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Lifetime changes in body fatness and breast density in postmenopausal women: the FEDRA study
BACKGROUND: High mammographic breast density (MBD) is an established risk factor for breast cancer (BC). Body fatness conveys an increased BC risk in postmenopause but is associated with less dense breasts. Here, we studied the relationship between body fatness and breast composition within the FEDR...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10067176/ https://www.ncbi.nlm.nih.gov/pubmed/37004102 http://dx.doi.org/10.1186/s13058-023-01624-5 |
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author | Masala, Giovanna Bendinelli, Benedetta Caini, Saverio Duroni, Giacomo Ermini, Ilaria Pastore, Elisa Fontana, Miriam Facchini, Luigi Querci, Andrea Gilio, Maria Antonietta Mazzalupo, Vincenzo Assedi, Melania Ambrogetti, Daniela Palli, Domenico |
author_facet | Masala, Giovanna Bendinelli, Benedetta Caini, Saverio Duroni, Giacomo Ermini, Ilaria Pastore, Elisa Fontana, Miriam Facchini, Luigi Querci, Andrea Gilio, Maria Antonietta Mazzalupo, Vincenzo Assedi, Melania Ambrogetti, Daniela Palli, Domenico |
author_sort | Masala, Giovanna |
collection | PubMed |
description | BACKGROUND: High mammographic breast density (MBD) is an established risk factor for breast cancer (BC). Body fatness conveys an increased BC risk in postmenopause but is associated with less dense breasts. Here, we studied the relationship between body fatness and breast composition within the FEDRA (Florence-EPIC Digital mammographic density and breast cancer Risk Assessment) longitudinal study. METHODS: Repeated anthropometric data and MBD parameters (obtained through an automated software on BC screening digital mammograms) were available for all participants, as well as information on other BC risk factors. Multivariate linear regression and functional data analysis were used to longitudinally evaluate the association of body fatness, and changes thereof over time, with dense (DV) and non-dense (NDV) breast volumes and volumetric percent density (VPD). RESULTS: A total of 5,262 women were included, with anthropometric data available at 20 and 40 years of age, at EPIC baseline (mean 49.0 years), and an average of 9.4 years thereafter. The mean number of mammograms per woman was 3.3 (SD 1.6). Body fatness (and increases thereof) at any age was positively associated with DV and NDV (the association being consistently stronger for the latter), and inversely associated with VPD. For instance, an increase by 1 kg/year between the age of 40 years and EPIC baseline was significantly associated with 1.97% higher DV, 8.85% higher NDV, and 5.82% lower VPD. CONCLUSION: Body fatness and its increase from young adulthood until midlife are inversely associated with volumetric percent density, but positively associated with dense and non-dense breast volumes in postmenopausal women. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13058-023-01624-5. |
format | Online Article Text |
id | pubmed-10067176 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-100671762023-04-03 Lifetime changes in body fatness and breast density in postmenopausal women: the FEDRA study Masala, Giovanna Bendinelli, Benedetta Caini, Saverio Duroni, Giacomo Ermini, Ilaria Pastore, Elisa Fontana, Miriam Facchini, Luigi Querci, Andrea Gilio, Maria Antonietta Mazzalupo, Vincenzo Assedi, Melania Ambrogetti, Daniela Palli, Domenico Breast Cancer Res Research BACKGROUND: High mammographic breast density (MBD) is an established risk factor for breast cancer (BC). Body fatness conveys an increased BC risk in postmenopause but is associated with less dense breasts. Here, we studied the relationship between body fatness and breast composition within the FEDRA (Florence-EPIC Digital mammographic density and breast cancer Risk Assessment) longitudinal study. METHODS: Repeated anthropometric data and MBD parameters (obtained through an automated software on BC screening digital mammograms) were available for all participants, as well as information on other BC risk factors. Multivariate linear regression and functional data analysis were used to longitudinally evaluate the association of body fatness, and changes thereof over time, with dense (DV) and non-dense (NDV) breast volumes and volumetric percent density (VPD). RESULTS: A total of 5,262 women were included, with anthropometric data available at 20 and 40 years of age, at EPIC baseline (mean 49.0 years), and an average of 9.4 years thereafter. The mean number of mammograms per woman was 3.3 (SD 1.6). Body fatness (and increases thereof) at any age was positively associated with DV and NDV (the association being consistently stronger for the latter), and inversely associated with VPD. For instance, an increase by 1 kg/year between the age of 40 years and EPIC baseline was significantly associated with 1.97% higher DV, 8.85% higher NDV, and 5.82% lower VPD. CONCLUSION: Body fatness and its increase from young adulthood until midlife are inversely associated with volumetric percent density, but positively associated with dense and non-dense breast volumes in postmenopausal women. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13058-023-01624-5. BioMed Central 2023-03-31 2023 /pmc/articles/PMC10067176/ /pubmed/37004102 http://dx.doi.org/10.1186/s13058-023-01624-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Masala, Giovanna Bendinelli, Benedetta Caini, Saverio Duroni, Giacomo Ermini, Ilaria Pastore, Elisa Fontana, Miriam Facchini, Luigi Querci, Andrea Gilio, Maria Antonietta Mazzalupo, Vincenzo Assedi, Melania Ambrogetti, Daniela Palli, Domenico Lifetime changes in body fatness and breast density in postmenopausal women: the FEDRA study |
title | Lifetime changes in body fatness and breast density in postmenopausal women: the FEDRA study |
title_full | Lifetime changes in body fatness and breast density in postmenopausal women: the FEDRA study |
title_fullStr | Lifetime changes in body fatness and breast density in postmenopausal women: the FEDRA study |
title_full_unstemmed | Lifetime changes in body fatness and breast density in postmenopausal women: the FEDRA study |
title_short | Lifetime changes in body fatness and breast density in postmenopausal women: the FEDRA study |
title_sort | lifetime changes in body fatness and breast density in postmenopausal women: the fedra study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10067176/ https://www.ncbi.nlm.nih.gov/pubmed/37004102 http://dx.doi.org/10.1186/s13058-023-01624-5 |
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