论文部分内容阅读
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，则有保护作用
Using 11 matched case-control study methods, the risk factors of 146 female breast cancer patients and 146 matched controls were investigated and Logistic regression analysis and principal component analysis were used for comprehensive investigation. RESULTS: Logistic regression analysis established a Logistic regression equation including five independent variables. Principal component analysis extracted 10 principal components from 22 breast cancer risk factors, and the variance cumulative contribution rate reached 64.8%. Tip: Occupation for the cadres, early age, eat sausage and bacon, late marriage age, long time of passive smoking, previous history of benign breast tumors, history of mastitis and breast cancer family history, etc., for the incidence of breast cancer Major risk factors, such as having a high number of births, long breast-feeding times, frequent intake of vitamins and vegetables, etc.