Is obesity associated with polycystic ovarian disease? – an observational analytical study

Journal Title: Applied Physiology and Anatomy Digest - Year 2018, Vol 2, Issue 4

Abstract

Introduction-Polycystic ovarian disease (PCOD) is a common but complex endocrine disorder and is a major cause of anovulation and consequent infertility. The stressful lifestyle is leading to increased prevalence of polycystic ovarian disease in young adolescent and early reproductive population and it has association with many ongoing complications such as infertility, insulin resistance, dyslipidemia, endothelial dysfunction and overt diabetes mellitus. Obesity has an aggravating role in PCOD and several studies have documented that at least 30-40% of PCOD patients were obese or over weight.[1]The present study was undertaken to analyze the body mass index (BMI) in females having polycystic ovarian disease and compare them with age and gender matched healthy subjects. Material and Methods: 60 subjects within the age group of 20 to 30 years,were divided into two groups. Group I consisted of 30 diagnosed female patients of PCOD and Group II comprised of 30 age matched control group with normal menstrual cycles. Body mass index (BMI) was measured in all 60 subjects.To assess body mass index (BMI), height and weight of the subjects wasmeasured and by using the Quetelet’s index [2, 3, 4] body mass index (BMI) was calculated which is the most widely used method to gauge obesity. Body mass index of subjects was compared by applying unpaired t test. Results: Body mass index was significantly increased in PCOD patients as compared to healthy controls. Conclusion: In the present study, majority of polycystic ovarian disease patients were having obesity which may lead to complications of disease like infertility as well as other systemic disorders like diabetes mellitus, cardiovascular dysfunction and dyslipidemia. In the polycystic ovarian disease patients,loss of weight improves the fertility and also helps to prevent further complications of obesity.

Authors and Affiliations

Anupam Khare

Keywords

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  • EP ID EP552796
  • DOI -
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How To Cite

Anupam Khare (2018). Is obesity associated with polycystic ovarian disease? – an observational analytical study. Applied Physiology and Anatomy Digest, 2(4), 34-40. https://europub.co.uk./articles/-A-552796