中国城市居民乳腺癌危险因素的研究

目的 乳腺癌是全世界妇女中最多发的肿瘤。我国城市女性乳腺癌危险因素的筛查及其探索监测方法研究（并有相关的论文陆续发表），对乳腺癌的预防和控制十分重要。方法 在我国选择北京、天津、上海、重庆、武汉、广州六大城市作为监测地区，采用以人群为基础的１：１配对的病例对照研究方法，共抽取２１００对病例与对照，进行问卷调查。应用ＳＡＳ６．１２软件进行单因素、多因素条件ｌｏｇｉｓｔｉｃ回归分析，并对六城市分别做指

Study on risk factors of breast cancer among urban women in China

OBJECTIVE: Breast cancer is the most common malignant neoplasm in women all over the world. It is necessary to establish monitoring methods and to identify risk factors. METHODS: Six cities including Beijing, Shanghai, Tianjin, Chongqing, Wuhan and Guangzhou were chosen as the sample areas. 2 100 cases with 1:1 matched controls were interviewed with a uniformed questionnaire. Conditional logistic regression and cluster analysis were used for multivariate analysis. RESULTS: The common risk factors for the combined data of the six cities were high educational level (OR: 1.17), high body mass index (OR: 1.51), high intake of milk products (OR: 1.49), high intake of eggs (OR: 1.14), psychological depression (OR: 2.78), history of benign breast diseases (OR: 2.24), old age at marriage (OR: 1.42), dysmenorrhea (OR: 1.22), short duration of lactation (OR: 1.17). Among these factors, different cities had different ORs, as high educational level (OR: 1.20 - 1.61), high body mass index (OR: 1.40 - 22.36), high intake of milk products (OR: 1.64 - 3.39), depression (OR: 1.60 - 10.50), history of benign breast diseases (OR: 1.73 - 19.44). Some statistically significant correlations existed in different cities such as early age at menarche, old age at marriage, long menstrual periods, high intake of meat, eggs, sea food and passive smoking were risk factors. Some risk factors varied between premenopausal and postmenopausal women. Beijing, Wuhan and Chongqing were clustered as the same group in cluster analysis, so did Shanghai and Tianjin, but Guangzhou could not be grouped with other cities. CONCLUSION: Some common risk factors for breast cancer did exist in the six cities, but there were varieties in different areas which showed different places would have their own characteristics. Thus, careful study of risk factors, especially in the selection of variables and data analysis need to be carried on.