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Summary Menstruation is an inflammatory process that involves changes in women's physiology leading to mental and physical complaints. Sleep is essential for optimal hormonal release, immune response, and wellbeing, becoming an important factor to be evaluated. We compared sleep, inflammatory mediators, fatigue, anxiety and depression symptoms, and quality of life in menstruating and non‐menstruating women. We used the polysomnographic data of 232 women from EPISONO 2007, an epidemiological study from São Paulo city, Brazil. Women were distributed into menstruating (N = 61) and non‐menstruating groups (N = 171). We applied questionnaires related to sleep quality, sleepiness, insomnia, fatigue, anxiety and depression symptoms, and quality of life. The serum levels of interleukin 6, tumour necrosis factor‐alpha, and C‐reactive protein were analysed. For statistical analysis the significance level adopted was p < 0.05. Sleep efficiency was statistically lower in menstruating women (81% ± 13) compared with the non‐menstruating group (84.2% ± 13.3, p < 0.023). No statistical differences between the two groups were found in respect to the other parameters analysed. Both groups scored for fatigue symptoms, but no statistical significance was observed between the groups. Our findings indicate that menstruation was associated with lower objective sleep efficiency, suggesting that menstruation may be a physiological factor impairing sleep. Further studies evaluating menstrual variables, and each phase of the menstrual cycle, should be undertaken to detect the main factors associated with sleep complaints, fatigue, and objective parameters of sleep. [ABSTRACT FROM AUTHOR]

Objectives: To investigate the association between insomnia severity symptoms and menstrual health, fatigue and anxiety symptoms in women at reproductive age. Method: We used data from EPISONO (2007), an epidemiological study from the city of São Paulo, Brazil. Women completed the Insomnia Severity Index (ISI), the Chalder Fatigue Scale (CFS), and the Beck Anxiety Inventory (BAI) to obtain information about insomnia, fatigue, and anxiety symptoms. For menstrual health, we collected information using our Institutional Women's Questionnaire about menstrual flow and duration, the presence of pain during menstruation and menstrual cycle regularity. The statistical analysis was performed using ordinal logistic regression, considering p <.05. Results: Of the 1,042 participants, only 282 women met the inclusion criteria to participate in this study. The mean age was 34.4 years (SD ± 8.36), and the body mass index (BMI) was 25.7 (SD ± 5.39). According to the model, a 1-unit higher CFS score increased the odds of having more insomnia symptoms in the ISI (OR = 1.170; 95% CI=[1.073; 1.279]; p <.001). In the same way, a 1-unit higher BAI score increased the chance of presenting insomnia symptoms, according to the ISI (OR = 1.072; 95% CI=[1.042; 1.104]; p <.001). The menstrual variables did not represent statistical significance in the model. Conclusions: Fatigue and anxiety symptoms were associated with insomnia symptoms; however, no association was observed between menstrual health and insomnia. The need to examine sleep when there are sleep complaints is essential to provide an accurate diagnosis that facilitates appropriate treatment and to provide better sleep quality for women. [ABSTRACT FROM AUTHOR]

Depression will be the disease with the highest incidence worldwide by 2030. Data indicate that postmenopausal women have a higher incidence of mood disorders, and this high vulnerability seems to be related to hormonal changes and weight gain. Although research evaluating the profile of metabolites in mood disorders is advancing, further research, maintaining consistent methodology, is necessary to reach a consensus. Therefore, the objective of the present study was to carry out an exploratory analysis of the plasma polar metabolites of pre- and postmenopausal women to explore whether the profile is affected by depression. The plasma analysis of 50 polar metabolites was carried out in a total of 67 postmenopausal women, aged between 50 and 65 years, either without depression (n = 25) or with depression symptoms (n = 42), which had spontaneous onset of menopause and were not in use of hormone replacement therapy, insulin, or antidepressants; and in 42 healthy premenopausal women (21 without depression and 21 with depression symptoms), aged between 40 and 50 years and who were not in use of contraceptives, insulin, or antidepressants. Ten metabolites were significantly affected by depression symptoms postmenopause, including adenosine (FDR = 3.778 × 10−14), guanosine (FDR = 3.001 × 10−14), proline (FDR = 1.430 × 10−6), citrulline (FDR = 0.0001), lysine (FDR = 0.0004), and carnitine (FDR = 0.0331), which were down-regulated, and dimethylglycine (FDR = 0.0022), glutathione (FDR = 0.0048), creatine (FDR = 0.0286), and methionine (FDR = 0.0484) that were up-regulated. In premenopausal women with depression, oxidized glutathione (FDR = 0.0137) was down-regulated, and dimethylglycine (FDR = 0.0406) and 4-hydroxyproline (FDR = 0.0433) were up-regulated. The present study provided new data concerning the consequences of depression on plasma polar metabolites before and after the establishment of menopause. The results demonstrated that the postmenopausal condition presented more alterations than the premenopausal period and may indicate future measures to treat the disturbances involved in both menopause and depression. [ABSTRACT FROM AUTHOR]