Taxonomic tree model to study risk factors of breast cancer

doi:10.3877/cma. j. issn.1674-0807.2013.03.006

Abstract

Abstract:

Objective

To analyse the risk factors of breast cancer using taxonomic tree model and predict the risk of the patients, and provide references for the intervention of the breast cancer.

Methods

The relevant data of 1023 women admitted in the First and Second People’s Hospital of Mudanjiang City and the Affiliated Hongqi Hospital of Mudanjiang Medical College from July 2010 to June 2012 were collected using the questionnaire survey, laboratory test, etc. The risk factors of breast cancer were screened using the taxonomic tree model, and ROC curve was used to evaluate this model.

Results

Family history of breast cancer, long time depression, times of abortion (≥3 times),menarche age(≤12 years),mean time of menstruation(＞7 d),term pregnancy, case history of breast benign diseases, waist-to-hip ratio(≥0.8)and body mass index (≥25)were risk factors for breast cancer; diet of legume food(≥2 times per week), breast-feeding and physical exercise were protective factors(P＜0.050).

Conclusion

The taxonomic tree model can screen out fast and effectively the major risk factors of breast cancer and predict the risk of breast cancer in population, indicating good application value in epidemiological studies.

Key words: epidemiology, breast neoplasms, taxonomic tree, risk factors

Hong-jun GUAN, Jun-hua LU, Li-juan LI, Yu-peng GUO, Sheng-zhong RONG, Ying-ying NIU, Xiao-xia LI. Taxonomic tree model to study risk factors of breast cancer[J]. Chinese Journal of Breast Disease(Electronic Edition), 2013, 07(03): 179-183.

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URL: https://zhrxbzz.cma-cmc.com.cn/EN/10.3877/cma. j. issn.1674-0807.2013.03.006

https://zhrxbzz.cma-cmc.com.cn/EN/Y2013/V07/I03/179

Figures/Tables 4

变量	赋值说明
组别	1=病例,2=对照
文化程度	0=初中以下,1=初中以上学历
职业	0=工人、教师及退休人员,1=农民、家政及服务业人员
体质指数	0=BMI＜25,1=BMI≥25
腰臀比	0=WHR＜0.8,1=WHR≥0.8
体育锻炼	0=有,1=无
熬夜情况	0=无,1=有
足月妊娠	0=否,1=是
哺乳情况	0=人工,1=母乳
月经初潮年龄	0=≤12岁,1=＞12岁
流产次数	0=＜3次,1=≥3次
平均行经时间	0=≤7 d,1=＞7 d
是否服用避孕药	0=否,1=是
乳腺良性疾病史	0=否,1=是
乳腺癌家族史	0=否,1=是
豆类食品	0=1周少于2次,1=1周不少于2次
长期精神压抑	0=否,1=是

预测分类	错分矩阵(真实分类)		Risk统计量
预测分类	病例数	对照数	估计值	S _$\bar{x}$
病例数	246	95	0.130	0.011
对照数	38	644

预测分类	错分矩阵(真实分类)		Risk统计量
预测分类	病例数	对照数	估计值	S _$\bar{x}$
病例数	246	95	0.130	0.011
对照数	38	644

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