Predicting obesity risk in infants and young children
POWER: Predicting Obesity with Enhanced EHR Resources
This study is looking at how to spot which babies and young kids might be more likely to become overweight, so doctors can help them stay healthy from an early age.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Duke University NIH-funded |
| Lab location | 1 site (Durham, United States) |
| Project ID | NIH-10900459 on NIH RePORTER |
What this research studies
This research aims to identify which infants and young children are at the highest risk of developing obesity by analyzing various growth patterns and risk factors. It focuses on the critical early years of life, utilizing data from primary care visits to create predictive models that can help healthcare providers make informed decisions. The study will develop a clinical decision support tool that integrates real-time risk predictions, allowing for timely interventions to prevent obesity. By understanding the relationship between early growth patterns and obesity risk, the research seeks to enhance prevention strategies in clinical settings.
Who could benefit from this research
Good fit: Ideal candidates for this research include infants and young children, particularly those under the age of 5, who may be at risk for obesity.
Not a fit: Patients who are older than 11 years or those who do not have any risk factors for obesity may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to improved early interventions that significantly reduce the risk of obesity in children.
How similar studies have performed: Previous research has shown promise in using predictive models for obesity prevention, indicating that this approach could be effective.
Where this research is happening
Durham, United States
- Duke University — Durham, United States (Active)
Researchers
- Principal investigator: Wood, Charles T — Duke University
- Study coordinator: Wood, Charles T
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 below.