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(http://www.niehs.nih.gov//portfolio/index.cfm?do=portfolio.grantdetail&&grant_number=R01ES029943&format=word)
| Principal Investigator: Kioumourtzoglou, Marianthi-Anna | |
|---|---|
| Institute Receiving Award | Columbia University Health Sciences |
| Location | New York, NY |
| Grant Number | R01ES029943 |
| Funding Organization | National Institute of Environmental Health Sciences |
| Award Funding Period | 06 Aug 2020 to 31 May 2025 |
| DESCRIPTION (provided by applicant): | Project Summary Miscarriage is the most common pregnancy complication in the United States, occurring in 15-20% of all clinically recognized pregnancies. It has devastating impacts on both parents, with elevated anxiety and depressive symptoms in the mother, and even post-traumatic stress disorder, lasting up to a year post-event. Identification of modifiable risk factors of pregnancy loss, thus, is of great public health importance. Ambient air pollution is an increasingly recognizable risk factor for pregnancy complications. Although some evidence exists linking air pollution to pregnancy loss, the need to identify pregnancy loss events through medical records is a large hurdle in comprehensively assessing this association. For the proposed work, we will employ a novel approach that uses the outcome metric of live birth-identified conceptions in a variation of the time series design to overcome this major limitation of all existing studies. To this end, we will use information on all live births recorded in Denmark between 1997 and 2017, and couple these with highly spatio-temporally resolved air pollution predictions from well-validated models. Specifically, we will (1) investigate the association between both particulate matter air pollution exposures, an indicator of the mixture of air pollution, and traffic- related air pollution, a component of ambient air pollution found to be especially toxic for pregnancy complications, and pregnancy loss; (2) identify the critical windows of vulnerability; (3) develop novel methodology to assess potential effect modification by multiple modifiers simultaneously while incorporating the highly resolved time-varying exposures during gestation; and (4) identify maternal- and neighborhood-level effect modifiers, and therefore, the most susceptible subpopulations to air pollution impacts. Our findings can greatly inform targeted regulations and policies, crafting of public health messages, and targeted interventions. |
| Science Code(s)/Area of Science(s) |
Primary: 66 - Female Reproduction Secondary: - |
| Publications | See publications associated with this Grant. |
| Program Officer | Abee Boyles |