Food and Physical Activity Tracking Application with Simple Dietary Pattern Analysis
DOI:
10.33395/sinkron.v9i1.14234Keywords:
Activity tracking, Food intake, Healthier lifestyle, Mobile application, Physical activityAbstract
This study focuses on the development of a mobile application to track food intake and physical activity while offering simple dietary pattern analysis. The primary goal was to create an intuitive tool enabling users to log meals, record physical activities, and receive actionable feedback on caloric balance. Developed using Agile methodology, the application includes user-friendly interfaces for data entry, a dashboard for visualizing caloric intake and expenditure, and feedback to enhance users’ understanding of dietary habits. Results from a one week user testing phase demonstrated high user satisfaction, with participants appreciating the app’s simplicity and clarity in presenting health-related insights. The app effectively encouraged users to engage with their dietary and activity habits, promoting informed lifestyle decisions. However, limitations such as the lack of detailed macronutrient tracking and integration with wearable devices were identified, which could improve accuracy and broaden the app's appeal. Future improvements are suggested, including the addition of macronutrient analysis, wearable device compatibility, and features like goal-setting and gamification to enhance engagement. These findings indicate that a straightforward, user-friendly health tracking app can significantly increase health awareness and support behavior change, particularly for individuals new to health monitoring. The research highlights the potential of simple digital tools to foster sustainable health improvements while addressing users’ needs effectively.
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References
Alshurafa, N., Lin, A. W., Zhu, F., Ghaffari, R., Hester, J., Delp, E., Rogers, J., & Spring, B. (2019). Counting Bites With Bits: Expert Workshop Addressing Calorie and Macronutrient Intake Monitoring. Journal of Medical Internet Research, 21(12), e14904. https://doi.org/10.2196/14904
Chen, J., Berkman, W., Bardouh, M., Ng, C. Y. K., & Allman-Farinelli, M. (2019). The use of a food logging app in the naturalistic setting fails to provide accurate measurements of nutrients and poses usability challenges. Nutrition, 57, 208–216. https://doi.org/10.1016/j.nut.2018.05.003
Coughlin, S. S., Whitehead, M., Sheats, J. Q., Mastromonico, J., Hardy, D., & Smith, S. A. (2015). Smartphone Applications for Promoting Healthy Diet and Nutrition: A Literature Review. Jacobs Journal of Food and Nutrition, 2(3), 021.
Dubey, V., Lumbroso, J., & Advisor, #. (2023). Analyzing the Effects of Caloric and Macronutrient Consumption on Productivity: A Quantified Self Approach to Assess Work Patterns and Habits Archbishop Mitty High School. Journal of Student Research, 12(4). www.JSR.org/hs
Ghanvatkar, S., Kankanhalli, A., & Rajan, V. (2019). User Models for Personalized Physical Activity Interventions: Scoping Review. JMIR MHealth and UHealth, 7(1), e11098. https://doi.org/10.2196/11098
Gilliland, J., Sadler, R., Clark, A., O’Connor, C., Milczarek, M., & Doherty, S. (2015). Using a Smartphone Application to Promote Healthy Dietary Behaviours and Local Food Consumption. BioMed Research International, 2015, 1–11. https://doi.org/10.1155/2015/841368
Hamaya, R., Fukuda, H., Takebayashi, M., Mori, M., Matsushima, R., Nakano, K., Miyake, K., Tani, Y., & Yokokawa, H. (2021). Effects of an mHealth App (Kencom) With Integrated Functions for Healthy Lifestyles on Physical Activity Levels and Cardiovascular Risk Biomarkers: Observational Study of 12,602 Users. Journal of Medical Internet Research, 23(4), e21622. https://doi.org/10.2196/21622
Honary, M., Bell, B. T., Clinch, S., Wild, S. E., & McNaney, R. (2019). Understanding the Role of Healthy Eating and Fitness Mobile Apps in the Formation of Maladaptive Eating and Exercise Behaviors in Young People. JMIR MHealth and UHealth, 7(6), e14239. https://doi.org/10.2196/14239
Huh, U., Tak, Y. J., Song, S., Chung, S. W., Sung, S. M., Lee, C. W., Bae, M., & Ahn, H. Y. (2019). Feedback on Physical Activity Through a Wearable Device Connected to a Mobile Phone App in Patients With Metabolic Syndrome: Pilot Study. JMIR MHealth and UHealth, 7(6), e13381. https://doi.org/10.2196/13381
Hussain, S. (2024). Exploring the Development and Use of Mobile Apps to Promote a Sustainable and Healthy Diet in Young Adults.
Kamel Boulos, M. N., & Yang, S. P. (2021). Mobile physical activity planning and tracking: a brief overview of current options and desiderata for future solutions. MHealth, 7, 13–13. https://doi.org/10.21037/mhealth.2020.01.01
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
Laranjo, L., Ding, D., Heleno, B., Kocaballi, B., Quiroz, J. C., Tong, H. L., Chahwan, B., Neves, A. L., Gabarron, E., Dao, K. P., Rodrigues, D., Neves, G. C., Antunes, M. L., Coiera, E., & Bates, D. W. (2021). Do smartphone applications and activity trackers increase physical activity in adults? Systematic review, meta-analysis and metaregression. British Journal of Sports Medicine, 55(8), 422–432. https://doi.org/10.1136/bjsports-2020-102892
Lugones-Sanchez, C., Recio-Rodriguez, J. I., Agudo-Conde, C., Repiso-Gento, I., G Adalia, E., Ramirez-Manent, J. I., Sanchez-Calavera, M. A., Rodriguez-Sanchez, E., Gomez-Marcos, M. A., & Garcia-Ortiz, L. (2022). Long-term Effectiveness of a Smartphone App Combined With a Smart Band on Weight Loss, Physical Activity, and Caloric Intake in a Population With Overweight and Obesity (Evident 3 Study): Randomized Controlled Trial. Journal of Medical Internet Research, 24(2), e30416. https://doi.org/10.2196/30416
Maringer, M., Wisse-Voorwinden, N., Veer, P. van ’t, & Geelen, A. (2018). Food identification by barcode scanning in the Netherlands: a quality assessment of labelled food product databases underlying popular nutrition applications. Public Health Nutrition, 1–8. https://doi.org/10.1017/S136898001800157X
Martin, C. K., Gilmore, L. A., Apolzan, J. W., Myers, C. A., Thomas, D. M., & Redman, L. M. (2016). Smartloss: A Personalized Mobile Health Intervention for Weight Management and Health Promotion. JMIR MHealth and UHealth, 4(1), e18. https://doi.org/10.2196/mhealth.5027
Mathur, P., & Mascarenhas, L. (2019). Life style Diseases: Keeping Fit for a Better Tomorrow. Indian Journal of Medical Research, 149(7), 129. https://doi.org/10.4103/0971-5916.251669
Monteiro-Guerra, F., Rivera-Romero, O., Fernandez-Luque, L., & Caulfield, B. (2020). Personalization in Real-Time Physical Activity Coaching Using Mobile Applications: A Scoping Review. In IEEE Journal of Biomedical and Health Informatics (Vol. 24, Issue 6, pp. 1738–1751). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/JBHI.2019.2947243
Ometov, A., Shubina, V., Klus, L., Skibińska, J., Saafi, S., Pascacio, P., Flueratoru, L., Gaibor, D. Q., Chukhno, N., Chukhno, O., Ali, A., Channa, A., Svertoka, E., Qaim, W. Bin, Casanova-Marqués, R., Holcer, S., Torres-Sospedra, J., Casteleyn, S., Ruggeri, G., … Lohan, E. S. (2021). A Survey on Wearable Technology: History, State-of-the-Art and Current Challenges. Computer Networks, 193, 108074. https://doi.org/10.1016/j.comnet.2021.108074
Palma, J. P., Hron, J. D., & Luberti, A. A. (2020). Early experiences with combined fellowship training in clinical informatics. Journal of the American Medical Informatics Association, 27(5), 788–792. https://doi.org/10.1093/jamia/ocaa015
Samad, S., Ahmed, F., Naher, S., Kabir, M. A., Das, A., Amin, S., & Islam, S. M. S. (2022). Smartphone apps for tracking food consumption and recommendations: Evaluating artificial intelligence-based functionalities, features and quality of current apps. Intelligent Systems with Applications, 15, 200103. https://doi.org/10.1016/j.iswa.2022.200103
Shin, G., Jarrahi, M. H., Fei, Y., Karami, A., Gafinowitz, N., Byun, A., & Lu, X. (2019). Wearable activity trackers, accuracy, adoption, acceptance and health impact: A systematic literature review. Journal of Biomedical Informatics, 93, 103153. https://doi.org/10.1016/j.jbi.2019.103153
Zečević, M., Mijatović, D., Kos Koklič, M., Žabkar, V., & Gidaković, P. (2021). User Perspectives of Diet-Tracking Apps: Reviews Content Analysis and Topic Modeling. Journal of Medical Internet Research, 23(4), e25160. https://doi.org/10.2196/25160
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