Background: Toxicological evidence suggests that ambient air pollution has endocrine-disrupting properties that can affect menstrual cycle functioning, which represents an important marker of women's reproductive health. We aimed to estimate the effect of short-term and long-term PM exposure on menstrual cycle outcomes across the USA, Brazil, and Mexico using self-reported data from a mobile health app.
Methods: For this prospective observational study, we collected de-identified self-reported data from the Clue mobile health app, in which users self-tracked menstruation cycles.
J Expo Sci Environ Epidemiol
February 2025
Background: Odors are a documented environmental justice challenge in Denver, Colorado. Complaints are an important modality through which residents express their concerns.
Objective: We investigated disparities in environmental justice related-variables, such as home and workplace census block groups (race/ethnicity, education levels, renter-occupied housing, median income and median home values, gentrification) by locations of odor complaints as well as that of potential malodorous facilities.
We evaluated the sensitivity of estimated PM and NO health impacts to varying key input parameters and assumptions including: 1) the spatial scale at which impacts are estimated, 2) using either a single concentration-response function (CRF) or using racial/ethnic group specific CRFs from the same epidemiologic study, 3) assigning exposure to residents based on home, instead of home and work locations for the state of Colorado. We found that the spatial scale of the analysis influences the magnitude of NO, but not PM, attributable deaths. Using county-level predictions instead of 1 km predictions of NO resulted in a lower estimate of mortality attributable to NO by ∼ 50 % for all of Colorado for each year between 2000 and 2020.
View Article and Find Full Text PDFDue to the lack of timely data on socioeconomic factors (SES), little research has evaluated if socially disadvantaged populations are disproportionately exposed to higher PM concentrations in India. We fill this gap by creating a rich dataset of SES parameters for 28,081 clusters (villages in rural India and census-blocks in urban India) from the National Family and Health Survey (NFHS-4) using a precision-weighted methodology that accounts for survey-design. We then evaluated associations between total, anthropogenic and source-specific PM exposures and SES variables using fully-adjusted multilevel models.
View Article and Find Full Text PDFSci Total Environ
April 2022
Background: Ambient exposure to fine particulate matter (PM) is one of the top global health concerns. We estimate the associations between in-utero and perinatal exposure to PM and infant, neonatal and postneonatal mortality in India. We evaluate the sensitivity of this association to two widely-used exposure assessments.
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