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Article

Personal Goals, User Engagement, and Meal Adherence within a Personalised AI-Based Mobile Application for Nutrition and Physical Activity

by
Elena Patra
1,*,
Anna Kokkinopoulou
1,
Saskia Wilson-Barnes
2,
Kathryn Hart
2,
Lazaros P. Gymnopoulos
3,
Dorothea Tsatsou
3,
Vassilios Solachidis
3,
Kosmas Dimitropoulos
3,
Konstantinos Rouskas
3,
Anagnostis Argiriou
3,
Elena Lalama
4,
Marta Csanalosi
4,
Andreas F. H. Pfeiffer
4,
Véronique Cornelissen
5,
Elise Decorte
5,
Sofia Balula Dias
6,
Yannis Oikonomidis
7,
José María Botana
8,
Riccardo Leoni
9,
Duncan Russell
10,
Eugenio Mantovani
11,
Milena Aleksić
12,
Boris Brkić
12,
Maria Hassapidou
1 and
Ioannis Pagkalos
1,*add Show full author list remove Hide full author list
1
Nutrition Information Systems Laboratory (NISLAB), Department of Nutritional Sciences and Dietetics, International Hellenic University, 57400 Thessaloniki, Greece
2
School of Biosciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford GU2 7WG, UK
3
Centre for Research & Technology Hellas, 57001 Thessaloniki, Greece
4
Department of Endocrinology and Metabolic Diseases, Charité-Universitätsmedizin Berlin, 10117 Berlin, Germany
5
Department of Rehabilitation Sciences, KU Leuven, 3001 Leuven, Belgium
6
Interdisciplinary Centre for the Study of Human Performance (CIPER), Faculdade de Motricidade Humana, Universidade de Lisboa, 1499-002 Lisbon, Portugal
7
Intrasoft International S.A., 55535 Thessaloniki, Greece
8
CGI Information Systems and Management Consultants S.A., 28050 Madrid, Spain
9
Datawizard, 00138 Rome, Italy
10
Ocado Group, Hatfield, London AL10 9UL, UK
11
Research Group on Law, Science, Technology and Society, Faculty of Law & Criminology, Vrije Universiteit Brussel, 1050 Brussels, Belgium
12
Research and Development Institute for Information Technology in Biosystems, BioSense Institute, 21000 Novi Sad, Serbia
 
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*
Authors to whom correspondence should be addressed.
Life 2024, 14(10), 1238; https://doi.org/10.3390/life14101238
Submission received: 3 June 2024 / Revised: 23 September 2024 / Accepted: 23 September 2024 / Published: 27 September 2024
(This article belongs to the Special Issue Personalized Prevention and Treatment in Endocrinology, Diabetes and Metabolic Diseases)
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Abstract

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 (n = 579) and the PROTEIN end-user questionnaire (n = 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.
Keywords: personalised nutrition; mobile health; AI-based personalisation; food choice drivers personalised nutrition; mobile health; AI-based personalisation; food choice drivers

Share and Cite

MDPI and ACS Style

Patra, E.; Kokkinopoulou, A.; Wilson-Barnes, S.; Hart, K.; Gymnopoulos, L.P.; Tsatsou, D.; Solachidis, V.; Dimitropoulos, K.; Rouskas, K.; Argiriou, A.; et al. Personal Goals, User Engagement, and Meal Adherence within a Personalised AI-Based Mobile Application for Nutrition and Physical Activity. Life 2024, 14, 1238. https://doi.org/10.3390/life14101238

AMA Style

Patra E, Kokkinopoulou A, Wilson-Barnes S, Hart K, Gymnopoulos LP, Tsatsou D, Solachidis V, Dimitropoulos K, Rouskas K, Argiriou A, et al. Personal Goals, User Engagement, and Meal Adherence within a Personalised AI-Based Mobile Application for Nutrition and Physical Activity. Life. 2024; 14(10):1238. https://doi.org/10.3390/life14101238

Chicago/Turabian Style

Patra, Elena, Anna Kokkinopoulou, Saskia Wilson-Barnes, Kathryn Hart, Lazaros P. Gymnopoulos, Dorothea Tsatsou, Vassilios Solachidis, Kosmas Dimitropoulos, Konstantinos Rouskas, Anagnostis Argiriou, and et al. 2024. "Personal Goals, User Engagement, and Meal Adherence within a Personalised AI-Based Mobile Application for Nutrition and Physical Activity" Life 14, no. 10: 1238. https://doi.org/10.3390/life14101238

APA Style

Patra, E., Kokkinopoulou, A., Wilson-Barnes, S., Hart, K., Gymnopoulos, L. P., Tsatsou, D., Solachidis, V., Dimitropoulos, K., Rouskas, K., Argiriou, A., Lalama, E., Csanalosi, M., Pfeiffer, A. F. H., Cornelissen, V., Decorte, E., Dias, S. B., Oikonomidis, Y., María Botana, J., Leoni, R., ... Pagkalos, I. (2024). Personal Goals, User Engagement, and Meal Adherence within a Personalised AI-Based Mobile Application for Nutrition and Physical Activity. Life, 14(10), 1238. https://doi.org/10.3390/life14101238

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