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Breast cancer and ages at first marriage and first birth: a new hypothesis

机译:乳腺癌和年龄在第一次婚姻和第一次出生时:一个新的假设

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摘要

The aim of this study was to examine available data on breast cancer and age at first marriage from a new perspective: that is, marriage involves the closest contact and contact effects are relevant to the question of infection, a possibility long considered in this disorder. The large Seven Country Study, carried out in 1964-1968, investigated age at first marriage; its reports were examined carefully for details of possible relevance. Intriguing gaps were noted in the grounds for the conclusion by this study that late age at first birth explained an earlier reported association with late age at marriage, with risks presented by age at first marriage for nulliparous, but not for parous, married women. Only in one centre, Glamorgan Wales, and only for two age groups could risks by combined ages at first marriage and first birth be derived. When both events occurred at age 30 or older, the risk estimate was 7.0 (95% confidence interval: 5.2, 9.1) relative to when both events occurred younger than age 20, whereas the corresponding risk was 1.4 (95% confidence interval: 1.1, 1.8) when age at first birth was 30 or older but marriage was younger than age 30. The above findings are consistent with an effect of age at first marriage, and a basis in contacts or infection is considered plausible. However, other explanations may exist, and this report primarily aims to encourage examination of the subject in other datasets, particularly where intersexual contrasts in infective exposures have probably existed.
机译:本研究的目的是从新的角度来检查乳腺癌和年龄的可用数据:即,婚姻涉及最近的接触和接触效果与感染问题有关,这种疾病中的可能性很长。大型七个国家研究,于1964年至1968年进行,第一次婚姻调查年龄;其报告被仔细检查了可能的相关性。在此研究的基础上指出了有趣的差距,即第一次出生的深夜解释了早期报告的与婚姻的晚年联合会,在第一次婚姻中提出的风险,但不适合已婚妇女。只有在一个中心,Glamorgan威尔士,只有两个年龄组可能在第一次婚姻和第一次出生时通过合并年龄来风险。当两个事件发生在30岁或以上时,风险估计相对于20岁的事件发生在20岁以下的情况时,风险估计为7.0(95%置信区间:5.2,9.1),而相应的风险为1.4(95%置信区间:1.1, 1.8)当第一次出生的年龄为30岁或以上但婚姻比30岁年龄小。上述研究结果与第一次婚姻的年龄效果一致,接触或感染的基础被认为是合理的。然而,可能存在其他解释,并且本报告主要旨在促进其他数据集中的主题,特别是在感染暴露中的差异对比可能存在。

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