[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100632486":3},{"organization":4,"armGroups":7,"interventions":19,"overallOfficials":25,"centralContacts":32,"locations":18,"responsibleParty":42,"collaborators":18,"id":46,"slug":47,"hasResults":48,"nctId":49,"briefTitle":50,"officialTitle":51,"acronym":52,"eligibilityCriteria":53,"healthyVolunteers":54,"sex":55,"minAge":56,"maxAge":57,"enrollmentInfo":58,"targetDuration":18,"studyType":61,"phases":62,"briefSummary":64,"conditions":65,"keywords":71,"overallStatus":81,"whyStopped":18,"lastUpdateSubmitDate":82,"lastUpdatePostDateStruct":83,"startDateStruct":86,"completionDateStruct":88,"leadSponsor":90,"locationsCount":18},{"fullName":5,"class":6},"Istanbul Gelisim University","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"Intervention group (artificial intelligence-supported, context-aware digital nudging intervention)","EXPERIMENTAL","Participants receive an artificial intelligence (AI)-supported, context-aware digital nudging intervention designed to reduce ultra-processed food (UPF) consumption. The system uses real-time dietary and contextual data to deliver personalized behavioural prompts.",[13],"Behavioral: Artificial intelligence-supported digital nudging",{"label":15,"type":16,"description":17,"interventionNames":18},"Control group (Digital platform without nudging)","NO_INTERVENTION","Participants have access to the digital platform without active nudging components. No personalized behavioural prompts are delivered.",null,[20],{"type":21,"name":22,"description":23,"armGroupLabels":24,"otherNames":18},"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.",[9],[26,30],{"name":27,"affiliation":28,"role":29},"Elena Milli, PhD","Polo Europeo della Conoscenza - Istituto Comprensivo di Bosco Chiesanuova","STUDY_CHAIR",{"name":31,"affiliation":28,"role":29},"Stefano Cobello, PhD",[33,38],{"name":34,"role":35,"phone":36,"phoneExt":18,"email":37},"HATİCE MERVE BAYRAM, PhD","CONTACT","+905549915658","hmbayram@gelisim.edu.tr",{"name":39,"role":35,"phone":40,"phoneExt":18,"email":41},"Arda OZTURKCAN, PhD","05356068687","sozturkcan@gelisim.edu.tr",{"type":43,"investigatorFullName":44,"investigatorTitle":45,"investigatorAffiliation":5,"oldNameTitle":18,"oldOrganization":18},"PRINCIPAL_INVESTIGATOR","Hatice Merve Bayram","Associate Professor","100632486","sustainable-and-ai-enabled-adolescents-and-youth-centred-interventions-to-upgrade-food-choices-and-promote-healthy-sustainable-diets-100632486",false,"NCT07514312","Sustainable and AI-Enabled Adolescents and Youth-Centred Interventions to Upgrade Food Choices and Promote Healthy, Sustainable Diets","AI-Supported, Context-Aware Digital Nudging Intervention to Reduce Ultra-Processed Food Consumption and Improve Dietary Sustainability Among Adolescents and Young Adults (STAY-UP)","STAY-UP","Inclusion Criteria:\n\n* Adolescents aged 12 to 25 years\n* Ownership of a smartphone or regular access to a digital device\n* Ability to use the digital intervention platform\n* Willingness to provide informed consent (and parental consent where applicable)\n* Regular consumption of ultra-processed foods at baseline\n\nExclusion Criteria:\n\n* Presence of medical conditions requiring a specific therapeutic diet\n* Participation in another dietary or behavioral intervention study\n* Severe cognitive or psychological conditions that may impair participation\n* Inability to use digital tools or applications",true,"ALL","12 Years","25 Years",{"count":59,"type":60},1000,"ESTIMATED","INTERVENTIONAL",[63],"NA","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.",[66,67,68,69,70],"Ultra-Processed Food Consumption","Obesity Prevention","Dietary Behaviour","Unhealthy Diet","Non-Communicable Chronic Diseases",[72,73,74,75,76,77,78,79,80],"Ultra-Processed Food","Digital Intervention","Artificial Intelligence","Dietary Behavior","Adolescents","Young Adults","Nutrition","Sustainability","non-communicable disease","NOT_YET_RECRUITING","2026-03-31",{"date":84,"type":85},"2026-04-07","ACTUAL",{"date":87,"type":60},"2026-09-16",{"date":89,"type":60},"2028-06-30",{"name":5,"class":6}]