Prevalence of central obesity/increased waist to hip ratio among women with polycystic ovarian syndrome who attend gynecologycal clinics in tertiary care hospitals in Sri Lanka
DOI:
https://doi.org/10.18203/2320-1770.ijrcog20263971Keywords:
Central obesity, Hip, Polycystic ovary syndrome, WaistAbstract
Background: Polycystic ovary syndrome (PCOS) is an endocrine disorder with important reproductive and metabolic consequences, including a recognised association with central obesity. Objectives were to describe prevalence of central obesity (increased waist to hip ratio) among women with polycystic ovarian syndrome who attend to gynecological clinics in tertiary care hospitals in Sri Lanka.
Methods: A descriptive cross-sectional study was conducted at the gynecology clinic of Colombo South Teaching Hospital Sri Lanka, from January to December 2025. Women diagnosed with PCOS by the modified Rotterdam criteria within the preceding three months were recruited by convenience sampling (n=165); those with other causes of hyperandrogenism, current pregnancy, or ongoing dietary or lifestyle modification were excluded. Waist and hip circumferences were measured and the waist-to-hip ratio calculated, with 0.85 taken as the cut-off for central obesity. Data were analyzed using SPSS version 28.0.
Results: For waist circumference, the largest proportion measured <80 cm (n=53; 32.1%). For hip circumference, most measured 101-110 cm (n=74; 44.8%), and the commonest waist-to-hip ratio category was 0.81-0.90 (n=52; 31.5%). The mean age was 28.9 (SD= 5.6 years). Anovulation was present in 90 participants (54.5%) and hyperandrogenism in 143 (86.7%). The commonest phenotype was classic (Frank-A) PCOS (n=71). Central obesity was identified in 93 participants (56.0%; 95% CI 48.4-63.6). Anthropometric measures differed significantly across phenotypes, being highest in classic PCOS (mean waist-to-hip ratio 0.95) and lowest in the ovulatory and non-hyperandrogenic phenotypes (p<0.001).
Conclusions: Central obesity was common among women with PCOS and differed significantly by phenotype, being greatest in classic PCOS. The waist-to-hip ratio may serve as a simple marker to identify women with PCOS at higher metabolic risk who warrant screening and preventive intervention.
References
Wolf WM, Wattick RA, Kinkade ON, Olfert MD. Geographical prevalence of polycystic ovary syndrome as determined by region and race/ethnicity. Int J Environ Res Public Health. 2018;15(11).
Pasquali R, Gambineri A, Pagotto U. The impact of obesity on reproduction in women with polycystic ovary syndrome. BJOG. 2006;113(10):1148-59.
Glueck CJ, Goldenberg N, Wang P, Loftspring M, Sherman A. Metformin during pregnancy reduces insulin, insulin resistance, insulin secretion, weight, testosterone and development of gestational diabetes: prospective longitudinal assessment of women with polycystic ovary syndrome from preconception throughout pre. Hum Reprod. 2004;19(3):510-21.
Altintas KZ, Dilbaz B, Cirik DA, Ozelci R, Zengin T, Erginay ON, et al. The incidence of metabolic syndrome in adolescents with different phenotypes of PCOS. Ginekol Pol. 2017;88(6):289-95.
Pazderska A, Kyaw Tun T, Phelan N, McGowan A, Sherlock M, Behan L, et al. In women with PCOS, waist circumference is a better surrogate of glucose and lipid metabolism than disease status per se. Clin Endocrinol. 2018;88(4):565-74.
Mu L, Zhao Y, Li R, Lai Y, Qiao J. Metabolic characteristics of normal weight central obesity phenotype polycystic ovary syndrome women: a large-scale national epidemiological survey. Reprod Biomed Online. 2018;37(4):498-504.
Bahadur A, Mundhra R, Kashibhatla J, Rajput R, Verma N, Kumawat M. Prevalence of metabolic syndrome among women with different PCOS phenotypes- a prospective study. Gynecol Endocrinol. 2021;37(1):21-5.
Moran C, Arriaga M, Rodriguez G, Moran S. Obesity differentially affects phenotypes of polycystic ovary syndrome. Int J Endocrinol. 2012;2012:317241.
Mehra T, Sharma S, Zahra T, Jangir S, Gupta B. Correlation of body mass index with anthropometric and biochemical parameters among polycystic ovary syndrome phenotypes. Indian J Clin Biochem. 2023;38(2):231-41.
Fruzzetti F, Perini D, Lazzarini V, Parrini D, Genazzani AR. Adolescent girls with polycystic ovary syndrome showing different phenotypes have a different metabolic profile associated with increasing androgen levels. Fertil Steril. 2009;92(2):626-34.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Ilukpitiya G. D. C. Ilukpitiya, Ilukpitiya G. K. R. Ilukpitiya, Galathure G. P. Madhubhashini

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.