Vol. 11 (05) pp. 1742-1748 DOI: 10.21474/IJAR01/17042

ASSESSMENT OF BODY FAT COMPOSITION PARAMETERS IN WOMEN OF POLYCYSTIC OVARY SYNDROME (PCOS) : A CASE- CONTROL STUDY

  • Junior Resident.
  • Professor and Head, Department of Physiology, S.M.M.H Medical College, Sharanpur.
  • Professor and Head, Department of Physiology, LLRM Medical College, Meerut.
  • Associate Professor, Department of Physiology, LLRM Medical College, Meerut.
  • Assistant Professor, Department of Physiology, LLRM Medical College, Meerut.
  • Professor, Department of Obstetrics and Gynaecology, LLRM Medical College, Meerut.
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Abstract

Introduction: Polycystic ovary syndrome is a complex condition of women characterized by menstrual irregularities, elevated androgen levels & polycystic ovarian morphology. It is often associated with psychological impairment , metabolic derangements and obesity .

Objectives: Present study has been done to assess body fat mass composition in PCOS patients & to compare it with age-matched controls. Materials and Methods – 29 newly diagnosed PCOS patients as per Rotterdam criterion were recruited from the Obstetrics and Gynaecology OPD of SVBP hospital, Meerut. The cases were compared with 30 healthy age-matched women which acted as controls. Bioelectrical Impedance Analysis was used to record Body composition parameters such as Total body water, Soft Lean Mass, Fat Free Mass, Skeletal Muscle Mass, Body Fat Mass, Percentage Body Fat, Visceral Fat level, Body Mass Index, Fat-Free Mass Index, Skeletal Muscle Index. Anthropometric parameters including weight and height were also recorded.

Results: Body Mass Index (BMI), Skeletal Mass Index (SMI), Fat-Free Mass Index (FFMI) were significantly higher in patients with PCOS (p<0.01). Further, as compared to control group, other body fat composition parameters were also higher in patients of PCOS.

Conclusion: This study exhibits that women with PCOS have higher Body Fat and Skeletal Muscle parameters as compared to age-matched controls. Annual Screening of patients with PCOS by performing Body Composition Analysis will help them to maintain their body fat and muscle ratio in defined values & also prevent the various diseases associated with higher body fat in PCOS. 

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How to Cite This Article

Shweta Agarwal, Preeti Rathi, Chaudhary Lalita, Anshu Tandon, Megha Kulshreshtha and Aruna Verma (2023); ASSESSMENT OF BODY FAT COMPOSITION PARAMETERS IN WOMEN OF POLYCYSTIC OVARY SYNDROME (PCOS) : A CASE- CONTROL STUDY, International Journal of Advanced Research (IJAR), 11 (05), 1742-1748, ISSN 2320-5407. DOI: https://doi.org/10.21474/IJAR01/17042

Corresponding Author

Dr Shweta Agarwal
department of physiology, LLRM medical College, Meerut , Uttar Pradesh (India)
India

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