Dreamless: the silent epidemic of REM sleep loss

Naiman, Rubin

doi:10.1111/nyas.13447

Cited by 32 publications

(22 citation statements)

References 51 publications

(73 reference statements)

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“…This is apparently linked to the hormonal milieu of the luteal phase, which is characterised by the increased secretion of progesterone (the latter may be implicated in the consolidation of memories [18] and may also alter dreaming during pregnancy [19,20]) but also of altered dynamics in other hormones (see below). Dream recall is reported to be highest for REM dreams [21], thus our finding might be of further importance, given the possible changes in REM sleep frequency, noted as a result of current lifestyle conditions [22]. Cortisol may also have an impact on how emotions are experienced in the process of dream formation [23]; that is, during sleep, cortisol levels peak in the REM phases [23].…”

Section: Discussionmentioning

confidence: 88%

Dream Recall and Content versus the Menstrual Cycle: A Cross-Sectional Study in Healthy Women

et al. 2019

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The association between sleep and the menstrual cycle has been scarcely studied. This study aimed to investigate the association between dream recall and content and the menstrual cycle among a large sample of young women. To this aim, 944 women were asked about their day of menstrual cycle, whether they remembered the previous night’s dreams and if they did so to describe the dream content as pleasant or unpleasant. A total of 378 women recalled the previous nights’ dreams, with 199 reporting pleasant dream affect/content and 179 reporting unpleasant dream content. In women who recalled their dreams, there was an association of pleasant dream content with the luteal phase (p = 0.038). In conclusion, in women, the hormonal milieu of the luteal phase may influence dream content.

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Section: Discussionmentioning

confidence: 88%

Dream Recall and Content versus the Menstrual Cycle: A Cross-Sectional Study in Healthy Women

et al. 2019

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“…Previous studies reported that alcohol consumption could be an important confounding factor especially for the positive association between long sleep and chronic disease [14,15]. This is because alcohol consumption as well as certain medications increase duration of light sleep at the expense of deep reparative sleep [37]. Qatar is a conservative Muslim country, where alcohol consumption is socially unsanctioned (taboo) practice, which could explain the weak (positive) and statistically non-significant association between long sleep and chronic disease status observed in this population.…”

Section: Discussionmentioning

confidence: 99%

The relationship between sleep duration and health status in Qatar’s population

Althani

Khaled

2019

Preprint

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Background: Knowledge of correlates of sleep duration is limited to developed countries with dearth of studies conducted in countries of the Eastern Mediterranean Region (EMR). Qatar is a rapidly developing country in the EMR with three distinct population groups Qatari nationals (QNs) or natives; higher income white-collar expatriates (WCEs), and blue-collar workers (BCEs) who are mostly male laborers from South Asia. The. The aim of this study was to explore the association between sleep duration and chronic health conditions in a representative sample of Qatar’s general population. Methods: A total of 2,523 surveys were completed over the phone by trained interviewers; a final sample of 2,499 was retained. Descriptive and multinomial logistic regression analyses accounting for complex survey design were conducted in STATA 14. All regression models were adjusted for age, gender and social group using an alpha value of 0.05 for statistical significance. Results: The overall prevalence of sleeping < 7hrs was observed at 54%, while 42% of respondents reported sleeping 7-8hrs and 4% reported sleeping > 8hrs in the general population of Qatar. Participants who reported the poorest health status had increased odds of sleeping < 7hrs (OR 1.38, P=0.04) compared with those who reported good health after adjustment for covariates. Additionally, participants with two or more diagnosed illnesses had higher odds of sleeping < 7hrs (OR 1.58, P=0.02) compared to healthy participants. An increase in odds of sleeping < 7hrs was also observed in participants with obesity (OR 1.58, P=0.02). Conclusion: Qatar’s population exhibited high prevalence of short sleep duration, which was significantly associated with poor rated health, obesity, and chronic illness independent of age, gender, or social class.

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“…Sleep typically fragments for mammals at the completion of a sleep cycle, which is the stereotypical progression from a vigilant state to REM or NREM sleep, or the dreaming and homeostatic (i.e., deep sleep) states, respectively. However, it should be noted that REM sleep carries a potentially significant homeostatic value (Ephron & Carrington, 1966;Naiman, 2017;Pandey & Kar, 2018;Siegel, 2011). Nonetheless, when sleep cycles-and sleep architecture, in general-are disrupted, as evident by fragmented sleep, homeostasis is compromised (Reid & Zee, 2011).…”

Section: Sleep and Homeostasismentioning

confidence: 99%

Using a Homeogram to Detect Sleep in Free-living Animals

Gaidica

Studd

Wishart

et al. 2021

Preprint

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Sleep is appreciated as a behavior critical to homeostasis, performance, and fitness. Yet, most of what we know about sleep comes from humans or controlled laboratory experiments. Assessing sleep in wild animals is challenging, as it is often hidden from view, and electrophysiological recordings that define sleep states are difficult to obtain. Accelerometers have offered great insight regarding gross movement, although ambiguous quiescent states like sleep have been largely ignored, limiting our understanding of this ubiquitous behavior. We developed a broadly applicable sleep detection method called a homeogram that can be applied to accelerometer data collected from wild animals. We applied our methodology to detect sleep in free-ranging North American red squirrels (Tamiasciurus hudsonicus) in a region that experiences drastic seasonal shifts in light, temperature, and behavioral demands. Our method characterized sleep in a manner consistent with limited existing studies and expanded those observations to provide evidence that red squirrels apply unique sleep strategies to cope with changing environments. Applying our analytical strategy to accelerometer data from other species may open new possibilities to investigate sleep patterns for researchers studying wild animals.

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Dreamless: the silent epidemic of REM sleep loss

Cited by 32 publications

References 51 publications

Dream Recall and Content versus the Menstrual Cycle: A Cross-Sectional Study in Healthy Women

Dream Recall and Content versus the Menstrual Cycle: A Cross-Sectional Study in Healthy Women

The relationship between sleep duration and health status in Qatar’s population

Using a Homeogram to Detect Sleep in Free-living Animals

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