Jóvenes universitarios, alimentación y aplicaciones móviles: una revisión de estudios
DOI:
https://doi.org/10.31637/epsir-2025-950Parole chiave:
App móvil, usabilidad, experiencia de usuario, personalización de contenido digital, nutrición, jóvenes, dieta mediterránea, saludAbstract
Introducción: Las apps son programas informáticos que se han convertido en herramientas imprescindibles en nuestra vida diaria. En el ámbito educativo, son aliadas para los estudiantes, potenciando su aprendizaje y motivación. En el caso de las apps de alimentación, pueden ayudarles a mantener una dieta equilibrada y a cuidar su salud. Metodología: revisión bibliográfica sobre estudios de apps de alimentación, publicados desde 2020 hasta 2024, en la base de datos Scopus. Resultados: Se presentan diversas propuestas de objeto de estudio, con diferentes metodologías, para evaluar la efectividad y usabilidad de apps móviles en la mejora de la dieta y hábitos alimenticios, analizando la calidad, privacidad y seguridad de los datos. Discusión: El uso de apps para seguimiento de la dieta está asociado con cambios positivos en la alimentación, como mayor ingesta de frutas y verduras; ayuda a tomar mejores decisiones; y promueve elecciones alimentarias más saludables a largo plazo. Conclusiones: Se deberían realizar estudios más profundos, entre universitarios durante los años que dura su formación, para valorar si una intervención de este tipo promueve una alimentación saludable y nutritiva y que se alejen de hábitos alimentarios tan perjudiciales para su salud como es la basada en alimentos ultra procesados.
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Riferimenti bibliografici
Alnooh, G., Alessa, T., Noorwali, E., Albar, S., Williams, E., de Witte, L. P. y Hawley, M. S. (2023). Identification of the Most Suitable Mobile Apps to Support Dietary Approaches to Stop Hypertension (DASH) Diet Self-Management: Systematic Search of App Stores and Content Analysis. Nutrients, 15, 15. https://doi.org/10.3390/nu15153476 DOI: https://doi.org/10.3390/nu15153476
Álvarez-Herrero, J. F., Martínez-Roig, R. y Urrea-Solano, M. (2022). Eficacia de las aplicaciones de análisis de alimentos en la reconducción hacia una alimentación saludable del alumnado universitario. Retos, 45, 1087-1098. https://recyt.fecyt.es/index.php/retos/article/view/91376 DOI: https://doi.org/10.47197/retos.v45i0.91376
Aslanova, M. S., Valieva, A. S., Bogacheva, N. V. y Skupova, A. M. (2024). Mobile Food Tracking Apps: Do they Provoke Disordered Eating Behavior? Results of a Longitudinal Study. Psychology in Russia: State of the Art, 17(1). https://psychologyinrussia.com/volumes/index.php?article=12085 DOI: https://doi.org/10.11621/pir.2024.0104
Banerjee, P., Mendu, V. V. R., Korrapati, D. y Gavaravarapu, S. R. M. (2020). Calorie counting smart phone apps: Effectiveness in nutritional awareness, lifestyle modification and weight management among young Indian adults. Health Informatics Journal, 26(2), 816-828. https://doi.org/10.1177/1460458219852531 DOI: https://doi.org/10.1177/1460458219852531
Battiato, S., Caponnetto, P., Leotta, R., Marotta, G., Midolo, A., Ortis, A. y Polosa, R. (2023). Development and User Evaluation of a Food-recognition app (FoodRec): Experimental Data and Qualitative Analysis. Health Psychology Research, 11(1). https://doi.org/10.52965/001c.70401 DOI: https://doi.org/10.52965/001c.70401
Béjar, L. M., Mesa-Rodríguez, P. y García-Perea, M. D. (2024). Short-Term Effect of a Health Promotion Intervention Based on the Electronic 12-Hour Dietary Recall (e-12HR) Smartphone App on Adherence to the Mediterranean Diet Among Spanish Primary Care Professionals: Randomized Controlled Clinical Trial. JMIR MHealth and UHealth, 12(1). https://doi.org/10.2196/49302 DOI: https://doi.org/10.2196/49302
Blajovan, B. L., Chiril, O. S., Stănescu, D. y Marcu, M. G. (2023). FoodMedicine - Android-based food recognition app for guiding patients with nutritional diseases. 2023 27th International Conference on System Theory, Control and Computing, ICSTCC 2023 - Proceedings, 167–172. https://doi.org/10.1109/ICSTCC59206.2023.10308507 DOI: https://doi.org/10.1109/ICSTCC59206.2023.10308507
Brown, J. M., Franco-Arellano, B., Froome, H., Siddiqi, A., Mahmood, A. y Arcand, J. A. (2022). The Content, Quality, and Behavior Change Techniques in Nutrition-Themed Mobile Apps for Children in Canada: App Review and Evaluation Study. JMIR MHealth and UHealth, 10(2). https://doi.org/10.2196/31537 DOI: https://doi.org/10.2196/31537
Brown, J. M., Savaglio, R., Watson, G., Kaplansky, A., LeSage, A., Hughes, J., Kapralos, B. y Arcand, J. A. (2020). Optimizing child nutrition education with the foodbot factory mobile health app: formative evaluation and analysis. JMIR Formative Research, 4(4). https://doi.org/10.2196/15534 DOI: https://doi.org/10.2196/15534
Chew, H. S. J., Chew, N. W. S., Ern Loong, S. S., Lim, S. L., Wilson Tam, W. S., Chin, Y. H., Chao, A. M., Dimitriadis, G. K., Gao, Y., Yan So, J. B., Shabbir, A. y Ngiam, K. Y. (2024). Effectiveness of an artificial intelligence-assisted app for improving eating behaviors: Mixed methods evaluation. Journal of Medical Internet Research, 26. https://doi.org/10.2196/46036 DOI: https://doi.org/10.2196/46036
Choi, J., Chung, C. y Woo, H. (2021). Diet-related mobile apps to promote healthy eating and proper nutrition: A content analysis and quality assessment. International Journal of Environmental Research and Public Health, 18(7). https://doi.org/10.3390/ijerph18073496 DOI: https://doi.org/10.3390/ijerph18073496
Chung, L. M. Y., Fong, S. S. M. y Law, Q. P. S. (2021). Younger adults are more likely to increase fruit and vegetable consumption and decrease sugar intake with the application of dietary monitoring. Nutrients, 13(2), 1-12. https://doi.org/10.3390/nu13020333 DOI: https://doi.org/10.3390/nu13020333
Cuello, J. y Vittone, J. (2013). Diseñad apps para móviles. www.appdesignbook.com
Deliparaschos, K. M., Michail, K. y Zolotas, A. C. (2020). Facilitating autonomous systems with AI-based fault tolerance and computational resource economy. Electronics, 9(5). https://doi.org/10.3390/electronics9050788 DOI: https://doi.org/10.3390/electronics9050788
Díaz, I. A., Pilar, M., Reche, C., Manuel, J., Torres, T., María, J. y Rodríguez, R. (2019). Impacto de las apps móviles en la actividad física: un meta-análisis. Retos. www.retos.org
Francis, L., Spaulding, E. M., Bloom, I., Patel, A. y Perrin, N. (2023). A systematic appraisal of the information, engagement, aesthetic and functional quality of nutrition-related smartphone apps for children and adolescents. Public Health Nutrition, 26(7), 1368-1379. https://doi.org/10.1017/S1368980023000526 DOI: https://doi.org/10.1017/S1368980023000526
Franco, R. Z., Fallaize, R., Weech, M., Hwang, F. y Lovegrove, J. A. (2022). Effectiveness of Web-Based Personalized Nutrition Advice for Adults Using the eNutri Web App: Evidence From the EatWellUK Randomized Controlled Trial. Journal of Medical Internet Research, 24(4). https://doi.org/10.2196/29088 DOI: https://doi.org/10.2196/29088
Gioia, S., Vlasac, I. M., Babazadeh, D., Fryou, N. L., Do, E., Love, J., Robbins, R., Dashti, H. S. y Lane, J. M. (2023). Mobile Apps for Dietary and Food Timing Assessment: Evaluation for Use in Clinical Research. JMIR Formative Research, 7. https://doi.org/10.2196/35858 DOI: https://doi.org/10.2196/35858
Jain, D., Uphade, A., Ugale, S., Kumbhar, S. y Wangikar, V. C. (2024). Food image recognition and volume estimation: A comprehensive study for dietary assessment. Conferencia Internacional IEEE sobre Internet de las Cosas y Tecnologías Conectadas Inteligentes (I2CT), 1-8. https://doi.org/10.1109/i2ct61223.2024.10543812 DOI: https://doi.org/10.1109/I2CT61223.2024.10543812
Kim, J., Kim, H., Lee, J., Ko, H., Jung, S. Y., Kim, H. J., Wie, G. A. y Kim, Y. (2022). Comparison of energy and macronutrients between a mobile application and a conventional dietary assessment method in Korea. Journal of the Academy of Nutrition and Dietetics, 122(11), 2127-2133. https://doi.org/10.1016/j.jand.2022.04.007 DOI: https://doi.org/10.1016/j.jand.2022.04.007
Lazar, J., Feng, J. H. y Hochheiser, H. (2010). Research methods in human-computer interaction. Wiley.
Marín Marín, J. A., Hinojo Lucena, M. A. y Alonso García, S. (2016). Apps para recordar, comprender, aplicar, analizar, evaluar y crear. Revista de Educación a Distancia, 909-910.
Martinon, P., Saliasi, I., Bourgeois, D., Smentek, C., Dussart, C., Fraticelli, L. y Carrouel, F. (2022). Nutrition-related mobile apps in the French app stores: Assessment of functionality and quality. JMIR mHealth and uHealth, 10(3). https://doi.org/10.2196/34266 DOI: https://doi.org/10.2196/35879
Mistura, L., Azcarraga, F. J. C., D’Addezio, L., Martone, D. y Turrini, A. (2021). An Italian case study for assessing nutrient intake through nutrition-related mobile apps. Nutrients, 13(9). https://doi.org/10.3390/nu13093073 DOI: https://doi.org/10.3390/nu13093073
Molina Ríos, J. R., Honores Tapia, J. A., Pedreira-Souto, N. y Pardo León, H. P. (2021). Comparativa de metodologías de desarrollo de aplicaciones móviles. 3C Tecnología_Glosas de Innovación Aplicadas a La Pyme, 10(2), 73-93. https://doi.org/10.17993/3ctecno/2021.v10n2e38.73-93 DOI: https://doi.org/10.17993/3ctecno/2021.v10n2e38.73-93
Nickerson, R., Varshney, U., Muntermann, J. y Isaac, H. (2007). Towards a Taxonomy of Mobile Applications. AMCIS 2007 Proceedings, 338. http://aisel.aisnet.org/amcis2007/338
O’Brien, H. L. y Toms, E. G. (2008). What is user engagement? A conceptual framework for defining user engagement with technology. Journal of the American Society for Information Science and Technology, 59(6), 938-955. https://doi.org/10.1002/asi.20801 DOI: https://doi.org/10.1002/asi.20801
Ocké, M., Dinnissen, C., Stafleu, A., de Vries, J. y van Rossum, C. (2021). Relative validity of mijneetmeter: A food diary app for self-monitoring of dietary intake. Nutrients, 13(4). https://doi.org/10.3390/nu13041135 DOI: https://doi.org/10.3390/nu13041135
Peña Ibarra, I. (2017). Hybrid Development Platforms [Trabajo Fin de Grado, Universidad Politécnica de Madrid]. https://oa.upm.es/45208
Recio-Rodriguez, J. I., Gómez-Marcos, M. A., Agudo-Conde, C., Ramirez, I., Gonzalez-Viejo, N., Gomez-Arranz, A., Salcedo-Aguilar, F., Rodriguez-Sanchez, E., Alonso-Domínguez, R., Sánchez-Aguadero, N., Gonzalez-Sanchez, J. y Garcia-Ortiz, L. (2018). EVIDENT 3 study: A randomized, controlled clinical trial to reduce inactivity and caloric intake in sedentary and overweight or obese people using a smartphone application: Study protocol. Medicine, 97(2). https://doi.org/10.1097/MD.0000000000009633 DOI: https://doi.org/10.1097/MD.0000000000009633
Samoggia, A. y Riedel, B. (2020). Assessment of nutrition-focused mobile apps’ influence on consumers’ healthy food behaviour and nutrition knowledge. Food Research International, 128. https://doi.org/10.1016/j.foodres.2019.108766 DOI: https://doi.org/10.1016/j.foodres.2019.108766
Schaafsma, H. N., Jantzi, H. A., Seabrook, J. A., McEachern, L. W., Burke, S. M., Irwin, J. D. y Gilliland, J. A. (2024). The impact of smartphone app–based interventions on adolescents’ dietary intake: a systematic review and evaluation of equity factor reporting in intervention studies. Nutrition Reviews, 82(4), 467-486. https://doi.org/10.1093/nutrit/nuad058 DOI: https://doi.org/10.1093/nutrit/nuad058
Singh, M. K. K. y Samah, N. A. (2018). Impact of Smartphone: A Review on Positive and Negative Effects on Students. Asian Social Science, 14(11), 83. https://doi.org/10.5539/ass.v14n11p83 DOI: https://doi.org/10.5539/ass.v14n11p83
Srivastava, R., Kushwaha, S., Khanna, P., Gupta, M., Bharti, B. y Jain, R. (2022). Comprehensive overview of smartphone applications delivering child nutrition information. Nutrition, 103-104. https://doi.org/10.1016/j.nut.2022.111773 DOI: https://doi.org/10.1016/j.nut.2022.111773
Stehr, P., Karnowski, V. y Rossmann, C. (2020). The multi-faceted usage patterns of nutrition apps: a survey on the appropriation of nutrition apps among German-speaking users of MyFitnessPal. BMC Medical Informatics and Decision Making, 20(1). https://doi.org/10.1186/s12911-020-01294-9 DOI: https://doi.org/10.1186/s12911-020-01294-9
Truman, E. y Elliott, C. (2022). Testing a Mobile App for Participatory Research to Identify Teen-Targeted Food Marketing: Mixed Methods Study. JMIR Formative Research, 6(5). https://doi.org/10.2196/35886 DOI: https://doi.org/10.2196/35886
Ufholz, K. y Werner, J. (2023). The efficacy of mobile applications for weight loss. Current Cardiovascular Risk Reports, 17(4), 83-90. https://doi.org/10.1007/s12170-023-00717-2 DOI: https://doi.org/10.1007/s12170-023-00717-2
Van der Haar, S., Raaijmakers, I., Verain, M. C. D. y Meijboom, S. (2023). Incorporating Consumers’ Needs in Nutrition Apps to Promote and Maintain Use: Mixed Methods Study. JMIR MHealth and UHealth, 11. https://doi.org/10.2196/39515 DOI: https://doi.org/10.2196/preprints.39515
Vasiloglou, M. F., Christodoulidis, S., Reber, E., Stathopoulou, T., Lu, Y., Stanga, Z. y Mougiakakou, S. (2021). Perspectives and preferences of adult smartphone users regarding nutrition and diet apps: Web-based survey study. JMIR mHealth and uHealth, 9(7). https://doi.org/10.2196/27885 DOI: https://doi.org/10.2196/27885
Vázquez-Paz, A. M., Michel-Nava, R. M., Delgado-Pérez, E. E., Lares-Michel, M. y Espinosa-Curiel, I. E. (2022). Parents’ mHealth App for Promoting Healthy Eating Behaviors in Children: Feasibility, Acceptability, and Pilot Study. Journal of Medical Systems, 46(11). https://doi.org/10.1007/s10916-022-01860-w DOI: https://doi.org/10.1007/s10916-022-01860-w
Weech, M., Fallaize, R., Kelly, E., Hwang, F., Franco, R. Z. y Lovegrove, J. A. (2023). Nutrition and weight loss apps. En Smartphone Apps for Health and Wellness (pp. 93-115). Elsevier. https://doi.org/10.1016/B978-0-323-99271-8.00006-1 DOI: https://doi.org/10.1016/B978-0-323-99271-8.00006-1
Werle, C. O. C., Gauthier, C., Yamim, A. P. y Bally, F. (2024). How a food scanner app influences healthy food choice. Appetite, 200. https://doi.org/10.1016/j.appet.2024.107571 DOI: https://doi.org/10.1016/j.appet.2024.107571
Wunsch, K., Eckert, T., Fiedler, J., Cleven, L., Niermann, C., Reiterer, H., Renner, B. y Woll, A. (2020). Effects of a collective family-based mobile health intervention called “SMARTFAMILY" on promoting physical activity and healthy eating: Protocol for a randomized controlled trial. JMIR Research Protocols, 9(11). https://doi.org/10.2196/20534 DOI: https://doi.org/10.2196/20534
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