Aim: To evaluate breast cancer risk factors in women who applied to Samsun Atakum Cancer Early Diagnosis, Screening Education Center (KETEM), affiliated to Atakum District Health Directorate, for breast cancer screening.

Materials and Methods: This is a cross-sectional, descriptive study. 205 women who applied for breast cancer screening to the Samsun Atakum KETEM were included in the study. Sociodemographic, anthropometric and breast cancer risk data of the participants were obtained by applying a one to one survey, and the breast cancer risk was calculated using the Gail Model together with the mammografy results.

Results: The average age of the participants is 52.49 ± 8.138 years, and the average BMI measurement is 29.94 ± 5.583 kg/m2. The five-year average risk score of developing breast cancer in participants whose relatives were diagnosed with breast cancer was found to be 10.61±3.83 (t= -4.680; p<0.01), while the lifetime risk average score of women with BIRADS 0 was found to be 10.91±3.23 (t= -3.057; p<0.01). Women with breast types C and D were found to have a higher risk of developing breast cancer than women with other breast structures (F=12.824; p<0.01). There was a negative correlation between the lifetime risk of developing breast cancer and age, BMI, weight, waist circumference, breast circumference, age at first menstruation, number of births, duration of HRT use and total breastfeeding duration (p<0.01). There was a positive correlation between the five-year risk of developing breast cancer and age, age at first birth, and age at menopause (p<0.01).

Conclusion: In our study, the most important risk factors for developing breast cancer were found to be advanced age, early age of menstruation, late menopause age, late birth age, low birth rate and duration of breastfeeding, and the presence of a history of breast cancer in a relative. In our study, unlike the literature; age, BMI, weight, waist circumference, chest circumference, and duration of HRT taking are negatively correlated with breast cancer risk; ıt shows that a unique calculation tool should be created based on the lifestyle, anthropometric structure, reproductive characteristics and genetic characteristics of the population in our country