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Набор скоро начнётся NCT07514312

Sustainable and AI-Enabled Adolescents and Youth-Centred Interventions to Upgrade Food Choices and Promote Healthy, Sustainable Diets

Без фазы С лечением Ultra-Processed Food Consumption Obesity Prevention Dietary Behaviour Unhealthy Diet

Ориентир для пациента и семьи

Простыми словами

Автоматическая сводка по структурированным данным реестра. Она помогает сориентироваться, но не заменяет официальный протокол или оценку врача.

Что изучают
В протоколе указаны: Artificial intelligence-supported digital nudging.
Кому может быть актуально
Состояния в реестре: Ultra-Processed Food Consumption, Obesity Prevention, Dietary Behaviour, Unhealthy Diet. Базовые параметры: 12 лет — 25 лет · Все.
Что важно проверить
Возраст, диагноз и пол — только базовые ориентиры. Предыдущее лечение, анализы и другие обязательные условия указаны ниже в критериях участия.
Где проводится
Список центров уточняется — проверьте первичный протокол.
Следующий шаг
Сохраните исследование, покажите его лечащему врачу и уточните актуальный статус у исследовательского центра. Расходы, документы и поездка →

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Официальное название

AI-Supported, Context-Aware Digital Nudging Intervention to Reduce Ultra-Processed Food Consumption and Improve Dietary Sustainability Among Adolescents and Young Adults (STAY-UP)

Обзор

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.

Подробное описание

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

Вмешательства

  • Поведенческое 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.

Первичные конечные точки

  • Change in ultra-processed food consumption (servings per day) [Срок оценки: From baseline to 10 months and 20 months]
Вторичные конечные точки (4)
  • Change in frequency of ultra-processed food consumption (times per day) [Срок оценки: From baseline to 10 months and 20 months]
  • Change in proportion of ultra-processed food consumption (% of total intake) [Срок оценки: From baseline to 10 months and 20 months]
  • Change in temporal eating patterns (eating occasions per day and timing) [Срок оценки: From baseline to 10 months and 20 months]
  • Change in context-specific dietary behaviours (categorical variables) [Срок оценки: From baseline to 10 months and 20 months]

Критерии участия

Критерии включения

  • 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

Критерии исключения

  • 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

Критерии приведены из реестра в оригинале (на английском). Окончательную оценку соответствия проводит исследовательский центр.

Здоровые добровольцы: Да

Дизайн исследования

Распределение
Нерандомизированное
Модель
Параллельные группы
Маскирование
Открытое
Основная цель
Профилактика

Центры проведения

Список центров уточняется — проверьте первичный протокол.

Идентификаторы

NCT: NCT07514312 · STAYUP-IGU-2026-CT01

Первоисточники (государственные реестры)

Открыть это исследование на ClinicalTrials.gov ↗