OBJECTIVES: The aim of the study was to compare bone mineral density (BMD) in healthy postmenopausal women to BMD in type 2 diabetic hypertensive postmenopausal women with hyperlipidemia. METHODS: Fifty type 2 diabetic and hypertensive postmenopausal women with hyperlipidemia and 51 age and body mass index (BMI) matched healthy postmenopausal women were included. Lumbar spine and femoral neck BMD were noted in both groups. BMD was measured using dual energy X-ray absorptiometry (DXA). Serum alkaline phosphatase (ALP), calcium and phosphorous were also measured. Pearson correlation coefficients were used to establish the relationship between various clinical characteristics. RESULTS: There were no significant differences between two groups in respect to lumbar and vertebral BMD values, age, BMI, gravidity, parity. Serum cholesterol and fasting glucose levels were significantly different between each groups (P = 0.0001, P = 0.002). CONCLUSION: We found that, accompanying chronic diseases such as diabetes, hypertension and hyperlipidemia don't affect the BMD measurements at postmenopausal period. So these postmenopausal women don't have excess risk regarding osteoporosis.
Absorptiometry, Photon ; Alkaline Phosphatase ; Body Mass Index ; Bone Density* ; Calcium ; Cholesterol ; Chronic Disease ; Fasting ; Female ; Femur Neck ; Glucose ; Gravidity ; Humans ; Hyperlipidemias* ; Hypertension* ; Osteoporosis ; Parity ; Postmenopause ; Spine

OBJECTIVES: Breast density increases the risk of breast cancer, but also in the interpretation of mammography is also important. This study examine the risk factors affecting breast density in postmenopausal women. METHODS: Between January 2013 and January 2014, 215 patients admitted to The Clinics of Gynecology and Obstetrics with complaints of menopause were taken. According to the results of mammography, Group I (non-dense, n = 175) and Group II (dense, n = 40) were created. The informations of the caseswere analyzed retrospectively. RESULTS: In Group I, body mass index (BMI), number of pregnancies, parity were significantly higher than group II (P < 0.05). In group II, the withdrawal period of menstruation and progesterone levels were significantly higher (P < 0.05). In logistic regression analysis, BMI for dense breasts and number of pregnancies were found to be an independent risk factor (P < 0.05). CONCLUSION: Increased BMI, pregnancy and parity, result of reduction in density , but longer duration of menopause and increased progesterone cause an increase in density. BMI and the number of pregnancy was found to be independent risk factors for reducing breast density.
Body Mass Index ; Breast ; Breast Neoplasms ; Female ; Gynecology ; Humans ; Logistic Models ; Mammography ; Menopause ; Menstruation ; Obstetrics ; Parity ; Postmenopause ; Pregnancy ; Progesterone ; Retrospective Studies ; Risk Factors