The impact of reproductive factors on breast cancer risk - The feasibility of using Swedish population-based registers to account for the effect of confounding in cohort studies

2005 ◽  
Vol 16 (3) ◽  
pp. 235-243 ◽  
Author(s):  
Erik Holmberg ◽  
Harald Anderson ◽  
Marie Lundell ◽  
Per Karlsson
2014 ◽  
Vol 25 (2) ◽  
pp. 519-524 ◽  
Author(s):  
K. Wada ◽  
C. Nagata ◽  
A. Tamakoshi ◽  
K. Matsuo ◽  
I. Oze ◽  
...  

2020 ◽  
Vol 28 (2) ◽  
pp. 29-34
Author(s):  
Laura Steponavičienė ◽  
Rasa Vansevičiūtė ◽  
Lina Zabulienė ◽  
Domantas Jasilionis ◽  
Vincas Urbonas ◽  
...  

 Background. Although the relationship between reproductive factors and breast cancer is internationally proved, reliable data on former USSR countries are scarce. This study examines the association of parity, age at the first childbirth, number of children, and breast cancer risk in Lithuanian women.Methods. The study that included women from 40 to 79 years old was based on a dataset that was made up linking all records from the 2001 census, all cancer incidence records from the Lithuanian Cancer Registry and all death records from Statistics Lithuania between 6th April 2001 and 31st December 2009. Cox’s proportional hazards regression models were used to estimate the hazard ratios (HRs) for parity, age at the first childbirth, and number of children.Results. If compared to nulliparous women, parous women had a lower risk of breast cancer (HR=0.84, 95% CI 0.78–0.89) and this risk further decreased with an increasing number of children. Women who gave birth after the age of 25 had a significantly higher risk of breast cancer. This disadvantage became statistically insignificant or decreased after controlling for total number of children.Conclusions. Parity and age at the first childbirth are strong predictors of breast cancer risk among Lithuanian women.


2018 ◽  
Vol 92 ◽  
pp. S30
Author(s):  
L. Steponavičiene ◽  
R. Vanseviciute ◽  
L. Zabuliene ◽  
D. Jasilionis ◽  
G. Smailyte

2022 ◽  
Vol 24 (1) ◽  
Author(s):  
Sarah Pirikahu ◽  
Helen Lund ◽  
Gemma Cadby ◽  
Elizabeth Wylie ◽  
Jennifer Stone

Abstract Background High participation in mammographic screening is essential for its effectiveness to detect breast cancers early and thereby, improve breast cancer outcomes. Breast density is a strong predictor of breast cancer risk and significantly reduces the sensitivity of mammography to detect the disease. There are increasing mandates for routine breast density notification within mammographic screening programs. It is unknown if breast density notification impacts the likelihood of women returning to screening when next due (i.e. rescreening rates). This study investigates the association between breast density notification and rescreening rates using individual-level data from BreastScreen Western Australia (WA), a population-based mammographic screening program. Methods We examined 981,705 screening events from 311,656 women aged 40+ who attended BreastScreen WA between 2008 and 2017. Mixed effect logistic regression was used to investigate the association between rescreening and breast density notification status. Results Results were stratified by age (younger, targeted, older) and screening round (first, second, third+). Targeted women screening for the first time were more likely to return to screening if notified as having dense breasts (Percentunadjusted notified vs. not-notified: 57.8% vs. 56.1%; Padjusted = 0.016). Younger women were less likely to rescreen if notified, regardless of screening round (all P < 0.001). There was no association between notification and rescreening in older women (all P > 0.72). Conclusions Breast density notification does not deter women in the targeted age range from rescreening but could potentially deter younger women from rescreening. These results suggest that all breast density notification messaging should include information regarding the importance of regular mammographic screening to manage breast cancer risk, particularly for younger women. These results will directly inform BreastScreen programs in Australia as well as other population-based screening providers outside Australia who notify women about breast density or are considering implementing breast density notification.


Author(s):  
Madoka Iwase ◽  
Keitaro Matsuo ◽  
Yuriko N. Y. Koyanagi ◽  
Hidemi Ito ◽  
Akiko Tamakoshi ◽  
...  

2002 ◽  
Vol 22 (4) ◽  
pp. 285-297 ◽  
Author(s):  
Val�rie Chaudru ◽  
Amelia Laing ◽  
Georgia M. Dunston ◽  
Lucile L. Adams-Campbell ◽  
Rosemary Williams ◽  
...  

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