Neda Ghavanloo - MD. Dept. of Health Care Management, Zanjan Social Health Research Center, Zanjan University of Medical Sciences, Zanjan, Iran
Somayeh Abdollahi Sabet - MD. Dept. of Health Care Management, Zanjan Social Health Research Center, Zanjan University of Medical Sciences, Zanjan, Iran
علیرضا شغلی - MD. Dept. of Health Care Management, Zanjan Social Health Research Center, Zanjan University of Medical Sciences, Zanjan, Iran
Esmail Rezazade - PhD. Student, Hospital Administration Research Center, Sari Brranch,IslamicAzad University, Sari,Iran
Benyamin Mohseni Saravi - PhD. Health information management, Mazandaran University of Medical Sciences, Sari, Iran
Nima Motamed - MD. Dept. of Health Care Management, Zanjan Social Health Research Center, Zanjan University of Medical Sciences, Zanjan, Iran

Background: Breast cancer is one of the most important malignancies in both developed and developing countries. Objectives: To reduce the burden of this disease, the prediction of individuals at risk and implementation of efficient preventive interventions can be effective. The present study was aimed at investigating five-year and lifetime risks of the breast cancer in a rural community in Zanjan province, Iran. Methods: A total of ۴۳۵ subjects aged ۳۵ years old were randomly selected using systematic randomization in a rural community in Zanjan. The participation rate was ۹۲.۴% (۴۰۲ women). Data collection instrument was a questionnaire in which all associated variables of Gail model and demographic information were included. The data were analyzed using SPSS software version ۱۸, and mean cancer risks were reported. Results: Family history of breast cancer and history of breast biopsy were found to be positive in ۳.۵% and ۰.۳% of participants, respectively. Out of all participants, ۸۴.۳% were under ۶۰ years old and ۱۳.۲% were illiterate. Five-year and lifetime mean risks were fund to be ۰.۷۴% and ۷.۶%, respectively. About ۲% of the participants had a higher cancer risk>۱.۶۶%. Conclusion: The findings demonstrated that based on the Gail model, the lifetime risk of the participants will be one out of ۱۳ women. Given the lower estimations of Gail model in the prediction of breast cancer, we suggest general population interventions and high-risk strategies be implemented to decrease problems associated with the breast cancer in the future.  

breast cancer, five-year risk, gail model, ninety-year