This study examines the adoption and usability of lifestyle (LS) apps, considering demographic factors like age and education that influence adoption decisions. The study employed a mixed-methods design, combining an experiment (spanning 14 weeks of app use) with semi-structured interviews and periodic measurements. The researchers employed the Mobile Application Usability Questionnaire (MAUQ) to identify pivotal aspects of standalone app usability, interface satisfaction, and usefulness at various stages of use, with a particular emphasis on the experiences of Hungarian students (n = 36). The results demonstrate that health-related factors have a significant impact on students’ behavior and evaluation of lifestyle apps over the 14-week period. Overall, the analyzed LS apps demonstrated positive outcomes in terms of supporting subject health and significantly improving the perceived health state. The findings highlight both practical and theoretical contributions to the field of mobile health applications, suggesting avenues for further research to either confirm or challenge existing theories.

Amagai, S., Pila, S., Kaat, A. J., et al. (2022). Challenges in participant engagement and retention using mobile health apps: literature review. Journal of medical Internet research. 24(4). https://doi.org/10.2196/35120

Baretta, D., Perski, O., Steca, P. (2019). Exploring Users’ Experiences of the Uptake and Adoption of Physical Activity Apps: Longitudinal Qualitative Study. JMIR Mhealth Uhealth. 7 (2). https://doi.org/10.2196/11636

Braun, V., Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology. 3(2): 77-101. https://doi.org/10.1191/1478088706qp063oa

Bryman, A. (2016). Social Research Methods. Oxford University Press.

Castro, P.C., Romano, L.B., Frohlich, D., et al. (2020). Tailoring digital apps to support active ageing in a low income community. PLoS ONE. 15(12). https://doi.org/10.1371/journal.pone.0242192

Caulfield, J. (2022). How to Do Thematic Analysis | Step-by-Step Guide & Examples. Scribbr. Available online: https://www.scribbr.com/methodology/thematic-analysis/ (accessed on 1 March 2023)

Ceasar, J.N., Claudel, S.E., Andrews, M.R., et al. (2019). Community Engagement in the Development of an mHealth-Enabled Physical Activity and Cardiovascular Health Intervention (Step It Up): Pilot Focus Group Study. JMIR Form Res. 3(1). https://doi.org/10.2196/10944

Chen, J., Lieffers, J., Bauman, A., et al. (2017). The use of smartphone health apps and other mobile health (mHealth) technologies in dietetic practice: a three country study. J Hum Nutr Diet. 30(4): 439-452. https://doi.org/10.1111/jhn.12446

Chong, A.Y.L., Blut, M., Zheng, Sh. (2022). Factors influencing the acceptance of healthcare information technologies: A meta-analysis. Information & Management. 59(3). https://doi.org/10.1016/j.im.2022.103604.

Čuš, A., Edbrooke-Childs, J., Ohmann, S., et al. (2021). Smartphone Apps Are Cool, But Do They Help Me?: a qualitative interview study of adolescents’ perspectives on using smartphone interventions to manage nonsuicidal self-injury. International Journal of Environmental Research and Public Health. 18(6). https://doi.org/10.3390/ijerph18063289

Čvirik, M. (2021). Is Health Consciousness Important at the Time of Coronavirus? The Case of Slovakia and Hungary. Central European Business Review. 10(4): 83-97. doi: 10.18267/j.cebr.276

Davis, F.D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13(3): 319–340. https://doi.org/10.2307/249008

Davis, F.D., Bagozzi, R.P., Wharshaw, P.R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Manag Sci. 35(8): 982–1003. https://doi.org/10.1287/mnsc.35.8.982

Deci, E. L., Ryan, R. M. (1985). Intrinsic motivation and self-determination in human behavior. New York: Plenum Press. https://doi.org/10.1007/978-1-4899-2271-7

Degroote, L., Van Dyck, D., De Bourdeaudhuij, I., et al. (2020). Acceptability and feasibility of the mHealth intervention ‘MyDayPlan’ to increase physical activity in a general adult population. BMC Public Health. 20(1). https://doi.org/10.1186/s12889-020-09148-9.

Ferreira-Barbosa, H., García-Fernández, J., Cepeda-Carrión, G. (2023). The Mediating Role of e-Lifestyles to Use the Fitness Center App. International Journal of Human–Computer Interaction. 40(15), 3972–3981. https://doi.org/10.1080/10447318.2023.2204273

Flaherty, S. J., McCarthy, M. B., Collins, A. M., et al. (2019). A different perspective on consumer engagement: exploring the experience of using health apps to support healthier food purchasing. Journal of Marketing Management, 35(3-4): 310-337. https://doi.org/10.1080/0267257X.2019.1576756

Flaherty, S.J., McCarthy, M., Collins, A.M., et al. (2021). Exploring engagement with health apps: the emerging importance of situational involvement and individual characteristics. European Journal of Marketing. 55(13): 122-147. https://doi.org/10.1108/EJM-06-2019-0531

Fox, G., Connolly, R. (2018). Mobile health technology adoption across generations: narrowing the digital divide. Information Systems Journal. 26(6): 995–1029. https://doi.org/10.1111/isj.12179

Gilson, N.D., Pavey, T.G., Wright, O.R., et al. (2017). The impact of an m-Health financial incentives program on the physical activity and diet of Australian truck drivers. BMC Public Health. 17(1). https://doi.org/10.1186/s12889-017-4380-y

ISO 9241-11. Ergonomics of human–system interaction—Part 11: usability: definitions and concepts 2018. Available from: https://www.iso.org/ obp/ui/#iso:std:iso:9241:-11:ed-2:v1:en

Jemere, A.T, Yeneneh, Y.E., Tilahun, B., et al. (2019). Access to mobile phone and willingness to receive m-health services among patients with diabetes in Northwest Ethiopia: a cross-sectional study. BMJ Open. 9(1). https://doi.org/10.1136/bmjopen-2018-021766

Kanthawala, S., Joo, E., Kononova, A., et al. (2018). Folk theorizing the quality and credibility of health apps. Mob. Media Commun. 7(2): 175–194. https://doi.org/10.1177/2050157918796859

Khalil, A. A., Suparta, W., Abdurachman, E., et al. (2020). Theoretical model for continuance usage intention of mHealth application. In: Proceeding of the 2020 International Conference on Radar, Antenna, Microwave. Electronics, and Telecommunications (ICRAMET); 18-20. 11. 2020; Tangerang, Indonesia.

Kong N.A., Moy F.M., Ong S.H., et al. (2023). MyDietCam: Development and usability study of a food recognition integrated dietary monitoring smartphone application. Digit Health. 9: 1-18. https://doi.org/10.1177/20552076221149320

Kovács, T., Várallyai, L. (2021). Measuring intention to use health mobile apps in a UTAUT model. (Hungarian). Információs Társadalom. XXI(1):166 –187.

Krebs, P., Duncan, D.T. (2015). Health App Use Among US Mobile Phone Owners: A National Survey. JMIR Mhealth Uhealth. 3(4). https://doi.org/10.2196/mhealth.4924

Krishnan, G., Lokachari, P.S. (2019). Adoption of health and fitness apps by mobile users: Interactive qualitative analysis. In: Proceedings of the 2019 Portland International Conference on Management of Engineering and Technology (PICMET); 25–29 August 2019; Portland, Oregon, USA,

Laurie, J., Blandford, A. (2016). Making time for mindfulness. Int. J. Med. Inform. 96: 38–50. https://doi.org/10.1016/j.ijmedinf.2016.02.010

Lieffers, J.R.L., Arocha, J.F., Grindrod, K., et al. (2018). Experiences and Perceptions of Adults Accessing Publicly Available Nutrition Behavior-Change Mobile Apps for Weight Management. J Acad Nutr Diet. 118(2): 229-239. https://doi.org/10.1016/j.jand.2017.04.015

Lindqvist, AK., Rutberg, S., Söderström, E., et al. (2020). User Perception of a Smartphone App to Promote Physical Activity Through Active Transportation: Inductive Qualitative Content Analysis Within the Smart City Active Mobile Phone Intervention (SCAMPI) Study. JMIR Mhealth Uhealth. 8(8). https:// doi.org/10.2196/19380

Liu H, Xie Z, Or C. (2024). Willingness to pay for health apps, its sociodemographic correlates, and reasons for being unwilling to pay. DIGITAL HEALTH. 10. doi:10.1177/20552076241248925

Maguire, M. (2024). Designing, Conducting, Analyzing, and Reporting Usability Testing Experiments. Chapter. In: Stephanidis, C., & Salvendy, G. (Eds.). User Experience Methods and Tools in Human-Computer Interaction (1st ed.). CRC Press. https://doi.org/10.1201/9781003495161

McKay, F.H., Wright, A., Shill, J., et al. (2019). Using Health and Well-Being Apps for Behavior Change: A Systematic Search and Rating of Apps. JMIR m-health Uhealth. 7(7). https://doi.org/10.2196/11926

Mustafa, N., Safii, N.S., Jaffar, A., et al. (2021). Malay version of the m-health app usability questionnaire (MMAUQ): translation, adaptation, and validation study. JMIR m-health Uhealth. 9(2). https://doi.org/10.2196/24457

Nikolaou, C.K., Tay, Z., Leu, J., et al. (2019). Young People’s Attitudes and Motivations Toward Social Media and Mobile Apps for Weight Control: Mixed Methods Study. JMIR mHealth uHealth. 7(10). https://doi.org/10.2196/11205

Nour, M., Chen, J., Allman-Farinelli, M., et al. (2019). Young Adults’ Engagement with a Self-Monitoring App for Vegetable Intake and the Impact of Social Media and Gamification: Feasibility Study. JMIR Form. Res. 3(2). https://doi.org/10.2196/13324

Or, C.K., Holden, R.J., Valdez, R.S. (2023). Human Factors Engineering and User-Centered Design for Mobile Health Technology: Enhancing Effectiveness, Efficiency, and Satisfaction. In: Duffy, V.G., Ziefle, M., Rau, PL.P., Tseng, M.M. (eds) Human-Automation Interaction. Automation, Collaboration, & E-Services, 12. 97-118. https://doi.org/10.1007/978-3-031-10788-7_6

Peng, W., Kanthawala, S., Yuan, S., et al. (2016). A qualitative study of user perceptions of mobile health apps. BMC Public Health. 16(1). https://doi.org/10.1186/s12889-016-3808-0

Prochaska, J. O., DiClemente, C. C. (1983). Stages and processes of self-change of smoking: Toward an integrative model of change. Journal of Consulting and Clinical Psychology, 51(3), 390–395. https://doi.org/10.1037/0022-006X.51.3.390

Régnier, F., Chauvel, L. (2018). Digital inequalities in the use of self-tracking diet and fitness apps: interview study on the influence of social, economic, and cultural factors. JMIR mHealth and uHealth. 6(4). https://doi.org/10.2196/mhealth.9189

Salas-Groves E, Galyean S, Alcorn M, Childress A. (2023). Behavior Change Effectiveness Using Nutrition Apps in People With Chronic Diseases: Scoping Review. JMIR Mhealth Uhealth. 11:e41235, doi: 10.2196/41235

Shabir, H., D’Costa, M., Mohiaddin, Z., et al. (2022). The Barriers and Facilitators to the Use of Lifestyle Apps: A Systematic Review of Qualitative Studies. Eur. J. Investig. Health Psychol. Educ. 12(2): 144–165. https://doi.org/10.3390/ejihpe12020012

Simons, D., De Bourdeaudhuij, I., Clarys, P., et al. (2018). Smartphone App to Promote an Active Lifestyle in Lower-Educated Working Young Adults: Development, Usability, Acceptability, and Feasibility Study. JMIR mHealth uHealth. 6(2). https://doi.org/10.2196/mhealth.8287

Smirnova, E., Eriksson, N., Fagerstrøm, A. (2021). Adoption and Use of Health-related Mobile Applications: A Qualitative Study with Experienced Users. In: Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021); SciTePress, 5: 288-295.

Stoyanov, S. R., Hides, L., Kavanagh, D. J., et al. (2016). Development and validation of the user version of the Mobile Application Rating Scale (uMARS). JMIR mHealth and uHealth. 4(2). https://doi.org/10.2196/mhealth.5849

Tong, H. L., Quiroz, J. C., Kocaballi, A. B., et al. (2021). Personalized mobile technologies for lifestyle behavior change: a systematic review, meta-analysis, and meta-regression. Preventive medicine. 148:106532. https://doi.org/10.1016/j.ypmed.2021.106532

Vaghefi, I., Tulu, B. (2019). The Continued Use of Mobile Health Apps: Insights from a Longitudinal Study. JMIR m-health uHealth. 7(8). https://doi.org/10.2196/12983

WHO (2022) https://www.who.int/news-room/fact-sheets/detail/physical-activity

Xie Z, Or CK. (2023). Consumers’ Preferences for Purchasing mHealth Apps: Discrete Choice Experiment. JMIR Mhealth Uhealth. 11:e25908 doi: 10.2196/25908

Yan, M., C. K. Or, Z. Xie, H. Liu, (2023). Facilitators of and barriers to the use of a computer-based self-monitoring system by type 2 diabetic and/or hypertensive patients, International Journal of Industrial Ergonomics, 98, https://doi.org/10.1016/j.ergon.2023.103509.

Zhang, X., Guo, X., Guo, F., et al. (2014). Nonlinearities in personalization-privacy paradox in m-health adoption: the mediating role of perceived usefulness and attitude. Technology and Health Care. 22(4): 515-529. https://doi.org/10.3233/THC-140811

Zhang, X., Xu, X. (2020). Continuous use of fitness apps and shaping factors among college students: A mixed-method investigation. Int. J. Nurs. Sci. 7(1): S80–S87. https://doi.org/10.1016/j.ijnss.2020.07.009

Zhang, X., Yu, P., Yan, J., et al. (2015). Using diffusion of innovation theory to understand the factors impacting patient acceptance and use of consumer e-health innovations: a case study in a primary care clinic. BMC Health Services Research. 15(71). https://doi.org/10.1186/s12913-015-0726-2

Zhou, L., Bao, J., Setiawan, I. M. A., Saptono, A., Parmanto, B. (2019). The m-health app usability questionnaire (MAUQ): development and validation study. JMIR m-health Uhealth. 7(4). https://doi.org/10.2196/11500