Analyzing dietary patterns to improve health outcomes
Official title: iPAT:Intelligent Diet Quality Pattern Analysis for Harmonized MA-National Trials
Funded at University of Massachusetts Dartmouth · NIH-10640972 · Data updated 2026-11-12
This study is looking at how our eating habits affect our health, especially for people with chronic diseases like diabetes, and it aims to create better ways to understand and improve diet recommendations just for you.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Massachusetts Dartmouth NIH-funded |
| Lab location | 1 site (North Dartmouth, United States) |
| Project start | July 15, 2021 |
| Project end | June 30, 2026 |
| Funding year | 2023 |
| Award (this year) | $649,670 |
| NIH project number | 5R01DK129432-03 |
| Project ID | NIH-10640972 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals with chronic diseases, particularly diabetes, who are interested in understanding how dietary patterns affect their health.
✕Less likely to help
Patients who do not have chronic diseases or those who are not interested in dietary changes may not receive benefit from this research.
What this research studies
This research focuses on developing advanced methods to analyze dietary patterns and their relationship with health outcomes, particularly for chronic diseases like diabetes. By utilizing a large collection of longitudinal dietary data from multiple studies, the project aims to create innovative algorithms that can better characterize changes in diet quality over time. Patients may benefit from improved dietary guidelines and personalized nutrition recommendations based on more accurate data analysis. The research will involve collaboration across various health community centers to ensure comprehensive data collection and analysis.
Why it matters
Potential benefit: If successful, this research could lead to more effective dietary guidelines that improve health outcomes for patients with chronic diseases.
How similar studies have gone: Other research has shown success in using advanced algorithms to analyze dietary data, indicating that this approach has the potential for meaningful advancements.
Where this research is happening
-
University of Massachusetts Dartmouth
North Dartmouth, United States Active
Researchers
- Principal investigator: Fang, Hua — University of Massachusetts Dartmouth
- Study coordinator: Fang, Hua
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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.