Quality Assessment of Nutrition-Related Apps and Determinants of Their Use: Barriers and Facilitators

Authors

DOI:

https://doi.org/10.15611/nit.2025.41.08

Keywords:

mobile apps, nutrition, uMARS, mHealth, quality assessment

Abstract

Aim: This study aimed to evaluate the quality and functionality of mobile nutrition apps available on the Polish Google Play Store using the uMARS (user version of the Mobile App Rating Scale) questionnaire, and to identify barriers and facilitators associated with their use in the mHealth domain.

Method: The app review was conducted in June 2023 within the Health & Fitness category. The selection was restricted to the free, most popular calorie-counting apps with a user rating of at least 4.0 and at least 5 million downloads, available in both Polish and English. Four apps met the inclusion criteria: MyFitnessPal, FatSecret, Fitatu, and YAZIO. Each app was tested for 14 days and subsequently assessed using uMARS across three age groups, with gender accounted for. Qualitative data on barriers and facilitators to app use were also collected.

Results: FatSecret achieved the highest overall mean score, followed by Fitatu and MyFitnessPal, while YAZIO received the lowest. Functionality was the highest-rated domain, whereas greater variability was observed in information quality and engagement. In the qualitative analysis, key barriers included concerns about data privacy, the cost of premium features, and difficulties maintaining consistent selfmonitoring and data entry. Reported facilitators included progress tracking, personalisation, integration with wearable devices, and motivation-support features.

Implications and recommendations: The findings of this study indicate that the scientific evaluation of nutrition-related mobile apps should extend beyond technical functionality to include the quality of the information provided and their potential to sustain user engagement. The results further support the validity of combining standardised app quality assessment with an analysis of the barriers and facilitators influencing their use, as these factors determine their practical utility and the sustainability of long-term use. In addition, this study contributes to the existing body of research on the quality of nutrition-related apps available on the Polish market, providing a basis for further comparative analyses and for future investigations into their effectiveness in shaping dietary behaviour.

Originality/value: This study integrates a standardised user-centred quality assessment of nutrition apps with a qualitative analysis of barriers and facilitators of use, providing insights relevant to app design, health education, and further research on the effectiveness of mHealth tools.

Downloads

Download data is not yet available.

References

Azevedo, R. F. L., Varzino, M., Steinman, E., & Rogers, W. A. (2025). Evaluating Effectiveness of mHealth Apps for Older Adults with Diabetes: Meta-Analysis of Randomized Controlled Trials. Journal of Medical Internet Research, 27(1), e65855. https://doi.org/10.2196/65855

Baumel, A., & Yom-Tov, E. (2018). Predicting User Adherence to Behavioral eHealth Interventions in the Real World: Examining which Aspects of Intervention Design Matter Most. Translational Behavioral Medicine, 8(5), 793-798. https://doi.org/10.1093/tbm/ibx037

Bzikowska-Jura, A., Sobieraj, P., & Raciborski, F. (2021). Low Comparability of Nutrition-Related Mobile Apps against the Polish Reference Method-A Validity Study. Nutrients, 13(8). https://doi.org/10.3390/nu13082868

Chen, H., Schoefer, K., Manika, D., & Tzemou, E. (2024). The “Dark Side” of General Health and Fitness-Related Self-Service Technologies: A Systematic Review of the Literature and Directions for Future Research. Journal of Public Policy and Marketing, 43(2), 151-170. https://doi.org/10.1177/07439156231224731

Dennison, L., Morrison, L., Conway, G., & Yardley, L. (2013). Opportunities and Challenges for Smartphone Applications in Supporting Health Behavior Change: Qualitative Study. Journal of Medical Internet Research, 15(4), e86. https://doi.org/10.2196/jmir.2583

Evenepoel, C., Clevers, E., Deroover, L., van Loo, W., Matthys, C., & Verbeke, K. (2020). Accuracy of Nutrient Calculations Using the Consumer-Focused Online App MyFitnessPal: Validation Study. Journal of Medical Internet Research, 22(10), e18237. https://doi.org/10.2196/18237

Faessen, J. P. M., Lucassen, D. A., Buso, M. E. C., Camps, G., Feskens, E. J. M., & Brouwer-Brolsma, E. M. (2022). Eating for 2: A Systematic Review of Dutch App Stores for Apps Promoting a Healthy Diet during Pregnancy. Current Developments in Nutrition, 6(6), nzac087. https://doi.org/10.1093/cdn/nzac087

Fallaize, R., Franco, R. Z., Pasang, J., Hwang, F., & Lovegrove, J. A. (2019). Popular Nutrition-Related Mobile Apps: An Agreement Assessment Against a UK Reference Method. JMIR mHealth and uHealth, 7(2), e9838. https://doi.org/10.2196/mhealth.9838

Fernandez-Lazaro, C. I., Santamaría, G., Fernandez Milano, A., Martin-Vergel, M. I., & Fernandez-Lazaro, D. (2024). Nutrition-Related Mobile Apps in the Spanish App Stores: Quality and Content Analysis. JMIR MHealth and UHealth, 12(1), e52424. https://doi.org/10.2196/52424

Franco, R. Z., Fallaize, R., Lovegrove, J. A., & Hwang, F. (2016). Popular Nutrition-Related Mobile Apps: A Feature Assessment. JMIR mHealth and uHealth, 4(3), e85. https://doi.org/10.2196/mhealth.5846

Grundy, Q., Chiu, K., Held, F., Continella, A., Bero, L., & Holz, R. (2019). Data Sharing Practices of Medicines Related Apps and the Mobile Ecosystem: Traffic, Content, and Network Analysis. BMJ, 364, 920. https://doi.org/10.1136/bmj.l920

Jospe, M. R., Fairbairn, K. A., Green, P., & Perry, T. L. (2015). Diet App Use by Sports Dietitians: A Survey in Five Countries. JMIR mHealth and uHealth, 3(1). https://doi.org/10.2196/mhealth.3345

Knight, E., Stuckey, M. I., Prapavessis, H., & Petrella, R. J. (2015). Public Health Guidelines for Physical Activity: Is There an App for That? A Review of Android and Apple App Stores. JMIR mHealth and uHealth, 3(2). https://doi.org/10.2196/mhealth.4003

König, L. M., Attig, C., Franke, T., & Renner, B. (2021). Barriers to and Facilitators for Using Nutrition Apps: Systematic Review and Conceptual Framework. JMIR mHealth and uHealth, 9(6), e20037. https://doi.org/10.2196/20037

Krebs, P., & Duncan, D. T. (2015). Health App Use among US Mobile Phone Owners: A National Survey. JMIR mHealth and uHealth, 3(4), e101. https://doi.org/10.2196/mhealth.4924

Levine, D. M., Co, Z., Newmark, L. P., Groisser, A. R., Holmgren, A. J., Haas, J. S., & Bates, D. W. (2020). Design and Testing of a Mobile Health Application Rating Tool. NPJ Digital Medicine, 3, 74. https://doi.org/10.1038/s41746-020-0268-9

Lyzwinski, L. N., Edirippulige, S., Caffery, L., & Bambling, M. (2019). Mindful Eating Mobile Health Apps: Review and Appraisal. JMIR Mental Health, 6(8). https://doi.org/10.2196/12820

Mandracchia, F., Llauradó, E., Tarro, L., Valls, R. M., & Solà, R. (2020). Mobile Phone Apps for Food Allergies or Intolerances in App Stores: Systematic Search and Quality Assessment Using the Mobile App Rating Scale (MARS). JMIR mHealth and uHealth, 8(9), e18339. https://doi.org/10.2196/18339

Marston, H. R., & Hall, A. K. (2016). Gamification: Applications for Health Promotion and Health Information Technology Engagement. In D. Novák, B. Tulu, & H. Brendryen (Eds.), Handbook of Research on Holistic Perspectives in Gamification for Clinical Practice (pp. 78-104). Global Scientific Publishing. https://doi.org/10.4018/978-1-4666-9522-1.ch005

Martinon, P., Saliasi, I., Bourgeois, D., Smentek, C., Dussart, C., Fraticelli, L., & Carrouel, F. (2022). Nutrition-Related Mobile Apps in the French App Stores: Assessment of Functionality and Quality. JMIR Mhealth and Uhealth, 10(3), e35879. https://doi.org/10.2196/35879

Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., Antes, G., Atkins, D., Barbour, V., Barrowman, N., Berlin, J. A., Clark, J., Clarke, M., Cook, D., D’Amico, R., Deeks, J. J., Devereaux, P. J., Dickersin, K., Egger, M., Ernst, E., Gøtzsche, P. C., … Tugwell, P. (2009). Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. PLoS Medicine, 6(7), e1000097. https://doi.org/10.1371/JOURNAL.PMED.1000097

Mustafa, A. S., Ali, N., Dhillon, J. S., Alkawsi, G., & Baashar, Y. (2022). User Engagement and Abandonment of mHealth: A Cross-Sectional Survey. Healthcare, 10(2), 221. https://doi.org/10.3390/healthcare10020221

Peng, W., Kanthawala, S., Yuan, S., & Hussain, S. A. (2016). A Qualitative Study of User Perceptions of Mobile Health Apps. BMC Public Health, 16(1), 1158. https://doi.org/10.1186/s12889-016-3808-0

Roth, E. (2025). Google’s Play Store Lost Nearly Half Its Apps. The Verge. Retrieved February 18, 2026, from https://www.theverge.com/news/658932/google-play-store-lost-half-apps?utm_source=chatgpt.com

Shinozaki, N., & Murakami, K. (2020). Evaluation of the Ability of Diet-Tracking Mobile Applications to Estimate Energy and Nutrient Intake in Japan. Nutrients, 12(11), 1-17. https://doi.org/10.3390/nu12113327

Statista. (n.d.). Nutrition Apps – Worldwide. Retrieved February 18, 2026, from https://www.statista.com/outlook/hmo/digital-health/digital-fitness-well-being/health-wellness-coaching/nutrition-apps/worldwide?currency=USD

Stoyanov, S. R., Hides, L., Kavanagh, D. J., & Wilson, H. (2016). Development and Validation of the User Version of the Mobile Application Rating Scale (uMARS). JMIR mHealth and uHealth, 4(2), e72. https://doi.org/10.2196/mhealth.5849

Stoyanov, S. R., Hides, L., Kavanagh, D. J., Zelenko, O., Tjondronegoro, D., & Mani, M. (2015). Mobile App Rating Scale: A New Tool for Assessing the Quality of Health Mobile Apps. JMIR mHealth and uHealth, 3(1), e27. https://doi.org/10.2196/mhealth.3422

Teixeira, V., Voci, S. M., Mendes-Netto, R. S., & da Silva, D. G. (2018). The Relative Validity of a Food Record Using the Smartphone Application MyFitnessPal. Nutrition & Dietetics: The Journal of the Dietitians Association of Australia, 75(2), 219-225. https://doi.org/10.1111/1747-0080.12401

Zhang, L., Misir, A., Boshuizen, H., & Ocké, M. (2021). A Systematic Review and Meta-Analysis of Validation Studies Performed on Dietary Record Apps. Advances in Nutrition, 12(6), 2321-2332. https://doi.org/10.1093/advances/nmab058

Downloads

Published

2026-04-29

Issue

Section

Articles

Categories