HORMONES, LIFESTYLE, AND BREAST CANCER

描述：（改编自研究者摘要）研究者 建议继续他们基于人群的病例对照研究联盟 研究：1）调查绝经后激素 治疗和乳腺癌死亡率之间的关系，以及2）评估 某些生活方式因素，包括体重变化，体育活动， 终止妊娠和乳腺癌发病率。 几项研究 表明在2000年使用雌激素制剂的妇女的生存率提高了10%。 乳腺癌的诊断时间。 研究人员将评估 绝经后激素治疗与乳腺癌死亡率之间的关系， 通过国家生命记录和国家死亡指数， 在我们之前和正在进行的乳腺癌合作中招募的病例 在威斯康星州、马萨诸塞州和新罕布什尔州的研究（1988 - 95）。 的 近13,000例登记，他们估计，至少有2600人死亡， 会发生在绝经后的女性身上。 这样，他们将有充足的 评价绝经后激素治疗效果的能力， 评估与酒精使用和肥胖的潜在相互作用， 影响内源性激素水平。 此外， 广泛的调查表信息将有助于探讨 包括吸烟和饮食因素在内的其他暴露对乳腺癌的影响 癌症死亡率 为了实现他们的第二个目标，他们将招募9000名乳腺癌患者， 在我们的研究中，20 - 69岁的癌症病例和相当数量的对照组， 在三年的时间里，各个国家。 案件将通过以下方式确定： 州肿瘤登记处，并通过州驾驶执照列表进行控制， 医疗保险受益人名单 需要大样本量进行评估 研究假设，因为感兴趣的关联是适度的， 不经常接触，例如，特定年龄的体重增加和诱导 在足月妊娠前堕胎。 调查人员说， 建议的研究，根据一个有效的，完善的机制， 选择和采访病例和对照，并分析现有的 数千名乳腺癌妇女的人口数据将提供 及时提供关于可能改变的生活方式决定因素的新信息， 乳腺癌的发病率和生存率，在一个高度成本效益的方式。

DESCRIPTION: (Adapted from Investigator's Abstract) The investigators propose to continue their consortium of population-based case-control studies to 1) investigate the relation between postmenopausal hormone therapy and breast cancer mortality, and 2) evaluate the relation between certain lifestyle factors, including weight change, physical activity, pregnancy termination, and breast cancer incidence. Several studies have suggested improved survival among women using estrogen preparations at the time of breast cancer diagnosis. The investigators will evaluate the relation between postmenopausal hormone therapy and breast cancer mortality, ascertained though state vital records and the National Death Index, among cases enrolled in our previous and ongoing collaborative breast cancer studies in Wisconsin, Massachusetts, and New Hampshire (1988-95). Of the nearly 13,000 cases enrolled, they estimate that a minimum of 2600 deaths will have occurred in postmenopausal women. Thus, they will have ample power to evaluate the effects of postmenopausal hormone therapy, and to assess potential interactions with alcohol use and obesity, which may influence endogenous hormone levels. In addition, the availability of extensive questionnaire information will allow exploration of the possible effects of other exposures, including smoking and dietary factors, on breast cancer mortality. To meet their second aim, they will enroll 9000 breast cancer cases aged 20-69 and a comparable number of controls in our respective states over a 3-year period. Cases will be identified through state tumor registries, and controls through state drivers license lists and Medicare beneficiary lists. The large sample size is necessary to evaluate study hypotheses since the associations of interest are modest and patterns of exposure infrequent, e.g., weight gain at specific ages and induced abortions prior to full term pregnancies. The investigators state that the proposed studies, based on an efficient, well-established mechanism for selecting and interviewing cases and controls, and analysis of existing population-based data on thousands of women with breast cancer, will provide timely new information on potentially modifiable lifestyle determinants of breast cancer incidence and survival, in a highly cost-effective manner.