Assessment of Metabolic, Cardiovascular, and Anthropometric Parameters in PCOS Women Attending Gynecology Clinic at Nnewi, Anambra state, Nigeria

Augustine Chinedu Ihim, Charles Chinedum Onyenekwe, Nkiruka Nwamaka Eze, Patrick Chinedu Obi, Awalu JC Osakue N1 and Tochukwu Anthony Ikwelle
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Augustine Chinedu Ihim: Department of Medical Laboratory Science, Faculty of Health Sciences and Technology, Nnamdi Azikiwe University, Awka Anambra, Nigeria.
Charles Chinedum Onyenekwe: Department of Medical Laboratory Science, Faculty of Health Sciences and Technology, Nnamdi Azikiwe University, Awka Anambra, Nigeria.
Nkiruka Nwamaka Eze: Department of Medical Laboratory Science, Faculty of Health Sciences and Technology, Nnamdi Azikiwe University, Awka Anambra, Nigeria.
Patrick Chinedu Obi: Department of Internal Medicine, Federal University Teaching Hospital Owerri, Imo State, Nigeria.
Awalu JC Osakue N1: Department of Medical Laboratory Science, Evangel Akaeze Ebonyi State, Nigeria
Tochukwu Anthony Ikwelle: Department of Medical Laboratory Science, Faculty of Health Sciences and Technology, Nnamdi Azikiwe University, Awka Anambra, Nigeria.

International Journal of Research and Scientific Innovation, 2024, vol. 11, issue 5, 707-716

Abstract: Polycystic ovarian syndrome (PCOS) is a common hormonal disorder in reproductive-age women, characterized by irregular periods, excess androgen levels, and ovarian cysts, often leading to infertility. While incurable, symptoms can be managed through lifestyle changes and treatments. Its exact cause is unknown, but genetic and metabolic factors are implicated. A comprehensive evaluation assessed various health markers including insulin resistance, glycemic index, lipid profile, blood pressure, BMI, and waist-to-hip ratio in PCOS women at Nnewi Anambra State Nigeria’s gynecology clinic, likely aiming to understand metabolic health, cardiovascular risks, and overall well-being. In this cross-sectional study conducted at a hospital, 45 participants diagnosed with PCOS were compared to 45 participants without PCOS, all aged between 18 and 50. Biochemical parameters were assessed using the enzyme-linked immunoassay technique. Data was expressed as Mean ± standard deviation. The differences in parameters studied between the PCOS group (test) and the control group were evaluated using an independent t-test. Statistical significance was set at a p-value of

Date: 2024
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