Sung Joohon, Song Yun-Mi
aDepartment of Epidemiology, School of Public Health bInstitute of Health Environment, Seoul National University cDepartment of Family Medicine, Samsung Medical Center and Center for Clinical Research, Samsung Biomedical Research Institute, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Eur J Cancer Prev. 2015 Nov;24(6):491-6. doi: 10.1097/CEJ.0000000000000120.
To further understand the factors that contribute to interindividual variation in mammographic density, we evaluated the relationship between education level and each component of the mammographic density measures. Study participants included 535 women between 40 and 65 years of age who received a mammogram for a population-based twin and family study. Mammographic density was measured from digital mammograms using a computer-assisted thresholding method. To avoid negative confounding by obesity level, we calculated BMI-adjusted mammographic measures. Thereafter, each of the mammographic density measures was t-transformed using its mean value and SD for each age strata. The level of education was chosen as a marker representing socioeconomic status at the individual level. A linear mixed model considering familial correlations was used for analyses. In the unadjusted analysis for all women, the BMI-adjusted nondense area gradually decreased with an increase in education level (P for trend=0.017). This association persisted after adjusting for menstrual and reproductive factors. When we repeated the analysis according to menopausal status, an inverse association between education level and nondense area was evident in premenopausal women, whereas the inverse association attenuated to a statistically insignificant level after adjusting for menstrual and reproductive factors in postmenopausal women. Absolute dense area and percentage dense area were not associated with education level. The significant association between nondense area and education level after eliminating the effect of age and BMI suggests that socioeconomic factors may have an influential role in determining the amount of fat tissue in the breast.
为了进一步了解导致乳房X线密度个体差异的因素,我们评估了教育水平与乳房X线密度测量各组成部分之间的关系。研究参与者包括535名年龄在40至65岁之间的女性,她们因一项基于人群的双胞胎和家庭研究接受了乳房X光检查。使用计算机辅助阈值法从数字化乳房X光片中测量乳房X线密度。为避免肥胖水平产生负面混杂影响,我们计算了经体重指数(BMI)调整的乳房X线测量值。此后,对每个年龄层的乳房X线密度测量值,使用其均值和标准差进行t变换。教育水平被选作代表个体层面社会经济地位的一个指标。分析采用考虑家族相关性的线性混合模型。在对所有女性的未调整分析中,经BMI调整的非致密区随着教育水平的提高而逐渐减小(趋势P值 = 0.017)。在对月经和生殖因素进行调整后,这种关联依然存在。当我们根据绝经状态重复分析时,绝经前女性中教育水平与非致密区之间存在负相关,而在绝经后女性中,在对月经和生殖因素进行调整后,这种负相关减弱至统计学上不显著的水平。绝对致密区和致密区百分比与教育水平无关。在消除年龄和BMI的影响后,非致密区与教育水平之间的显著关联表明,社会经济因素可能在决定乳房脂肪组织量方面具有重要作用。