Using technology to predict and prevent eating disorder symptoms and outcomes
Official title: Personalized Networks and Sensor Technology Algorithms of Eating Disorder Symptoms Predicting Eating Disorder Outcomes
Funded at University of Louisville · NIH-10652078 · Data updated 2026-11-12
This study is looking at how using personalized technology can help people with eating disorders by predicting and preventing symptoms like binge eating and purging, and it involves collecting real-time health data from participants over two years to better understand their experiences and improve treatment.
Quick facts
| Grant type | R15 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Louisville NIH-funded |
| Lab location | 1 site (Louisville, United States) |
| Project start | June 15, 2023 |
| Project end | June 14, 2026 |
| Funding year | 2023 |
| Award (this year) | $469,500 |
| NIH project number | 2R15MH121445-02 |
| Project ID | NIH-10652078 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals diagnosed with anorexia nervosa, atypical anorexia, or bulimia nervosa.
✕Less likely to help
Patients who do not have a diagnosis of an eating disorder may not benefit from this research.
What this research studies
This research investigates how personalized networks and sensor technology can help predict and prevent symptoms of eating disorders, such as binge eating and purging. By collecting real-time physiological data from individuals diagnosed with various eating disorders, the study aims to develop models that can identify when these problematic behaviors may occur. Participants will be monitored over two years, allowing researchers to analyze patterns and improve treatment outcomes. The goal is to enhance understanding of individual experiences with eating disorders and tailor interventions accordingly.
Why it matters
Potential benefit: If successful, this research could lead to more effective prevention strategies and personalized treatments for individuals with eating disorders.
How similar studies have gone: Previous research has shown promise in using technology and personalized approaches to improve treatment outcomes for eating disorders, indicating that this approach may be effective.
Where this research is happening
-
University of Louisville
Louisville, United States Active
Researchers
- Principal investigator: Levinson, Cheri Alicia — University of Louisville
- Study coordinator: Levinson, Cheri Alicia
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.