Prenatal ozone exposure and child lung function: Exploring effect modification by oxidative balance score.

Background: Prenatal exposures to ozone (O) may impact child lung function, including through oxidative stress pathways, contributing to lifelong morbidity. Diet, reflected in oxidative balance scores (OBS), may modify these pathways and is a potential target for interventions to mitigate O effects.

Methods: We examined associations between prenatal exposure to O and child lung function at age 8-9 years via spirometry in the CANDLE cohort within the ECHO-PATHWAYS Consortium.

Association of Tailpipe-Related and Nontailpipe-Related Air Pollution Exposure with Cognitive Decline in the Chicago Health and Aging Project.

Background: Evidence suggests that long-term exposure to air pollution may increase the risk of dementia and related cognitive outcomes. A major source of air pollution is automotive traffic, which is modifiable by technological and regulatory interventions.

Objectives: We examined associations of four traffic-related air pollutants with rates of cognitive decline in a cohort of older adults.

Environmental and dietary factors associated with urinary OH-PAHs in mid-pregnancy in a large multi-site study.

Background: PAH exposure is associated with adverse health outcomes, but exposure sources in pregnancy are not well-understood.

Objectives: We examined associations between urinary OH-PAHs during pregnancy and environmental tobacco smoke (ETS) and short-term ambient air pollution exposure. Participants included 1,603 pregnant non-smokers in three cohorts from 7 sites across the USA.

Modeling HPV self-sampling impact on cervical cancer in East African immigrants.

Introduction: Cervical cancer screening uptake among East African immigrants (EAI) in the US is low. Offering self-collected samples for human papillomavirus (HPV) testing increases screening coverage among underserved populations, but the potential impact on cervical cancer incidence and mortality is understudied.

Methods: A Markov cohort state-transition model was used to predict the impact of primary HPV screening with self-sampling on cervical cancer incidence and mortality among EAI women in Washington state.

National PM spatiotemporal model integrating intensive monitoring data and land use regression in a likelihood-based universal kriging framework in the United States: 2000-2019.

Nationwide PM exposure models typically rely on regulatory monitoring data as the only ground-level measurements. In this study, we develop a high-resolution spatiotemporal PM model for the contiguous United States from 2000 to 2019 with dense monitoring data at both regulatory and residential sites. Specifically, we combine publicly-available data from 1843 regulatory monitors with our own set of multiple 2-week measurements at 939 residential locations.