Sleep environments and sleep physiology: A review

Troynikov, Olga; Watson, Christopher; Nawaz, Nazia

doi:10.1016/j.jtherbio.2018.09.012

Cited by 142 publications

(104 citation statements)

References 95 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…1 Individual differences in sleep quality, duration, and patterns have been associated with numerous variables, including sex, age, genetics, body size, occupation, mental and physical illness status, and cultural and environmental factors. 2 Furthermore, growing evidence suggests that inadequate sleep and sleep disorders contribute to the aetiology of metabolic, psychiatric and neurodegenerative conditions. [3][4][5] Epidemiological studies of sleep have focused on a few measurable traits, such as sleep duration, snoring, chronotype, and daytime dozing, and diseases such as insomnia and sleep apnoea.…”

Section: Introductionmentioning

confidence: 99%

Inference of causal relationships between sleep-related traits and 1,527 phenotypes using genetic data

García-Marín

Campos

Martin

et al. 2020

Preprint

View full text Add to dashboard Cite

Study Objective. Sleep is essential for both physical and mental health.There is an increasing interest in understanding how different factors shape individual variation in sleep duration, quality and patterns, or confer risk for sleep disorders. The present study aimed to identify novel causal relationships between sleep-related traits and other phenotypes, using a genetics-driven hypothesis-free approach not requiring longitudinal data. Methods. We used genetic data and the latent causal variable (LCV) method to screen the phenome and infer causal relationships between seven sleep-related traits (insomnia, daytime dozing, easiness of getting up in the morning, snoring, sleep duration, napping, and morningness) and 1,527 different phenotypes. Results. We identify 84 significant causal relationships. Among other findings, poor health of musculoskeletal and connective tissue disorders increase insomnia risk and reduce sleep duration; depression-related traits increase insomnia and daytime dozing; insomnia, napping and snoring are affected by obesity and cardiometabolic traits and diseases; and working with asbestos, thinner, or glues increases insomnia, potentially through an increased risk of respiratory disease. Conclusion. Overall, our results indicate that changes in sleep variables are predominantly the consequence, rather than the cause, of other underlying phenotypes and diseases. These insights could inform the design of future epidemiological and interventional studies in sleep medicine and research.

show abstract

Section: Introductionmentioning

confidence: 99%

Inference of causal relationships between sleep-related traits and 1,527 phenotypes using genetic data

García-Marín

Campos

Martin

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…Good sleep is a prerequisite for physical function (including promoting growth, learning and cognitive development), immunity 1 , and poor or insufficient sleep is currently an important health problem 2 . Currently, 15–35% of adults suffer from regular sleep disruptions, such as difficulties in initiating sleep, insufficient sleep time or frequent waking during the night 3 . Sleep problems may damage daytime lives by feeling exhausted and making troubles 4 .…”

Section: Introductionmentioning

confidence: 99%

Ganoderma lucidum promotes sleep through a gut microbiota-dependent and serotonin-involved pathway in mice

Yao

Wang

Jiang

et al. 2021

Sci Rep

View full text Add to dashboard Cite

Ganoderma lucidum is a medicinal mushroom used in traditional Chinese medicine with putative tranquilizing effects. However, the component of G. lucidum that promotes sleep has not been clearly identified. Here, the effect and mechanism of the acidic part of the alcohol extract of G. lucidum mycelia (GLAA) on sleep were studied in mice. Administration of 25, 50 and 100 mg/kg GLAA for 28 days promoted sleep in pentobarbital-treated mice by shortening sleep latency and prolonging sleeping time. GLAA administration increased the levels of the sleep-promoting neurotransmitter 5-hydroxytryptamine and the Tph2, Iptr3 and Gng13 transcripts in the sleep-regulating serotonergic synapse pathway in the hypothalamus during this process. Moreover, GLAA administration reduced lipopolysaccharide and raised peptidoglycan levels in serum. GLAA-enriched gut bacteria and metabolites, including Bifidobacterium, Bifidobacterium animalis, indole-3-carboxylic acid and acetylphosphate were negatively correlated with sleep latency and positively correlated with sleeping time and the hypothalamus 5-hydroxytryptamine concentration. Both the GLAA sleep promotion effect and the altered faecal metabolites correlated with sleep behaviours disappeared after gut microbiota depletion with antibiotics. Our results showed that GLAA promotes sleep through a gut microbiota-dependent and serotonin-associated pathway in mice.

show abstract

“…It has been demonstrated that insufficient sleep and poor sleep quality are associated with physical, physiological, and psychological impairments [1]. The sleep environment, including sleepwear, bedding, and the mattress, are considered factors conducive to better sleep quality [2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

“…Sleepwear improves the quality of sleep by preventing the body temperature from dropping sharply [2,6]. Previous studies have reported that sleepwear affects body temperature during sleep.…”

Section: Introductionmentioning

confidence: 99%

Preliminary Study on the Effect of Sleepwear on Objective and Subjective Sleep Quality

Lee

Jeon

et al. 2020

Chronobiol Med

View full text Add to dashboard Cite

Objective: This preliminary study examined whether sleepwear affected sleep parameters using nocturnal polysomnography (nPSG) and self-reported questionnaire in healthy adults. Methods: Fourteen participants were recruited (nine females and five males; mean age, 29.43±8.58 years). nPSG was conducted for three consecutive nights, including the adaptation night, and self-reported questionnaires about sleepwear and sleep parameters were completed. On the second and third nights after the adaption night, participants were randomly assigned to a group wearing the DPV576 experimental sleepwear (ES) on the first night with the control sleepwear (CS) worn the following night, or a group wearing the two types of sleepwear in the reverse order. The objective and subjective sleep parameters for each night were compared using the paired t-test. Results: Objective sleep variables were not significantly different between the two types of sleepwear. However, total sleep time (TST) on nPSG tended to be higher when participants wore the ES than the CS (p=0.06) in the results of nine who reported relatively high sleep quality (Pittsburgh Sleep Quality Index <5). When wearing the ES all participants reported more frequent dream (p=0.03), and less discomfort caused by sleepwear while lying down and moving in bed (i.e., tossing and turning), than the CS (p=0.04). Conclusion: These results suggest that sleepwear type might affect objective sleep parameters (e.g., TST on nPSG) and be associated with changes in subjective sleep measures, such as the frequency of dreams and the discomfort caused by tossing and turning.

show abstract

Sleep environments and sleep physiology: A review

Cited by 142 publications

References 95 publications

Inference of causal relationships between sleep-related traits and 1,527 phenotypes using genetic data

Inference of causal relationships between sleep-related traits and 1,527 phenotypes using genetic data

Ganoderma lucidum promotes sleep through a gut microbiota-dependent and serotonin-involved pathway in mice

Preliminary Study on the Effect of Sleepwear on Objective and Subjective Sleep Quality

Contact Info

Product

Resources

About