Evaluation of Female Sexual Function in Persons With Type 2 Diabetes Mellitus Seen in a Tertiary Hospital in Southeast Nigeria With Emphasis on its Frequency and Predictors.
Ignatius EzeaniUgochukwu OnyeonoroEjiofor T UgwuPublished in: Journal of sex & marital therapy (2019)
Women with diabetes are at increased risk of sexual problems. However, this problem is underreported; hence, the need for this study. This was a cross sectional case-controlled study. Seventy-five consenting females with type 2 diabetes mellitus (T2DM) were enrolled from the Diabetes Clinic of the Federal Medical Center, Umuahia, while 75 persons, which included hospital workers and female companions of subjects, were recruited as a control group. Sexual dysfunction in both groups was diagnosed and characterized using the female sexual function index (FSFI). Data obtained from this study was presented as Mean ± SD and analyzed using SPSS 17 software. The mean age of the T2DM group and control were 44.5 years and 38.9 years, respectively. The mean total female sexual score was 22.10 ± 6.66 in the T2DM subjects, while in the control subjects it was 22.43 ± 5.29. This was not statistically significant. The FSFI scores in the desire, lubrication, and orgasm domains were all lower in the diabetic women and this was statistically significant (p < 0.05). The domains of pain and arousal were also lower in the diabetic women, although this was not statistically significant (p > 0.05). The proportion of diabetic females who reported problems in the arousal, lubrication, orgasm, and pain domains was higher (40.0, 36.4, 32.7, 29.1) than the controls (27.9, 16.2, 14.7, 19.1; p < 0.05). The prevalence of female sexual dysfunction in our study was high. Similarly, the FSFI score was low in women with diabetes when compared with controls. The domains of arousal, pain, orgasm, and satisfaction were the most affected in subjects with DM. Age, marital status, body mass index, fasting blood sugar, and hypertension were predictive of sexual dysfunction in the diabetic women.
Keyphrases
- type diabetes
- mental health
- glycemic control
- chronic pain
- body mass index
- cardiovascular disease
- polycystic ovary syndrome
- pain management
- healthcare
- neuropathic pain
- oxidative stress
- wound healing
- machine learning
- pregnancy outcomes
- emergency department
- spinal cord injury
- insulin resistance
- physical activity
- risk factors
- metabolic syndrome
- pregnant women
- cervical cancer screening