Mammographic Screening and Risk Factors for Breast Cancer

被引:51
|
作者
Cook, Nancy R. [1 ,2 ,4 ]
Rosner, Bernard A. [2 ,3 ,5 ]
Hankinson, Susan E. [2 ,3 ,4 ]
Colditz, Graham A. [4 ,6 ]
机构
[1] Brigham & Womens Hosp, Div Prevent Med, Dept Med, Boston, MA 02215 USA
[2] Harvard Univ, Sch Med, Boston, MA USA
[3] Brigham & Womens Hosp, Channing Lab, Dept Med, Boston, MA 02215 USA
[4] Harvard Univ, Sch Publ Hlth, Dept Epidemiol, Boston, MA 02115 USA
[5] Harvard Univ, Sch Publ Hlth, Dept Biostat, Boston, MA 02115 USA
[6] Washington Univ, Sch Med, St Louis, MO USA
关键词
breast neoplasms; hormone replacement therapy; mammography; mass screening; probability weighting; risk factors; RANDOMIZED CONTROLLED-TRIAL; ESTROGEN PLUS PROGESTIN; POSTMENOPAUSAL WOMEN; REPLACEMENT THERAPY; HEALTH; MODEL; EPIDEMIOLOGY; MORTALITY; BENEFITS; RACE;
D O I
10.1093/aje/kwp304
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Screening mammography can distort estimated effects in breast cancer risk models due to associations with other risk factors. Mammography information was available in the Nurses' Health Study from 1988, and 1,815 incident breast cancers were accrued through 2000 among 55,625 women with risk factor data. Logistic models were fit for screening mammography, and inverse probability weighting was used to adjust parameters in an established breast cancer risk model. Approximately 80% of women in each 2-year follow-up period had screening mammograms, which were positively associated with history of benign breast disease, family history of breast cancer, hormone therapy, alcohol use, physical activity, multivitamins, and calcium supplements, and negatively associated with postmenopause, current smoking, and body mass index. Markers of medical attention, including hypertension, high cholesterol, and osteoarthritis, were positively associated, while cardiovascular disease was negative. Inverse probability weighting led to small changes in effects of benign breast disease, family history, and hormone therapy. An apparent reduced risk associated with current smoking in unadjusted models was eliminated after weighting. Thus, several risk factors for breast cancer and cancer diagnosis are associated with mammographic screening. Adjustment for screening had some impact on breast cancer prediction in this cohort, especially for hormone therapy and smoking.
引用
收藏
页码:1422 / 1432
页数:11
相关论文
共 50 条
  • [1] Mammographic Density and Screening Sensitivity, Breast Cancer Incidence and Associated Risk Factors in Danish Breast Cancer Screening
    Lynge, Elsebeth
    Vejborg, Ilse
    Andersen, Zorana
    von Euler-Chelpin, My
    Napolitano, George
    JOURNAL OF CLINICAL MEDICINE, 2019, 8 (11)
  • [3] BREAST-CANCER RISK AND PARTICIPATION IN MAMMOGRAPHIC SCREENING
    TAPLIN, S
    ANDERMAN, C
    GROTHAUS, L
    AMERICAN JOURNAL OF PUBLIC HEALTH, 1989, 79 (11) : 1494 - 1498
  • [4] Effects of mammographic screening on breast cancer risk prediction
    Cook, N.
    Rosner, B.
    Hankinson, S.
    Colditz, G.
    AMERICAN JOURNAL OF EPIDEMIOLOGY, 2008, 167 (11) : S108 - S108
  • [5] Mammographic Breast Density: Impact on Breast Cancer Risk and Implications for Screening
    Freer, Phoebe E.
    RADIOGRAPHICS, 2015, 35 (02) : 302 - 315
  • [6] Mammographic screening for breast cancer
    Fletcher, SW
    Elmore, JG
    NEW ENGLAND JOURNAL OF MEDICINE, 2003, 348 (17): : 1672 - 1680
  • [7] Mammographic screening for breast cancer
    Fishbein, MJ
    NEW ENGLAND JOURNAL OF MEDICINE, 2003, 349 (06): : 610 - 610
  • [8] MAMMOGRAPHIC SCREENING OF WOMEN WITH INCREASED RISK OF BREAST-CANCER
    VOGEL, VG
    GRAVES, DS
    VERNON, SW
    LORD, JA
    WINN, RJ
    PETERS, GN
    CANCER, 1990, 66 (07) : 1613 - 1620
  • [9] Volumetric Mammographic Density, Age-Related Decline, and Breast Cancer Risk Factors in a National Breast Cancer Screening Program
    Hjerkind, Kirsti Vik
    Ellingjord-Dale, Merete
    Johansson, Anna L. V.
    Aase, Hildegunn Siv
    Hoff, Solveig Roth
    Hofvind, Solveig
    Fagerheim, Siri
    dos-Santos-Silva, Isabel
    Ursin, Giske
    CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION, 2018, 27 (09) : 1065 - 1074