Acta Scientific Women's Health (ASWH)(ISSN: 2582-3205)

Research Article Volume 6 Issue 2

Urban Women with PCOS have Unfavorable Anthropometric and Lipid Profiles: A Call for Action

Shreya Shah1, S A Udipi2, Anushree Patil3, Sharvari Malshe Desai2, Shubhada Agashe2, Gulrez Tyebkhan2, Beena Joshi3, Sanjay Chauhan3, Smita Mahale3, Ashok Vaidya2* and Rama Vaidya2

1Department of Food Science and Nutrition, SNDT Women’s University, India 2Kasturba Health Society, Medical Research Centre, India 3Indian Council of Medical Research, National Institute of Research in Reproductive and Child Health, India

*Corresponding Author: Ashok Vaidya, Kasturba Health Society, Medical Research Centre, India.

Received: August 11, 2023; Published: January 06, 2024

Abstract

Management of PCOS requires knowledge about clinical and biochemical markers since PCOS characteristically has several concurrent metabolic disturbances. Overweight/obesity, impaired glucose tolerance, and type 2 diabetes mellitus are commonly reported. In India, not many reports are available about the anthropometric and lipid profiles of women with PCOS. Therefore, we examined the blood sugar, lipid profile, obesity and adiposity measured anthropometric indicators (height, weight, waist and hip circumference (WC), body mass index (BMI), waist-hip ratio (WHR) and waist-to-height ratio (WHtR), skeletal muscle mass, percent total body fat and percent visceral fat) of 171 Indian women with PCOS who were attending a multi-disciplinary clinic in Mumbai, India. Overweight/obesity was common as 15.8% of women were overweight, 62% were obese. A large percentage of women had a higher amount of total percent body fat and some had high levels of visceral fat. WC, WHR, WHtR were above the desirable cut-off for a substantial percentage of women. Approximately, one-third of the women had low hemoglobin (33.7%), a considerable percentage had higher fasting (25.5%) and post-prandial blood sugars (14.3%). Approximately one-fourth had elevated total cholesterol (22%), triglycerides (20.7%), LDL cholesterol (33.6%) and low HDL cholesterol (36.2%). The present study provides evidence that diet and lifestyle play a crucial role in PCOS, and it is important to educate women with PCOS about adopting balanced wholesome diets and being physically active to improve their health.

Keywords: Cholesterol; Body Mass Index; Waist-Hip Ratio

References

  1. Teede HJ., et al. “International PCOS Network Recommendations from the international evidence-based guideline for the assessment and management of polycystic ovary syndrome”. Fertility and Sterility3 (2018): 364-379.
  2. Shah MT., et al. “Prevalence of Polycystic Ovarian Syndrome Among Adolescents and Young Women in India”. Journal of Diabetology3 (2021): 319-325.
  3. Deswal R., et al. “The Prevalence of Polycystic Ovary Syndrome: A Brief Systematic Review”. Journal of Human Reproductive Sciences 13.4 (2020): 261-271.
  4. Joshi B., et al. “A cross-sectional study of polycystic ovarian syndrome among adolescent and young girls in Mumbai, India”. Indian Journal of Endocrinology and Metabolism39 (2014): 317-324.
  5. Ganie MA., et al. “Epidemiology, pathogenesis, genetics and management of polycystic ovary syndrome in India”. Indian Journal of Medical Research 4 (2019): 333-344.
  6. Sharma M., et al. “Polycystic ovary syndrome among Indian adolescent girls - A systematic review and metanalysis”. Nepal Journal of Epidemiology3 (2021): 1063-1075.
  7. Bharathi RV., et al. “An epidemiological survey: Effect of predisposing factors for PCOS in Indian urban and rural population”. Middle East Fertility Society Journal4 (2017): 313- 316.
  8. Witchel SF., et al. “Polycystic Ovary Syndrome: Pathophysiology, Presentation, and Treatment With Emphasis on Adolescent Girls”. Journal of the Endocrine Society 8 (2019): 1545-1573.
  9. Nagamani, G., et al. “Visible signs of insulin resistance: opportunities lost”. International Journal of Diabetes in Developing Countries 34 (2014): 177-179.
  10. Mintziori G., et al. “The effect of excess body fat on female and male reproduction”. Metabolism 107 (2020): 154193.
  11. Rocha MP., et al. “Dyslipidemia in women with polycystic ovary syndrome: incidence, pattern and predictors”. Gynecology and Endocrinology10 (2011): 814-819.
  12. Hussain A., et al. “Dyslipidaemia in woman with polycystic ovarian syndrome: a case control study in tertiary care hospital of Karachi”. Journal of Pakistan Medical Association 9 (2014): 1049-1052.
  13. Misra A., et al. “High prevalence of insulin resistance in postpubertal Asian Indian children is associated with adverse truncal body fat patterning, abdominal adiposity and excess body fat”. International Journal of Obesity and Related Metabolic Disorder 10 (2004): 1217-1226.
  14. Gong R., et al. “Associations of TG/HDL Ratio with the Risk of Prediabetes and Diabetes in Chinese Adults: A Chinese Population Cohort Study Based on Open Data”. International Journal of Endocrinology 8 (2021): 9949579.
  15. WHO Expert Consultation. “Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies”. Lancet (London, England)9403 (2004): 157-163.
  16. Misra A., et al. “Concensus Group. Consensus statement for diagnosis of obesity, abdominal obesity and the metabolic syndrome for Asian Indians and recommendations for physical activity, medical and surgical management”. Journal of the Association of Physicians of India 57 (2009) :163-170.
  17. Waist circumference and waist-hip ratio: report of a WHO expert consultation, Geneva (2008): 8-11.
  18. Ashwell M., et al. “Six reasons why the waist-to-height ratio is a rapid and effective global indicator for health risks of obesity and how its use could simplify the international public health message on obesity”. International Journal of Food Sciences and Nutrition 5 (2005): 303-307.
  19. National Institutes of Health. Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) US Department of Health and Human Services. NIH Publication No. 01-3670. (2001).
  20. Haemoglobin concentrations for the diagnosis of anaemia and assessment of severity. Vitamin and Mineral Nutrition Information System. Geneva, WHO2 011 (WHO/NMH/NHD/MNM/11.1).
  21. Cosar E., et al. “Body fat composition and distribution in women with polycystic ovary syndrome”. Gynecology and Endocrinology8 (2008) :428-432.
  22. Svendsen PF., et al. “Obesity, body composition and metabolic disturbances in polycystic ovary syndrome”. Human Reproduction9 (2008): 2113-2121.
  23. Karabulut A., et al. “Evaluation of body fat distribution in PCOS and its association with carotid atherosclerosis and insulin resistance”. Gynecology and Endocrinology2 (2012): 111-114.
  24. Thathapudi S., et al. “Anthropometric and Biochemical Characteristics of Polycystic Ovarian Syndrome in South Indian Women Using AES-2006 Criteria”. International Journal of Endocrinology and Metabolism1 (2014): e12470.
  25. Kiranmayee D., et al. “Correlations Between Anthropometry and Lipid Profile in Women With PCOS”. Journal of Human Reproductive Sciences3 (2017): 167-172.
  26. Rasool SUA., et al. “Elevated fasting insulin is associated with cardiovascular and metabolic risk in women with polycystic ovary syndrome”. Diabetology and Metabolic Syndrome3 (2019): 2098-2105.
  27. Han Y., et al “Metabolic effects of polycystic ovary syndrome in adolescents”. Annals of Pediatric Endocrinology and Metabolism3 (2015): 136-142.
  28. Després JP., et al. “Abdominal obesity and metabolic syndrome”. Nature7121 (2006): 881-887.
  29. Shuster A., et al. “The clinical importance of visceral adiposity: a critical review of methods for visceral adipose tissue analysis”. British Journal of Radiology1009 (2012): 1-10.
  30. Misra P., et al. “Relationship between body mass index and percentage of body fat, estimated by bio-electrical impedance among adult females in a rural community of North India: A cross-sectional study”. Journal of Postgraduate Medicine3 (2019): 134-140.
  31. Jena D., et al. “Study of Visceral and Subcutaneous Abdominal Fat Thickness and Its Correlation with Cardiometabolic Risk Factors and Hormonal Parameters in Polycystic Ovary Syndrome”. Indian Journal of Endocrinology and Metabolism3 (2018): 321-327.
  32. Carmina E., et al. “Extensive clinical experience: relative prevalence of different androgen excess disorders in 950 women referred because of clinical hyperandrogenism”. The Journal of Clinical Endocrinology and Metabolism1 (2006): 2-6.
  33. Kalra P., et al. “Abdominal fat distribution and insulin resistance in Indian women with polycystic ovarian syndrome”. Fertility and Sterility4 (2009): 1437-1440.
  34. Agashe S. “Study of Advanced Body Age and Its Correlation with Indices of Metabolic Dysfunction in Patients of Polycystic Ovarian Syndrome”. MSc Dissertation submitted to Indira Gandhi Open University. (2020).
  35. Legro RS., et al. “Endocrine Society. Diagnosis and treatment of polycystic ovary syndrome: an Endocrine Society clinical practice guideline”. The Journal of Clinical Endocrinology and Metabolism12 (2013): 4565-4592.
  36. Kar S. “Anthropometric, clinical, and metabolic comparisons of the four Rotterdam PCOS phenotypes: A prospective study of PCOS women”. Journal of Human Reproductive Sciences3 (2013): 194-200.
  37. Ezeh U., et al. “Referral bias in defining the phenotype and prevalence of obesity in polycystic ovary syndrome”. The Journal of Clinical Endocrinology and Metabolism6 (2013): E1088-1096.
  38. Valenzuela PL., et al. “Obesity and the risk of cardiometabolic diseases”. Nature Reviews Cardiology7 (2023): 475-494.
  39. Aigner E., et al. “Obesity as an emerging risk factor for iron deficiency”. Nutrients9 (2014): 3587-3600.
  40. Pande S., et al. “Is Body Mass Index a potential biomarker for anemia in obese adolescents?” Journal of Nutrition and Intermediary Metabolism 15 (2019): 1-2.
  41. National Family Health Survey-5.
  42. Kumar AN., et al. “Metabolic and Endocrine Characteristics of Indian Women with Polycystic Ovary Syndrome”. International Journal of Fertility and Sterility1 (2016): 22-28.
  43. Hollmann M., et al. “Impact of waist-hip-ratio and body-mass-index on hormonal and metabolic parameters in young, obese women”. International Journal of Obesity and Related Metabolic Disorder 6 (1997): 476-483.
  44. Miralles WCS., et al. “Waist-to-height ratio (WHtR) and triglyceride to HDL-C ratio (TG/HDL-c) as predictors of cardiometabolic risk”. Nutricion Hospitalaria5 (2015): 2115-2121.
  45. Saghafi-Asl M., et al. “Lipid profile in relation to anthropometric indices and insulin resistance in overweight women with polycystic ovary syndrome”. Health Promotion Perspectives2 (2013): 206-216.

Citation

Citation: Ashok Vaidya., et al. “Urban Women with PCOS have Unfavorable Anthropometric and Lipid Profiles: A Call for Action".Acta Scientific Women's Health 6.2 (2024): 08-18.

Copyright

Copyright: © 2024 Ashok Vaidya., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




Metrics

Acceptance rate35%
Acceptance to publication20-30 days

Indexed In





News and Events


  • Certification for Review
    Acta Scientific certifies the Editors/reviewers for their review done towards the assigned articles of the respective journals.
  • Submission Timeline for Upcoming Issue
    The last date for submission of articles for regular Issues is July 10, 2024.
  • Publication Certificate
    Authors will be issued a "Publication Certificate" as a mark of appreciation for publishing their work.
  • Best Article of the Issue
    The Editors will elect one Best Article after each issue release. The authors of this article will be provided with a certificate of "Best Article of the Issue"
  • Welcoming Article Submission
    Acta Scientific delightfully welcomes active researchers for submission of articles towards the upcoming issue of respective journals.

Contact US