Objective: To establish the evaluation model for risk factors of patients with breast cancer surrounding Beijing and Tianjin. Methods: The risk factors of patients with breast cancer were screened, then the new risk evaluation model was established based on these important factors. Diagnostic efficiencies of the new model and Gail model were compared by the calculation of area below ROC curve, and then the appropriate cut-offpoints of high,moderate and low risk were figured out. Results: The potential risk factors of breast cancer included age, body mass index(BMI) > 25, breast cancer-family history, long and bad emotions caused by undesirable life and the absence of emotion-adjusting ability, poor sleep, lifetime unpregnancy,smoking index >400,dense breast. Conclusion: The new model can provide a better prediction on patients’ risk of breast cancer.