Sleep disturbances in women with Polycystic Ovary Syndrome (PCOS) have been reported in recent years. The majority of published studies are related to Obstructive Sleep Apnea (OSA) while not many researches have analyzed any other causes of sleep disturbances. A group of ninety five women with Polycystic Ovary Syndrome were enrolled into the study. Sleep disturbances were assessed using validated questionnaires. On the grounds of Athens Insomnia Scale (AIS) evaluation a clinically significant insomnia was ascertained in 12.6% of women with PCOS, while according to Insomnia Severity Index (ISI) in 10.5%. Clinically significant insomnia according to both AIS and ISI, occurred significantly more often in women with PCOS than in women without PCOS based on the chi-square test. The Mann–Whitney U test revealed statistically significant difference between women with and without PCOS based on total values of ISI. An excessive daytime sleepiness occurred at 7.4% of women with PCOS. Statistically significant dependance between: clinically significant insomnia in both AIS and ISI and excessive daytime sleepiness indicated by Epworth Sleepiness Scale (ESS) was observed. Sleep disorders are common in women with PCOS. Screening assessment of sleep disturbances should be a part of medical diagnostics in women with PCOS.

Context The aim of this study was to assess the plasma leptin, adiponectin, resistin, visfatin/NAMPT, omentin-1, vaspin, apelin, TNF-α, IL-6 and RBP4 levels in relation to hormonal changes during the menstrual cycle in young, healthy, normal-weight women. Methods The study involved 52 young, healthy, normal-weight women. Anthropometric parameters, body composition and levels of plasma leptin, adiponectin, resistin, visfatin/NAMPT, omentin-1, vaspin, apelin, TNF-α, IL-6 and RBP4 in addition to serum FSH, LH, estradiol, progesterone, 17-OH progesterone, androgens, SHBG and insulin concentrations were measured during a morning in fasting state three times: between days 2–4, days 12–14 and days 24–26 of the menstrual cycle. Results Plasma adiponectin, omentin-1, resistin and visfatin/NAMPT, apelin, TNF-α, IL-6 and RBP4 concentrations were stable during the menstrual cycle, while leptin and vaspin levels were significantly higher in both the midcycle and the luteal phases than those in the follicular phase. Multivariate regression analyses revealed that changes in leptin and vaspin levels between the follicular and the luteal phase are strongly related to changes in total testosterone levels. Conclusions Our results revealed stable levels of adipokines during the phases of the physiological menstrual cycle, except for leptin and vaspin, which showed increased levels in both the midcycle and the luteal phases. This effect was significantly associated with changes in the secretion of testosterone, 17-OH progesterone and insulin in the luteal phase.

We aimed to evaluate the relationship between selected serum sex hormones and lipid profiles in a group of women with polycystic ovary syndrome (PCOS) dividing according to four phenotypes, value of body mass index (BMI), and presence of hyperlipidemia. The study included 606 Caucasian women. Lipids and selected hormones were estimated using commercially available procedures during hospitalization in 2017. Phenotype of PCOS, BMI value, and hyperlipidemia were significant factors that influenced androgen hormone concentrations, such as total and free testosterone and androstenedione as well as the value of free androgen index (FAI). Moreover, significant changes in concentrations of dehydroepiandrosterone sulphate and sex hormone binding globulin (SHBG) were found between those groups. Higher quartiles of triglyceride concentrations increased the odds ratio of decreased concentrations of SHBG or increased values of FAI, while an adverse relation was found in case of HDL-C. The concentration of estradiol in the blood of women with PCOS was not associated with lipid profile parameters in any investigated groups. Probably, irregularities in sex hormone concentrations during PCOS is not directly associated with lipid profile parameters but could be reflective of the concentration of SHBG or the ratio of SHBG and total testosterone and their association with lipids.