Virtual Dietitian as a Precision Nutrition Application for Gym and Fitness Enthusiasts: A Quality Improvement Initiative

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Virtual Dietitian as a Precision Nutrition Application for Gym and Fitness Enthusiasts: A Quality Improvement Initiative

The Virtual Dietitian (VD) application is a nutrition knowledge-based system that generates personalized meal plans in accordance with the one-size-does-not-fit-all concept of precision nutrition. A subset of the population that was not involved in its four-part developmental study was gym and fitness enthusiasts despite them being important target users. As part of our quality improvement (QI) plan, we initiated a two-phase user testing to inform modifications to VD. We recruited a total of 30 users with prior experience in nutrition applications. In phase 1, they used the current version of VD for a week and answered a mixed-form questionnaire afterward. We used the same questionnaire from our previous study, which is composed of System Usability Scale (SUS) items and open-ended questions. After months of system modification, the same set of users evaluated again the new VD version after another week of use. A paired-sample t-test showed a statistically significant difference in SUS scores before (SUS = 79) and after (SUS = 82) modifying VD based on the suggestions of the participants (p = 0.005). Some new features include water tracker and reminder modules, Google Fit integration, and other nutrition support services (e.g., teleconsultation with registered dietitians). Although further refinements to VD are still needed, we were able to incorporate a QI initiative typically employed by healthcare organizations into software development for a better and improved personalized nutrition application.

Abstract:

The Virtual Dietitian (VD) application is a nutrition knowledge-based system that generates personalized meal plans in accordance with the one-size-does-not-fit-all concept of precision nutrition. A subset of the population that was not involved in its four-part developmental study was gym and fitness enthusiasts despite them being important target users. As part of our quality improvement (QI) plan, we initiated a two-phase user testing to inform modifications to VD. We recruited a total of 30 users with prior experience in nutrition applications. In phase 1, they used the current version of VD for a week and answered a mixed-form questionnaire afterward. We used the same questionnaire from our previous study, which is composed of System Usability Scale (SUS) items and open-ended questions. After months of system modification, the same set of users evaluated again the new VD version after another week of use. A paired-sample t-test showed a statistically significant difference in SUS scores before (SUS = 79) and after (SUS = 82) modifying VD based on the suggestions of the participants (p = 0.005). Some new features include water tracker and reminder modules, Google Fit integration, and other nutrition support services (e.g., teleconsultation with registered dietitians). Although further refinements to VD are still needed, we were able to incorporate a QI initiative typically employed by healthcare organizations into software development for a better and improved personalized nutrition application.
 
Date of Conference: 01-04 December 2022
Date Added to IEEE Xplore: 01 May 2023
 

ISSN Information:

Conference Location: Boracay Island, Philippines
 

This study demonstrates how quality improvement (QI) frameworks, commonly used in healthcare, can be adapted into the iterative design and evaluation of digital health applications. The Virtual Dietitian (VD) system was originally built on the principle of precision nutrition—moving beyond the generic, one-size-fits-all model to provide individualized meal planning. However, an important target group, gym and fitness enthusiasts, had not yet been considered in its development.

By recruiting experienced users and running a two-phase longitudinal user evaluation, the research team applied a structured feedback-and-revision cycle. In phase one, baseline usability was established, combining quantitative (System Usability Scale, SUS) scores with qualitative open-ended feedback. The developers then refined the tool, adding practical lifestyle features (e.g., hydration tracker, fitness integration, professional support channels). In phase two, the same users retested the improved system, allowing for a direct within-subjects comparison.

The statistically significant improvement in SUS scores (from 79 to 82, p = 0.005) suggests that user-centered modifications—though incremental—meaningfully enhanced usability and user satisfaction. Beyond numeric improvements, the addition of behavior-support modules reflects a shift from pure nutritional advice to a holistic wellness platform.

The study highlights three important insights:

  1. Iterative QI-informed development ensures that digital health tools evolve in response to end-user needs, much like clinical interventions.

  2. Even high-performing systems (baseline SUS of 79 is already considered “excellent”) can still be optimized through structured user feedback.

  3. The inclusion of multi-dimensional support (nutrition, fitness tracking, professional advice) positions VD as a more comprehensive, adaptable solution for precision nutrition.

In summary, this work not only demonstrates measurable usability gains but also serves as a model for integrating QI strategies into health tech innovation, bridging the gap between healthcare frameworks and consumer-facing digital applications.

Exercise is important for health because it supports the body and mind in multiple interconnected ways:

1. Physical Health Benefits

  • Cardiovascular health: Regular exercise strengthens the heart, improves circulation, lowers blood pressure, and reduces the risk of heart disease and stroke.

  • Metabolic function: Physical activity helps regulate blood sugar, improves insulin sensitivity, and lowers the risk of type 2 diabetes.

  • Weight management: Exercise burns calories, increases metabolism, and preserves lean muscle mass, which helps maintain a healthy body weight.

  • Musculoskeletal health: Weight-bearing and resistance exercises strengthen bones and muscles, reducing the risk of osteoporosis, arthritis, and age-related weakness.

  • Immune system support: Moderate exercise enhances immune defenses, making the body more resistant to infections.

2. Mental Health Benefits

  • Mood regulation: Exercise releases endorphins and other brain chemicals that reduce stress, anxiety, and symptoms of depression.

  • Cognitive function: Physical activity boosts blood flow to the brain, improving memory, attention, and learning while lowering the risk of dementia.

  • Sleep quality: Regular activity helps regulate circadian rhythms, promoting deeper and more restorative sleep.

3. Long-Term Disease Prevention

  • Regular exercise lowers the risk of chronic diseases such as hypertension, diabetes, obesity, osteoporosis, certain cancers, and neurodegenerative disorders.

  • It helps improve longevity and quality of life by delaying functional decline associated with aging.

4. Functional and Daily Life Benefits

  • Improves balance, coordination, and flexibility, reducing fall risk in older adults.

  • Enhances stamina and energy levels, making daily tasks easier and less tiring.

  • Builds resilience to physical and psychological stress

 

👉 In essence, exercise is not just about fitness—it acts like a “medicine” for the whole body, preventing disease, improving mental well-being, and promoting long, active, and fulfilling lives.

 

Goal Setting and Personalization

  • Apps allow users to set specific, measurable, and achievable fitness goals (e.g., run 5 km in 4 weeks, complete 10,000 steps daily).

  • Personalization features (age, fitness level, preferences) make goals feel attainable and relevant, increasing motivation.


 

2. Tracking and Feedback

  • Real-time tracking (steps, calories, heart rate, workouts) gives users immediate feedback on their progress.

  • Seeing measurable improvement (e.g., running faster, burning more calories) reinforces behavior through positive reinforcement.


 

3. Reminders and Nudges

  • Push notifications remind users to move, hydrate, or exercise.

  • Behavioral nudges (e.g., “You’re only 1,000 steps away from your goal!”) encourage users to stay active without being overwhelming.


 

4. Gamification

  • Many apps use game-like features—badges, points, levels, and virtual rewards—to make exercise feel fun.

  • Challenges (e.g., 7-day streaks, step competitions) trigger healthy competition and commitment.


 

5. Social Connection and Community

  • Integration with friends or online fitness communities provides accountability and encouragement.

  • Sharing progress on leaderboards or social media fosters peer support and motivation.


 

6. Education and Guidance

  • Apps provide workout tutorials, exercise plans, and nutrition tips, reducing barriers caused by lack of knowledge.

  • Some apps even connect users with trainers or dietitians for professional guidance.


 

7. Integration with Daily Life

  • Syncing with wearables (e.g., smartwatches, Google Fit, Apple Health) helps exercise become part of daily routines.

  • Many apps adapt to busy schedules, offering short workouts or flexible plans, making consistency easier.


 

8. Rewards and Incentives

  • Some apps link activity to real-world rewards (discounts, vouchers, or charity donations).

  • This creates an extrinsic motivation loop that can turn into long-term intrinsic motivation.


 

In summary: Mobile applications motivate people to exercise by making fitness personalized, measurable, social, and rewarding—turning healthy behaviors into habits through a blend of psychology and technology.

 

link of study:

https://ieeexplore.ieee.org/abstract/document/10109490/

reference of study:

Garcia, M. B., Revano, T. F., Loresco, P. J. M., Maaliw, R. R., Oducado, R. M. F., & Uludag, K. (2022, December). Virtual dietitian as a precision nutrition application for gym and fitness enthusiasts: a quality improvement initiative. In 2022 IEEE 14th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) (pp. 1-5). IEEE.

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