USE OF MOBILE HEALTH APPLICATIONS AND WEARABLE DEVICES IN PREVENTIVE HEALTH BEHAVIORS: A LITERATURE REVIEW
DOI:
https://doi.org/10.31435/ijitss.2(50).2026.5636Keywords:
mHealth, eHealth, Wearable Devices, Preventive Health BehaviorsAbstract
Background: Mobile health applications and wearable devices are increasingly recognized as tools that can support preventive health behaviors by enabling behavioral monitoring, real-time feedback, tailored recommendations and intervention delivery outside conventional in-person healthcare settings. Their preventive relevance is closely related to the fact that many major chronic diseases are strongly associated with modifiable risk factors, including physical inactivity, sedentary behavior, unhealthy diet, obesity, insufficient sleep and poor cardiometabolic control.
Aim: The aim of this narrative review was to examine how mobile health applications and wearable devices are used to support preventive health behaviors, with particular attention to physical activity, sedentary behavior, diet, weight management, diabetes prevention, cardiovascular prevention, sleep, user engagement and behavior change mechanisms.
Methods: This paper was prepared as a narrative literature review based exclusively on the available evidence base, including systematic reviews, meta-analyses, umbrella reviews, scoping reviews, narrative reviews and selected review-oriented empirical papers addressing mHealth, eHealth and wearable interventions. The findings were synthesized narratively and organized into major preventive domains, including physical activity, sedentary behavior, nutrition, obesity, type 2 diabetes risk, cardiovascular prevention, sleep, personalization, behavior change techniques and implementation barriers.
Results: The literature suggests that mobile and wearable technologies most consistently improve physical activity, reduce sedentary behavior, support selected dietary improvements, assist weight control and improve sleep-related outcomes, whereas their effects on anthropometric, functional and some metabolic endpoints are often more modest or heterogeneous. The most promising interventions usually combine self-monitoring with feedback, goal setting, personalization, additional behavioral support and, in some cases, gamification or social features. At the same time, many reviews emphasize that effectiveness depends not only on the device or application itself, but also on intervention quality, sustained engagement, follow-up duration, data accuracy, usability, privacy, interoperability and equity of access.
Conclusion: Mobile health applications and wearable devices represent valuable tools for supporting preventive health behaviors, but their role is strongest when they function as part of a broader, behaviorally informed intervention strategy rather than as stand-alone technological solutions. Current evidence supports their usefulness particularly in physical activity promotion, dietary behavior change, weight management and sleep support, while also highlighting the need for further research on long-term effectiveness, sustainability, personalization, data protection and equitable implementation.
References
Shaluhiyah, Z., Qatrannada, S. A., Kusumawati, A., & Miah, M. S. (2025). The effect of digital health intervention in promoting healthy behavior: A systematic scoping reviews on strategies to prevent non-communicable diseases. Dialogues in Health, 7, 100258. https://doi.org/10.1016/j.dialog.2025.100258
Singh, B., Ahmed, M., Staiano, A. E., Gough, C., Petersen, J., Vandelanotte, C., Kracht, C., Huong, C., Yin, Z., Vasiloglou, M. F., Pan, C. C., Short, C. E., Mclaughlin, M., von Klinggraeff, L., Pfledderer, C. D., Moran, L. J., Button, A. M., & Maher, C. A. (2024). A systematic umbrella review and meta-meta-analysis of eHealth and mHealth interventions for improving lifestyle behaviours. NPJ Digital Medicine, 7(1), 179. https://doi.org/10.1038/s41746-024-01172-y
Qi, Y., Mohamad, E., Azlan, A. A., Zhang, C., Ma, Y., & Wu, A. (2025). Digital health solutions for cardiovascular disease prevention: Systematic review. Journal of Medical Internet Research, 27, e64981. https://doi.org/10.2196/64981
Aguiar, M., Trujillo, M., Chaves, D., Álvarez, R., & Epelde, G. (2022). mHealth apps using behavior change techniques to self-report data: Systematic review. JMIR mHealth and uHealth, 10(9), e33247. https://doi.org/10.2196/33247
Giardina, M., Zarcone, R., Accardi, G., Tabacchi, G., Bellafiore, M., Terzo, S., Di Liberto, V., Frinchi, M., Boffetta, P., Mazzucco, W., Scordino, M., Vasto, S., & Amato, A. (2025). Empowering health through digital lifelong prevention: An umbrella review of apps and wearables for nutritional management. Nutrients, 17(22), 3542. https://doi.org/10.3390/nu17223542
Sun, Y., Chen, J., Ji, M., & Li, X. (2025). Wearable technologies for health promotion and disease prevention in older adults: Systematic scoping review and evidence map. Journal of Medical Internet Research, 27, e69077. https://doi.org/10.2196/69077
Babatunde, A. O., Ogundijo, D. A., Afolayan, A. O., Awosiku, O. V., Aderohunmu, Z. O., Oguntade, M. S., Alao, U. H., Oseni, A. O., Akintola, A. A., & Amusat, O. A. (2024). Mobile health technologies in the prevention and management of hypertension: A scoping review. Digital Health, 10, 20552076241277172. https://doi.org/10.1177/20552076241277172
Abeltino, A., Riente, A., Bianchetti, G., Serantoni, C., De Spirito, M., Capezzone, S., Esposito, R., & Maulucci, G. (2025). Digital applications for diet monitoring, planning and precision nutrition for citizens and professionals: A state of the art. Nutrition Reviews, 83(2), e574–e601. https://doi.org/10.1093/nutrit/nuae035
Nguyen, V., Ara, P., Simmons, D., & Osuagwu, U. L. (2024). The role of digital health technology interventions in the prevention of type 2 diabetes mellitus: A systematic review. Clinical Medicine Insights: Endocrinology and Diabetes, 17, 11795514241246419. https://doi.org/10.1177/11795514241246419
Jahan, E., Almansour, R., Ijaz, K., Baptista, S., Giordan, L. B., Ronto, R., Zaman, S., O'Hagan, E., & Laranjo, L. (2024). Smartphone applications to prevent type 2 diabetes: A systematic review and meta-analysis. American Journal of Preventive Medicine, 66(6), 1060–1070. https://doi.org/10.1016/j.amepre.2024.01.008
Lu, Y. A., Lin, H. C., & Tsai, P. S. (2025). Effects of digital sleep interventions on sleep among college students and young adults: Systematic review and meta-analysis. Journal of Medical Internet Research, 27, e69657. https://doi.org/10.2196/69657
Menassa, M., Wilmont, I., Beigrezaei, S., Knobbe, A., Arita, V. A., Valderrama, J. F., 5th, Bridge, L., Verschuren, W. M. M., Rennie, K. L., Franco, O. H., & van der Ouderaa, F. (2025). The future of healthy ageing: Wearables in public health, disease prevention and healthcare. Maturitas, 196, 108254. https://doi.org/10.1016/j.maturitas.2025.108254
Lee, S. A., & Park, J. H. (2025). Systematic review and meta analysis of standalone digital behavior change interventions on physical activity. NPJ Digital Medicine, 8(1), 436. https://doi.org/10.1038/s41746-025-01827-4
Li, S., Zhou, Y., Tang, Y., Ma, H., Zhang, Y., Wang, A., Tang, X., Pei, R., & Piao, M. (2025). Behavior change resources used in mobile app-based interventions addressing weight, behavioral and metabolic outcomes in adults with overweight and obesity: Systematic review and meta-analysis of randomized controlled trials. JMIR mHealth and uHealth, 13, e63313. https://doi.org/10.2196/63313
Li, R., Li, Y., Wang, L., Li, L., Fu, C., Hu, D., & Wei, Q. (2025). Wearable activity tracker-based interventions for physical activity, body composition and physical function among community-dwelling older adults: Systematic review and meta-analysis of randomized controlled trials. Journal of Medical Internet Research, 27, e59507. https://doi.org/10.2196/59507
Wu, S., Li, G., Shi, B., Ge, H., Chen, S., Zhang, X., & He, Q. (2024). Comparative effectiveness of interventions on promoting physical activity in older adults: A systematic review and network meta-analysis. Digital Health, 10, 20552076241239182. https://doi.org/10.1177/20552076241239182
Wang, J. W., Zhu, Z., Shuling, Z., Fan, J., Jin, Y., Gao, Z. L., Chen, W. D., & Li, X. (2024). Effectiveness of mHealth app-based interventions for increasing physical activity and improving physical fitness in children and adolescents: Systematic review and meta-analysis. JMIR mHealth and uHealth, 12, e51478. https://doi.org/10.2196/51478
Wu, S., Li, G., Du, L., Chen, S., Zhang, X., & He, Q. (2023). The effectiveness of wearable activity trackers for increasing physical activity and reducing sedentary time in older adults: A systematic review and meta-analysis. Digital Health, 9, 20552076231176705. https://doi.org/10.1177/20552076231176705
Longhini, J., Marzaro, C., Bargeri, S., Palese, A., Dell'Isola, A., Turolla, A., Pillastrini, P., Battista, S., Castellini, G., Cook, C., Gianola, S., & Rossettini, G. (2024). Wearable devices to improve physical activity and reduce sedentary behaviour: An umbrella review. Sports Medicine - Open, 10(1), 9. https://doi.org/10.1186/s40798-024-00678-9
Ferguson, T., Olds, T., Curtis, R., Blake, H., Crozier, A. J., Dankiw, K., Dumuid, D., Kasai, D., O'Connor, E., Virgara, R., & Maher, C. (2022). Effectiveness of wearable activity trackers to increase physical activity and improve health: A systematic review of systematic reviews and meta-analyses. The Lancet Digital Health, 4(8), e615–e626. https://doi.org/10.1016/S2589-7500(22)00111-X
Di Pumpo, M., Miatton, A., Riccardi, M. T., Graps, E. A., Baldo, V., Buja, A., & Damiani, G. (2025). Digital health interventions to promote physical activity in community-dwelling older adults: A systematic review and semiquantitative analysis. International Journal of Public Health, 69, 1607720. https://doi.org/10.3389/ijph.2024.1607720
Ibeneme, S. C., Mah, J., Omeje, C., Fortwengel, G., Nwosu, A. O., Irem, F. O., Ibeneme, G. C., Myezwa, H., & Nweke, M. (2024). Effectiveness of pedometer-based walking programmes in improving some modifiable risk factors of stroke among community-dwelling older adults: A systematic review, theoretical synthesis and meta-analysis. BMC Geriatrics, 24(1), 516. https://doi.org/10.1186/s12877-024-05069-z
Carraça, E., Encantado, J., Battista, F., Beaulieu, K., Blundell, J., Busetto, L., van Baak, M., Dicker, D., Ermolao, A., Farpour-Lambert, N., Pramono, A., Woodward, E., Bellicha, A., & Oppert, J. M. (2021). Effective behavior change techniques to promote physical activity in adults with overweight or obesity: A systematic review and meta-analysis. Obesity Reviews, 22(Suppl. 4), e13258. https://doi.org/10.1111/obr.13258
Böhm, B., Karwiese, S. D., Böhm, H., & Oberhoffer, R. (2019). Effects of mobile health including wearable activity trackers to increase physical activity outcomes among healthy children and adolescents: Systematic review. JMIR mHealth and uHealth, 7(4), e8298. https://doi.org/10.2196/mhealth.8298
Rowland, S., Bach, C., Simon, K., Westmark, D. M., & Sperling, E. (2024). Effectiveness of digital health interventions to increase cardiorespiratory fitness: A systematic review and meta-analysis. Digital Health, 10, 20552076241282381. https://doi.org/10.1177/20552076241282381
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, e60602. https://doi.org/10.2196/60602
Singh, B., Ahmed, M., Staiano, A. E., Vasiloglou, M. F., Gough, C., Petersen, J. M., Yin, Z., Vandelanotte, C., Kracht, C., Fiedler, J., Timm, I., Dallinga, J., Sivakumar, B., Baumann, H., Huong, C., Wunsch, K., Suárez-Reyes, M., Schoeppe, S., Button, A. M., Spring, K., … Maher, C. (2025). Lifestyle eHealth and mHealth interventions for children and adolescents: Systematic umbrella review and meta-meta-analysis. Journal of Medical Internet Research, 27, e69065. https://doi.org/10.2196/69065
Chen, X., Wang, F., Zhang, H., Lin, Y., Zhu, S., & Yang, Y. (2025). Effectiveness of wearable activity trackers on physical activity among adolescents in school-based settings: A systematic review and meta-analysis. BMC Public Health, 25(1), 1050. https://doi.org/10.1186/s12889-025-22170-z
Metzendorf, M. I., Wieland, L. S., & Richter, B. (2024). Mobile health (m-health) smartphone interventions for adolescents and adults with overweight or obesity. The Cochrane Database of Systematic Reviews, 2024(2), CD013591. https://doi.org/10.1002/14651858.CD013591.pub2
Dugas, M., Gao, G. G., & Agarwal, R. (2020). Unpacking mHealth interventions: A systematic review of behavior change techniques used in randomized controlled trials assessing mHealth effectiveness. Digital Health, 6, 2055207620905411. https://doi.org/10.1177/2055207620905411
Patel, M. L., Wakayama, L. N., & Bennett, G. G. (2021). Self-monitoring via digital health in weight loss interventions: A systematic review among adults with overweight or obesity. Obesity, 29(3), 478–499. https://doi.org/10.1002/oby.23088
Kayyali, R., Peletidi, A., Ismail, M., Hashim, Z., Bandeira, P., & Bonnah, J. (2017). Awareness and use of mHealth apps: A study from England. Pharmacy, 5(2), 33. https://doi.org/10.3390/pharmacy5020033
Milne-Ives, M., Lam, C., De Cock, C., Van Velthoven, M. H., & Meinert, E. (2020). Mobile apps for health behavior change in physical activity, diet, drug and alcohol use and mental health: Systematic review. JMIR mHealth and uHealth, 8(3), e17046. https://doi.org/10.2196/17046
Ali, S. H., Luo, R., Li, Y., Liu, X., Tang, C., & Zhang, P. (2019). Application of mobile health technologies aimed at salt reduction: Systematic review. JMIR mHealth and uHealth, 7(4), e13250. https://doi.org/10.2196/13250
Smith, B., & Magnani, J. W. (2019). New technologies, new disparities: The intersection of electronic health and digital health literacy. International Journal of Cardiology, 292, 280–282. https://doi.org/10.1016/j.ijcard.2019.05.066
Kouvari, M., Karipidou, M., Tsiampalis, T., Mamalaki, E., Poulimeneas, D., Bathrellou, E., Panagiotakos, D., & Yannakoulia, M. (2022). Digital health interventions for weight management in children and adolescents: Systematic review and meta-analysis. Journal of Medical Internet Research, 24(2), e30675. https://doi.org/10.2196/30675
Tong, H. L., Maher, C., Parker, K., Pham, T. D., Neves, A. L., Riordan, B., Chow, C. K., Laranjo, L., & Quiroz, J. C. (2022). The use of mobile apps and fitness trackers to promote healthy behaviors during COVID-19: A cross-sectional survey. PLOS Digital Health, 1(8), e0000087. https://doi.org/10.1371/journal.pdig.0000087
Berhe, F. T., Shifti, D. M., Veerman, J. L., Aminde, L., Ahmed, K. Y., Mesfin, Y. M., Kibret, K. T., Bizuayehu, H. M., Ketema, D. B., Odo, D. B., Thapa, S., Dadi, A., Belachew, S. A., Bore, M. G., Kassa, Z. Y., Seid, A. M., Hassen, T. A., Amsalu, E., & Tegegne, T. K. (2025). Digital versus nondigital behavioral interventions on cardiovascular risk reduction: Systematic review and meta-analysis. Annals of Behavioral Medicine, 59(1), kaaf043. https://doi.org/10.1093/abm/kaaf043
Cruz-Cobo, C., Bernal-Jiménez, M. Á., Vázquez-García, R., & Santi-Cano, M. J. (2022). Effectiveness of mHealth interventions in the control of lifestyle and cardiovascular risk factors in patients after a coronary event: Systematic review and meta-analysis. JMIR mHealth and uHealth, 10(12), e39593. https://doi.org/10.2196/39593
Palozzi, G., & Antonucci, G. (2022). Mobile-health based physical activities co-production policies towards cardiovascular diseases prevention: Findings from a mixed-method systematic review. BMC Health Services Research, 22(1), 277. https://doi.org/10.1186/s12913-022-07637-8
Prochaska, J. J., Coughlin, S. S., & Lyons, E. J. (2017). Social media and mobile technology for cancer prevention and treatment. American Society of Clinical Oncology Educational Book, 37, 128–137. https://doi.org/10.1200/EDBK_173841
Kreitmair, K. V. (2024). Mobile health technology and empowerment. Bioethics, 38(6), 481–490. https://doi.org/10.1111/bioe.13157
Canali, S., Schiaffonati, V., & Aliverti, A. (2022). Challenges and recommendations for wearable devices in digital health: Data quality, interoperability, health equity, fairness. PLOS Digital Health, 1(10), e0000104. https://doi.org/10.1371/journal.pdig.0000104
Moungui, H. C., Nana-Djeunga, H. C., Anyiang, C. F., Cano, M., Ruiz Postigo, J. A., & Carrion, C. (2024). Dissemination strategies for mHealth apps: Systematic review. JMIR mHealth and uHealth, 12, e50293. https://doi.org/10.2196/50293
Gellert, G. A., Nowicka, A., Marecka, M., Gellert, G. L., & Price, T. (2025). Demographics, comorbidities and care-seeking intent among individuals with obesity or overweight status using outpatient AI-based virtual triage. Telemedicine Reports, 6(1), 139–147. https://doi.org/10.1089/tmr.2025.0024
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Copyright (c) 2026 Mikołaj Dybicz, Julia Czerniewska, Dominika Dutkiewicz, Jakub Fidelus, Magdalena Filuk, Marianna Ciastoń, Julia Mądrzak, Klaudia Jurkowska, Olga Endler, Marta Handzel
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