Patra Elena, Kokkinopoulou Anna, Wilson-Barnes Saskia, Hart Kathryn, Gymnopoulos Lazaros P, Tsatsou Dorothea, Solachidis Vassilios, Dimitropoulos Kosmas, Rouskas Konstantinos, Argiriou Anagnostis, Lalama Elena, Csanalosi Marta, Pfeiffer Andreas F H, Cornelissen Véronique, Decorte Elise, Dias Sofia Balula, Oikonomidis Yannis, María Botana José, Leoni Riccardo, Russell Duncan, Mantovani Eugenio, Aleksić Milena, Brkić Boris, Hassapidou Maria, Pagkalos Ioannis
Nutrition Information Systems Laboratory (NISLAB), Department of Nutritional Sciences and Dietetics, International Hellenic University, 57400 Thessaloniki, Greece.
School of Biosciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford GU2 7WG, UK.
Life (Basel). 2024 Sep 27;14(10):1238. doi: 10.3390/life14101238.
Mobile applications have been shown to be an effective and feasible intervention medium for improving healthy food intake in different target groups. As part of the PeRsOnalized nutriTion for hEalthy livINg (PROTEIN) European Union H2020 project, the PROTEIN mobile application was developed as an end-user environment, aiming to facilitate healthier lifestyles through artificial intelligence (AI)-based personalised dietary and physical activity recommendations. Recommendations were generated by an AI advisor for different user groups, combining users' personal information and preferences with a custom knowledge-based system developed by experts to create personalised, evidence-based nutrition and activity plans. The PROTEIN app was piloted across different user groups in five European countries (Belgium, Germany, Greece, Portugal, and the United Kingdom). Data from the PROTEIN app's user database ( = 579) and the PROTEIN end-user questionnaire ( = 446) were analysed using the chi-square test of independence to identify associations between personal goals, meal recommendations, and meal adherence among different gender, age, and user groups. The results indicate that weight loss-related goals are more prevalent, as well as more engaging, across all users. Health- and physical activity-related goals are key for increased meal adherence, with further differentiation evident between age and user groups. Congruency between user groups and their respective goals is also important for increased meal adherence. Our study outcomes, and the overall research framework created by the PROTEIN project, can be used to inform the future development of nutrition mobile applications and enable researchers and application designers/developers to better address personalisation for specific user groups, with a focus on user intent, as well as in-app features.
移动应用已被证明是一种有效且可行的干预媒介，可用于改善不同目标群体的健康食品摄入量。作为“健康生活个性化营养（PROTEIN）”欧盟“地平线2020”项目的一部分，PROTEIN移动应用被开发为一种终端用户环境，旨在通过基于人工智能（AI）的个性化饮食和身体活动建议来促进更健康的生活方式。建议由AI顾问为不同用户群体生成，将用户的个人信息和偏好与专家开发的基于自定义知识的系统相结合，以创建个性化的、基于证据的营养和活动计划。PROTEIN应用在五个欧洲国家（比利时、德国、希腊、葡萄牙和英国）的不同用户群体中进行了试点。使用独立性卡方检验分析了来自PROTEIN应用用户数据库（n = 579）和PROTEIN终端用户问卷（n = 446）的数据，以确定不同性别、年龄和用户群体之间个人目标、膳食建议和膳食依从性之间的关联。结果表明，与减肥相关的目标在所有用户中更为普遍，也更具吸引力。与健康和身体活动相关的目标是提高膳食依从性的关键，年龄和用户群体之间存在进一步的差异。用户群体与其各自目标之间的一致性对于提高膳食依从性也很重要。我们的研究结果以及PROTEIN项目创建的整体研究框架，可用于为营养移动应用的未来发展提供信息，并使研究人员和应用设计师/开发者能够更好地针对特定用户群体进行个性化设计，重点关注用户意图以及应用内功能。
