Holmberg Erik, Anderson Harald, Lundell Marie, Karlsson Per
Oncological Centre, Sahlgrenska University Hospital, Göteborg, Sweden.
Cancer Causes Control. 2005 Apr;16(3):235-43. doi: 10.1007/s10552-004-3363-3.
The aim of this study was to analyze the impact of reproductive factors on breast cancer risk among Swedish women by using nationwide population registers.
A cohort including all Swedish women born between 1920 and 1959 was followed up to 1997 by record linkage to different population-based registers. More than 4 million children were linked to the women in the cohort and 60,328 women were diagnosed with breast cancer. Poisson regression was used to model the breast cancer incidence by risk groups. In a sub-cohort of 18,164 women irradiated for skin hemangioma in infancy, the breast cancer risk was analyzed in relation to radiation dose and accounting for reproductive factors.
The relative breast cancer risk (RR) for the reproductive factors was 0.35 [ 95% confidence interval (CI) 0.30--0.42] for women with 6 or more children and the first child before the age of 20 years, and RR was 1.11 (95% CI 1.06--1.18) for uniparous women with the first child at age 35 years or older, compared to nulliparous women. The discrepancies of reproductive factors in the hemangioma cohort compared to Swedish women had a minor effect on RR, with a reduction from 1.13 (95%CI 1.00--1.26) to 1.11 (95% CI 0.99--1.25).
This study shows the feasibility of using population-based registers to retrieve reliable information on reproductive factors to eliminate its confounding effect when analyzing other risk factors.
本研究旨在通过全国人口登记册分析生育因素对瑞典女性患乳腺癌风险的影响。
对1920年至1959年间出生的所有瑞典女性组成的队列进行随访,直至1997年,通过与不同的基于人群的登记册进行记录链接。该队列中有超过400万儿童与这些女性相关联,60328名女性被诊断出患有乳腺癌。采用泊松回归模型按风险组对乳腺癌发病率进行建模。在一个由18164名婴儿期因皮肤血管瘤接受过放射治疗的女性组成的亚队列中,分析了乳腺癌风险与辐射剂量的关系,并考虑了生育因素。
与未生育女性相比,生育6个或更多子女且第一个子女在20岁之前出生的女性,其生育因素导致的相对乳腺癌风险(RR)为0.35[95%置信区间(CI)0.30 - 0.42];而第一个子女在35岁及以上出生的未生育女性的RR为1.11(95%CI 1.06 - 1.18)。血管瘤队列中生育因素与瑞典女性的差异对RR的影响较小,RR从1.13(95%CI 1.00 - 1.26)降至1.11(95%CI 0.99 - 1.25)。
本研究表明,在分析其他风险因素时,利用基于人群的登记册获取生育因素的可靠信息以消除其混杂效应是可行的。