Associations of Mammographic Dense and Nondense Areas and Body Mass Index With Risk of Breast Cancer

被引:53
|
作者
Baglietto, Laura [1 ,2 ]
Krishnan, Kavitha [1 ,2 ]
Stone, Jennifer [2 ,3 ]
Apicella, Carmel [2 ]
Southey, Melissa C. [1 ,4 ]
English, Dallas R. [1 ,2 ]
Hopper, John L. [2 ,5 ]
Giles, Graham G. [1 ,2 ,6 ]
机构
[1] Canc Council Victoria, Canc Epidemiol Ctr, Melbourne, Vic, Australia
[2] Univ Melbourne, Sch Populat & Global Hlth, Ctr Mol Environm Genet & Analyt Epidemiol, Melbourne, Vic, Australia
[3] Univ Western Australia, Ctr Genet Origins Hlth & Dis, Perth, WA 6009, Australia
[4] Univ Melbourne, Dept Pathol, Genet Epidemiol Lab, Melbourne, Vic, Australia
[5] Seoul Natl Univ, Seoul, South Korea
[6] Monash Univ, Dept Epidemiol & Prevent Med, Melbourne, Vic 3004, Australia
基金
英国医学研究理事会;
关键词
breast neoplasms; mammographic density; prospective studies; risk; PHYSICAL-ACTIVITY; SUBSEQUENT RISK; PERCENTAGE; CHILDHOOD; SIZE;
D O I
10.1093/aje/kwt260
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Mammographic density measurements are associated with risk of breast cancer. Few studies have investigated the concurrent associations of mammographic dense and nondense areas, body mass index (weight (kg)/height (m)(2)), and ages at mammogram and diagnosis with breast cancer risk. We conducted a matched, case-control study nested within the Melbourne Collaborative Cohort Study (cohort recruitment in 19901994 and follow-up until 2007) to estimate the associations between these factors and breast cancer risk under alternative causal models. Mammographic dense area was positively associated with risk, and the strength of this association was only slightly influenced by the choice of the causal model (relative risk per 1 standard deviation 1.50, 95 confidence interval: 1.32, 1.70). Mammographic nondense area was inversely associated with risk under the assumption that fat in the body and fat in the breast cause breast cancer through independent mechanisms (relative risk per 1 standard deviation 0.75, 95 confidence interval: 0.65, 0.86), whereas it was not associated with risk under the assumption that they are both proxies of adiposity. Knowledge about the biological mechanisms regulating the role played by mammographic nondense area and body fat on breast cancer risk is essential to better estimate their impacts on individual risk.
引用
收藏
页码:475 / 483
页数:9
相关论文
共 50 条
  • [21] Body mass index and breast cancer risk in African American women
    Zhu, KM
    Caulfield, J
    Hunter, S
    Roland, CL
    Payne-Wilks, K
    Texter, L
    ANNALS OF EPIDEMIOLOGY, 2005, 15 (02) : 123 - 128
  • [22] Percent Mammographic Density and Dense Area as Risk Factors for Breast Cancer
    Rauh, C.
    Hack, C. C.
    Haberle, L.
    Hein, A.
    Engel, A.
    Schrauder, M. G.
    Fasching, P. A.
    Jud, S. M.
    Ekici, A. B.
    Loehberg, C. R.
    Meier-Meitinger, M.
    Ozan, S.
    Schulz-Wendtland, R.
    Uder, M.
    Hartmann, A.
    Wachter, D. L.
    Beckmann, M. W.
    Heusinger, K.
    GEBURTSHILFE UND FRAUENHEILKUNDE, 2012, 72 (08) : 727 - 733
  • [23] Associations of Body Mass Index and Physical Activity With Sexual Dysfunction in Breast Cancer Survivors
    Paiva, Carlos Eduardo
    Rezende, Fabiana Faria
    Ribeiro Paiva, Bianca Sakamoto
    Mauad, Edmundo Carvalho
    Zucca-Matthes, Gustavo
    Carneseca, Estela Cristina
    Syrjanen, Kari Juhani
    Schover, Leslie R.
    ARCHIVES OF SEXUAL BEHAVIOR, 2016, 45 (08) : 2057 - 2068
  • [24] Associations of Body Mass Index and Physical Activity With Sexual Dysfunction in Breast Cancer Survivors
    Carlos Eduardo Paiva
    Fabiana Faria Rezende
    Bianca Sakamoto Ribeiro Paiva
    Edmundo Carvalho Mauad
    Gustavo Zucca-Matthes
    Estela Cristina Carneseca
    Kari Juhani Syrjänen
    Leslie R. Schover
    Archives of Sexual Behavior, 2016, 45 : 2057 - 2068
  • [25] The associations between body mass index and breast cancer intrinsic subtypes in Japanese women
    Kimura, K.
    Tanaka, S.
    Iwamoto, M.
    Uchiyama, K.
    CANCER RESEARCH, 2012, 72
  • [26] Combined effect of volumetric breast density and body mass index on breast cancer risk
    Engmann, Natalie J.
    Scott, Christopher G.
    Jensen, Matthew R.
    Winham, Stacey
    Miglioretti, Diana L.
    Ma, Lin
    Brandt, Kathleen
    Mahmoudzadeh, Amir
    Whaley, Dana H.
    Hruska, Carrie
    Wu, Fang
    Norman, Aaron D.
    Hiatt, Robert A.
    Heine, John
    Shepherd, John
    Pankratz, V. Shane
    Vachon, Celine M.
    Kerlikowske, Karla
    BREAST CANCER RESEARCH AND TREATMENT, 2019, 177 (01) : 165 - 173
  • [27] Combined effect of volumetric breast density and body mass index on breast cancer risk
    Natalie J. Engmann
    Christopher G. Scott
    Matthew R. Jensen
    Stacey Winham
    Diana L. Miglioretti
    Lin Ma
    Kathleen Brandt
    Amir Mahmoudzadeh
    Dana H. Whaley
    Carrie Hruska
    Fang Wu
    Aaron D. Norman
    Robert A. Hiatt
    John Heine
    John Shepherd
    V. Shane Pankratz
    Celine M. Vachon
    Karla Kerlikowske
    Breast Cancer Research and Treatment, 2019, 177 : 165 - 173
  • [28] Using mammographic density to predict breast cancer risk: dense area or percentage dense area
    Stone, Jennifer
    Ding, Jane
    Warren, Ruth M. L.
    Duffy, Stephen W.
    Hopper, John L.
    BREAST CANCER RESEARCH, 2010, 12 (06)
  • [29] Using mammographic density to predict breast cancer risk: dense area or percentage dense area
    Jennifer Stone
    Jane Ding
    Ruth ML Warren
    Stephen W Duffy
    John L Hopper
    Breast Cancer Research, 12
  • [30] Breast Cancer Risk Associations with Digital Mammographic Density by Pixel Brightness Threshold and Mammographic System
    Nguyen, Tuong L.
    Choi, Yoon-Ho
    Aung, Ye K.
    Evans, Christopher F.
    Trinh, Nhut H.
    Li, Shuai
    Dite, Gillian S.
    Kim, Myeong-Seong
    Brennan, Patrick C.
    Jenkins, Mark A.
    Sung, Joohon
    Song, Yun-Mi
    Hopper, John L.
    RADIOLOGY, 2018, 286 (02) : 433 - 442