Skip to main navigation Skip to search Skip to main content

Burden of non-communicable disease risk factors in Polycystic Ovarian Syndrome (PCOS) Patients in South Indian population

  • Arghya Sur*
  • , Arindam Basu
  • , Hemontika Chakraborty
  • , M. R. PrabhaAdhikari
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Introduction: This study is likely to explore the risk factors of Polycystic Ovarian Syndrome (PCOS) creating impact over such non-communicable disease. Aim: To investigate the burden of non-communicable disease risk factors in PCOS subjects in South Indian Population of India. Materials and Methods: 103 female and their first-degree relatives (at least 3 members from each family) Patients with a clinical diagnosis of PCOS attending KMC hospital, Mangalore and KMC, hospital, Mangode, Cherpulassery; Kerala, medicine outpatient department were included in the study after obtaining informed consent. Diagnosis of PCOS was confirmed. Results: Prevalence of low physical activity, low fruit and vegetable intake, diabetes, hypertension, yslipidimia, BMI, tobacco use, alcohol use and family history. Conclusion: The data highlighting the need for careful monitoring and control of non-communicable disease risk factors in PCOS patients in south India. The prevalence of most risk factors was generally high across a range of housewives and students.

Original languageEnglish
Pages (from-to)37-39
Number of pages3
JournalBiomedicine (India)
Volume35
Issue number1
Publication statusPublished - 01-01-2015
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

  • General Medicine
  • General Biochemistry,Genetics and Molecular Biology

Fingerprint

Dive into the research topics of 'Burden of non-communicable disease risk factors in Polycystic Ovarian Syndrome (PCOS) Patients in South Indian population'. Together they form a unique fingerprint.

Cite this