EC Gynaecology

Research Article Volume 13 Issue 3 - 2024

The Prevalence of Metabolic Syndrome in Patients with Polycystic Ovarian Syndrome Attending the DAHC in Dubai, UAE

Leena Lajpat Rathi*, Mervat Mories Sargieous and Majida Naeem

Department of Primary Health, Women Health Unit, DHA Dubai, United Arab Emirates

*Corresponding Author: Leena Lajpat Rathi, Department of Primary Health, Women Health Unit, DHA Dubai, United Arab Emirates.
Received: February 16, 2024; Published: February 23, 2024



Introduction: Metabolic syndrome refers to a condition, which includes particular risk factors that are specific for cardiovascular diseases. This research critically examines the prevalence of metabolic syndrome in patients with polycystic ovarian syndrome attending the DAHC in Dubai, UAE.

Methods: The study was conducted as a retrospective cross-sectional study at the Primary health facility in Dubai Academic Health Corporation (DAHC). The metabolic syndrome of participants of the study is analysed in terms of five factors. They are BMI over 30, blood pressure, HDL, Triglyceride, and Blood sugar level. The sample size of the study included 267 female patients.

Results: The results revealed that 12.5% of participants are there with the three factors. 10 females included in the study have 4 factors out of 5, which is only 3.8% of the sample. However, there is only one female with all five factors within the cluster of metabolic syndrome which is insignificant in percentage as it is only 0.4%.

Discussion: The results of the present study have several differences when compared to the studies conducted by other researchers. A potential reason can be due to the use of different measures in the present study.

Conclusion: It is concluded that the prevalence of metabolic syndrome in patients with PCOS in the UAE is identified as only 16.7% which is lower than the studies conducted in other countries about PCOS women with metabolic syndrome. It is recommended that future research should conduct the study with a large sample size to find the deviations in the findings.

 Keywords: Metabolic Syndrome; Polycystic Ovarian Syndrome (PCOS); Blood Pressure; HDL; BMI; Blood Sugar Level; Triglyceride