PREVENT improves upscaling of primary interventions for weight control management during childhood and adolescence to reduce cancer risks in adulthood. This relies on current evidence that relates excess body weight with increased cancer risk. Towards this end, PREVENT applies a series of implementation research actions in the following directions. First, it identifies barriers to current interventions and policies preventing them from upscaling to different geographical, socio-economic, and cultural settings. Then, it introduces new multi-actor and context-aware interventions along with new user engagement strategies to face the current upscaling bottlenecks; multi-actor in the sense that they target different types of users (e.g., students, family, educators, policymakers) and context-aware in the sense that PREVENT interventions are tailored to the specific implementation places (class, canteen, sports fields, labs, outside school). The PREVENT new policies are adapted, piloted, and scaled up within the schools’ communities of three European countries facing different epidemiological settings on childhood obesity, geographic, socio-economic and cultural attributes. The pilots are designed to be holistic end-to-end ecosystems, including users, medical professionals, policymakers, public authorities, and civil communities. They focus on the whole school communities of Greece, Sweden, and Spain-Catalonia, that is, PREVENT outreach to more than 3.3 million students, required for guideline provisioning, large-scale implementation, multi-parameter assessment, and scaling-up. Co-creation, active behavioral change, self-evaluation through user empowerment, motivational interviewing, social innovation, digital-assistive engagement, health apps, and multi-domain assessment are implementation research aspects of PREVENT to advance user acceptability and compatibility with existing policies, and thus improve sustainability and upscaling. This action is part of the Cancer Mission cluster of projects on "Prevention and Early Detection".

BETTER4U aims at the identification and personalized management of all weight gain determinants to battle the increasingly rising numbers of overweight/obesity, via homogenous, globally adaptable and practically assessed public health initiatives and key interventions. Building on previous key projects and biobanks, the project will focus on the hitherto neglected impact of the polygenic background of weight gain on the effectiveness of lifestyle interventions for weight management in people with overweight/obesity. BETTER4U aims to probe into the global obesity challenge, study the problem and offer solutions in a tangible realistic way with the assistance of modern AI technologies and the contribution of experts around the world. BETTER4U will be realized through the following objectives: 1. To comprehensively understand and decipher genetics, metabolomics, microbiota, socio-economic, geographical, cultural and lifestyle features linked to weight gain throughout the life course, via meta-analyses (BETTER4U data from >50 studies, >1 million individuals) and extensive literature meta-review. 2.To develop the BETTER4U intervention methodology for weight gain prevention, based on a causal AI model of obesity determinants and a pilot study in 7 European countries. 3.To deploy technology-assisted, real-time monitoring tools to measure detailed behavioral indicators and their relation to the environmental context. 4.To evaluate the efficacy of the novel BETTER4U intervention methodology in a controlled, randomized clinical trial, based on individually-tailored recommendations for lifestyle change. 5.To maximize transferability and applicability of the BETTER4U intervention methodology by identifying implementation barriers and facilitators, as well as to evaluate implementation outcomes in both participants and stakeholders. 6. To develop and disseminate the BETTER4Uobesity prevention intervention methodology guidelines using a people-centred, sustainable care approach.

Obesity in Europe disproportionately affects people and communities with a lower socioeconomic position (SEP). Effective preventive approaches require consideration of the complex and dynamic interplay between (SEP-specific) biological, sociocultural and environmental risk factors of obesity across the life course. OBCT provides health professionals, researchers, policy makers and the public with knowledge, maps and tools to support sustainable prevention of obesity, with a particular focus on low SEP communities. To achieve this, we quantify the contribution of biological, sociocultural and built environmental risk factors of obesity risks and the interactions in and across various life stages, and translate the resulting knowledge into practical and effective tools for action. Specifically, OBCT will: 1) Advance the current understanding of obesity risks and predictors, and the role of SEP across the life-course; 2) Determine the importance of specific obesity-related behaviours to prevent obesity at key life stage transitions; 3) Develop a holistic obesity risk screener for use by the public at large and by health professionals; 4) Provide country-specific estimates of trends obesity; 5) Provide a digital atlas on the obesogenicity of environments; 6) Characterise obesity-related cardiometabolic risk profiles over gender, age and SEP; 7) Develop tailored lifestyle recommendations; 8) Determine the impact of obesity-related policies on inequality; 9) Provide a decision support dashboard for policy makers; 10) Provide co-developed toolboxes to support implementation of policy recommendations in low-SEP communities. OBCT’s outputs highlight where and in which domains obesity is to be targeted, and empower the research community, policymakers, health professionals and citizens to adapt and implement policies to reduce obesity risk, thereby helping to prevent obesity -particularly in low SEP communities - throughout Europe.

Proper nutrition is essential for good health, well-being and the prevention, mitigation or treatment of a number of non-communicable diseases (NCDs). Food is not only a source of calories, but also a complex mixture of dietary chemicals, some of which are directly related to cardiovascular diseases, diabetes, allergies and some types of cancer. Foods, diet and nutritional status, including overweight and obesity, are also associated with elevated blood pressure and blood cholesterol or even resistance to the action of insulin. These conditions are not only risk factors for non-communicable diseases, but major causes of illness themselves. However, today's diet is characterized by irregular and poorly balanced meals. Unhealthy eating habits in our daily life are not only risk factors for non-communicable diseases, but also major causes of stress and tiredness, i.e., lack of energy. Knowledge about our dietary habits based on the analysis of diverse types of information, including individual parameters, can contribute greatly towards answering key questions to respond to societal challenges regarding food and health. Motivated by the aforementioned, the PROTEIN project aims to develop an end-to-end ecosystem that will engage people to a healthy, pleasurable, nutritional and sustainable diet by offering a daily program adapted to their needs and driven by their personal preferences, physical and physiological characteristics as well as their health status. Specifically, the main objective of PROTEIN is to create an ICT-based system for providing personalized nutrition based on the collection and analysis of large volumes of data related to users' dietary behavioural patterns, physical activity and individual parameters. PROTEIN proposes a radically novel approach to advice and support consumers in everyday living, while ensuring users’ privacy protection i.e., data will be anonymized and securely stored in the Cloud for processing.

STAGE aims to demonstrate the importance and feasibility of a life-course approach to prevent accelerated ageing, as defined by the accumulation of multi-morbidity, and to integrate knowledge into transferable person-centred solutions for early diagnosis and screening, treatment and long-term management of multi-morbidity. To achieve this, STAGE is proposing a life-course approach to better understand ageing with multi-morbidity, providing evidence-based solutions to support the transformation of healthcare to address the profound health and demographic challenges ahead. The approach capitalises on European collaborations of longitudinal cohorts and biobanks spanning the entire life-course, actioning exposome and disease networks trajectory analysis, as well as, the biology of ageing, to explore how a person develops ageing with multi-morbidity. The project objectives integrate an ethical, social, historical, and infrastructural framework; environmental, epidemiological and biological life-course approaches; artificial intelligence powered integrated person-centred solutions and applications; cohort-based clinical studies; and a FAIR (findable, accessible, interoperable and reusable) life-course health and geospatial data portal with robust management, dissemination, engagement and exploitation activities. STAGE's evidence-based methods will translate into a person-centred prevention and care intervention in longitudinal cohorts in Finland and Germany, co-designed with citizens, patients, healthcare providers, SMEs, and policymakers. It will also embed social sciences and humanities and engage stakeholders to develop a neighbourhood healthy ageing index, person-centred predictions of multi-morbidity, and healthcare and policy recommendations. Ultimately, STAGE will create solutions for agile, high-quality, person-centred health and care services that are life-course and gender sensitive, needs-based, and designed to enhance resilience and participation.