Lyndsey K Blair, Erica T Warner, Peter James, Jaime E Hart, Trang VoPham, Mollie E Barnard, Johnnie D Newton, Divya J Murthy, Francine Laden, Rulla M Tamimi, Natalie C DuPre
{"title":"Exposure to natural vegetation in relation to mammographic density in a Massachusetts-based clinical cohort.","authors":"Lyndsey K Blair, Erica T Warner, Peter James, Jaime E Hart, Trang VoPham, Mollie E Barnard, Johnnie D Newton, Divya J Murthy, Francine Laden, Rulla M Tamimi, Natalie C DuPre","doi":"10.1097/EE9.0000000000000216","DOIUrl":null,"url":null,"abstract":"<p><p>Inverse associations between natural vegetation exposure (i.e., greenness) and breast cancer risk have been reported; however, it remains unknown whether greenness affects breast tissue development or operates through other mechanisms (e.g., body mass index [BMI] or physical activity). We examined the association between greenness and mammographic density-a strong breast cancer risk factor-to determine whether greenness influences breast tissue composition independent of lifestyle factors.</p><p><strong>Methods: </strong>Women (n = 2,318) without a history of breast cancer underwent mammographic screening at Brigham and Women's Hospital in Boston, Massachusetts, from 2006 to 2014. Normalized Difference Vegetation Index (NDVI) satellite data at 1-km<sup>2</sup> resolution were used to estimate greenness at participants' residential address 1, 3, and 5 years before mammogram. We used multivariable linear regression to estimate differences in log-transformed volumetric mammographic density measures and 95% confidence intervals (CIs) for each 0.1 unit increase in NDVI.</p><p><strong>Results: </strong>Five-year annual average NDVI was not associated with percent mammographic density in premenopausal (β = -0.01; 95% CI = -0.03, 0.02; <i>P</i> = 0.58) and postmenopausal women (β = -0.02; 95% CI = -0.04, 0.01; <i>P</i> = 0.18). Results were similar for 1-year and 3-year NDVI measures and in models including potential mediators of BMI and physical activity. There were also no associations between greenness and dense volume and nondense volume.</p><p><strong>Conclusions: </strong>Greenness exposures were not associated with mammographic density.</p><p><strong>Impact: </strong>Prior observations of a protective association between greenness and breast cancer may not be driven by differences in breast tissue composition, as measured by mammographic density, but rather other mechanisms.</p>","PeriodicalId":11713,"journal":{"name":"Environmental Epidemiology","volume":null,"pages":null},"PeriodicalIF":3.3000,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/34/94/ee9-6-e216.PMC9374192.pdf","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Epidemiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1097/EE9.0000000000000216","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 1
Abstract
Inverse associations between natural vegetation exposure (i.e., greenness) and breast cancer risk have been reported; however, it remains unknown whether greenness affects breast tissue development or operates through other mechanisms (e.g., body mass index [BMI] or physical activity). We examined the association between greenness and mammographic density-a strong breast cancer risk factor-to determine whether greenness influences breast tissue composition independent of lifestyle factors.
Methods: Women (n = 2,318) without a history of breast cancer underwent mammographic screening at Brigham and Women's Hospital in Boston, Massachusetts, from 2006 to 2014. Normalized Difference Vegetation Index (NDVI) satellite data at 1-km2 resolution were used to estimate greenness at participants' residential address 1, 3, and 5 years before mammogram. We used multivariable linear regression to estimate differences in log-transformed volumetric mammographic density measures and 95% confidence intervals (CIs) for each 0.1 unit increase in NDVI.
Results: Five-year annual average NDVI was not associated with percent mammographic density in premenopausal (β = -0.01; 95% CI = -0.03, 0.02; P = 0.58) and postmenopausal women (β = -0.02; 95% CI = -0.04, 0.01; P = 0.18). Results were similar for 1-year and 3-year NDVI measures and in models including potential mediators of BMI and physical activity. There were also no associations between greenness and dense volume and nondense volume.
Conclusions: Greenness exposures were not associated with mammographic density.
Impact: Prior observations of a protective association between greenness and breast cancer may not be driven by differences in breast tissue composition, as measured by mammographic density, but rather other mechanisms.