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The prevalence of obesity and its relationship with estimated risk of affect to breast cancer by Gail model in women older than 35 years: A comprehensive study in southeast of Iran
European Food Chemistry & Eating Disorder Congress
July 26-27, 2018 | Amsterdam, Netherlands
Hossein Ansari, Nilofar Ghavami, Neda Mahdavifar and Maryzm Ghorbani
Zahedan University of Medical Sciences, Iran
Azad University of Zahedan, Iran
Posters & Accepted Abstracts: J Food Process Techno
Abstract:
Breast cancer (BC) is the most common cancer among Iranian women and around the world that affects the life quality of women. It seems that this cancer is related to obesity and nutritional status. This study was aimed to assess the relationship between obesity and estimated risk of BC in southeast of Iran. This cross sectional study was conducted on 260 women more than 35 years old referring to health centers in Zahedan. The data was collected by interview using a structured questionnaire. Breast cancer risk assessment tool calculated the Gail risk for each subject. In addition to bivariate analyses, multiple linear regressions were used to predict the effect of obesity on the estimated risk controlling for potential confounders such as using vegetables and fruits. The mean age of the participants was 48.5�7.6 years old. The five years and lifetime risk were 0.36�0.21 and 5.3�0.82 percent, respectively. In both bivariate and multiple regression analysis, the higher body mass index (BMI) was related to higher five years and lifetime estimated risk of BC (P<0.05). However, the variables including vegetables and fruits consumption status, age of first live birth, age, family history of BC, ethnicity and history of divorce, were considered as potential confounders in multiple regression analysis. The risk of BC based on Gail model is related to nutritional status and obesity. Therefore, preventing from obesity and overweight probably decreases the likelihood of breast cancer among women. However, the modified Gail model for women could be offered including the effect of known risk factors such as BMI and nutritional status in each region separately.
Biography :
E-mail: ansarih88@gmail.com