Association of air pollution and green space with endometriosis among women undergoing assisted reproductive technology: a cross-sectional study in Anhui, China
This study found that increased exposure to air pollutants (PM2.5, PM10, SO2, NO2, CO) was associated with higher odds of endometriosis, while green space was protective, and an interaction between green space and CO suggested a mitigating effect.
One-sentence paraphrase of the abstract; not a substitute for reading it. No clinical advice. How this works
This cross-sectional study evaluated whether ambient air pollution and residential green space were associated with endometriosis-related infertility among 20,981 women undergoing assisted reproductive technology at a large center in Anhui, China, with 1,201 diagnosed. Using satellite-based spatiotemporal models, the authors quantified exposures to PM2.5, PM10, NO2, CO, and SO2 and green space via NDVI, then estimated adjusted odds ratios with multivariable logistic regression. They found that each interquartile-range increase in several pollutants was associated with higher odds of endometriosis prevalence (e.g., PM2.5 aOR 1.20; NO2 aOR 1.18), while higher NDVI500 m was associated with lower odds (aOR 0.72), and an additive antagonistic interaction was observed between NDVI500 m and CO. This paper is centrally about endometriosis — it analyzes how air pollution and green space relate to endometriosis-related infertility in women undergoing ART.
Read from the paper's body, not the abstract. Not a substitute for reading the paper. No clinical advice. How this works
Abstract
Full text
2,927 characters
· extracted from
oa-doi-fallback
· 2 sections
· click to expand
Abstract
Acknowledgements
Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.
My notes (saved in your browser only)
Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works
Condition tags
MeSH descriptors
Citation neighborhood (no data yet)
We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.
Source provenance
- europepmc
- last seen: 2026-06-24T06:10:11.469335+00:00
- pubmed
- last seen: 2026-06-24T06:07:01.243836+00:00
- unpaywall
- last seen: 2026-06-24T06:27:47.060558+00:00
Courtesy of the U.S. National Library of Medicine