Sustainable and AI-Enabled Adolescents and Youth-Centred Interventions to Upgrade Food Choices and Promote Healthy, Sustainable Diets
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: Artificial intelligence-supported digital nudging.
- Who it may be relevant to
- Registry conditions: Ultra-Processed Food Consumption, Obesity Prevention, Dietary Behaviour, Unhealthy Diet. Basic parameters: 12 years — 25 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- Center list to be confirmed — check the primary protocol.
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Official title
AI-Supported, Context-Aware Digital Nudging Intervention to Reduce Ultra-Processed Food Consumption and Improve Dietary Sustainability Among Adolescents and Young Adults (STAY-UP)
Overview
This study aims to evaluate the effectiveness of an artificial intelligence (AI)-supported, context-aware digital nudging intervention designed to reduce ultra-processed food consumption and improve dietary sustainability among adolescents and young adults. The intervention utilizes real-time behavioral data, including image-assisted dietary logging and contextual information, to identify high-risk consumption moments and deliver personalized, non-coercive nudges. The study will assess changes in ultra-processed food intake, contextual consumption patterns, and sustainability-related dietary indicators.
Detailed description
This study investigates the effectiveness of an artificial intelligence (AI)-supported, context-aware digital intervention targeting ultra-processed food (UPF) consumption among adolescents and young adults. UPF consumption has been identified as a major contributor to non-communicable diseases and is associated with significant environmental impacts. However, existing digital nutrition interventions largely rely on static, nutrient-based approaches and do not adequately capture real-life behavioral contexts.
The intervention integrates image-assisted dietary logging, contextual data collection (including time, location, and social setting), and explainable artificial intelligence to identify high-risk moments of UPF consumption. Based on these insights, the system delivers adaptive, personalized digital nudges designed to support healthier and more sustainable food choices without restricting user autonomy.
The study follows a controlled evaluation design to assess the effectiveness of the intervention. Primary outcomes include changes in context-specific UPF consumption patterns, while secondary outcomes include overall dietary quality, sustainability-related indicators (such as environmental impact proxies), and user engagement metrics.
This research aims to provide evidence for scalable, ethically governed digital health interventions that integrate behavioral science, nutrition, and sustainability within real-life settings
Interventions
- Behavioral Artificial intelligence-supported digital nudging
A context-aware digital intervention delivering personalized nudges based on real-time dietary behavior and contextual data to reduce ultra-processed food consumption.
Primary outcome measures
- Change in ultra-processed food consumption (servings per day) [Time frame: From baseline to 10 months and 20 months]
Secondary outcome measures (4)
- Change in frequency of ultra-processed food consumption (times per day) [Time frame: From baseline to 10 months and 20 months]
- Change in proportion of ultra-processed food consumption (% of total intake) [Time frame: From baseline to 10 months and 20 months]
- Change in temporal eating patterns (eating occasions per day and timing) [Time frame: From baseline to 10 months and 20 months]
- Change in context-specific dietary behaviours (categorical variables) [Time frame: From baseline to 10 months and 20 months]
Eligibility criteria
Inclusion criteria
- Adolescents aged 12 to 25 years
- Ownership of a smartphone or regular access to a digital device
- Ability to use the digital intervention platform
- Willingness to provide informed consent (and parental consent where applicable)
- Regular consumption of ultra-processed foods at baseline
Exclusion criteria
- Presence of medical conditions requiring a specific therapeutic diet
- Participation in another dietary or behavioral intervention study
- Severe cognitive or psychological conditions that may impair participation
- Inability to use digital tools or applications
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: Yes
Study design
- Allocation
- Non-randomized
- Model
- Parallel assignment
- Masking
- Open label
- Primary purpose
- Prevention
Study locations
Center list to be confirmed — check the primary protocol.
Identifiers
NCT: NCT07514312 · STAYUP-IGU-2026-CT01