ArticleEnvironmental research2021
The influence of fine particulate matter on the association between residential greenness and ovarian reserve.
Article in Environmental research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 3 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 3 syntheses or guidelines pooled it, 28 citations in OpenAlex.
- Assessment of ovarian dysfunction induced by environmental toxins: a systematic review.Frontiers in public health · 2025Pooled it
- Air pollutants and ovarian reserve: a systematic review of the evidence.Frontiers in public health · 2024Pooled it
- Is Greenness Associated with Dementia? A Systematic Review and Dose-Response Meta-analysis.Current environmental health reports · 2022Pooled it
- Ambient Fine Particulate Matter, Residential Greenness, and Childhood Cancer Risk by Trimester of Exposure in Minnesota 2000 to 2014: A Case-Control Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025Article
- Review
- PM2.5, vegetation density, and childhood cancer: a case-control registry-based study from Texas 1995-2011.Journal of the National Cancer Institute · 2024Article
- Alkali and alkaline earth elements in follicular fluid and the likelihood of diminished ovarian reserve in reproductive-aged women: a case‒control study.Journal of ovarian research · 2024Article
- Potential factors result in diminished ovarian reserve: a comprehensive review.Journal of ovarian research · 2023Review
- Role of the Nrf2 Signaling Pathway in Ovarian Aging: Potential Mechanism and Protective Strategies.International journal of molecular sciences · 2023Review
- Associations between Residential Greenspace and Fecundability in a North American Preconception Cohort Study.Environmental health perspectives · 2023Article
- Poor ovarian response is associated with air pollutants: A multicentre study in China.EBioMedicine · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 5 institutions in 1 country.
Funding
Abstract
backgroundNatural 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.
methodsOur 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 m
resultsWomen in our study had a mean age of 35.2 years with a standard deviation (SD) of 4.3 years (min: 20 years, max: 45 years). The peak residential NDVI ranged from 0.07 to 0.92 with a SD of 0.18. There was no statistically significant association between peak residential greenness and AFC; however, higher exposure to PM
conclusionsResiding in an area with high levels of greenness may slow reproductive aging in women only when exposure to PM
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.