女性乳腺癌危险因素的多因素分析

A multiple variable analysis about the risk factors ofbreast cancer in women

应用１１配比病例对照研究方法，对１４６例女性乳腺癌患者及１４６例配对对照的危险因素进行了调查，并应用Ｌｏｇｉｓｔｉｃ回归分析和主成分分析方法进行了综合探讨。结果：Ｌｏｇｉｓｔｉｃ回归分析建立了一个包括５个自变量的Ｌｏｇｉｓｔｉｃ回归方程，主成分分析从２２个乳腺癌危险因素中提取了１０个主成分，其方差累积贡献率达６４．８％。提示：职业为干部、初产年龄晚、常吃香肠和腊肉、结婚年龄晚、被动吸烟时间长、既往有乳腺良性肿瘤史、有乳腺炎史及有乳腺肿瘤家族史等，为乳腺癌发病的主要危险因素；而生育胎数多、哺乳时间长、经常服用维生素类药物和蔬菜摄入量多等。

A comprehensive investigation to the risk factors of breast cancer was carried out in 146 pairs of women subjects, with the method of 1∶1 matched casecontrol study, and of logistic regression analysis and principal component analysis. As a result, a regression equation which includes 5 independent variables has been established by logistic regression analysis; Ten principal components were extracted from 22 risk factors of breast cancer through principal component anlysis, and the cumulative contribution of variances of the 10 principal components is 64.8%. The result combining the monofactor analysis and the multiple variables analysis indicated that the principal risk factors of breast cancer are cadre occupation, the age of primiparity and late marriage, more intake of salted meat and sausage, passive smoking, having the history of family tumor, of breast benign tumor, and of the mastadenitis; but the more number of giving births, longer period of time of lactation, more vegetable intake, and taking more vitamin may have preventive effect for breast cancer.