Cihan Kaya1, Hüseyin Cengiz1, İsmail Alay1, Suna Örs2, Sinem Ertaş Kaya3, Murat Ekin1, Levent Yaşar1. 1. 1Department of Obstetrics and Gynecology, Bakirkoy Dr. Sadi Konuk Training and Research Hospital, University of Health Sciences, Istanbul, Turkey. 2. 2Department of Radiology, Van Training and Research Hospital, University of Health Sciences, Van, Turkey. 3. 3Department of Obstetrics and Gynecology, VKV American Hospital, Istanbul, Turkey.
Abstract
Background: Metabolic syndrome (MetS) could lead to an increase in fatty tissue that could be seen as a radiolucent image depicting breast density (BD) by a mammogram. We aimed to investigate the association between MetS and its separate components with BD among naturally postmenopausal women. Materials and Methods: Data of 494 postmenopausal patients who were admitted to our outpatient clinic between December 2012 and July 2015 were retrospectively reviewed. A total of 279 patients were in the without MetS group and 215 patients were in the with MetS group. Average BD percentage of the left and right breasts were measured. Basic characteristics, laboratory, and mammography results between the without MetS and the with MetS groups were compared. Results: The mean age of the patients was 53.20 ± 6.67 years in the without MetS group and 55.41 ± 6.56 years in the with MetS group. There were 219 (78.5%) patients in the without MetS group and 187 (86.9%) patients in the with MetS group with lower BD. The without MetS group had significantly higher BD scores than those patients in the with MetS group (P = 0.02). In correlation analysis, there was a negative correlation between fasting plasma glucose (FPG), systolic and diastolic blood pressures, waist circumference (WC), and BD scores. However, there was a positive correlation between high-density lipoprotein (HDL) and BD score (P = 0.046). In multivariate logistic regression analysis, it is found that lower body mass index (BMI) and parity were significantly associated with higher BD (P = 0.002 and P = 0.001; respectively). Conclusion: The lower BMI and parity may be associated with higher BD in postmenopausal women. In addition, higher HDL and lower FPG, blood pressure, triglyceride, and WC may be correlated with higher BD.
Background: Metabolic syndrome (MetS) could lead to an increase in fatty tissue that could be seen as a radiolucent image depicting breast density (BD) by a mammogram. We aimed to investigate the association between MetS and its separate components with BD among naturally postmenopausal women. Materials and Methods: Data of 494 postmenopausal patients who were admitted to our outpatient clinic between December 2012 and July 2015 were retrospectively reviewed. A total of 279 patients were in the without MetS group and 215 patients were in the with MetS group. Average BD percentage of the left and right breasts were measured. Basic characteristics, laboratory, and mammography results between the without MetS and the with MetS groups were compared. Results: The mean age of the patients was 53.20 ± 6.67 years in the without MetS group and 55.41 ± 6.56 years in the with MetS group. There were 219 (78.5%) patients in the without MetS group and 187 (86.9%) patients in the with MetS group with lower BD. The without MetS group had significantly higher BD scores than those patients in the with MetS group (P = 0.02). In correlation analysis, there was a negative correlation between fasting plasma glucose (FPG), systolic and diastolic blood pressures, waist circumference (WC), and BD scores. However, there was a positive correlation between high-density lipoprotein (HDL) and BD score (P = 0.046). In multivariate logistic regression analysis, it is found that lower body mass index (BMI) and parity were significantly associated with higher BD (P = 0.002 and P = 0.001; respectively). Conclusion: The lower BMI and parity may be associated with higher BD in postmenopausal women. In addition, higher HDL and lower FPG, blood pressure, triglyceride, and WC may be correlated with higher BD.
Authors: Jennifer Yin Yee Kwan; Petra Famiyeh; Jie Su; Wei Xu; Benjamin Yin Ming Kwan; Jennifer M Jones; Eugene Chang; Kenneth W Yip; Fei-Fei Liu Journal: JAMA Netw Open Date: 2020-11-02