Development of a Mobile App for Personalized Dietary Monitoring and Feedback

Thesis Abstract

The increasing prevalence of diet-related non-communicable diseases underscores the urgent need for innovative approaches to promote healthy eating behaviors, with mobile health (mHealth) interventions emerging as a promising avenue. This study addresses the gap in accessible, personalized dietary monitoring tools by developing a mobile application designed to provide individualized dietary feedback based on user-entered data and real-time assessments. The primary aim is to create, implement, and evaluate a user-centric mobile app that enhances dietary self-monitoring and fosters sustainable dietary modifications through tailored feedback mechanisms. Specific objectives include (1) designing a user-friendly interface grounded in behavioral change theories, particularly the Social Cognitive Theory and the Health Belief Model; (2) integrating dietary assessment modules that utilize simplified food coding and barcode scanning for accurate data entry; (3) implementing algorithms to generate personalized nutritional feedback and actionable recommendations; (4) assessing the app’s usability, user engagement, and dietary behavior change over a six-month period among adult users; and (5) evaluating the impact of the app on dietary intake, attitude towards healthy eating, and self-efficacy using validated questionnaires. The research adopts a mixed-methods approach comprising a quantitative quasi-experimental pretest-posttest control group design and a qualitative component involving thematic analysis of user feedback. The study population includes 200 adult participants aged 25-50 years drawn from urban community health centers, with a stratified random sampling technique utilized to ensure demographic representativeness. The intervention group of 100 participants will use the developed mobile app, while a control group of 100 will receive standard dietary counseling. Data collection instruments comprise structured questionnaires such as the Dietary Self-Efficacy Scale, the Food Frequency Questionnaire, and a User Satisfaction Survey, alongside app usage logs. Validity and reliability of instruments will be established through pilot testing and Cronbach’s alpha coefficients exceeding 0.80. Quantitative data will be analyzed using descriptive statistics, paired t-tests, chi-square tests, and multiple regression analysis to determine the app’s efficacy in improving dietary behaviors and psychological constructs. Qualitative data will be subjected to thematic content analysis using NVivo software to explore user experiences, perceived barriers, and facilitators to app engagement. Expected findings anticipate significant improvements in the dietary quality and self-efficacy of app users compared to the control group, particularly in fruit and vegetable intake, reduced consumption of processed foods, and higher adherence to personalized recommendations. The study also expects high user satisfaction and engagement levels, indicating the app’s acceptability and feasibility as a dietary intervention tool. The integration of behavioral theories into app design is projected to enhance motivation and sustain dietary changes, supporting prior evidence on digital interventions. The research contributes to the emerging body of knowledge on mobile health solutions by demonstrating the practical application of ICT in personalized nutrition. It offers a scalable and cost-effective approach capable of reaching diverse populations and fostering health-promoting behaviors. The main conclusion underscores the potential of tailored mobile apps to revolutionize dietary self-management and promote healthier lifestyles. Recommendations include integrating such applications into existing health promotion programs, expanding features to include physical activity tracking, and conducting longitudinal studies to assess long-term behavioral maintenance. Future research should explore the app’s applicability across different demographic groups and include biometric data for more comprehensive health monitoring. Overall, this study advances the understanding of technology-driven dietary interventions and provides a foundation for policymakers, health practitioners, and developers to leverage mobile solutions in public health nutrition.