Related Experiment Video
Updated: May 13, 2026

Lung microRNA Profiling Across the Estrous Cycle in Ozone-exposed Mice
Published on: January 7, 2019
The effect of air pollution exposure on menstrual cycle health using self-reported data from a mobile health app: a
Priyanka N deSouza1, Amanda A Shea2, Virginia J Vitzthum3
1Department of Urban and Regional Planning, University of Colorado Denver, Denver, CO, USA; CU Population Center, University of Colorado Boulder, Boulder, CO, USA; Senseable City Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA.
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 PM2·5 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. For the current study, eligible participants were aged 18-44 years, were not using hormonal birth control, and lived in one of 230 cities in the USA, Mexico, or Brazil. The primary outcome of interest at the city level was the proportion of menstrual cycles with abnormally short length (<24 days) and long length (>38 days) of all cycles recorded. The primary outcome at the cycle level was a binary indicator: abnormal cycle length (<24 days or >38 days) or not (normal cycle length). We used regression analyses to evaluate associations between long-term PM2·5 concentrations (mean concentration between 2016 and 2020) and the city-level outcomes after controlling for potential confounders. Conditional logistic regression models were used to evaluate associations between cycle-specific PM2·5 and if a cycle was of abnormal length within an individual in the dataset, after controlling for time-varying factors.
Findings:
Between Jan 1, 2016 and Dec 31, 2020, 92 550 app users residing in 230 cities across the USA, Brazil, and Mexico provided data corresponding to 2 220 281 menstrual cycles, and were included in our main cohort. A significant association was observed between long-term PM2·5 exposure and the proportion of menstrual cycles of abnormally long or short duration (odds ratio [OR] 1·023 [95% CI 1·013-1·033]) and the proportion of cycles that were specifically abnormally long (OR 1·036 [1·023-1·049]) for every 10 microg/m3 increase in PM2·5. No associations were identified between short-term PM2·5 concentrations and abnormal cycle length.
Interpretation:
These findings suggest that PM2·5 exposure affects menstrual cycle outcomes. More research is needed to better elucidate the biological mechanisms through which PM2·5 affects the menstrual cycle.
Funding:
None.
More Related Videos
06:58An Application for Pairing with Wearable Devices to Monitor Personal Health Status
Published on: February 3, 2022
09:33Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India
Published on: December 23, 2022
Related Concept Videos
Observational Studies
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One example of...
Hormonal Regulation of the Menstrual Cycle
At puberty, GnRH begins a pulsatile release pattern, which triggers the anterior pituitary gland to secrete follicle-stimulating hormone (FSH) and luteinizing hormone (LH). The frequency and amplitude of GnRH pulses vary across the menstrual cycle, with faster pulses favoring LH release and slower pulses favoring FSH release.