Sex differences in cardiac sympathovagal balance and vagal tone during nocturnal sleep

Valladares, Edwin M.; Eljammal, Sam M.; Motivala, Sarosh J.; Ehlers, Cindy L.; Irwin, Michael R.

doi:10.1016/j.sleep.2007.02.012

Cited by 36 publications

(26 citation statements)

References 27 publications

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“…However, in the present study we found no evidence of sex differences in sleep quality. Whilst this finding was unexpected, this result conforms with other reports which have found no evidence for statistically significant sex differences in global sleep quality score measured by the PSQI (for example, Buysse et al 1991;Carpenter and Andrykowski 1998;Valentine et al 2009;Valladares et al 2008).…”

Section: Associations Between Sleep and Environmentsupporting

confidence: 90%

Nonshared Environmental Influences on Sleep Quality: A Study of Monozygotic Twin Differences

et al. 2011

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Research has consistently demonstrated that environmental influences are important for explaining the variability in sleep quality observed in the general population. Although there is substantial evidence assessing associations between sleep quality and a host of environmental variables, it is possible that their effects are mediated by genetic influence. A monozygotic twin differences design was used to assess the specific contribution of nonshared environmental influences on sleep quality, whilst controlling for genetic and shared environmental effects in a sample of 380 monozygotic twins (mean age 19.8 years, SD=1.26, range=18-22 years). Participants completed the Pittsburgh Sleep Quality Index and questionnaires assessing several candidate "environmental" measures. When controlling for genetic and shared environmental effects, within monozygotic twin-pair differences in sleep quality were associated with within monozygotic twin-pair differences in general health for males (β=1.56, p<.001) and relationship satisfaction for females (β=1.01, p<.05). For the remaining environmental measures the results suggest that these seemingly "environmental" influences are actually in part dependent on genetics and/or the shared environment. These findings give insight into how specific environments affect sleep and the possible mechanisms behind these associations.

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Section: Associations Between Sleep and Environmentsupporting

confidence: 90%

Nonshared Environmental Influences on Sleep Quality: A Study of Monozygotic Twin Differences

et al. 2011

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“…Furthermore, contrary to much of the previous literature (for example, see 2) we found no sex differences in sleep quality. Whilst this finding was unexpected, this result conforms with other reports which have not found evidence for statistically significant sex differences in global sleep quality score measured by the PSQI (59)(60)(61)(62). An additional limitation regards our use of twins in the present study.…”

Section: Limitationssupporting

confidence: 83%

Dependent negative life events and sleep quality: An examination of gene–environment interplay

Barclay¹,

Eley²,

Rijsdijk³

et al. 2011

Sleep Medicine

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“…Generally, normal persons and mild OSAHS patients show five stages of sleep [rapid eye movement (REM), stages 1 and 2, stages 3 and 4 (SWS)], and severe OSAHS patients show little SWS. Therefore, in severe OSAHS patients, sleep efficiency (SWS/TST) could be decreased (Landolt et al 1996;Valladares et al 2008).The conventional PSG scoring is complicated and cannot be done in real time. Particularly, at least eight electrodes in addition to those for electrooculogram (EOG) and chin electromyogram (chin EMG) are needed on the scalp for sampling EEG signals to assess the sleep stage.…”

mentioning

confidence: 99%

mentioning

confidence: 99%

A Novel EEG Index for Evaluating the Sleep Quality in Patients with Obstructive Sleep Apnea-Hypopnea Syndrome

Ohisa

Ogawa

Murayama

et al. 2011

Tohoku J. Exp. Med.

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Obstructive sleep apnea-hypopnea syndrome (OSAHS) is a highly prevalent sleep disorder characterized by recurrent episodes of oxygen desaturation during sleep, decreased sleep quality, and excessive daytime sleepiness. A basic method of evaluating sleep quality is polysomnography (PSG) where sleep stages are identified from the electroencephalogram (EEG), electrooculogram and chin electromyogram. The implementation of PSG is limited to sleep laboratories because this test is rather complicated to perform and quite time-consuming to analysis, requiring skilled technicians. Development of simple alternative methods to PSG could enable sleep tests to be performed at home. Our study aimed to identify simple measures for evaluating the sleep quality. We focused on a simple index, entropy, which is derived from power spectrum of EEG signals throughout the night, and reflects the dynamics of EEG signals, and examined whether the entropy of EEG reflects the sleep quality of OSAHS. The EEG signals for the analysis of EEG entropy were recorded from the temple area. The EEG entropy was compared with the sleep quality by traditional approaches of EEG from PSG in 58 OSAHS patients and 8 healthy volunteers. The EEG entropy in each subject showed the negative values and fluctuated during sleep. There was a significant correlation between the EEG entropy and the sleep quality (r = 0.626, p < 0.001); namely, the amplitude of the fluctuation was increased with the increase in the sleep quality. We therefore propose that the EEG entropy could be useful for evaluating the sleep quality of OSAHS. Obstructive sleep apnea-hypopnea syndrome (OSAHS) is a highly prevalent sleep disorder characterized by recurrent upper airway obstruction during sleep leading to hypoxemia and sleep fragmentation. This disease has many potential consequences including excessive daytime sleepiness, neurocognitive deterioration, endocrinologic and metabolic effects, and decreased sleep quality (Guilleminault et al. 1976). Moreover, OSAHS patients are at increased risk for vascular events, which represent the greatest morbidity and mortality of all associated complications (Jennum and Riha 2009).The sleep quality has been evaluated as the sleep efficiency [slow wave sleep (SWS)/total sleep time (TST)] by the manual scoring approaches of PSG as the gold standard for the diagnosis of OSAHS (Rechtschaffen and Kales 1968). Generally, normal persons and mild OSAHS patients show five stages of sleep [rapid eye movement (REM), stages 1 and 2, stages 3 and 4 (SWS)], and severe OSAHS patients show little SWS. Therefore, in severe OSAHS patients, sleep efficiency (SWS/TST) could be decreased (Landolt et al. 1996;Valladares et al. 2008).The conventional PSG scoring is complicated and cannot be done in real time. Particularly, at least eight electrodes in addition to those for electrooculogram (EOG) and chin electromyogram (chin EMG) are needed on the scalp for sampling EEG signals to assess the sleep stage. Moreover, the visual scoring of the EEG is time-consuming and s...

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Sex differences in cardiac sympathovagal balance and vagal tone during nocturnal sleep

Cited by 36 publications

References 27 publications

Nonshared Environmental Influences on Sleep Quality: A Study of Monozygotic Twin Differences

Nonshared Environmental Influences on Sleep Quality: A Study of Monozygotic Twin Differences

Dependent negative life events and sleep quality: An examination of gene–environment interplay

A Novel EEG Index for Evaluating the Sleep Quality in Patients with Obstructive Sleep Apnea-Hypopnea Syndrome

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