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A Survey of the Polycystic Ovary Syndrome in the Greek Island of Lesbos: Hormonal and Metabolic Profile
Open accessAbstract
Polycystic ovary syndrome (PCOS) is characterized by hyperandrogenism, chronic anovulation, and oligomenorrhea (O/M). PCOS has variable clinical phenotypes, biochemical features, and metabolic abnormalities. To determine the prevalence of PCOS in the Greek population as well as the metabolic parameters, we performed a cross-sectional study of 192 women of reproductive age (17-45 yr), living on the Greek island of Lesbos. They were divided into 4 groups according to the presence of hirsutism (defined as a Ferriman-Gallwey score > or = 6) and O/M: group N (n = 108), regular menses and absence of hirsutism; group 1 (n = 56), regular menses and hirsutism; group 2 (n = 10), O/M and absence of hirsutism; and group 3 (n = 18), O/M and hirsutism. Body mass index, waist to hip ratio, and mean blood pressure did not differ among the studied groups. Hormonal profile was assessed by measuring free testosterone (FT). The prevalence of PCOS, defined by the presence of O/M and biochemical hyperandrogenism (FT > or = 95th percentile of the normal women), was estimated to be 6.77% (13 women of 192). Higher FT levels were observed in group 3 (O/M and hirsutism) compared with groups N (P < 0.00001) and 1 (P < 0.0001) and in groups 1 (hirsutism) and 2 (O/M) compared with group N (P < 0.0001 and P < 0.005, respectively). Sex hormone-binding globulin levels were lower in women with PCOS and in groups 1 and 3 than those in group N (P < 0.002, P < 0.02, and P < 0.002, respectively) independently of the body mass index. The metabolic profile was investigated by measurements of fasting glucose (FG), fasting insulin (FI), and estimation of the fasting glucose to insulin ratio (FG:I ratio). After covariance adjusted for the BMI, FI levels were higher in group 3 and in women with PCOS than in the normal (P < 0.005 and P < 0.002, respectively) and the hirsute (P < 0.05 and P < 0.02, respectively) women, whereas FG levels did not differ among the studied groups. The FG:I ratio was lower in group 3, group 1, and in women with PCOS than in normal women (P < 0.05). Finally, a high incidence of family history of diabetes mellitus (P = 0.001) and menstrual disorders (P = 0.01) was observed in women with PCOS, in contrast to the normal and hirsute women. In conclusion, PCOS appears to be a particularly common endocrine disorder in the Greek population under study (prevalence, 6.77%); furthermore, it is associated with certain metabolic abnormalities. These data also suggest that the severity of the fasting hyperinsulinemia is associated with the severity of the clinical phenotype of hyperandrogenism independently of obesity.
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Metadata
- Authors
- Diamanti‐Kandarakis, E., Kouli, C., Bergiele, A. T., Filandra, F. A., Tsianateli, T. C., Spina, G., Zapanti, E. D., & Bartzis, M. I.
- Venue
- The Journal of Clinical Endocrinology & Metabolism
- Publisher
- The Endocrine Society
- Published
- 1999-11
- Volume
- 84
- Issue
- 11
- Pages
- 4006-4011
- ISSN
- 0021-972X (ISSN-L)
- 1945-7197
- OpenAlex
- W2115094946
- Cited by
- 1,110
- References
- 1
- FWCI
- 13.34
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.