Major Sleep Disorders Among Women

From the Medical Service, G.V. (Sonny) Montgomery Veteran Affairs Medical Center, Jackson, Mississippi, and the Department of Medicine, Quillen College of Medicine, East Tennessee State University, Johnson City.
Southern medical journal (Impact Factor: 0.93). 08/2013; 106(8):470-8. DOI: 10.1097/SMJ.0b013e3182a15af5
Source: PubMed


Disruption of sleep causes adverse health outcomes and poor quality of life. People with sleep disruption have higher levels than people without disrupted sleep of depression and anxiety and increased rates of cardiovascular diseases. Women have a higher incidence than men of insomnia and depression related to poor sleep. The types of complaints differ significantly between the sexes. Women are more likely than men to complain of insomnia, headache, irritability, and fatigue than the "typical" symptoms of loud snoring and breathing cessation during sleep. Hormones play an important role in sleep in women. Reproductive hormones were found to have a protective effect on sleep apnea in women of premenopausal age. Pregnancy is another period when the prevalence of sleep apnea and restless leg syndrome increases from hormonal effect. Cardiovascular mortality is high in women with obstructive sleep apnea. Continuous positive airway pressure therapy improves outcomes in most cases of obstructive sleep apnea. The epidemiology, risk factors, diagnostic criteria, and therapies for the three most common sleep disorders (insomnia, obstructive sleep apnea, and restless leg syndrome), along with effects of menopause, pregnancy, and social factors on sleep in women, are key considerations for clinicians caring for female patients across the adult life span.

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    • "There is an uncertainty regarding the pharmacological treatment of sleeping disorders during pregnancy due to the fear of negative birth outcomes. It has been reported that 64–88% of pregnant women in western countries experience disturbed sleep during pregnancy, in contrast to 20–38% of women in the general population [1, 2]. "
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    ABSTRACT: Background. There is little knowledge regarding the characteristics of women treated with hypnotic benzodiazepine receptor agonists (HBRAs) during pregnancy. In this large Danish cohort study, we characterize women exposed to HBRA during pregnancy. We determined changes in prevalence of HBRA use from 1997 to 2010 and exposure to HBRAs in relation to pregnancy. Methods. We performed a retrospective cohort study including 911,017 pregnant women in the period from 1997 to 2010. Information was retrieved from The Danish Birth Registry and The Registry of Medicinal Product Statistics to identify pregnant women redeeming a prescription of HBRAs. Results. We identified 2,552 women exposed to HBRAs during pregnancy, increasing from 0.18% in 1997 to 0.23% in 2010. Compared to unexposed women, exposed women were characterized by being older, with higher BMI, in their third or fourth parity, of lower income and education level, more frequently smokers, and more likely to be comedicated with antipsychotic, anxiolytic, or antidepressant drugs (P < 0.0001). Conclusion. Women using HBRAs during their pregnancy differ from unexposed women in socioeconomic factors and were more likely to receive comedication. The consumption of HBRAs was reduced during pregnancy compared to before conception.
    Obstetrics and Gynecology International 04/2014; 2014:945621. DOI:10.1155/2014/945621
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    • "moderate to severe SAS and stroke prevalence [6]. Previous studies also have found that the development of SAS is associated with age and sex [7] [8]; however, the association of age-and sex-specific differences between stroke and SAS patients remains unclear. In our study, we took advantage of a universal healthcare insurance system , the National Health Insurance in Taiwan, to study a large cohort of patients with SAS to assess the age-and sex-specific vulnerability of developing stroke. "
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    ABSTRACT: Objective Patients with sleep apnea syndrome (SAS) carry a higher stroke risk. The differential stroke risk between sex and among different age groups has not yet been specifically addressed in previous studies. Methods Using a universal insurance claims database, we identified a large cohort of SAS patients from 1997 to 2010 and assessed the sex- and age-specific stroke risk compared with a control cohort matched for age, sex, and index date. Cox regression analyses were performed to assess the hazard ratio (HR) of stroke and the corresponding 95% confidence interval (CI). Stroke-free probabilities were computed using the Kaplan-Meier method and differences between both cohorts were examined using the log-rank test. Results We identified 29,961 patients with SAS and a control cohort of 119,844 subjects without SAS. The overall incidence of stroke in the SAS cohort was 37% higher compared to the non-SAS cohort (54.6 per 10,000 individual-years vs 39.8 per 10,000 individual-years). After controlling for sex and comorbidities, the SAS cohort exhibited a 19% higher risk for stroke compared to the control cohort (adjusted HR, 1.19 [95% CI, 1.09–1.30]). Women with SAS ages 35 years or younger had the highest stroke risk compared to older age groups of the same sex and their risk for stroke was relatively higher compared to their male counterparts. Conclusions Women aged 35 years or younger with SAS have a higher stroke risk.
    Sleep Medicine 04/2014; 15(4). DOI:10.1016/j.sleep.2013.12.011 · 3.15 Impact Factor
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    ABSTRACT: The purpose of this study was to determine the relationship between quality of sleep and autonomic nervous functioning in healthy adult Japanese women using three measures, namely, the Pittsburgh Sleep Quality Index (PSQI) for subjective assessment of sleep quality, actigraphy for objective assessment of sleep, and heart rate variability using high frequency and low frequency domains. Participants were 31 healthy women in their 20s to 40s who met the selection criteria, including having normal monthly menstrual periods. Participants were categorized as good or poor sleepers according to their PSQI score. Median correlation coefficients of activity count and high frequency were -0.62 (range -0.43 to -0.84) for good sleepers and -0.45 (range 0.003 to -0.64) for poor sleepers. Good sleepers showed a significantly higher correlation of activity count and high frequency (Z=-2.11, P<0.05). Median correlation coefficients of activity count and low frequency/high frequency were 0.54 (range 0.29-0.73) for good sleepers and 0.41 (range 0.11-0.63) for poor sleepers. The PSQI, actigraphy data, and heart rate variability results showed positive correlations between sleep time as measured by PSQI and duration of inactivity as measured by actigraphy (r=0.446, P<0.05) and sleep time as measured by actigraphy (r=0.377, P<0.05), and a negative correlation between sleep time as measured by PSQI and the correlation coefficients of activity count and high frequency (r=-0.460, P<0.01). These results support the finding that sleep-wake rhythms can be monitored efficiently with actigraphy, providing accurate data that can support the diagnosis of sleeping disorders. Furthermore, actigraphy data were associated with heart rate variability and PSQI findings, but only in subjects who were poor sleepers. Actigraphy is an accurate, efficient, rapid, and inexpensive test for determining objective and subjective sleeping problems, and can also be used in clinical tests for sleep assessment.
    Neuropsychiatric Disease and Treatment 01/2014; 10:89-96. DOI:10.2147/NDT.S56827 · 1.74 Impact Factor
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