Robert B Hood1, Peter James2, Kelvin C Fong3, Lidia Mínguez-Alarcón4, Brent A Coull5, Joel Schwartz6, Itai Kloog7, Francine Laden6, Audrey J Gaskins8. 1. Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA. Electronic address: robert.baltasar.hood@emory.edu. 2. Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA. 3. School of the Environment, Yale University, New Haven, CT, USA. 4. Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA. 5. Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA. 6. Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine. Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA. 7. Department of Environmental Medicine & Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA. 8. Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA.
Abstract
BACKGROUND: 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. METHODS: 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 <2.5 μm (PM2.5) for the 3 months prior to AFC. Poisson regression models with robust standard errors were used to estimate the association between peak greenness, average PM2.5 exposure, and AFC adjusted for age, BMI, smoking status, education, year, and season. RESULTS: Women 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 PM2.5 was associated with lower AFC (-6.2% per 2 μg/m3 [1 SD increase] 95% CI -11.8, -0.3). There was a significant interaction between exposure to PM2.5 and peak greenness on AFC (P-interaction: 0.03). Among women with an average PM2.5 exposure of 7 μg/m3, a SD increase in residential peak greenness was associated with a 5.6% (95% CI -0.4, 12.0) higher AFC. Conversely, among women with a PM2.5 exposure of 12 μg/m3, a SD increase in residential peak greenness was associated with a 5.8% (95% CI -13.1, 2.1) lower AFC. CONCLUSIONS: Residing in an area with high levels of greenness may slow reproductive aging in women only when exposure to PM2.5 is low.
BACKGROUND: 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. METHODS: 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 <2.5 μm (PM2.5) for the 3 months prior to AFC. Poisson regression models with robust standard errors were used to estimate the association between peak greenness, average PM2.5 exposure, and AFC adjusted for age, BMI, smoking status, education, year, and season. RESULTS: Women 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 PM2.5 was associated with lower AFC (-6.2% per 2 μg/m3 [1 SD increase] 95% CI -11.8, -0.3). There was a significant interaction between exposure to PM2.5 and peak greenness on AFC (P-interaction: 0.03). Among women with an average PM2.5 exposure of 7 μg/m3, a SD increase in residential peak greenness was associated with a 5.6% (95% CI -0.4, 12.0) higher AFC. Conversely, among women with a PM2.5 exposure of 12 μg/m3, a SD increase in residential peak greenness was associated with a 5.8% (95% CI -13.1, 2.1) lower AFC. CONCLUSIONS: Residing in an area with high levels of greenness may slow reproductive aging in women only when exposure to PM2.5 is low.
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