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Reproductive Factors and Mammographic Density Within the International Consortium of Mammographic Density: A Cross-Sectional Study Publisher Pubmed



Odriscoll J1 ; Burton A2, 3 ; Maskarinec G4 ; Perezgomez B5, 6 ; Vachon C7 ; Miao H8 ; Lajous M9 ; Lopezridaura R9 ; Eliassen AH10, 11 ; Pereira A12 ; Garmendia ML12 ; Tamimi RM13 ; Bertrand K14 ; Kwong A15, 16, 17 Show All Authors
Authors
  1. Odriscoll J1
  2. Burton A2, 3
  3. Maskarinec G4
  4. Perezgomez B5, 6
  5. Vachon C7
  6. Miao H8
  7. Lajous M9
  8. Lopezridaura R9
  9. Eliassen AH10, 11
  10. Pereira A12
  11. Garmendia ML12
  12. Tamimi RM13
  13. Bertrand K14
  14. Kwong A15, 16, 17
  15. Ursin G18, 19, 20
  16. Lee E20
  17. Qureshi SA21
  18. Ma H23
  19. Vinnicombe S24
  20. Moss S25
  21. Allen S26
  22. Ndumia R27
  23. Vinayak S27
  24. Teo SH28, 29
  25. Mariapun S29
  26. Fadzli F30, 31
  27. Peplonska B32
  28. Nagata C33
  29. Stone J35
  30. Hopper JL36
  31. Giles G36, 37
  32. Ozmen V38
  33. Aribal ME39
  34. Schuz J3
  35. Van Gils CH40
  36. Wanders JOP40
  37. Sirous R41, 42
  38. Sirous M43
  39. Hipwell J44
  40. Kim J45
  41. Lee JW45
  42. Hartman M8, 46, 47
  43. Li J46, 48
  44. Scott C7
  45. Chiarelli AM49
  46. Linton L50
  47. Pollan M5, 6
  48. Flugelman AA51, 52
  49. Salem D53
  50. Kamal R53
  51. Boyd N50
  52. Dossantossilva I53, 54
  53. Mccormack V3
  54. Mullooly M1
Show Affiliations
Authors Affiliations
  1. 1. School of Population Health, RCSI University of Medicine and Health Sciences, Beaux Lane House, Mercer Street Lower, Dublin 2, Ireland
  2. 2. Bristol Medical School, Translational Health Sciences, University of Bristol, Learning and Research Building, Level 2, Southmead Hospital, Bristol, United Kingdom
  3. 3. Environment and Lifestyle Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
  4. 4. University of Hawaii Cancer Center, Honolulu, HI, United States
  5. 5. Instituto de Salud Carlos III, Madrid, Spain
  6. 6. CIBERESP, Madrid, Spain
  7. 7. Department of Quantitative Health Sciences, Division of Epidemiology, Mayo Clinic, Rochester, MN, United States
  8. 8. Saw Swee Hock School of Public Health, National University of Singapore, Singapore City, Singapore
  9. 9. Instituto Nacional de Salud Publica, Cuernavaca, Mexico
  10. 10. Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, United States
  11. 11. Departments of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States
  12. 12. Instituto de Nutricion y Tecnologia de los Alimentos, Universidad de Chile, Santiago, Chile
  13. 13. Population Health Sciences, Weill Cornell Medicine, New York, NY, United States
  14. 14. Slone Epidemiology Center, Boston University, Boston, MA, United States
  15. 15. Division of Breast Surgery, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong
  16. 16. Department of Surgery and Cancer Genetics Center, Hong Kong Sanatorium and Hospital, Hong Kong
  17. 17. Hong Kong Hereditary Breast Cancer Family Registry, Hong Kong
  18. 18. Cancer Registry of Norway, Norwegian Institute of Public Health, Oslo, Norway
  19. 19. Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
  20. 20. Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, United States
  21. 21. Unit for Migration & amp
  22. 22. Health, Norwegian Institute of Public Health, Oslo, Norway
  23. 23. Department of Computational and Quantitative Medicine, City of Hope National Medical Center, Duarte, CA, United States
  24. 24. Division of Cancer Research, Ninewells Hospital and Medical School, Dundee, United Kingdom
  25. 25. Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, United Kingdom
  26. 26. Department of Diagnostic Radiology, Royal Marsden NHS Foundation Trust, London, United Kingdom
  27. 27. Aga Khan University Hospital, Nairobi, Kenya
  28. 28. Breast Cancer Research Group, University of Malaya Medical Centre, University of Malaya, Kuala Lumpur, Malaysia
  29. 29. Cancer Research Malaysia, Subang Jaya, Malaysia
  30. 30. Breast Cancer Research Unit, Faculty of Medicine, University of Malaya Cancer Research Institute, University of Malaya, Kuala Lumpur, Malaysia
  31. 31. Biomedical Imaging Department, University of Malaya Medical Centre, University of Malaya, Kuala Lumpur, Malaysia
  32. 32. Department of Environmental Epidemiology, Nofer Institute of Occupational Medicine, Lodz, Poland
  33. 33. Department of Epidemiology & amp
  34. 34. Preventive Medicine, Graduate School of Medicine, Gifu University, Gifu, Japan
  35. 35. Genetic Epidemiology Group, School of Population and Global Health, University of Western Australia, Perth, WA, Australia
  36. 36. Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
  37. 37. Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, VIC, Australia
  38. 38. Faculty of Medicine, Istanbul University, Istanbul, Turkey
  39. 39. Department of Radiology, School of Medicine, Acibadem University, Istanbul, Turkey
  40. 40. Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands
  41. 41. Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, United States
  42. 42. Radiology Department, George Washington University Hospital, Washington, DC, United States
  43. 43. Radiology Department, Isfahan University of Medical Sciences, Isfahan, Iran
  44. 44. Centre for Medical Image Computing, University College London, London, United Kingdom
  45. 45. Asan Medical Center, Seoul, South Korea
  46. 46. Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore City, Singapore
  47. 47. Department of Surgery, University Surgical Cluster, National University Hospital, Singapore City, Singapore
  48. 48. Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore City, Singapore
  49. 49. Ontario Breast Screening Program, Cancer Care Ontario, Toronto, ON, Canada
  50. 50. Princess Margaret Cancer Centre, Toronto, ON, Canada
  51. 51. The Rapport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
  52. 52. Samuel Neaman Institute for National Policy Research, Technion-Israel Institute of Technology, Haifa, Israel
  53. 53. Woman Imaging Unit, Radiodiagnosis Department, Kasr El Aini, Cairo University Hospitals, Cairo, Egypt
  54. 54. Department of Non-Communicable Disease Epidemiology, London School of Hygiene & amp
  55. 55. Tropical Medicine, London, United Kingdom

Source: Breast Cancer Research Published:2024


Abstract

Background: Elevated mammographic density (MD) for a woman’s age and body mass index (BMI) is an established breast cancer risk factor. The relationship of parity, age at first birth, and breastfeeding with MD is less clear. We examined the associations of these factors with MD within the International Consortium of Mammographic Density (ICMD). Methods: ICMD is a consortium of 27 studies with pooled individual-level epidemiological and MD data from 11,755 women without breast cancer aged 35–85 years from 22 countries, capturing 40 country-& ethnicity-specific population groups. MD was measured using the area-based tool Cumulus. Meta-analyses across population groups and pooled analyses were used to examine linear regression associations of square-root (√) transformed MD measures (percent MD (PMD), dense area (DA), and non-dense area (NDA)) with parity, age at first birth, ever/never breastfed and lifetime breastfeeding duration. Models were adjusted for age at mammogram, age at menarche, BMI, menopausal status, use of hormone replacement therapy, calibration method, mammogram view and reader, and parity and age at first birth when not the association of interest. Results: Among 10,988 women included in these analyses, 90.1% (n = 9,895) were parous, of whom 13% (n = 1,286) had ≥ five births. The mean age at first birth was 24.3 years (Standard deviation = 5.1). Increasing parity (per birth) was inversely associated with √PMD (β: − 0.05, 95% confidence interval (CI): − 0.07, − 0.03) and √DA (β: − 0.08, 95% CI: − 0.12, − 0.05) with this trend evident until at least nine births. Women who were older at first birth (per five-year increase) had higher √PMD (β:0.06, 95% CI:0.03, 0.10) and √DA (β:0.06, 95% CI:0.02, 0.10), and lower √NDA (β: − 0.06, 95% CI: − 0.11, − 0.01). In stratified analyses, this association was only evident in women who were post-menopausal at MD assessment. Among parous women, no associations were found between ever/never breastfed or lifetime breastfeeding duration (per six-month increase) and √MD. Conclusions: Associations with higher parity and older age at first birth with √MD were consistent with the direction of their respective associations with breast cancer risk. Further research is needed to understand reproductive factor-related differences in the composition of breast tissue and their associations with breast cancer risk. © The Author(s) 2024.
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