The Use of Mobile Applications in Health Promotion and Disease Prevention
DOI:
https://doi.org/10.15503/emet2026.1.9.13Keywords:
mHealth, mobile health applications, noncommunicable diseases, disease prevention, health promotion, digital health, lifestyle interventionsAbstract
Thesis. Mobile health applications can support the prevention of noncommunicable diseases by facilitating self-monitoring, encouraging healthier behaviours, and extending preventive support beyond conventional healthcare settings; however, their public health value depends on sustained engagement, reliable evidence, data protection, and equitable access.
Concept. This narrative review synthesizes peer-reviewed studies and reports concerning mobile applications used to address major modifiable risk factors for noncommunicable diseases. It considers applications supporting physical activity, nutrition and weight management, and the monitoring of physiological parameters, while examining their functions, documented benefits, and implementation challenges.
Results and conclusion. The reviewed evidence indicates that mHealth applications can improve physical activity, dietary behaviours, weight management, and selected physiological outcomes, particularly when they incorporate goal setting, personalized feedback, reminders, gamification, and integration with wearable devices. Nevertheless, effects vary across interventions and populations, and long-term adherence frequently declines. Concerns regarding measurement accuracy, limited clinical validation, privacy and security, unequal digital access, and the geographical concentration of the evidence restrict broader implementation and generalizability. Mobile applications should therefore complement rather than replace professionally delivered prevention and should be integrated into public health systems using evidence-based, interoperable, secure, and user-centred approaches.
Originality. The article provides an integrated public health perspective that connects the preventive functions of mHealth applications with the behavioural, technological, ethical, and equity-related conditions required for their responsible use in noncommunicable disease prevention.
Keywords: mHealth, mobile health applications, noncommunicable diseases, disease prevention, health promotion, digital health, lifestyle interventions
Downloads
References
, T., Rehman, S. U., Khan, M. A., & Istepanian, R. S. H. (2024). The evolution and mapping trends of mobile health (m-Health): A bibliometric analysis (1997–2023). mHealth, 10, 23. https://doi.org/10.21037/mhealth-23-20
Baumel, A., Muench, F., Edan, S., & Kane, J. M. (2019). Objective user engagement with mental health apps: Systematic search and panel-based usage analysis. Journal of Medical Internet Research, 21(9), Article e14567. https://doi.org/10.2196/14567
Bort-Roig, J., Gilson, N. D., Puig-Ribera, A., Contreras, R. S., & Trost, S. G. (2014). Measuring and influencing physical activity with smartphone technology: A systematic review. Sports Medicine, 44(5), 671–686. https://doi.org/10.1007/s40279-014-0142-5
Brown, W., III, Yen, P.-Y., Rojas, M., & Schnall, R. (2013). Assessment of the Health IT Usability Evaluation Model (Health-ITUEM) for evaluating mobile health (mHealth) technology. Journal of Biomedical Informatics, 46(6), 1080–1087. https://doi.org/10.1016/j.jbi.2013.08.001
Cao, J., Lim, Y., Sengoku, S., Guo, X., & Kodama, K. (2021). Exploring the shift in international trends in mobile health research from 2000 to 2020: Bibliometric analysis. JMIR mHealth and uHealth, 9(9), Article e31097. https://doi.org/10.2196/31097
Carter, M. C., Burley, V. J., Nykjaer, C., & Cade, J. E. (2013). Adherence to a smartphone application for weight loss compared to website and paper diary: Pilot randomized controlled trial. Journal of Medical Internet Research, 15(4), Article e32. https://doi.org/10.2196/jmir.2283
Chandrasekaran, R., Katthula, V., & Moustakas, E. (2020). Patterns of use and key predictors for the use of wearable health care devices by US adults: Insights from a national survey. Journal of Medical Internet Research, 22(10), Article e22443. https://doi.org/10.2196/22443
Chavez-Ecos, F. A., Chavez-Ecos, R., Vergara Sanchez, C., Chavez-Gutarra, M. A., Agarwala, A., & Camacho-Caballero, K. (2024). Mobile health apps for cardiovascular risk assessment: A systematic review. Frontiers in Cardiovascular Medicine, 11, Article 1420274. https://doi.org/10.3389/fcvm.2024.1420274
Direito, A., Carraça, E., Rawstorn, J., Whittaker, R., & Maddison, R. (2017). mHealth technologies to influence physical activity and sedentary behaviors: Behavior change techniques, systematic review and meta-analysis of randomized controlled trials. Annals of Behavioral Medicine, 51(2), 226–239. https://doi.org/10.1007/s12160-016-9846-0
Edwards, E. A., Lumsden, J., Rivas, C., Steed, L., Edwards, L. A., Thiyagarajan, A., Sohanpal, R., Caton, H., Griffiths, C. J., Munafò, M. R., Taylor, S., & Walton, R. T. (2016). Gamification for health promotion: Systematic review of behaviour change techniques in smartphone apps. BMJ Open, 6(10), Article e012447. https://doi.org/10.1136/bmjopen-2016-012447
Evenson, K. R., Goto, M. M., & Furberg, R. D. (2015). Systematic review of the validity and reliability of consumer-wearable activity trackers. International Journal of Behavioral Nutrition and Physical Activity, 12, Article 159. https://doi.org/10.1186/s12966-015-0314-1
Galetsi, P., Katsaliaki, K., & Kumar, S. (2023). Exploring benefits and ethical challenges in the rise of mHealth (mobile healthcare) technology for the common good: An analysis of mobile applications for health specialists. Technovation, 121, Article 102598. https://doi.org/10.1016/j.technovation.2022.102598
Gür, F., Gür, G. C., & Ayan, V. (2020). The effect of the ERVE smartphone app on physical activity, quality of life, self-efficacy, and exercise motivation for inactive people: A randomized controlled trial. European Journal of Integrative Medicine, 39, Article 101198. https://doi.org/10.1016/j.eujim.2020.101198
Hall, S., Sattar, S., Ahmed, S., & Haase, K. R. (2021). Exploring perceptions of technology use to support self-management among older adults with cancer and multimorbidities. Seminars in Oncology Nursing, 37(6), Article 151228. https://doi.org/10.1016/j.soncn.2021.151228
Hou, C., Xu, Q., Diao, S., Hewitt, J., Li, J., & Carter, B. (2018). Mobile phone applications and self-management of diabetes: A systematic review with meta-analysis, meta-regression of 21 randomized trials and GRADE. Diabetes, Obesity and Metabolism, 20(8), 2009–2013. https://doi.org/10.1111/dom.13307
Hu, J., He, W., Zhang, J., & Song, J. (2023). Examining the impacts of fitness app features on user well-being. Information & Management, 60(5), Article 103796. https://doi.org/10.1016/j.im.2023.103796
Huang, G., Sun, M., & Jiang, L. C. (2022). Core social network size is associated with physical activity participation for fitness app users: The role of social comparison and social support. Computers in Human Behavior, 129, Article 107169. https://doi.org/10.1016/j.chb.2021.107169
Jakob, R., Harperink, S., Rudolf, A. M., Fleisch, E., Haug, S., Mair, J. L., Salamanca-Sanabria, A., & Kowatsch, T. (2022). Factors influencing adherence to mHealth apps for prevention or management of noncommunicable diseases: Systematic review. Journal of Medical Internet Research, 24(5), Article e35371. https://doi.org/10.2196/35371
Kao, C.-K., & Liebovitz, D. M. (2017). Consumer mobile health apps: Current state, barriers, and future directions. PM&R, 9(5S), S106–S115. https://doi.org/10.1016/j.pmrj.2017.02.018
Kassavou, A., Wang, M., Mirzaei, V., Shpendi, S., & Hasan, R. (2022). The association between smartphone app–based self-monitoring of hypertension-related behaviors and reductions in high blood pressure: Systematic review and meta-analysis. JMIR mHealth and uHealth, 10(7), Article e34767. https://doi.org/10.2196/34767
Kaya, F., Rashid, M., Esquivias, M. A., Akter, S., & Podder, S. C. (2025). Bridging technology and health: A panel analysis of internet use, mobile subscriptions, and health spending in G7. Social Sciences & Humanities Open, 12, Article 101813. https://doi.org/10.1016/j.ssaho.2025.101813
Khamaj, A., & Ali, A. M. (2024). Examining the usability and accessibility challenges in mobile health applications for older adults. Alexandria Engineering Journal, 102, 179–191. https://doi.org/10.1016/j.aej.2024.06.002
Klasnja, P., & Pratt, W. (2012). Healthcare in the pocket: Mapping the space of mobile-phone health interventions. Journal of Biomedical Informatics, 45(1), 184–198. https://doi.org/10.1016/j.jbi.2011.08.017
Metzendorf, M.-I., Wieland, L. S., & Richter, B. (2024). Mobile health (m-health) smartphone interventions for adolescents and adults with overweight or obesity. Cochrane Database of Systematic Reviews, 2024(2), Article CD013591. https://doi.org/10.1002/14651858.CD013591.pub2
Paganini, S., Terhorst, Y., Sander, L. B., Catic, S., Balci, S., Küchler, A.-M., Schultchen, D., Plaumann, K., Sturmbauer, S., Krämer, L. V., Lin, J., Wurst, R., Pryss, R., Baumeister, H., & Messner, E.-M. (2021). Quality of physical activity apps: Systematic search in app stores and content analysis. JMIR mHealth and uHealth, 9(6), Article e22587. https://doi.org/10.2196/22587
Papageorgiou, A., Strigkos, M., Politou, E., Alepis, E., Solanas, A., & Patsakis, C. (2018). Security and privacy analysis of mobile health applications: The alarming state of practice. IEEE Access, 6, 9390–9403. https://doi.org/10.1109/ACCESS.2018.2799522
Piwek, L., Ellis, D. A., Andrews, S., & Joinson, A. (2016). The rise of consumer health wearables: Promises and barriers. PLOS Medicine, 13(2), Article e1001953. https://doi.org/10.1371/journal.pmed.1001953
Pradal-Cano, L., Lozano-Ruiz, C., Pereyra-Rodríguez, J. J., Saigí-Rubió, F., Bach-Faig, A., Esquius, L., Medina, F. X., & Aguilar-Martínez, A. (2020). Using mobile applications to increase physical activity: A systematic review. International Journal of Environmental Research and Public Health, 17(21), Article 8238. https://doi.org/10.3390/ijerph17218238
Sepehri, B., Adibhesami, M. A., Parvanehdehkordi, A., & Karimi, H. (2025). Unlocking the power of snailstep application: A smartphone-based way to improve walking and urban health. Journal of Transport & Health, 41, Article 102001. https://doi.org/10.1016/j.jth.2025.102001
Sousa Basto, P., & Ferreira, P. (2025). Mobile applications, physical activity, and health promotion. BMC Health Services Research, 25(1), Article 359. https://doi.org/10.1186/s12913-025-12489-z
Talens, C., da Quinta, N., Adebayo, F. A., Erkkola, M., Heikkilä, M., Bargiel-Matusiewicz, K., Ziółkowska, N., Rioja, P., Łyś, A. E., Santa Cruz, E., & Meinilä, J. (2025). Mobile- and web-based interventions for promoting healthy diets, preventing obesity, and improving health behaviors in children and adolescents: Systematic review of randomized controlled trials. Journal of Medical Internet Research, 27, Article e60602. https://doi.org/10.2196/60602
World Health Organization. (2024). Diabetes. https://www.who.int/news-room/fact-sheets/detail/diabetes
World Health Organization. (2025a). Hypertension. https://www.who.int/news-room/fact-sheets/detail/hypertension
World Health Organization. (2025b). Noncommunicable diseases. https://www.who.int/news-room/fact-sheets/detail/noncommunicable-diseases
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Agnieszka Kiedik, Zuzanna Pietruk, Dzianis Dashkevich, Przemysław Siemiątkowski, Kacper Zima, Dominik Ryszard Płaza, Michał Kozicki

This work is licensed under a Creative Commons Attribution 4.0 International License.