Understanding why some participants drop out of lifestyle medicine programs
Official title: Predicting Attrition from a Lifestyle Medicine Intervention
Funded at State University New York Stony Brook · NIH-10903705 · Data updated 2026-11-12
This study is looking into why some World Trade Center responders leave lifestyle medicine programs early, and it aims to find ways to help more people stick with these programs by understanding their needs better.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | State University New York Stony Brook NIH-funded |
| Lab location | 1 site (Stony Brook, United States) |
| Project start | July 1, 2023 |
| Project end | June 30, 2025 |
| Funding year | 2024 |
| Award (this year) | $237,643 |
| NIH project number | 5R21OH012614-02 |
| Project ID | NIH-10903705 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are World Trade Center responders who are enrolling in lifestyle medicine programs.
✕Less likely to help
Patients who are not World Trade Center responders or those not participating in lifestyle medicine programs may not benefit from this research.
What this research studies
This research investigates the reasons behind high dropout rates in lifestyle medicine programs designed for World Trade Center responders. By analyzing psychological and behavioral factors through self-reports, medical exams, and advanced passive sensing technologies, the study aims to develop predictive algorithms that can identify individuals at risk of attrition. The research will involve 800 participants enrolled in a 3-month program focusing on nutrition, physical activity, sleep, and stress management. The goal is to enhance retention in these beneficial programs by implementing targeted interventions based on the predictions.
Why it matters
Potential benefit: If successful, this research could lead to improved retention rates in lifestyle medicine programs, ultimately enhancing the health outcomes of participants.
How similar studies have gone: While previous studies have identified risk factors for attrition, this research aims to rigorously validate a novel predictive algorithm using advanced data collection methods, making it a potentially groundbreaking approach.
Where this research is happening
-
State University New York Stony Brook
Stony Brook, United States Active
Researchers
- Principal investigator: Kotov, Roman I — State University New York Stony Brook
- Study coordinator: Kotov, Roman I
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.