empowering healthy lifestyle personalised intervention to prevent and control obesity: the healthyw8 project

Conditions: Obesity Prevention; Obesity and Overweight; Obesity and Obesity-related Medical Conditions; Digital Health; Behavioural Science Interventions to Improve Health Equity

Summary: the goal of the healthyw8 study (an intervention study) is: to assess the usefulness and effects of a digital-based healthy lifestyle recommender system (hrls) on the prevention of obesity in the following propulations: schoolchildren (5-10 y) and their parents, young adults (18-25 y) and elders (\>65 y). the main questions it aims to answer are: outcome 1: to select and validate a tool-assisted 3-mo intervention (mostly digital) by iteratively testing the hlrs on reducing risk of overweight/obesity among the described age groups. outcome 2: to assess the effect of 1-y interventions (mostly digital) with the hlrs described and further iteratively improved previously (outcome 1) on reducing risk of overweight/obesity at described ages. researchers will compare the intervention group before the intervention (baseline) and after it (3-mo intervention trial), or control group (standard care) vs. intervention group (1-y intervention) to see changes on changes in overweight/obesity, and related parameters (body composition and biomarkers). participants will follow the hlrs recommendations (meal plans, physical activity and sleep pattern measures and recommendations, assessment of behavioural/psychological aspects, and motivational features through digital devices), which will be assessed by means of measurement of body weight, body composition, and biomarkers.

healthyw8 will enhance early screening and prevention of obesity by making the scientific and technological breakthroughs necessary to support evidence-based clinical, environmental and policy-level decisions, while also directly empowering citizens to adopt healthy and sustainable lifestyle behaviours in a "push-pull" approach. healthyw8 will step up primary obesity prevention efforts across europe, endowing them with a multi-disciplinary portfolio approach, i.e. a set of selective multi-component interventions that combine a large set of interventions and implementation options, focussing on diet, physical activity (pa), and psycho-emotional aspects. the current approach considers obesity as a multifactorial phenomenon, necessitating a holistic, systemic approach accounting for the complexity of individual, interpersonal, organisational, community and public policy levels, as mutually reinforcing and supportive systems. the attention will be focused on pivotal situations of transitions in the life-trajectory of individuals, which pose an elevated risk to progress from healthy weight to overweight and obesity, i.e. windows of opportunity to reduce the risk of developing obesity where the impact will have most leverage. healthyw8 targets vulnerable populations where transitional changes of lifestyle appear to be dominant: primary schoolchildren (5-12y, with active parent involvement), young adults (18-25y), and the elderly (\>65y). a central pillar of the current multiportfolio approach and intervention strategy will be a healthy lifestyle recommender solution (hlrs). despite many apps on the market today that propose changes in dietary behaviour/pa, overweight and obesity are still on the rise across europe. they failed to engage citizens with low interest in healthy lifestyle patterns and suffer from prominent limitations that healthyw8 will address by developing the hlrs as a core element of our adapted intervention strategy and appropriate intervention tools. interventions' acceptability and feasibility to key stakeholders will be ensured by a participatory design approach, allowing stakeholders to influence from the outset their design \& development and integrate the needs of the target groups. the obesity prevention potential of interventions and/or their implementation strategies will be evaluated in over a dozen multicentre pilots (\<3 months) and long-term (12 months) randomised control trials (rcts). in parallel, it will collect user feedback on feasibility, acceptability and needs, allowing researchers to respond in real-time to problems/deviations and to capture context-related factors of success/failure. applying smart criteria, healthyw8 will achieve the following objectives: 1. expand understanding of the biological causes underlying obesogenic trends \& interactions with crosscutting environmental, behavioural \& policy factors to propose evidence-based effective obesity prevention strategies. 2. develop user-centred portfolio interventions to enhance the impact on lifestyle changes in an efficient, synergistic, long-lasting \& sustainable way. 3. iteratively optimise the intervention strategies involving vulnerable populations/those undergoing transitions to maximise impact. 4. leverage findings to eu stakeholders \& foster the multilevel uptake of solutions \& strategies. accordingly, multi-disciplinary portfolios of interventions adaptable to the targeted populations, and further to the individual (anthropometry, general health aspects, inflammation, oxidative stress, epigenetics, omics, microbiota, dietary \& general consulting, healthy lifestyle recommender solutions - hlrs, human digital twin - hdt, policies recommendations, open stakeholder pltform - osp) will be developed. the focus on primary prevention, specifically the progression from healthy weight to overweight/obese, will allow targeting a broader population with a better cost/benefit ratio than secondary/tertiary preventions, though anticipating that the current portfolio approach and hlrs are adaptable to treatment scenarios also. after an inventory of best practises \& relevant levers for overweight/obesity prevention \& management existing literature evidence will be synthesised. a system map for obesity prevention for the different targeted vulnerable groups and for the hdt. via scoping, systematic and (umbrella-) reviews/meta-analyses, main drivers of the obesogenic environment will be highlighted. these findings will be integrated in a multi-actor participatory design approach (design thinking, dt) into the development of the hlrs and of the hdt. implementation of pilot trials (\ 65y) will be applied to validate the selected tool-assisted interventions by testing the hlrs and other health intervention strategies \& tools. outcomes will lead to iterative tool development and a roadmap for larger long-term intervention studies. long term rcts (12 months) with the same population groups will be conducted (n=55 per age group), compared vs. controls (n=55 per age group; receiving standard recommendations). populations will be replicated several times, participants longitudinally followed, and outcomes collected including: a) eating patterns (ffqs); b) markers related to obesity and comorbidities; c) lifestyle and cognitive aspects, psycho-emotional well-being (emotional guidance scale encompassing e.g. joy, appreciation, freedom, empowerment, despair, fear); d) technological acceptance and usability (mobile application rating scale). hence, we will apply a biopsychosocial understanding of obesity, integrating physiological, psychosocial, and contextual factors into one coherent model. many markers/measures will be identical between countries/populations (core-endpoints), some different due to local/population-required adaptations. main outcome will be to assess the effect of 1 y interventions with the hlrs described and further iteratively improved in pilot studies on reducing risk of overweight/obesity at various life-stages. secondary objectives will be to assess the effect of interventions on body composition and metabolic and other parameters.

Eligibility criteria:
inclusion criteria: * overweight (bmi between 25-30 kg/m\^2) * to have a smart phone exclusion criteria: * individuals with manifest chronic diseases * individuals with cognitive diseases * individuas not able to lead an independent life

Keywords: healthy lifestyle recommender system digital empowerment health literacy personalised prevention pre-obesity biomarkers mhealth human digital twin behavior change techniques physical activity