Analyzing how environmental factors affect children's health through complex data
Official title: Statistical methods for analysis of high-dimensional mediation pathways
Funded at University of Michigan at Ann Arbor · NIH-11026440 · Data updated 2026-11-12
This study looks at how things like where kids live and their family's situation affect their growth and health, especially regarding weight and thinking skills, to help doctors and researchers find better ways to support children's health.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Michigan at Ann Arbor NIH-funded |
| Lab location | 1 site (Ann Arbor, United States) |
| Project start | April 19, 2023 |
| Project end | January 31, 2027 |
| Funding year | 2025 |
| Award (this year) | $344,676 |
| NIH project number | 5R01ES033656-03 |
| Project ID | NIH-11026440 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include children and adolescents aged 0-20 who may be affected by obesity or related health conditions.
✕Less likely to help
Patients who are outside the age range of 0-20 years or do not have concerns related to obesity or growth may not benefit from this research.
What this research studies
This research investigates how various environmental and socioeconomic factors influence children's growth and health outcomes, particularly focusing on obesity and cognitive function. By utilizing advanced statistical methods and algorithms, the study aims to analyze high-dimensional biological data to identify key pathways that mediate these effects. The goal is to develop new tools that can help researchers and healthcare providers better understand the underlying mechanisms affecting children's health. This innovative approach will allow for more accurate assessments of how different factors contribute to health disparities in children.
Why it matters
Potential benefit: If successful, this research could lead to improved strategies for preventing and managing obesity and other health issues in children.
How similar studies have gone: Previous research has shown promise in using statistical methods to analyze complex health data, indicating that this approach could yield valuable insights.
Where this research is happening
-
University of Michigan at Ann Arbor
Ann Arbor, United States Active
Researchers
- Principal investigator: Song, Peter Xuekun — University of Michigan at Ann Arbor
- Study coordinator: Song, Peter Xuekun
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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.