OBJECTIVE: Our objective in this study was to evaluate the factors predicting female sexual dysfunction (FSD) in patients with diabetes mellitus (DM). SUBJECTS AND METHODS: The study included 149 women with DM. Sexual function was evaluated with the Female Sexual Function Index (FSFI) questionnaire, in which total scores under 26.55 characterized the occurrence of FSD (Group 1 > 26.55, Group 2 < 26.55). We recorded the patients' demographic, metabolic, and hormonal data. Ophthalmologic, neurologic, and renal complications were also evaluated. The antioxidant status of the patients in both groups was determined by measuring the activity of the enzymes paraoxonase-1 (PON-1) and arylesterase (ARE). RESULTS: Based on the FSFI scores, 60 patients were allocated to Group 1 (26.6 ± 12.3) and 89 to Group 2 (22.6 ± 9.5). Group 2 compared with Group 1 had significantly (p < 0.05) higher mean concentrations of glycated hemoglobin (HbA1c), glucose, triglycerides, and insulin, along with higher rates of metformin use, smoking, retinopathy, and nephropathy. The mean serum ARE concentrations were significantly lower in Group 2 compared with Group 1 (p = 0.000), but the mean serum PON-1 concentrations were similar between both groups (p = 0.218). On multivariable regression analysis, age, ARE activity, Beck Depression Inventory (BDI) score, and menopause were significant independent predictors of FSD (p < 0.05). CONCLUSIONS: In this study, we evaluated the predictive factors determining FSD caused by DM. Despite the significant results found in our study, future randomized controlled studies with a long follow-up and a larger number of patients are required to determine how DM affects FSD.
OBJECTIVE: Our objective in this study was to evaluate the factors predicting female sexual dysfunction (FSD) in patients with diabetes mellitus (DM). SUBJECTS AND METHODS: The study included 149 women with DM. Sexual function was evaluated with the Female Sexual Function Index (FSFI) questionnaire, in which total scores under 26.55 characterized the occurrence of FSD (Group 1 > 26.55, Group 2 < 26.55). We recorded the patients' demographic, metabolic, and hormonal data. Ophthalmologic, neurologic, and renal complications were also evaluated. The antioxidant status of the patients in both groups was determined by measuring the activity of the enzymes paraoxonase-1 (PON-1) and arylesterase (ARE). RESULTS: Based on the FSFI scores, 60 patients were allocated to Group 1 (26.6 ± 12.3) and 89 to Group 2 (22.6 ± 9.5). Group 2 compared with Group 1 had significantly (p < 0.05) higher mean concentrations of glycated hemoglobin (HbA1c), glucose, triglycerides, and insulin, along with higher rates of metformin use, smoking, retinopathy, and nephropathy. The mean serum ARE concentrations were significantly lower in Group 2 compared with Group 1 (p = 0.000), but the mean serum PON-1 concentrations were similar between both groups (p = 0.218). On multivariable regression analysis, age, ARE activity, Beck Depression Inventory (BDI) score, and menopause were significant independent predictors of FSD (p < 0.05). CONCLUSIONS: In this study, we evaluated the predictive factors determining FSD caused by DM. Despite the significant results found in our study, future randomized controlled studies with a long follow-up and a larger number of patients are required to determine how DM affects FSD.
Authors: Ewelina Bąk; Agnieszka Młynarska; Danuta Sternal; Monika Kadłubowska; Ewa Marcisz-Dyla; Czesław Marcisz Journal: Int J Environ Res Public Health Date: 2021-03-04 Impact factor: 3.390