Prevalence and risk factors for incontinence among Emirati women with diabetes.

PURPOSE: To estimate the prevalence and risk factors for urinary incontinence among a sample of Emirati women with diabetes. DESIGN: A cross-sectional survey design using probability sampling was employed to evaluate incontinence among 350 Emirati diabetic women. Age, body mass index, history of urinary tract infections, parity, diabetes duration, and type of diabetes management were evaluated as potential risk factors for incontinence. To assess type and frequency of incontinence, items from the National Health and Nutrition Examination Survey-Kidney Condition-Urology were used. FINDINGS: A total of 225 (64.3%) participants reported incontinence, with 110 (31.4%) expressed having an episode once a week or more. Both stress (n = 197, 56.3%) and urge incontinence (n = 208, 59.4%) were seen; 96 (48.7%) reported at least weekly stress incontinence episodes, and 109 (52.4%) reported weekly or more urge episodes. Results of logistic regression indicated that diabetes duration was the most significant risk factor for incontinence. CONCLUSION: Prevalence of incontinence in Emirati women was higher than that reported by diabetic women in other cultures. PRACTICE IMPLICATIONS: Clinicians working with Emirati diabetic women should endeavor to enhance screening for incontinence and design culturally appropriate strategies for teaching and treating this complication of diabetes.

Analysis of the relationship of leptin, high-sensitivity C-reactive protein, adiponectin, insulin, and uric acid to metabolic syndrome in lean, overweight, and obese young females.

OBJECTIVE: Over the last decade there has been a steady rise in obesity and co-morbidity, but little is known about the rate of metabolic dysfunction among young adults in the United Arab Emirates. Various factors have been implicated as biomarkers of metabolic syndrome. The objective of this study was to analyze the relationships of leptin, C-reactive protein (CRP), adiponectin, insulin, and uric acid to the metabolic syndrome components in lean, overweight, and obese young females. METHODS: This was a cross-sectional study of 69 apparently healthy young females, who were classified according to their body mass index (BMI) (kg/m(2)) into three groups: lean (25 and <30), and obese (>or=30). Estimated biomarkers were: leptin, insulin, adiponectin, high-sensitivity [hs]-CRP, uric acid, blood sugar, high-density lipoprotein (HDL), low-density lipoprotein (LDL), total cholesterol, and triglycerides (TG). Anthropometric measures, blood pressure, and homeostasis model assessment-insulin resistance (HOMA-IR) were also measured. RESULTS: Serum leptin, hs-CRP, insulin, and uric acid increased significantly (p < 0.01) with increased BMI. Only one significant correlation (p < 0.05) between the biomarkers and the metabolic syndrome components was found in lean subjects (leptin vs. waist circumference r = 0.48) as opposed to six in the obese group (hs-CRP vs. waist circumference and systolic blood pressure [SBP], r = 0.45 and r = -0.41, respectively; insulin vs. diastolic blood pressure [DBP], r = 0.47; adiponectin vs. blood sugar, r = -0.44; and uric acid vs. waist circumference and TG, r = 0.5 and r = 0.51, respectively). CONCLUSION: Estimation of the levels of studied biomarkers could be an important tool for early detection of metabolic syndrome before the appearance of its frank components. Uric acid seems to be the most reliable biomarker to identify obese subjects with metabolic syndrome.