Evaluation of body composition in body mass index matched PCOS and eumenorrheic non-PCOS college women
DOI:
https://doi.org/10.18203/2394-6040.ijcmph20250924Keywords:
PCOS, Body composition, Anthropometric parametersAbstract
Background: Poly cystic ovarian syndrome (PCOS) is a genetic, hormonal and metabolic disorder that affects the women of reproductive age. PCOS is considered as one of the leading causes of infertility in women. Body composition evaluation is considered as one of the predictive factors in metabolic risk assessment. The present study was undertaken with an objective to assess the body composition distribution in body mass index (BMI) matched PCOS and non-PCOS women.
Methods: A comparative case control study was conducted in BMI-matched, PCOS (n=55) and non-PCOS (n=55) college women aged between 18-25 years. PCOS subjects were selected based on the Rotterdam criteria. Prior to the study, ethical clearance certificate was obtained. Based on the BMI of PCOS cohort, non-PCOS healthy subjects (n=55) were selected with matched BMI. Body composition including anthropometry was analysed through bioelectrical impedance and standard protocols.
Results: Non-PCOS and PCOS groups showed the non-significant differences in most of their anthropometric parameters except weight, neck size, and height. However, total per cent body fat and visceral fat levels were found to be significantly high in PCOS women with the p value of <0.001** and p=0.005 respectively. Additionally, skeletal muscle index, skeletal muscle mass, and total protein content were found to be significant low in PCOS at 99% CI.
Conclusions: Visceral fat deposition and high percent body fat is generally associated with metabolic disturbance and hormonal changes and it was found to be highly prominent in the BMI matched PCOS women compared eumenorrheic healthy controls.
Metrics
References
Norman RJ, Dewailly D, Legro RS, Hickey TE. Polycystic ovary syndrome. Lancet. 2007;370(9588):685-97. DOI: https://doi.org/10.1016/S0140-6736(07)61345-2
Dokras A. Cardiovascular disease risk factors in polycystic ovary syndrome. Semin Reprod Med. 2008;26(01):039-44. DOI: https://doi.org/10.1055/s-2007-992923
WHO, 2023. https://www.who.int/news-room/fact-sheets/detail/polycystic-ovary-syndrome. Accessed on 31 December 2024.
Bharali MD, Rajendran R, Goswami J, Singal K, Rajendran V. Prevalence of polycystic ovarian syndrome in India: a systematic review and meta-analysis. Cureus. 2022;14(12). DOI: https://doi.org/10.7759/cureus.32351
Crosignani PG, Colombo M, Vegetti W, Somigliana E, Gessati A, Ragni G. Overweight and obese anovulatory patients with polycystic ovaries: parallel improvements in anthropometric indices, ovarian physiology and fertility rate induced by diet. Hum Reprod. 2003;18(9):1928-32. DOI: https://doi.org/10.1093/humrep/deg367
Li Y, Zhai H, Kang L, Chu Q, Zhao X, Li R. Causal association between basal metabolic rate and risk of cardiovascular diseases: a univariable and multivariable Mendelian randomization study. Sci Rep. 2023;13(1):12487. DOI: https://doi.org/10.1038/s41598-023-39551-2
Pasquali R, Stener‐Victorin E, Yildiz BO, Duleba AJ, Hoeger K, Mason H, et al. PCOS Forum: research in polycystic ovary syndrome today and tomorrow. Clin Endocrinol. 2011;74(4):424-33. DOI: https://doi.org/10.1111/j.1365-2265.2010.03956.x
Zangeneh FZ, Jafarabadi M, Naghizadeh MM, Abedinia N, Haghollahi F. Psychological distress in women with polycystic ovary syndrome from Imam Khomeini Hospital, Tehran. J Reprod Infertil. 2012;13(2):111.
Green KI, Amadi C. Pattern of dyslipidemia among adult women with polycystic ovary syndrome in Port Harcourt, Nigeria. Int J Reprod Contracept Obstet Gynecol. 2018;7(11):4494. DOI: https://doi.org/10.18203/2320-1770.ijrcog20184495
Legro RS. Obesity and PCOS: implications for diagnosis and treatment. Semin Reprod Med. 2012;30(06):496-506). DOI: https://doi.org/10.1055/s-0032-1328878
Carmina E, Campagna AM, Lobo RA. Emergence of ovulatory cycles with aging in women with polycystic ovary syndrome (PCOS) alters the trajectory of cardiovascular and metabolic risk factors. Human Reproduction. 2013 Aug 1;28(8):2245-52. DOI: https://doi.org/10.1093/humrep/det119
Vilmann LS, Thisted E, Baker JL, Holm JC. Development of obesity and polycystic ovary syndrome in adolescents. Hormone Res Paediatr. 2013;78(5-6):269-78. DOI: https://doi.org/10.1159/000345310
Sprung VS, Jones H, Pugh CJ, Aziz NF, Daousi C, Kemp GJ, et al. Endothelial dysfunction in hyperandrogenic polycystic ovary syndrome is not explained by either obesity or ectopic fat deposition. Clin Sci. 2014;126(1):67-74. DOI: https://doi.org/10.1042/CS20130186
Revised 2003 consensus on diagnostic criteria and long-term health risks related to polycystic ovary syndrome (PCOS). Hum Reprod. 2004;19(1):41-7. DOI: https://doi.org/10.1093/humrep/deh098
Tan KC. Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet. 2004.
IASO W. IOTF. The Asia Pacific Perspective: Redefining Obesity and Its Treatment. Health Communications Australia Pty Limited. 2000.
Lim SS, Davies MJ, Norman RJ, Moran LJ. Overweight, obesity and central obesity in women with polycystic ovary syndrome: a systematic review and meta-analysis. Hum Reprod Update. 2012;18(6):618-37. DOI: https://doi.org/10.1093/humupd/dms030
Lerchbaum E, Schwetz V, Giuliani A, Obermayer-Pietsch B. Influence of a positive family history of both type 2 diabetes and PCOS on metabolic and endocrine parameters in a large cohort of PCOS women. Eur J Endocrinol. 2014;170(5):727-39. DOI: https://doi.org/10.1530/EJE-13-1035
Borruel S, Fernández-Durán E, Alpanes M, Martí D, Alvarez-Blasco F, Luque-Ramírez M, et al. Global adiposity and thickness of intraperitoneal and mesenteric adipose tissue depots are increased in women with polycystic ovary syndrome (PCOS). J Clin Endocrinol Metab. 2013;98(3):1254-63. DOI: https://doi.org/10.1210/jc.2012-3698
Jurczewska J, Ostrowska J, Chełchowska M, Panczyk M, Rudnicka E, Kucharski M, et al. Abdominal obesity in women with polycystic ovary syndrome and its relationship with diet, physical activity and insulin resistance: a pilot study. Nutrients. 2023;15(16):3652. DOI: https://doi.org/10.3390/nu15163652
Piaggi P, Thearle MS, Bogardus C, Krakoff J. Fasting hyperglycemia predicts lower rates of weight gain by increased energy expenditure and fat oxidation rate. J Clin Endocrinol Metab. 2015;100(3):1078-87. DOI: https://doi.org/10.1210/jc.2014-3582
Alawad AO, Merghani TH, Ballal MA. Resting metabolic rate in obese diabetic and obese non-diabetic subjects and its relation to glycaemic control. BMC Res Notes. 2013;6:1-5. DOI: https://doi.org/10.1186/1756-0500-6-382
Hopkins JL, Hopkins PN, Brinton EA, Adams TD, Davidson LE, Nanjee MN, et al. Expression of metabolic syndrome in women with severe obesity. Metab Syndr Rel Disord. 2017;15(6):283-90. DOI: https://doi.org/10.1089/met.2016.0116
Ali N, Mahmood S, Manirujjaman M, Perveen R, Al Nahid A, Ahmed S, et al. Hypertension prevalence and influence of basal metabolic rate on blood pressure among adult students in Bangladesh. BMC Public Health. 2018;18:1-9. DOI: https://doi.org/10.1186/s12889-017-4617-9
Kumar AS, Maiya GA, Shastry BA, Vaishali K, Maiya S, Umakanth S. Correlation between basal metabolic rate, visceral fat and insulin resistance among type 2 diabetes mellitus with peripheral neuropathy. Diabetes Metab Syndr Clin Res Rev. 2019;13(1):344-8. DOI: https://doi.org/10.1016/j.dsx.2018.10.005