Institute of Health and Society, Newcastle University, Sir James Spence Institute of Child Health, Royal Victoria Infirmary, Newcastle upon Tyne NE1 4LP, UK.
Breast Cancer Res Treat. 2012 Jan;131(1):187-95. doi: 10.1007/s10549-011-1708-7. Epub 2011 Aug 11.
Dense mammographic patterns are a strong predictor of breast cancer risk. Factors at differing stages of life have been linked to breast cancer risk, although rarely studied simultaneously. We aimed to investigate whether birth weight and factors later in life were associated with mammographic density in the Newcastle Thousand Families Study. The Study originally consisted of all 1142 babies born in May and June 1947 to mothers resident in Newcastle upon Tyne in Northern England. Detailed information was collected prospectively during childhood, including birth weight and socio-economic circumstances. At age 49-51 years, 574 study members completed a 'Health and Lifestyle' questionnaire. Of the 307 surviving women who returned these questionnaires, 199 returned a further questionnaire asking for details of routine mammographic screening, their reproductive and contraceptive history. Mammographic patterns were coded into Wolfe categories. This was analysed, by ordinal logistic regression, in relation to a range of variables at different stages of life. Increased standardised birth weight (odds ratio, OR 1.32 (95% CI 1.02-1.71) P = 0.03) was a significant independent predictor of higher density. Increasing body mass index (BMI) was predictive of lower density (OR 0.86 per Kg/m(2) (95% CI 0.81-0.92) P < 0.001), as was having reached menopause (OR, compared to pre- and peri-menopausal, 0.41 (95% CI 0.23-0.73) P = 0.002). Interactions were seen between menopausal status and both BMI and age at menarche (P = 0.06) on density, although for neither did the direction of association change. After adjustment for factors acting throughout life, we identified a significant association between standardised birth weight and density in adulthood, consistent with previous research suggesting that heavier babies have an increased risk of breast cancer in later life. We also confirmed associations between both BMI and menopausal status.
致密型乳腺模式是乳腺癌风险的一个强有力预测因子。生命不同阶段的各种因素都与乳腺癌风险有关，尽管很少同时进行研究。我们旨在研究出生体重和生命后期的因素是否与纽卡斯尔千个家庭研究中的乳腺密度有关。该研究最初包括英格兰北部泰恩河畔纽卡斯尔的所有 1142 名 1947 年 5 月和 6 月出生的母亲的婴儿。在儿童时期，包括出生体重和社会经济状况在内的详细信息都进行了前瞻性收集。在 49-51 岁时，574 名研究对象完成了“健康与生活方式”问卷。在返回这些问卷的 307 名幸存女性中，有 199 名女性又返回了一份进一步的问卷，询问了常规乳房 X 光筛查、生殖和避孕史的详细信息。乳腺模式被编码为 Wolfe 分类。通过有序逻辑回归分析，将其与生命不同阶段的一系列变量相关联。标准化出生体重增加（优势比，OR 1.32（95%CI 1.02-1.71）P = 0.03）是密度更高的独立显著预测因子。体重指数（BMI）增加预示着密度降低（OR 每增加 1kg/m2 为 0.86（95%CI 0.81-0.92）P < 0.001），绝经（与绝经前和围绝经期相比，OR 为 0.41（95%CI 0.23-0.73）P = 0.002）也是如此。绝经状态与 BMI 和初潮年龄之间存在密度的相互作用（P = 0.06），尽管在这两个方面，关联的方向都没有改变。在对一生中所有因素进行调整后，我们发现标准化出生体重与成年后密度之间存在显著关联，这与先前的研究一致，即体重较重的婴儿在以后的生活中患乳腺癌的风险增加。我们还证实了 BMI 和绝经状态之间的关联。
