Body Composition and Characterization of Skinfold Thicknesses from Polycystic Ovary Syndrome Phenotypes. A Preliminar Case-Control Study
- PMID: 33799425
- PMCID: PMC8002058
- DOI: 10.3390/ijerph18062977
Body Composition and Characterization of Skinfold Thicknesses from Polycystic Ovary Syndrome Phenotypes. A Preliminar Case-Control Study
Abstract
To describe whether polycystic ovary syndrome (PCOS) phenotypes vary in their body composition and skinfold (SKF) thicknesses and if they differ from women without PCOS, a preiminar case-control study was performed. A total of 117 cases were diagnosed using the Rotterdam criteria. Gynecological examinations and transvaginal ultrasound were performed in all women (266 women). Anthropometric measurements including SKF thickness were taken according to the restricted profile protocol of the international standards for the anthropometric evaluation according to the International Society of the Advancement of Kinanthropometry (ISAK). Women with PCOS had higher body mass index and percentage of fat mass with respect to controls. The endomorphy component was also significantly higher in women with PCOS than in controls. Each PCOS phenotype displayed a different representation in the somatochart respect to the others phenotypes and also compared to controls. Women with PCOS had significantly higher ∑7 SKF (p = 0.013), ∑appendicular SKF (p = 0.017) and ∑arm SKF (p = 0.019) than controls. H-O-POM phenotype had higher 7∑ SKF (p = 0.003), ∑appendicular SKF (p = 0.01), ∑arm SKF (0.005), ∑leg SKF, and ∑trunk SKF (0.008) and also a higher fast mass percentage than controls (p = 0.011). In conclusion, body composition evaluated by ISAK protocol is different in women with PCOS, especially in the complete phenotype (H-O-POM). This could have relevant implications in terms of clinical evaluation and follow-up of these women, although more researches in this field are needed.
Keywords: ISAK; anthropometry; polycystic ovary syndrome; somatochart; somatotype.
Conflict of interest statement
The authors declare no conflict of interest.
Figures




Similar articles
-
Analysis and Reliability of Anthropometric Measurements during Pregnancy: A Prospective Cohort Study in 208 Pregnant Women.J Clin Med. 2021 Aug 31;10(17):3933. doi: 10.3390/jcm10173933. J Clin Med. 2021. PMID: 34501380 Free PMC article.
-
Comparison of clinical and hormonal characteristics among four phenotypes of polycystic ovary syndrome based on the Rotterdam criteria.Arch Gynecol Obstet. 2016 Feb;293(2):447-56. doi: 10.1007/s00404-015-3889-5. Epub 2015 Sep 25. Arch Gynecol Obstet. 2016. PMID: 26408006
-
Dietary glycemic index is associated with less favorable anthropometric and metabolic profiles in polycystic ovary syndrome women with different phenotypes.Fertil Steril. 2013 Oct;100(4):1081-8. doi: 10.1016/j.fertnstert.2013.06.005. Epub 2013 Jul 2. Fertil Steril. 2013. PMID: 23830153
-
Reproductive hormone levels and anthropometry in postmenopausal women with polycystic ovary syndrome (PCOS): a 21-year follow-up study of women diagnosed with PCOS around 50 years ago and their age-matched controls.J Clin Endocrinol Metab. 2011 Jul;96(7):2178-85. doi: 10.1210/jc.2010-2959. Epub 2011 Apr 20. J Clin Endocrinol Metab. 2011. PMID: 21508129
-
A case-control observational study of insulin resistance and metabolic syndrome among the four phenotypes of polycystic ovary syndrome based on Rotterdam criteria.Reprod Health. 2015 Jan 16;12:7. doi: 10.1186/1742-4755-12-7. Reprod Health. 2015. PMID: 25595199 Free PMC article.
Cited by
-
Exploring the physiological factors relating to energy balance in women with polycystic ovary syndrome: a scoping review.Nutr Rev. 2025 Jan 1;83(1):160-174. doi: 10.1093/nutrit/nuad169. Nutr Rev. 2025. PMID: 38345350 Free PMC article.
References
-
- Lizneva D., Kirubakaran R., Mykhalchenko K., Suturina L., Chernukha G., Diamond M.P., Azziz R. Phenotypes and body mass in women with polycystic ovary syndrome identified in referral versus unselected populations: Systematic review and meta-analysis. Fertil. Steril. 2016;106:1510–1520.e2. doi: 10.1016/j.fertnstert.2016.07.1121. - DOI - PubMed
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical