The influence of fine particulate matter on the association between residential greenness and ovarian reserve

Natural vegetation, or greenness, is thought to improve health through its ability to buffer and reduce harmful environmental exposures as well as relieve stress, promote physical activity, restore attention, and increase social cohesion. In concert, these effects could help mitigate the detrimental...

Full description

Saved in:
Bibliographic Details
Published in:Environmental research 2021-06, Vol.197, p.111162-111162, Article 111162
Main Authors: Hood, Robert B., James, Peter, Fong, Kelvin C., Mínguez-Alarcón, Lidia, Coull, Brent A., Schwartz, Joel, Kloog, Itai, Laden, Francine, Gaskins, Audrey J.
Format: Article
Language:English
Subjects:
Adult
Air Pollutants - analysis
Air Pollutants - toxicity
Air pollution
Air Pollution - analysis
Air Pollution - statistics & numerical data
Built environment
Environmental Exposure - analysis
Environmental Exposure - statistics & numerical data
Female
Fertility
Greenness
Humans
Massachusetts - epidemiology
Ovarian aging
Ovarian Reserve
Particulate Matter - analysis
Particulate Matter - toxicity
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Natural vegetation, or greenness, is thought to improve health through its ability to buffer and reduce harmful environmental exposures as well as relieve stress, promote physical activity, restore attention, and increase social cohesion. In concert, these effects could help mitigate the detrimental effects of air pollution on reproductive aging in women. Our analysis included 565 women attending the Massachusetts General Hospital Fertility Center (2004–2014) who had a measured antral follicle count (AFC), a marker of ovarian reserve. We calculated peak residential greenness in the year prior to AFC using 250 m2 normalized difference vegetation index (NDVI) from the Terra and Aqua satellites operated by the United States National Aeronautics and Space Administration. Validated spatiotemporal models estimated daily residential exposure to particulate matter
ISSN:0013-9351
1096-0953
DOI:10.1016/j.envres.2021.111162