Research

Projects

The members of the laboratory collaborate in international and national research projects and research groups where the design and use of Nutrition Information Systems is studied, either at the Software (e.g. Web/Mobile Apps), Hardware (e.g. sensors/devices) or Policy level (e-Health / e-Government).

In addition to the high scientific level of research in these disciplines, the members of the lab also have many years of experience in authoring resarch articles, research proposals and designing, studying, implementing and administrating EU research projects in the field.

The laboratory and its team members have been involved in the following EU and national Projects:

Scientific Publications

• [PROTEIN] Patra E, Kokkinopoulou A, Wilson-Barnes S, Hart K, Gymnopoulos LP, Tsatsou D, Solachidis V, Dimitropoulos K, Rouskas K, Argiriou A, Lalama E, Csanalosi M, Pfeiffer A, Cornelissen V, Decorte E, Balula Dias S, Oikonomidis Y, Botana JM, Leoni R, Russel D, Mantovani E, Aleksic M, Brkic B, Hassapidou M and Pagkalos I., “Personal Goals, User Engagement, and Meal Adherence within a Personalised AI-Based Mobile Application for Nutrition and Physical Activity,” Life 2024; 14(10):1238. DOI: 10.3390/life14101238
• [WHO-COSI] NCD Risk Factor Collaboration (NCD-RisC), “General and abdominal adiposity and hypertension in eight world regions: a pooled analysis of 837 population-based studies with 7·5 million participants,” The Lancet, vol. 404, no. 10455, pp. 851–863, Aug. 2024 DOI: 10.1016/S0140-6736(24)01405-3
• [PROTEIN] Wilson-Barnes SL, Pagkalos I, Patra E, Kokkinopoulou A, Hassapidou M, Lalama E, Csanalosi M, Kabisch S, Pfeiffer AFH, DeCorte E, Cornelissen V, Bacelar P, Balula Dias S, Stefanidis K, Tsatsou D, Gymnopoulos L, Dimitropoulos K, Rouskas K, Argiriou N, Leoni R, Botana JM, Russell D, Lanham-New SA, Hart K, “The development of an EU-wide nutrition and physical activity expert knowledge base to support a personalised mobile application across various EU population groups,” Nutr Bull, May 2024 DOI: 10.1111/nbu.12673
• [WHO-COSI] NCD Risk Factor Collaboration (NCD-RisC), “Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population-representative studies with 222 million children, adolescents, and adults,” The Lancet, vol. 403, no. 10431, pp. 1027–1050, Mar. 2024 DOI: 10.1016/S0140-6736(23)02750-2
• [PROTEIN] E. Decorte, S. Wilson Barnes, K. Hart, K. Stefanidis, L. Gymnopoulos, K. Rouskas, A. Argiriou, R. Leoni, D. Russell, E. Lalama, A. F. H. Pfeiffer, I. Pagkalos, S. B. Dias, A. Batista, and V. Cornelissen, “A pilot trial guiding development and investigating feasibility and usability as well as preliminary effectiveness of the PROTEIN application: personalized nutrition for healthy living,” European Journal of Preventive Cardiology, vol. 30, no. Supplement_1, p. zwad125.220, Jun. 2023 DOI: 10.1093/eurjpc/zwad125.220
• [PROTEIN] M. Csanalosi, E. Lalama, S. Kabisch, S. Wilson-Barnes, K. Hart, K. Dimitropoulos, L. Gymnopoulos, P. Daras, A. Argiriou, M. Hassapidou, I. Pagkalos, R. Buys, V. Cornelissen, S. B. Dias, and A. Pfeiffer, “Personalized Nutrition for Healthy Living (PROTEIN-Study): Evaluation of a Mobile Application in Subjects with Type 2 Diabetes and Prediabetes,” in Diabetologie und Stoffwechsel, Georg Thieme Verlag, Apr. 2023, p. P 135 DOI: 10.1055/s-0043-1767997
• [WHO-COSI] NCD Risk Factor Collaboration (NCD-RisC), “Diminishing benefits of urban living for children and adolescents’ growth and development,” Nature, vol. 615, no. 7954, Art. no. 7954, Mar. 2023 DOI: 10.1038/s41586-023-05772-8
• [PROTEIN] E. Decorte, L. Gymnopoulos, K. Stefanidis, K. Dimitropoulos, D. Tsatsou, K. Rouskas, A. Argiriou, S. W. Barnes, S. L. New, K. Hart, R. Leoni, D. Russell, J. Konstantinova, E. Lalama, A. F. Pfeiffer, M. Csanalosi, M. Hassapidou, I. Pagkalos, S. B. Dias, A. Batista, E. Mantovani, B. Brkic, A. Bensenousi, and V. Cornelissen, “Beliefs and attitudes on healthy habits of patients showing interest in using PROTEIN, a health application for PeRsOnalized nutriTion for hEalthy livINg,” in ACTA CARDIOLOGICA, Brussels, Belgium: Taylor & Francis, Feb. 2023, pp. 36–37 Web link
• [PROTEIN] S.L. Wilson-Barnes, S.A. Lanham-New, L. Gymopoulos, V. Solachidis, K. Dimitopoulos, K. Rouskas, N. Argiriou, D. Tsatsou, J.M. Botana, R. Leoni, N. Merry, E. Lalama, A. Pfeiffer, M. Hassapidou, I. Pagkalos, E. Patra, V. Cornelissen, E. Decorte, S. Balula Dias, Y. Oikonomidis, E. Mantovani, M. Jaksic, B. Brkic, K. Hart, “The evaluation of a personalised nutrition and physical activity tool to facilitate lifestyle changes for adults with poor-quality diets,” Proceedings of the Nutrition Society, 82(OCE1), 2023, E42 DOI: 10.1017/S0029665123000502
• [PROTEIN] Stefanidis K, Tsatsou D, Konstantinidis D, Gymnopoulos L, Daras P, Wilson-Barnes S, Hart K, Cornelissen V, Decorte E, Lalama E, Pfeiffer A, Hassapidou M, Pagkalos I, Argiriou A, Rouskas K, Hadjidimitriou S, Charisis V, Dias SB, Diniz JA, Telo G, Silva H, Bensenousi A, Dimitropoulos K., “PROTEIN AI Advisor: A Knowledge-Based Recommendation Framework Using Expert-Validated Meals for Healthy Diets,” Nutrients. 2022; 14(20):4435 DOI: 10.3390/nu14204435
• [BigO] Tufford AR, Diou C, Lucassen DA, Ioakimidis I, O'Malley G, Alagialoglou L, Charmandari E, Doyle G, Filis K, Kassari P, Kechadi T, Kilintzis V, Kok E, Lekka I, Maglaveras N, Pagkalos I, Papapanagiotou V, Sarafis I, Shahid A, van 't Veer P, Delopoulos A, Mars M., “Toward Systems Models for Obesity Prevention: A Big Role for Big Data.”, Curr Dev Nutr.2022, Jul 30;6(9) DOI: 10.1093/cdn/nzac123
• [PROTEIN] Dias SB, Oikonomidis Y, Diniz JA, Baptista F, Carnide F, Bensenousi A, Botana JM, Tsatsou D, Stefanidis K, Gymnopoulos L, Dimitropoulos K, Daras P, Argiriou A, Rouskas K, Wilson-Barnes S, Hart K, Merry N, Russell D, Konstantinova J, Lalama E, Pfeiffer A, Kokkinopoulou A, Hassapidou M, Pagkalos I, Patra E, Buys R, Cornelissen V, Batista A, Cobello S, Milli E, Vagnozzi C, Bryant S, Maas S, Bacelar P, Gravina S, Vlaskalin J, Brkic B, Telo G, Mantovani E, Gkotsopoulou O, Iakovakis D, Hadjidimitriou S, Charisis V, Hadjileontiadis LJ. “Users’ Perspective on the AI-Based Smartphone PROTEIN App for Personalized Nutrition and Healthy Living: A Modified Technology Acceptance Model (mTAM) Approach”, Front Nutr. 2022 Jul 1;9:898031 DOI: 10.3389/fnut.2022.898031
• [PROTEIN] K.H. Hart, S. Wilson-Barnes, K. Stefanidis, D. Tsatsou, L. Gymnopoulos, K. Dimitropoulos, K. Rouskas, N. Argiriou, R. Leoni, D. Russell, J. Konstantinova, N. Merry, E. Lalama, A. Pfeiffer, M. Hassapidou, I. Pagkalos, E. Patra, R. Buys, V. Cornelissen, S. Balula Dias, A. Batista, E. Mantovani, B. Brkic, S. Lanham-New, “The suitability of dietary recommendations suggested By artificial intelligence technology via a novel personalised nutrition mobile application,” Proceedings of the Nutrition Society, vol. 81, no. OCE1, 2022. DOI: 10.1017/S0029665122000374
• [PROTEIN] D. Tsatsou, E. Lalama, S. L. Wilson-Barnes, K. Hart, V. Cornelissen, R. Buys, I. Pagkalos, S. Balula Dias, K. Dimitropoulos, P. Daras, “NAct: The Nutrition & Activity Ontology for Healthy Living,” in Formal Ontology in Information Systems: Proceedings of the Twelfth International Conference (FOIS 2021, 13-16 September 2021, Bozen-Bolzano, Italy), 2022, vol. 344, p. 129. DOI: 10.3233/FAIA210377
• [BigO] Fagerberg, P.; Charmandari, E.; Diou, C.; Heimeier, R.; Karavidopoulou, Y.; Kassari, P.; Koukoula, E.; Lekka, I.; Maglaveras, N.; Maramis, C.; et al. Fast Eating Is Associated with Increased BMI among High-School Students. Nutrients 2021, 13, 880. DOI: 10.1111/nbu.12673
• [WHO-COSI] NCD Risk Factor Collaboration (NCD-RisC), “Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight,” eLife, vol. 10, p. e60060, Mar. 2021 DOI: 10.7554/eLife.60060
• [WHO-COSI] NCD Risk Factor Collaboration (NCD-RisC), “Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories: a pooled analysis of 2181 population-based studies with 65 million participants,” The Lancet, vol. 396, no. 10261, pp. 1511–1524, Nov. 2020 DOI: 10.1016/S0140-6736(20)31859-6
• [BigO] C. Diou et al., "BigO: A public health decision support system for measuring obesogenic behaviors of children in relation to their local environment," 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Montreal, QC, Canada, 2020, pp. 5864-5867, 10.1109/EMBC44109.2020.9175361