the critical drivers of obesity early on in the project; and providing opportunity for intraproject reflection along the way.

Co-creating obesity prevention policies with youth: Policy ideas generated through the CO-CREATE project.

Despite growing recognition of the importance of applying a systems lens to action on obesity, there has only been limited analysis of the extent to which this lens has actually been applied. The CO-CREATE project used a youth-led participatory action research approach to generate policy ideas towards the reduction of adolescent overweight and obesity across Europe. In order to assess the extent to which these youth-generated policy ideas take a systems approach, we analyzed them using the Intervention Level Framework (ILF). The ILF ascribes actions to one of five system levels, from Structural Elements, the least engaged with system change, up to Paradigm, which is the system's deepest held beliefs and thus the most difficult level at which to intervene. Of the 106 policy ideas generated by young people during the CO-CREATE project, 91 (86%) were categorized at the level of Structural Elements. This emphasis on operational rather than systems level responses echoes findings from a previous study on obesity strategies. Analyzing the distribution of systems level responses using the ILF has the potential to support more effective action on obesity by allowing identification of opportunities to strengthen systems level responses overall.

System dynamics simulation models on overweight and obesity in children and adolescents: A systematic review.

It has increasingly been recognized that developing successful obesity prevention policies and interventions requires understanding of the complex mechanisms driving the obesity pandemic and that models could be useful tools for simulating policies. This paper reviews system dynamics simulation models of mechanisms driving childhood overweight and obesity and/or testing of preventive interventions. A systematic literature search was conducted in six databases from inception to January 2023 using terms related to overweight/obesity, children, and system dynamics. Study descriptives, mechanisms, and where to intervene (the leverage points), as well as quality assessments of the simulation models were extracted by two researchers into a predetermined template and narratively synthesized. Seventeen papers describing 15 models were included. Models describing the mechanisms ranged from only intrapersonal factors to models cutting across multiple levels of the ecological model, but mechanisms across levels were lacking. The majority of interventions tested in the simulation models were changes to existing model parameters with less emphasis on models that alter system structure. In conclusion, existing models included mechanisms driving youth obesity at multiple levels of the ecological model. This is useful for developing an integrated simulation model combining mechanisms at multiple levels and allowing for testing fundamental system changes.

Understanding the dynamics emerging from the interplay among poor mental wellbeing, energy balance-related behaviors, and obesity prevalence in adolescents: A simulation-based study.

Both obesity and poor mental wellbeing have a high prevalence in European youth. Adolescents in six countries identified mental wellbeing factors as main drivers of youth obesity through systems mapping. This study sought to (1) explore the dynamics of the interplay between poor mental wellbeing, energy balance-related behaviors, and adolescent overweight and obesity prevalence and (2) test the effect of intervention point scenarios to reduce adolescent obesity. Drawing on the youth-generated systems maps and a literature synthesis, we built a simulation model that represents the links from major feedback pathways for poor mental wellbeing to changes in dietary, physical activity, and sleep behaviors. The model was calibrated using survey data from Norway, expert input, and literature and shows a good fit between simulated behavior and available statistical data. The simulations indicate that adolescent mental wellbeing is harmed by socio-cultural pressures and stressors, which trigger reinforcing feedback mechanisms related to emotional/binge eating, lack of motivation to engage in physical activity, and sleep difficulty. Targeting a combination of intervention points that support a 25% reduction of pressure on body image and psychosocial stress showed potentially favorable effects on mental wellbeing-doubling on average for boys and girls and decreasing obesity prevalence by over 4%.

Evaluating the Association of Montelukast Use on Neuropsychiatry-Related Healthcare Utilization and Depression in COVID-19-Hospitalized Veterans: A Nationwide VA Observational Cohort Study.

BACKGROUND: Montelukast's new boxed warning for neuropsychiatric events questions its use in the setting of coronavirus disease 2019 (COVID-19) due to increased risk for new-onset psychiatric diagnoses. OBJECTIVE: We aim to evaluate the impact of using montelukast in patients hospitalized with COVID-19 on neuropsychiatry-related healthcare utilization and depression. METHODS: This retrospective nationwide observational cohort study using the Veterans Health Administration database included patients from January 1, 2020, through July 1, 2021. The treatment cohorts consisted of patients with and without montelukast use prior to COVID-19 hospitalization and matched using propensity score (PS) to two control cohorts: patients with COVID-19-related hospitalization without prior montelukast use and patients with prior montelukast use who were hospitalized for reasons other than COVID-19. The primary outcome of psychiatric hospitalizations at 90 days and 180 days and mental health visits at 180 days were compared using Poisson or negative binomial regression. Secondary outcomes of new-onset depression and new use of antidepressants were analyzed using multivariable logistic regression. RESULTS: After PS matching, a total of 415 patients were included in COVID-19 with and without montelukast matched cohort and 409 patients in montelukast with and without COVID-19-related hospitalization matched cohorts. For the primary outcomes, inpatient psychiatric hospitalization at 90 days [incidence rate ratio (IRR) 95% CI 1.79 (1.36-2.36)] and 180 days [IRR 95% CI 1.79 (1.32-2.25)] and mental health visits at 180 days [IRR 95% CI 1.72 (1.45-2.03)] were significantly higher in the montelukast with COVID-19 hospitalization group compared with those hospitalized without COVID-19. No difference in primary outcomes were noted in patients hospitalized with COVID-19 with and without use of montelukast. No significant difference was found in the secondary outcomes between either comparator group. CONCLUSIONS: Patients with prior montelukast use who were hospitalized with COVID-19 appeared to have increased rate of neuropsychiatry-related healthcare utilization.

Qualitative analysis of front-of package labeling policy interactions between stakeholders and Health Canada.

Background: Front-of-package labelling regulations proposed by Health Canada in their Healthy Eating Strategy (2016) were finally passed in 2022, but remain unimplemented. This study analyzed interactions that occurred between stakeholders and government related to this policy proposal to identify key themes and policy implications. Methods: A qualitative framework analysis was conducted on publicly available documents for stakeholder correspondences related to front-of-package that occurred between 2016 and 2019 in Health Canada's Meetings and Correspondence on Healthy Eating database. Five sequential steps were applied: familiarization, identifying a thematic framework, indexing, charting, and mapping and interpretation. A complex systems (i.e., a dynamic system with multiple interconnecting components) lens was incorporated in the final step to deepen the analysis. Results: Hundred and seventy-three documents were included, the majority from industry stakeholders (n = 108, 62.4%). Three overarching themes were identified: industry trying to control the agenda and resist regulation; questioning the evidence supporting the policy and its impact on the agri-food industry; and dismissing the need and effectiveness of the policy. Incorporating a complex system lens found industry and non-industry stakeholders held markedly different perspectives on how cohesive the system defined by the front-of-package labelling policy was, and the policy impact on its stability. Economic and opportunity costs were the main trade-offs, and symbol misinterpretation considered an unintended consequence by industry. Finally, some stakeholders argued for wider policy scope incorporating more products, while others requested a narrower approach through exemptions. Conclusion: Interactions with industry stakeholders on health food policy proposals require careful consideration, given it may suit their interests to generate delays and policy discordance. Explicitly setting out the principles of engagement and actively encouraging non-industry stakeholder representation provides a more balanced approach to policy consultation and development.

System mapping with adolescents: Using group model building to map the complexity of obesity.

Public health research and practice is increasingly employing systems thinking to help grapple with complex issues, from obesity to HIV treatment. At the same time, there is growing recognition that to address a given problem it is essential collaborate with those most at risk of or affected by it. Group model building (GMB), a process grounded in system dynamics, combines systems thinking and participatory methods to structure and address complex issues. As part of the CO-CREATE project we conducted GMB sessions with young people in six countries to create causal loop diagrams showing the factors that they believe drive obesity. This paper describes the background to GMB and the process we used to construct causal loop diagrams; it discusses how GMB contributed to generating noteworthy and useful findings, and the strengths and limitations of the method. Using GMB, we identified areas of concern to adolescents in relation to obesity that have so far had little attention in obesity research and policy: mental health and online activity. In using GMB, we also helped answer calls for a more participatory approach to youth involvement in research and policy development.

Overweight and obesity prevention for and with adolescents: The "Confronting obesity: Co-creating policy with youth" (CO-CREATE) project.

The CO-CREATE project focuses on the need for research on obesity prevention in adolescents to move away from studies of single interventions, toward the investigation of systems-based research incorporating youth involvement. This paper provides an overview of the project, presenting the objectives, design, and novel methodologies applied, as well as findings to date and anticipated outcomes. Adolescents (16-18 years old) in five European countries participated. Methods applied in the project include monitoring and benchmarking of policies, systematic literature reviews, epidemiological surveillance, linking observed overweight and obesity trends to observed policy landscapes, group model building to identify perceived drivers of obesity, alliance building with adolescents, dialog with stakeholders, and system dynamics modelling to explore the potential impact of policy options. Outcomes include tools for developing policy ideas and investigation of prevention strategies with adolescents, including policy databases, system maps of drivers of obesity, protocols for organizing youth alliances, an intergenerational policy dialog tool, and system dynamic models exploring the impacts of cocreated policy ideas. These outcomes make an important contribution to building a pan-European infrastructure for designing and evaluating policies and for providing youth with the opportunity to make their voices heard in the development and implementation of obesity prevention measures.

Ethical considerations in engaging young people in European obesity prevention research: The CO-CREATE experience.

Engaging youth in obesity prevention research and policy action is essential to develop strategies that are relevant and sensitive to their needs. Research with young people requires critical reflection to safeguard their rights, dignity, and well-being. The CO-CREATE project used various methods to engage approximately 300 European youth aged 15-19 years in the development of policies to prevent adolescent obesity. This paper discusses ethical considerations made in the project pertaining to the youth's voluntary participation, their protection from obesity stigma, respect for their time, data privacy and confidentiality, power balance, and equality of opportunity to participate in the research. We describe measures implemented to prevent or limit the emergence of ethical challenges in our interaction with youth and discuss their relevance based on our experience with implementation. While some challenges seemingly were prevented, others arose related to the youth's voluntary participation, time burdens on them, and the sustainability of participation under the Covid-19 pandemic. Concrete and ongoing ethical guidance may be useful in projects aiming to interact and build collaborative relationships with youth for long periods of time.

Adolescents' Perspectives on the Drivers of Obesity Using a Group Model Building Approach: A South African Perspective.

Overweight and obesity increase the risk of a range of poor physiological and psychosocial health outcomes. Previous work with well-defined cohorts has explored the determinants of obesity and employed various methods and measures; however, less is known on the broader societal drivers, beyond individual-level influences, using a systems framework with adolescents. The aim of this study was to explore the drivers of obesity from adolescents' perspectives using a systems approach through group model building in four South African schools. Group model building was used to generate 4 causal loop diagrams with 62 adolescents aged 16-18 years. These maps were merged into one final map, and the main themes were identified: (i) physical activity and social media use; (ii) physical activity, health-related morbidity, and socio-economic status; (iii) accessibility of unhealthy food and energy intake/body weight; (iv) psychological distress, body weight, and weight-related bullying; and (v) parental involvement and unhealthy food intake. Our study identified meaningful policy-relevant insights into the drivers of adolescent obesity, as described by the young people themselves in a South African context. This approach, both the process of construction and the final visualization, provides a basis for taking a novel approach to prevention and intervention recommendations for adolescent obesity.

Trust and responsibility in food systems transformation. Engaging with Big Food: marriage or mirage?

Concentration of power among transnational 'Big Food' companies has contributed to food systems that are unsustainable, unhealthy and inequitable for people and planet. Given these commercial determinants of health, if 'food systems transformation' is to be authentic-more than a passing narrative-then leveraging Big Food is paramount. To this end, researchers, practitioners and policy-makers are increasingly encouraged to engage with these powerful entities. However, given the conflicts of interest at stake, engagement relies on trust and transparency, that all stakeholders take responsibility for their actions and demonstrate commitment to do no harm. Given Big Food's track record in influencing policy, shifting costs and responsibility for their harms-and while profit primarily drives business decision making-we question whether it is logical to expect trust.This analysis explores concepts of responsibility and trust in relation to food systems transformation involving public-private partnerships. Through short cautionary case studies-looking at the United Nations Food Systems Summit, and Big Food's plastic burden-it argues that unless such companies take responsibility for their cross-cutting effects and earn authentic trust through demonstrably doing no harm, their participation in evidence generation and policy processes should be limited to responding to information requests and adhering to regulation. Any involvement in research agenda-setting or formulating policy solutions introduces conflicts of interest, legitimises corporate irresponsibility and jeopardises scientific integrity. Big Food has dynamism and power to address food system problems, but while it contributes to so many of these problems it should follow-not formulate-transformational evidence, policies and regulations.

Identifying the views of adolescents in five European countries on the drivers of obesity using group model building.

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-olds 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.

The case for developing a cohesive systems approach to research across unhealthy commodity industries.

OBJECTIVES: Most non-communicable diseases are preventable and largely driven by the consumption of harmful products, such as tobacco, alcohol, gambling and ultra-processed food and drink products, collectively termed unhealthy commodities. This paper explores the links between unhealthy commodity industries (UCIs), analyses the extent of alignment across their corporate political strategies, and proposes a cohesive systems approach to research across UCIs. METHODS: We held an expert consultation on analysing the involvement of UCIs in public health policy, conducted an analysis of business links across UCIs, and employed taxonomies of corporate political activity to collate, compare and illustrate strategies employed by the alcohol, ultra-processed food and drink products, tobacco and gambling industries. RESULTS: There are clear commonalities across UCIs' strategies in shaping evidence, employing narratives and framing techniques, constituency building and policy substitution. There is also consistent evidence of business links between UCIs, as well as complex relationships with government agencies, often allowing UCIs to engage in policy-making forums. This knowledge indicates that the role of all UCIs in public health policy would benefit from a common approach to analysis. This enables the development of a theoretical framework for understanding how UCIs influence the policy process. It highlights the need for a deeper and broader understanding of conflicts of interests and how to avoid them; and a broader conception of what constitutes strong evidence generated by a wider range of research types. CONCLUSION: UCIs employ shared strategies to shape public health policy, protecting business interests, and thereby contributing to the perpetuation of non-communicable diseases. A cohesive systems approach to research across UCIs is required to deepen shared understanding of this complex and interconnected area and also to inform a more effective and coherent response.

Evaluation of public health interventions from a complex systems perspective: A research methods review.

INTRODUCTION: Applying a complex systems perspective to public health evaluation may increase the relevance and strength of evidence to improve health and reduce health inequalities. In this review of methods, we aimed to: (i) classify and describe different complex systems methods in evaluation applied to public health; and (ii) examine the kinds of evaluative evidence generated by these different methods. METHODS: We adapted critical review methods to identify evaluations of public health interventions that used systems methods. We conducted expert consultation, searched electronic databases (Scopus, MEDLINE, Web of Science), and followed citations of relevant systematic reviews. Evaluations were included if they self-identified as using systems- or complexity-informed methods and if they evaluated existing or hypothetical public health interventions. Case studies were selected to illustrate different types of complex systems evaluation. FINDINGS: Seventy-four unique studies met our inclusion criteria. A framework was developed to map the included studies onto different stages of the evaluation process, which parallels the planning, delivery, assessment, and further delivery phases of the interventions they seek to inform; these stages include: 1) theorising; 2) prediction (simulation); 3) process evaluation; 4) impact evaluation; and 5) further prediction (simulation). Within this framework, we broadly categorised methodological approaches as mapping, modelling, network analysis and 'system framing' (the application of a complex systems perspective to a range of study designs). Studies frequently applied more than one type of systems method. CONCLUSIONS: A range of complex systems methods can be utilised, adapted, or combined to produce different types of evaluative evidence. Further methodological innovation in systems evaluation may generate stronger evidence to improve health and reduce health inequalities in our complex world.