Understanding how environmental exposures affect health over time
SEMIPARAMETRIC METHODS FOR MODELING OF TIME-DEPENDENT ENVIRONMENTAL EXPOSURES
['FUNDING_R01'] · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · NIH-11017721
This study is looking at how different environmental factors, like chemicals we might be exposed to, affect the health of kids and teens, especially regarding issues like kidney disease and blood pressure, and it's developing new ways to analyze this information over time to better understand these effects.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | NEW YORK UNIVERSITY SCHOOL OF MEDICINE (nih funded) |
| Locations | 1 site (NEW YORK, UNITED STATES) |
| Trial ID | NIH-11017721 on ClinicalTrials.gov |
What this research studies
This research focuses on developing new statistical methods to analyze how various environmental factors, such as chemical exposures, impact human health, particularly in children and adolescents. By examining how these exposures interact over time, the research aims to uncover their combined effects on health outcomes like chronic kidney disease and blood pressure. The approach involves creating advanced analytical tools that can handle the complexities of time-dependent data, which is crucial for understanding the broader implications of environmental health.
Who could benefit from this research
Good fit: Ideal candidates for this research include children and adolescents aged 0-20 who may be affected by environmental exposures, particularly in communities with high levels of pollutants.
Not a fit: Patients who are not within the age range of 0-20 or those not exposed to significant environmental risks may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to improved strategies for reducing health disparities and enhancing child health by better understanding the impact of environmental exposures.
How similar studies have performed: Previous research has shown success in using statistical methods to analyze environmental health data, making this approach both relevant and promising.
Where this research is happening
NEW YORK, UNITED STATES
- NEW YORK UNIVERSITY SCHOOL OF MEDICINE — NEW YORK, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: LIU, MENGLING — NEW YORK UNIVERSITY SCHOOL OF MEDICINE
- Study coordinator: LIU, MENGLING
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.