Body composition of lean women with polycystic ovary syndrome

Authors

  • Lina Zabulienė Clinics of Rheumatology, Traumatology-Orthopaedics and Reconstructive Surgery, Faculty of Medicine, Vilnius University, Lithuania; Antakalnio out-patient clinic, consultant‘s department, Vilnius, Lithuania
  • Jurgita Urboniene Infectious Diseases and Tuberculosis Hospital, Vilnius University hospital “Santariskiu klinikos”, Vilnius, Lithuania
  • Janina Tutkuvienė Department of Anatomy, Histology and Anthropology, Faculty of Medicine, Vilnius University, Lithuania

DOI:

https://doi.org/10.2478/anre-2013-0018

Keywords:

PCOS, somatotype, adipose tissue

Abstract

Polycystic ovary syndrome (PCOS) is one of the most frequent endocrine and metabolic disorders in reproductive age women, and it is related to changes in body size, shape and composition. Anthropometric somatotype is a quantitative description of the individual’s body shape and composition classified as endomorphy, mesomorphy or ectomorphy. Since PCOS somatotype has never previously been studied, here we evaluate body shape and composition phenomena in lean women with polycystic ovary syndrome and assess relationships with metabolic parameters. The study of 20–35 year-old women was carried out at the Department of Anatomy, Histology and Anthropology at Vilnius University. Standard anthropometric instruments and methods were used, and J. Matiegka’s equations calculated skeletal mass, skin and subcutaneous adipose tissue and muscles and internal organs. In addition, Heath – Carter’s somatotypes were computed, and the participants’ glucose, insulin, testosterone, sex hormone-binding globulin and lipid levels were established. We analysed data from 120 women with a mean age of 27.30 ± 3.68 years. Lean women with PCOS had greater skeletal mass by 0.47 kg (p<0.05, Cohen’s d=1.14), greater skin and subcutaneous adipose tissue mass by 2.79 kg (p<0.05, Cohen’s d=6.07) and lower muscle mass by 1.47 kg (p<0.05, Cohen’s d=2.84) compared to control women (p<0.05). The mean PCOS somatotype ratio was 4.96–4.38–3.00 (SD 1.50–1.26–1.11). This classified women with PCOS as mesomorphic endomorphs, in contrast to healthy women who were endomorphic mesomorphs. The PCOS subjects’ skin and subcutaneous adipose tissue and endomorphy/mesomorphy somatotype positively correlated with insulin levels and the HOMA-IR. It was established that lean women with polycystic ovary syndrome had a mesomorphic endomorph somatotype and higher skin and subcutaneous adipose tissue mass, but less muscle mass than healthy lean women. In addition, skin and subcutaneous adipose tissue positively correlated with insulin level and HOMA-IR in lean PCOS women.

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References

Allahbadia GN. Merchant R. 2011. Polycystic ovary syndrome and impact on health. Middle East Fertility Jourmal 16:19–37.
View in Google Scholar

American Diabetes Association (ADA). Standards of medical care in diabetes – 2009. Diabetes Care 2011; 34(Suppl 1): S11–61.
View in Google Scholar

Anthropometrica: a textbook of body measurement for sports and health courses. 2002. Norton K, Olds T, editors. Sidney: UNSW Press books.
View in Google Scholar

Aydin K, Cinar N, Aksoy DY, Bozdag G, Yildiz BO. 2013. Body composition in lean women with polycystic ovary syndrome: effect of ethinyl estradiol and drospirenone combination. Contraception 87(3):358–62.
View in Google Scholar

Azziz R, Carmina E, Dewailly D, Diamanti-Kandarakis E, Escobar-Morreale HF, Futterweit W et al. 2009. The Androgen Excess and PCOS Society criteria for the polycystic ovary syndrome: the complete task force report. Fertil Steril 91(2):456– 88.
View in Google Scholar

Baltadjiev AG. 2012. Somatotype characteristics of male patients with type 2 diabetes mellitus. Folia Med (Plovdiv) 54(2):40–5.
View in Google Scholar

Barber TM, Franks S. 2013. Adipocyte biology in polycystic ovary syndrome. Mol Cell Endocrinol 373(1-2):68–76.
View in Google Scholar

Barber TM, Golding SJ, Alvey C, Wass JA, Karpe F, Franks S et al. 2008. Global adiposity rather than abnormal regional fat distribution characterizes women with polycystic ovary syndrome. J Clin Endocrinol Metab 93(3):999–1004.
View in Google Scholar

Bartoli E, Fra GP, Carnevale Schianca GP. 2011. The oral glucose tolerance test (OGTT) revisited. Eur J Intern Med 22(1):8–12.
View in Google Scholar

Buffa R, Floris G, Putzu PF, Carboni L, Marini E. 2007a. Somatotype in elderly type 2 diabetes patients. Coll Antropol 31(3):733–7.
View in Google Scholar

Buffa R, Lodde M, Floris G, Zaru C, Putzu PF, Marini E. 2007b. Somatotype in Alzheimer’s disease. Gerontology 53(4):200–4.
View in Google Scholar

Carmina E, Bucchieri S, Esposito A, Del Puente A, Mansueto P, Orio F et al. 2007. Abdominal fat quantity and distribution in women with polycystic ovary syndrome and extent of its relation to insulin resistance. J Clin Endocrinol Metab 92(7):2500–5.
View in Google Scholar

Carmina E, Guastella E, Longo RA, Rini GB, Lobo RA. 2009. Correlates of increased lean muscle mass in women with polycystic ovary syndrome. Eur J Endocrinol 161(4):583–9.
View in Google Scholar

Carter JEL. 2002. The Heath-Carter antropometric somatotype. [pdf] Available at: http://www.somatotype.org/Heath-CarterManual.pdf [Accessed 9 Sep 2013].
View in Google Scholar

Cosar E, Ucok K, Akgun L, Koken G, Sahin FK, Arioz DT et al. 2008. Body fat composition and distribution in women with polycystic ovary syndrome. Gynecol Endocrinol 24(8):428–32.
View in Google Scholar

Crosignani PG, Colombo M, Vegetti W, Somigliana E, Gessati A, Ragni G. 2003. Overweight and obese anovulatory patients with polycystic ovaries: parallel improvements in anthropometric indices, ovarian physiology and fertility rate induced by diet. Hum Reprod 18(9):1928–32.
View in Google Scholar

Dantas WS, Gualano B, Rocha MP, Barcellos CR, dos Reis Vieira Yance V, Marcondes JA. 2013. Metabolic disturbance in PCOS: clinical and molecular effects on skeletal muscle tissue. ScientificWorld Journal (in press).
View in Google Scholar

Faulds G, Ryden M, Ek I, Wahrenberg H, Arner P. 2003. Mechanisms behind lipolytic catecholamine resistance of subcutaneous fat cells in the polycystic ovarian syndrome. J Clin Endocrinol Metab 88(5):2269–73.
View in Google Scholar

Gennarelli G, Holte J, Berglund L, Berne C, Massobrio M, Lithell H. 2000. Prediction models for insulin resistance in the polycystic ovary syndrome. Hum Reprod 15(10):2098–102.
View in Google Scholar

Good C, Tulchinsky M, Mauger D, Demers LM, Legro RS. 1999. Bone mineral density and body composition in lean women with polycystic ovary syndrome. Fertil Steril. 72(1):21–5.
View in Google Scholar

Hashimoto DM, Schmid J, Martins FM, Fonseca AM, Andrade LH, Kirchengast S. 2003. The impact of the weight status on subjective symptomatology of the Polycystic Ovary Syndrome: a cross-cultural comparison between Brazilian and Austrian women. Anthropol Anz 61(3):297–310.
View in Google Scholar

Jakimavičienė EM, Tutkuvienė J. 2004. Antropometriniai ir kiti kūno sudėties nustatymo metodai. (Antropomethry and other methods for assessment of body composition.) Medicinos teorija ir praktika 2(38):138–43 Kalichman L, Kobyliansky E. 2006. Sex- and age-related variations of the somatotype in a Chuvasha population. Homo 57(2):151–62.
View in Google Scholar

Kassanos D, Trakakis E, Baltas CS, Papakonstantinou O, Simeonidis G, Salamalekis G, et al. 2010. Augmentation of cortical bone mineral density in women with polycystic ovary syndrome: a peripheral quantitative computed tomography (pQCT) study. Hum Reprod 25:2107–14.
View in Google Scholar

Katz A, Nambi SS, Mather K, Baron AD, Follmann DA, Sullivan G, et al. 2000. Quantitative insulin sensitivity check index: a simple, accurate method for assessing insulin sensitivity in humans. J Clin Endocrinol Metab 8:2402–10.
View in Google Scholar

Kirchengast S, Huber J. 2001. Body composition characteristics and body fat distribution in lean women with polycystic ovary syndrome. Hum Reprod 16(6):1255–60.
View in Google Scholar

Knussmann R, Schwidetzky I, Jurgens HW, Ziegelmayer G. Antropologie. 1 Teil. 1988. Stuttgart; Gustav Fischer Verlag.
View in Google Scholar

Koleva M, Nacheva A, Boev M. 2002. Somatotype and disease prevalence in adults. Rev Environ Health 17(1):65–84.
View in Google Scholar

Malina RM, Katzmarzyk PT, Song TMK, Theriault G, Bouchard C. 1997. Somatotype and cardiovascular risk factors in healthy adults. Am J Hum Biol 9:11–1.
View in Google Scholar

Manneras-Holm L, Leonhardt H, Kullberg J, Jennische E, Oden A, Holm G et al. 2011. Adipose tissue has aberrant morphology and function in PCOS: enlarged adipocytes and low serum adiponectin, but not circulating sex steroids, are strongly associated with insulin resistance. J Clin Endocrinol Metab 96(2):E304–11.
View in Google Scholar

March WA, Moore VM, Willson KJ, Phillips DI, Norman RJ, Davies MJ. 2010. The prevalence of polycystic ovary syndrome in a community sample assessed under contrasting diagnostic criteria. Hum Reprod 25(2):544–51.
View in Google Scholar

Martin R, Saller K. Lehrbuch Der Anthropologie. Band II. 1959. Stuttgart: Gustav Fischer Verlag; p. 971–6.
View in Google Scholar

Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. 1985. Homeostasis model assessment: insulin resistance and β – cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia 28:412–9.
View in Google Scholar

McGarry JD. 2002. Banting lecture 2001: dysregulation of fatty acid metabolism in the etiology of type 2 diabetes. Diabetes 51(1):7–18.
View in Google Scholar

Moran L, Teede H. 2009. Metabolic features of the reproductive phenotypes of polycystic ovary syndrome. Hum Reprod Update 15(4):477–88.
View in Google Scholar

Padmanabhan V. 2009. Polycystic ovary syndrome – “A riddle wrapped in a mystery inside an enigma”. J Clin Endocrinol Metab 94(6):1883–5.
View in Google Scholar

Penaforte FR, Japur CC, Diez-Garcia RW, Chiarello PG. 2011. Upper trunk fat assessment and its relationship with metabolic and biochemical variables and body fat in polycystic ovary syndrome. J Hum Nutr Diet 24(1):39–46.
View in Google Scholar

Puder JJ, Varga S, Kraenzlin M, De Geyter C, Keller U, Muller B. 2005. Central Fat Excess in Polycystic Ovary Syndrome: Relation to Low-Grade Inflammation and Insulin Resistance. J Clin Endocrinol Metab 90(11):6014–21.
View in Google Scholar

Saitoglu M, Ardicoglu O, Ozgocmen S, Kamanli A, Kaya A. 2007. Osteoporosis risk factors and association with somatotypes in males. Arch Med Res 38(7):746– 51.
View in Google Scholar

Schooling CM, Jiang C, Zhang W, Lam TH, Cheng KK, Leung GM. 2011. Adolescent build and diabetes: the Guangzhou Biobank Cohort Study. Ann Epidemiol 21(1):61–6.
View in Google Scholar

Snijder MB, Dekker JM, Visser M, Bouter LM, Stehouwer CD, Yudkin JS, et al. 2004. Trunk fat and leg fat have independent and opposite associations with fasting and postload glucose levels: the Hoorn study. Diabetes Care 27(2):372–7.
View in Google Scholar

Sterkowicz-Przybycien K, Almansba R. 2011. Sexual dimorphism of anthropometrical measurements in judoists vs. untrained subject. Sci Sports 26:316-23.
View in Google Scholar

Sterkowicz-Przybycien K. 2009. Body composition and somatotype of the elite of Polish fencers. St Coll Antropol 33(3):765–72.
View in Google Scholar

Svendsen PF, Nilas L, Norgaard K, Jensen JE, Madsbad S. 2008. Obesity, body composition and metabolic disturbances in polycystic ovary syndrome. Hum Reprod 23(9):2113–21.
View in Google Scholar

The Rotterdam ESHRE/ASRM-sponsored PCOS consensus workshop group. 2004. Revised 2003 consensus on diagnostic criteria and long-term health risks related to polycystic ovary syndrome (PCOS). Hum Reprod 19:41–7.
View in Google Scholar

To M, Wong MA. 2005. Comparison of bone mineral density in oligomenorrhoeic adolescents with polycystic ovaries and normal ovaries. Gynecol Endocrinol 20:237–42.
View in Google Scholar

Toscani M, Migliavacca R, Sisson de Castro JA, Spritzer PM. 2007. Estimation of truncal adiposity using waist circumference or the sum of trunk skinfolds: a pilot study for insulin resistance screening in hirsute patients with or without polycystic ovary syndrome. Metabolism 56(7):992–7.
View in Google Scholar

Tutkuvienė J, Jakimavičienė EM. 2004. Kūno sudėjimo rodikliai ir jų sąsajos su bendra sveikatos būkle. (Indices of body frame and their connections with general health status.) Medicinos teorija ir praktika 1(37):59–63.
View in Google Scholar

Vermeulen A, Verdonck L, Kaufman JM. 1999. A critical evaluation of simple methods for the estimation of free testosterone in serum. J Clin Endocrinol Metab 84:3666–72.
View in Google Scholar

Villa J, Pratley RE. 2011. Adipose tissue dysfunction in polycystic ovary syndrome. Curr Diab Rep 11(3):179–84.
View in Google Scholar

Williams SR, Goodfellow J, Davies B, Bell W, McDowell I, Jones E. 2000. Somatotype and angiographically determined atherosclerotic coronary artery disease in men. Am J Hum Biol 12(1):128–38.
View in Google Scholar

World Health Organization: Definition and Diagnosis of Diabetes Mellitus and intermediate hyperglycaemia: Report of a WHO/IDF Consultation. 2006. Geneva, World Health Org.
View in Google Scholar

Yildirim B, Sabir N, Kaleli B. 2003. Relation of intra-abdominal fat distribution to metabolic disorders in nonobese patients with polycystic ovary syndrome. Fertil Steril 79:1358–64.
View in Google Scholar

Yucel A, Noyan V, Sagsoz N. 2006. The association of serum androgens and insulin resistance with fat distribution in polycystic ovary syndrome. Eur J Obstet Gynecol Reprod Biol 126(1):81–6.
View in Google Scholar

Zabulienė L, Kučinskienė ZA, Jakimavičienė EM, Drąsutienė G, Tutkuvienė J. 2012. Policistinių kiaušidžių sindromu sergančių moterų hiperandrogenizmo matai ir jų kritinės reikšmės. (Indices and cutoff points for hyperandrogenism in woman with polycystic ovary syndrome.) Laboratorinė medicina 14–1(5348):8–17.
View in Google Scholar

Zborowski J, Cauley J, Talbott E, Guzick D, Winters J. 2000. Bone mineral density, androgens, and the polycystic ovary: the complex and controversial issue of androgenic influence on female bone. J Clin Endocrinol Metab 85:3496–506.
View in Google Scholar

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Published

2013-12-30

How to Cite

Zabulienė, L., Urboniene, J., & Tutkuvienė, J. (2013). Body composition of lean women with polycystic ovary syndrome. Anthropological Review, 76(2), 183–198. https://doi.org/10.2478/anre-2013-0018

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