Готові списки джерел за темами / Effects of sleep

Добірка наукової літератури з теми "Effects of sleep"

Автор: Grafiati
Опубліковано: 10 грудня 2022
Оновлено: 29 січня 2023

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Статті в журналах з теми "Effects of sleep"

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Sprott, Richard L. "Sleep effects." Experimental Gerontology 26, no. 2-3 (January 1991): 215. http://dx.doi.org/10.1016/0531-5565(91)90013-c.

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2

Bonnet, Michael H. "Differentiating sleep continuity effects from sleep stage effects." Journal of Sleep Research 9, no. 4 (December 18, 2000): 403–4. http://dx.doi.org/10.1046/j.1365-2869.2000.0215a.x.

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3

Sundelin, Tina, Mats Lekander, Kimmo Sorjonen, and John Axelsson. "Negative effects of restricted sleep on facial appearance and social appeal." Royal Society Open Science 4, no. 5 (May 2017): 160918. http://dx.doi.org/10.1098/rsos.160918.

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The importance of assessing evolutionarily relevant social cues suggests that humans should be sensitive to others' sleep history, as this may indicate something about their health as well as their capacity for social interaction. Recent findings show that acute sleep deprivation and looking tired are related to decreased attractiveness and health, as perceived by others. This suggests that one might also avoid contact with sleep-deprived, or sleepy-looking, individuals, as a strategy to reduce health risk and poor interactions. In this study, 25 participants (14 females, age range 18–47 years) were photographed after 2 days of sleep restriction and after normal sleep, in a balanced design. The photographs were rated by 122 raters (65 females, age range 18–65 years) on how much they would like to socialize with the participants. They also rated participants' attractiveness, health, sleepiness and trustworthiness. The results show that raters were less inclined to socialize with individuals who had gotten insufficient sleep. Furthermore, when sleep-restricted, participants were perceived as less attractive, less healthy and more sleepy. There was no difference in perceived trustworthiness. These findings suggest that naturalistic sleep loss can be detected in a face and that people are less inclined to interact with a sleep-deprived individual.
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Bonnet, M. H. "Cognitive Effects of Sleep and Sleep Fragmentation." Sleep 16, suppl_8 (December 1993): S65—S67. http://dx.doi.org/10.1093/sleep/16.suppl_8.s65.

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Cavaglia, F., D. Pires-Barreira, L. Paula, A. Matos-Pires, and F. Arriaga. "Sleep deprivation effects on subjective sleep clomplaints." European Psychiatry 17 (May 2002): 209. http://dx.doi.org/10.1016/s0924-9338(02)80892-6.

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6

Ebrahim, Irshaad O., Colin M. Shapiro, Adrian J. Williams, and Peter B. Fenwick. "Alcohol and Sleep I: Effects on Normal Sleep." Alcoholism: Clinical and Experimental Research 37, no. 4 (January 24, 2013): 539`—549. http://dx.doi.org/10.1111/acer.12006.

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Holsboer-Trachsler, E., U. Hemmeter, and E. Seifritz. "Sleep-EEG and neuroendocrine effects of sleep deprivation." Biological Psychiatry 42, no. 1 (July 1997): 8S—9S. http://dx.doi.org/10.1016/s0006-3223(97)86895-3.

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Bonnet, Michael H., and Donna L. Arand. "Clinical effects of sleep fragmentation versus sleep deprivation." Sleep Medicine Reviews 7, no. 4 (August 2003): 297–310. http://dx.doi.org/10.1053/smrv.2001.0245.

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Rimmele, Ulrike, and Arielle Tambini. "Sleep, Sleep Alterations, Stress—Combined Effects on Memory?" Sleep 38, no. 12 (December 2015): 1835–36. http://dx.doi.org/10.5665/sleep.5214.

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Pagel, J. F. "MEDICATION EFFECTS ON SLEEP." Dental Clinics of North America 45, no. 4 (October 2001): 855–65. http://dx.doi.org/10.1016/s0011-8532(22)00496-7.

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Дисертації з теми "Effects of sleep"

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Aeschbach, Daniel. "Dynamics of the human sleep electroencephalogram : effects of hypnotics, sleep deprivation, and habitual sleep length /." [S.l.] : [s.n.], 1995. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=11177.

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Dopp, Austin. "Relative Effects of Sleep Hygiene Behavior and Physical Exercise on Sleep Quality." DigitalCommons@USU, 2017. http://digitalcommons.usu.edu/etd/6837.

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Анотація:
Numerous studies have shown the relationship between sleep and overall health. A common measure of sleep is sleep quality which has been shown to be influenced by a variety of factors such as physical activity, diet, stress, social engagement, cognitive stimulating, and sleep hygiene behaviors. Data was analyzed from a previous study to determine whether trying to change one’s sleep would improve sleep quality and if this was more effective than physical exercise. A group of 104 individuals, randomized to the treatment group, were asked to log their daily activities, via smartphone app, within these six behavioral domains for six months. Behavioral change scores were computed as the difference between six-month behavioral level and baseline behavioral level, for each of the six domains. Factor analysis that revealed that two latent factors explained the majority of the variance in behavioral change, with a "Physical Body Related behavior change” factor ("Physical") and a "Mental/Emotional" behavior change factor ("Mental"). In linear regression models, Physical significantly predicted sleep quality improvement over the six months (p=.029), but Mental did not (p=.606). In the middle aged adults in this study, the behavioral change pattern of increasing diet quality and physical activity, significantly predicted improvements in sleep quality. While efforts to improve one's cognitive and emotional well-being were not found to predict to sleep improvement, they still may be important for cognitive health overall. This information can prove useful as different interventions and programs are implemented to improve sleep in the population.
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Wintner, Birgit. ""Night, night, sleep tight" : Effects of exercise and light on sleep physiology." Thesis, Högskolan i Skövde, Institutionen för biovetenskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-15510.

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Kim, Yee Yan. "Effects of sleep loss and sleep recovery on mood and mood regulation." Thesis, Kim, Yee Yan (2018) Effects of sleep loss and sleep recovery on mood and mood regulation. PhD thesis, Murdoch University, 2018. https://researchrepository.murdoch.edu.au/id/eprint/41850/.

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Acute sleep deprivation has been found to cause a wide range of negative emotional consequences. However, less is known about how sleep-deprived individuals cope emotionally after such a drastic change, or about the timeframe it takes to recover from the emotional consequences of sleep deprivation. This thesis addresses these questions, as well as investigating factors that might buffer the effects of sleep deprivation and promote subsequent recovery. After three days of baseline recording, a sample of 63 healthy undergraduates underwent 24 hours of sleep deprivation in a naturalistic setting. Their recovery, in terms of mood, mood regulation and cognitive alertness, was tracked for the next three days. To account for any effect of overnight activities, the participants also recorded their perceived exertion and enjoyment levels for activities undertaken during the sleep deprivation period. On each of the three recovery days, they also recorded their use of recovery strategies (i.e., daytime napping, night sleep extension, caffeine consumption). Investigation 1 demonstrated that sleep deprivation had greater deleterious effects on positive affect than negative affect, and created an indeterminate state where the sleep-deprived person rejected their worsened mood yet did not act to repair it. Investigation 2 showed that a large degree of emotional recovery was achieved one day after sleep deprivation, and also revealed evidence that older age might mitigate against the effects of sleep deprivation and accelerate subsequent recovery. Collectively, Investigations 2 and 3 identified behavioural factors that might mitigate sleep deprivation effects and enhance subsequent emotional recovery, within a naturalistic setting. For the effects of sleep deprivation, the results of path analyses revealed that higher perceived physical and mental exertion during overnight activities predicted less emotional and cognitive decline immediately after sleep deprivation, even after controlling for perceived enjoyment of activities. During the recovery period, daytime napping predicted greater recovery from negative affect the following day, whereas night sleep extension and caffeine consumption did not; positive affect recovery was not associated with use of any strategy. Investigation 4 showed that the recovery detected one day after sleep deprivation in Investigation 2 was largely maintained three days after sleep deprivation; however, positive affect did not fully recover in this timeframe, and delayed changes were detected in fatigue and the mood maintenance aspect of regulation. Investigation 5 showed that mood maintenance became less responsive to mood immediately after sleep deprivation, relative to the baseline phase, and that sleep deprivation also attenuated the positive association between mood repair and mood the following day, as compared to baseline. This research demonstrated that 24 hours of sleep deprivation not only caused severe mood deterioration, it also impaired the ability to regulate mood by disrupting the usual responsiveness of mood regulation to mood input and regulatory outcomes. The research also provided support for many of Mayer and Stevens’ (1994) tenets of mood regulation, and suggested some important developments to their theory, including the need for greater attention to low positive affect in the context of sleep deprivation and its potential direct effects on mood regulation.
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Wilson, Shannae Louise. "Effects on sleep-state organisation of a behavioural intervention for infant sleep disturbance." Thesis, University of Canterbury. Psychology, 2013. http://hdl.handle.net/10092/8044.

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Establishing healthy sleep-wake patterns early in infancy is vitally important as sleep problems can persist. Behavioural sleep interventions such as the parental presence procedure are well established and have been found to improve infant sleep as determined by parent report. The exact nature of this improvement is, however, unclear. Sleep consolidation, sleep-state organisation, and self-soothing are thought likely to change after intervention; however, no known research has comprehensively determined which of these variables change as infant sleep changes in response to intervention. Three participants aged between 7 to 11 months who met the criteria for Infant Sleep Disturbance (ISD) were referred by a Health Centre and the parental presence behavioural sleep intervention was implemented. Parental report and videosomonography (VSG) data were used to measure sleep before and after intervention. While parental report is limited in that parents can only report what they can hear and/or see, VSG offers a tool that can be used to measure sleep-state organisation, state changes, and periods when the infant is awake and quiet. The present research found that infants’ sleep became more consolidated resulting in fewer sleep-wake transitions and night wakings. Infants who had difficulties initiating sleep on their own also demonstrated decrease in Sleep Onset Delay (SOD). Furthermore, infants were found to sleep through a greater number of sleep-state transitions and sleep for a greater duration of time before waking. Collectively this research provides some evidence that changing parental behaviours to those that promote self-initiation through self-soothing and consistency, can change sleep-state organisation and improve self-soothing.
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Alamian, Arsham, Liang Wang, Amber M. Hall, Melanie Pitts, and Joseph Ikekwere. "Infant Sleep Problems and Childhood Overweight: Effects of Three Definitions of Sleep Problems." Digital Commons @ East Tennessee State University, 2016. https://dc.etsu.edu/etsu-works/1375.

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Sleep problems have been defined using a variety of definitions. No study has assessed the longitudinal association between infant sleep problems and childhood overweight or obesity using existing definitions of sleep problems. This study used longitudinal data (n=895) from the multi-site Study of Early Child Care and Youth Development (SECCYD) to investigate the effects of infant sleep problems on childhood weight status in Grade 6. Infants with sleep problems in Phase I (1991) and with complete data through Phase III (2004) of SECCYD were included. Sleep problems were assessed using maternal reports of night wakings and duration of a waking episode. Sleep problems were defined using Richman (1981), Lozoff et al. (1985), and Zuckerman et al. (1987) definitions. Multinomial logistic regression was used to examine the association between sleep problems during infancy and childhood weight status in Grade 6 while controlling for birth weight, race, sex, breastfeeding, maternal poverty, family structure, and maternal education. After adjusting for all covariates, children with a history of sleep problems were found to be overweight in Grade 6 using Zukerman et al. (Odds ratio (OR)=1.68; 95% confidence interval (CI): 1.11–2.55) and Richman (OR=1.76; 95% CI: 1.05–2.97) definitions, but not using Lozoff et al. definition. Infant sleep problems were not found to be associated with being obese. The study found differential effects of infant sleep problems on childhood overweight in Grade 6 per different definitions of sleep problems. Findings highlight the need to construct a single definition of infant sleep problems.
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Andersson, Pernilla. "Sleep and Its Effects on Synaptic Strength." Thesis, Högskolan i Skövde, Institutionen för biovetenskap, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-11342.

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Shaw, Aaron Robert James. "Sleep, anxiety and the effects on cognition." Thesis, University of Warwick, 2018. http://wrap.warwick.ac.uk/114458/.

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Poor sleep and high levels of anxiety have a detrimental effect on cognitive functioning. However, very little is known about what cognitive functions are affected by poor sleep or high levels of anxiety and if some are more affected than others. This thesis informs the understanding of poor sleep and anxiety with a focus on generalised anxiety disorder and how they affect specific cognitive functioning namely Attention and Working Memory. Chapter one is a systematic literature review of the qualitative research exploring how sleep deprivation impacts on the cognitive functioning of people with Autistic Spectrum Conditions (ASC) and the principal challenges associated with trying to study the impact of sleep deprivation in people with ASC. Following both database and manual searches, fifteen studies were included and reviewed. The review highlights the suggestions that poor sleep has a detrimental effect on the cognitive functioning of people with ASC. Also, the use of objective and subjective measures of sleep was discussed to help in the early detection of these problems and considerations of carers and families was reviewed. Future research/clinical implications are discussed. Chapter two is a quantitative research study that investigated the combined effects of GAD and poor sleep on Attention and Working Memory. Sleep quality and quantity were assessed using subjective and objective measures of sleep. Attention and Working Memory was measured using various neuropsychological measures. Groups were compared for differences in cognitive scores using a non-parametric test. Relationships between GAD-7 scores, sleep quality/quantity and cognition scores were investigated using correlation analyses. Implications for future research and clinical implications are discussed. Chapter three is a reflective account, exploring the role of reflexivity in personal and professional development during the research process.
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Knox, Joshua Adam. "Context effects examined imagination, sleep experiences, dissociation, and schizotypy /." Diss., Online access via UMI:, 2007.

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Winans, Shannon Marie. "Effects of Total Sleep Time and Sleep Schedule Alignment on Cognitive Functioning in Adolescents." Thesis, The University of Arizona, 2015. http://hdl.handle.net/10150/579039.

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Recently, adolescent sleep research has produced conflicting results about the effect of sleep on cognition in this age group. Some have proposed that adolescents possess a mechanism for cognitive resiliency that allows their cognitive performance to remain stable despite restricted sleep. Others maintain that the conflicting outcomes stem from the sleep/wake parameters traditionally used in sleep research that are rarely adjusted to allow for natural adolescent sleep rhythms, which may be masking the true effect of inadequate sleep on adolescent cognitive functioning. This study aims to elucidate these two theories by comparing both sleep time and sleep rhythm alignment with cognitive functioning. We tracked 16 adolescents' sleep for one week and determined their sleep time and whether they were sleeping in alignment with their natural sleep rhythms. Both of these variables were then compared to subjects' performance on an n-back task of working memory on Monday morning. The results showed that neither sleep amount nor natural sleep rhythm alignment were able to predict any measure of the working memory test. These results support the theory of a cognitive resiliency mechanism in adolescents, and do not support sleep rhythm misalignment as a significant confounding variable in previous adolescent sleep studies.
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Книги з теми "Effects of sleep"

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1960-, Kushida Clete Anthony, ed. Sleep deprivation: Clinical issues, pharmacology, and sleep loss effects. New York: Marcel Dekker, 2005.

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Pedr, Fulke, and Vaughan Sior, eds. Sleep deprivation: Causes, effects, and treatment. Hauppauge, NY: Nova Science Publishers, 2009.

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Bianchi, Matt T. Sleep deprivation and disease: Effects on the body, brain and behavior. New York: Springer, 2014.

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Sleep deprivation, stimulant medications, and cognition. Cambridge: Cambridge University Press, 2012.

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5

Brooks, Dina. The effects of obstructive sleep apnea on blood pressure. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1997.

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6

Plihal, Werner. Differential effects of early and late nocturnal sleep on the consolidation of declarative and nondeclarative memory. Frankfurt am Main: P. Lang, 1996.

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Balkin, T. Effects of sleep schedules on commercial motor vehicle driver performance. Washington, D.C: U.S. Dept. of Transportation, Federal Motor Carrier Safety Administration, 2000.

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Differental effects of early and late nocturnal sleep on the consolidation of declaritive and nondeclarative memory. Frankfurt am Main: P. Lang, 1996.

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9

Mertens, Henry W. The effects of age, sleep deprivation, and altitude on complex performance. Washington, D.C: U.S. Dept. of Transportation, Federal Aviation Administration, Office of Aviation Medicine, 1985.

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10

Morgan, Kevin. Sleep and aging: A research-based guide to sleep in later life. Baltimore: Johns Hopkins University Press, 1987.

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Частини книг з теми "Effects of sleep"

1

Agargun, Mehmet Yucel, and Hanefi Ozbek. "Drug Effects on Dreaming." In Sleep and Sleep Disorders, 256–61. Boston, MA: Springer US, 2006. http://dx.doi.org/10.1007/0-387-27682-3_29.

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2

Nagayama, Haruo, Germaine Cornélissen, S. R. Pandi-Perumal, and Franz Halberg. "Time-Dependent Psychotropic Drug Effects." In Sleep and Sleep Disorders, 55–94. Boston, MA: Springer US, 2006. http://dx.doi.org/10.1007/0-387-27682-3_7.

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Moller, Henry J., Colin M. Shapiro, and Leonid Kayumov. "Effects of Psychotropics on Driving Performance." In Sleep and Sleep Disorders, 146–50. Boston, MA: Springer US, 2006. http://dx.doi.org/10.1007/0-387-27682-3_16.

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Verster, Joris C., Marinus N. Verbaten, and Edmund R. Volkerts. "Next-Day Residual Effects of Sleeping Medications on Driving Ability." In Sleep and Sleep Disorders, 188–200. Boston, MA: Springer US, 2006. http://dx.doi.org/10.1007/0-387-27682-3_21.

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Itoh, Hiroshi, Motohiro Ozone, and Mitsuo Sasaki. "Sleep Facilitating Effects of Vitamin B12." In Sleep—Wake Disorders, 175–82. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4899-0245-0_19.

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Cordoza, Makayla, Christopher W. Jones, and David F. Dinges. "Biologic Effects of Disrupted Sleep." In Sleep in Critical Illness, 69–90. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06447-0_5.

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Billiard, Michel. "Sleep in Narcolepsy and the Effects of Modafinil." In Dopamine and Sleep, 235–53. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46437-4_11.

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Shrivastava, Deepak. "Beneficial Effects of Continuous Positive Airway Pressure Therapy." In Dental Sleep Medicine, 225–31. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-10646-0_9.

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Summa, Keith C., and Fred W. Turek. "Biomedical Effects of Circadian Rhythm Disturbances." In Impact of Sleep and Sleep Disturbances on Obesity and Cancer, 77–101. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-9527-7_4.

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Ruigt, Gé S. F., and Joop van Gerven. "Effects of Medication on Sleep and Wakefulness." In Sleep Disorders in Neurology, 271–93. Oxford, UK: Wiley-Blackwell, 2010. http://dx.doi.org/10.1002/9781444315158.ch22.

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Тези доповідей конференцій з теми "Effects of sleep"

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Vinckenbosch, F., J. Asin, N. De Vries, P. E. Vonk, G. J. Lammers, S. Overeem, H. Janssen, et al. "Effects of solriamfetol on real-world driving performance in participants with excessive daytime sleepiness associated with obstructive sleep apnoea." In Sleep and Breathing 2021 abstracts. European Respiratory Society, 2021. http://dx.doi.org/10.1183/23120541.sleepandbreathing-2021.17.

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2

Muzumdar, Neel, Jennifer Buckman, Alexander Sokolovsky, Anthony Pawlak, Andrea Spaeth, Kristina Jackson, and Helene White. "Examining the Effects of Cannabis Use on Sleep Using Daily Diary Data." In 2022 Annual Scientific Meeting of the Research Society on Marijuana. Research Society on Marijuana, 2022. http://dx.doi.org/10.26828/cannabis.2022.02.000.40.

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BACKGROUND: College students in the United States widely report using alcohol and cannabis as a sleep aid. Given the prevalence of sleep problems and insufficient sleep in this population, the high incidence in use and co-use of cannabis and alcohol is unsurprising. Current evidence does not support alcohol as an effective sleep aid and research on the relationship of cannabis to sleep is limited and inconsistent. Furthermore, the majority of current cannabis and sleep studies are limited to retrospective, person-level analyses even though there is a wide range of individual and day-level differences in reactivity to intoxication. PURPOSE: The aim of this study is to examine cannabis and alcohol use and their associations with sleep at both the between-person level (i.e., between-subjects comparison of chronic use behaviors) and within-person level (i.e., day-level comparison of use behaviors). METHOD: This study is a secondary analysis of longitudinal data obtained from a study characterizing the effects of simultaneous alcohol and cannabis use. Participants (n=341) completed surveys up to five times per day during two bursts of 4 weeks (54 days total) that occurred during two consecutive college semesters. Self-reported quantities of cannabis use (as number of uses) and alcohol use (as number of drinks), as well as bedtimes (night) and wake times (morning) were reported. Linear mixed models were conducted in SAS 9.4 to characterize between-person and within-person (person-mean centered) correlations of cannabis or alcohol use and sleep duration. RESULTS: Significant main effects of within-person cannabis (Estimate: 0.019, SE: 0.007, t=2.86, p=0.004) and alcohol (Estimate: -0.0402, SE: 0.0076, t=-5.28, p<0.001) use were found, as was a between-person main effect of average cannabis use (Estimate: 0.038, SE: 0.012, t=3.28, p=0.001) across the full study period. The between-person main effect of average alcohol use was not significant. CONCLUSIONS: The results suggested that generally heavier cannabis users sleep more than their non-using/generally light using counterparts and that they sleep more on nights following heavier use days. Interestingly, the relationship between alcohol and sleep differed between the between-person and within-person levels: alcohol use was dose-dependently associated with reduced sleep duration; however, in this sample, generally heavier alcohol users did not appear to differ in overall sleep duration compared to generally lighter alcohol users. Importantly, this sample included a wide range of substance users, none of whom were in treatment for a cannabis use disorder (CUD) or alcohol use disorder (AUD). Whether these patterns of dose-dependence would be observed over longer time periods or in individuals who meet criteria for CUD or AUD remains to be studied. Future studies will assess the effects of alcohol and cannabis co-use patterns as well as timing of consumption.
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Fanaridis, M., I. Bouloukaki, G. Stathakis, P. Steiropoulos, E. Mauroudi, V. Moniaki, N. Tzanakis, and S. Schiza. "Long term effects of PAP therapy on patients with obstructive sleep apnea (OSA) and chronic obstructive pulmonary disease (COPD) (overlap syndrome)." In Sleep and Breathing 2021 abstracts. European Respiratory Society, 2021. http://dx.doi.org/10.1183/23120541.sleepandbreathing-2021.48.

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Celik, Selman, and Hediye Arslan Ozkan. "Investigation the Effects of Smoking on sleep Quality and Sleep Apnea During Elderly." In ERS International Congress 2018 abstracts. European Respiratory Society, 2018. http://dx.doi.org/10.1183/13993003.congress-2018.pa2071.

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Zhang, Xiaoyan, and Hongjun Xue. "The effects of flash frequency and amount of information in mitigating the effects of fatigue." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002605.

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Fatigue is a crucial factor related to aviation safety and is likely to result in negative impacts in cockpit operation tasks, especially for warning information recognition in emergency situations. The aim of this study was to examine the effects of sleep deprivation induced fatigue on task performance of warning recognition tasks, and how the above effects were moderated by two presentation characteristics of warning information (i.e., flash frequency and amount of information). Nine participants participated in an experiment in which they performed warning recognition tasks under both normal and fatigue conditions. Fatigue condition was induced by one night of sleep deprivation. Flash frequency ranged from 1 to 5 HZ in increments of 1 HZ, while amount of information was indicated by the number of information elements and ranged from 3 to 5. The results indicated that sleep deprivation induced fatigue and overload information amount impaired performance significantly, while flash frequency yielded no significant effect on human performance in fatigue condition. Besides, fatigue interacted with amount of information. Interestingly, in fatigue condition when the information amount raised up to 5, the response time significantly decreased by 100ms compared with 4, while in normal condition the response time increased with the information amount increasing. The findings suggested that fatigue and overload information amount are risk factors of aviation safety, and flash frequency has no mitigating effect under fatigue condition.
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6

Pataka, Athanasia, Niki Batou, Christos Zervas, Alexandra Theodoropoulou, Ifigenia Kassotaki, Vjosana Gosnisti, and Paraskevi Argyropoulou. "Effects of electronic devices use on sleep duration and quality in Greek University students." In ERS/ESRS Sleep and Breathing Conference 2017 abstracts. European Respiratory Society, 2017. http://dx.doi.org/10.1183/23120541.sleepandbreathing-2017.p8.

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Ribeiro, Maria João, João Pedro Guimarães, Joana Filipa Sacramento, and Silvia Conde. "Contribution of carotid body to leptin effects on ventilation and blood pressure in control and obese rats." In ERS/ESRS Sleep and Breathing Conference 2019 abstracts. European Respiratory Society, 2019. http://dx.doi.org/10.1183/23120541.sleepandbreathing-2019.p77.

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Maneyama, Yoshiaki, and Ryogo Kubo. "Effects of Sleep Period Limitation on ONU Power Saving in QoS-Aware Cyclic Sleep Control." In Asia Communications and Photonics Conference. Washington, D.C.: OSA, 2014. http://dx.doi.org/10.1364/acpc.2014.ath3a.150.

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9

"DO MOBILE PHONES AFFECT SLEEP? - Investigating Effects of Mobile Phone Exposure on Human Sleep EEG." In International Conference on Bio-inspired Systems and Signal Processing. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0001061505650569.

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Flores, Krisstopher Richard, Fausta Viccaro, Mauro Aquilini, Stefania Scarpino, Francesco Ronchetti, Paolo Palange, and Alberto Ricci. "Serum levels of brain derived neurotrophic factor (BDNF) in severe obstructive sleep apnea syndrome (OSAS): Effects of CPAP treatment." In ERS/ESRS Sleep and Breathing Conference 2019 abstracts. European Respiratory Society, 2019. http://dx.doi.org/10.1183/23120541.sleepandbreathing-2019.p147.

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Звіти організацій з теми "Effects of sleep"

1

Drummond, Sean P. The Effects of Total Sleep Deprivation and Recovery Sleep on Cognitive Performance and Brain Function. Fort Belvoir, VA: Defense Technical Information Center, August 2004. http://dx.doi.org/10.21236/ada435504.

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2

Gillin, J. C., Sean P. Drummond, and Gregory Brown. The Effects of Total Sleep Deprivation and Recovery Sleep on Cognitive Performance and Brain Function. Fort Belvoir, VA: Defense Technical Information Center, August 2003. http://dx.doi.org/10.21236/ada420120.

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3

Bunn, Sarah, and Lev Tankelevitch. Sleep and Health. Parliamentary Office of Science and Technology, September 2018. http://dx.doi.org/10.58248/pn585.

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A POSTnote that explains what is known about sleep and sleep disorders, the effects of poor sleep on performance, and on physical and mental health. It also describes the role of sleep in the context of public and occupational health, road safety, education and the consumer technology market.
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4

Kelly, Tamsin, S. Gomez, D. Ryman, S. McGeoy, and R. Rubin. Effects of Repeated Doses of Caffeine during 64 Hours of Sleep Deprivation on Subsequent Recovery Sleep. Fort Belvoir, VA: Defense Technical Information Center, December 1998. http://dx.doi.org/10.21236/ada359343.

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5

Drummond, Sean P. PR01 - The Effects of Total Sleep Deprivation and Recovery Sleep on Cognitive Performance and Brain Function. Fort Belvoir, VA: Defense Technical Information Center, August 2006. http://dx.doi.org/10.21236/ada460345.

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6

Stretch, Robert H., and David W. Jamieson. The Effects of Sleep Loss on Individual and Group Performance. Fort Belvoir, VA: Defense Technical Information Center, May 1990. http://dx.doi.org/10.21236/ada226963.

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7

Germain, Anne. Effects of Dose-Dependent Sleep Disruption on Fear and Reward Responses. Fort Belvoir, VA: Defense Technical Information Center, April 2013. http://dx.doi.org/10.21236/ada577364.

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8

Germain, Anne. Effects of Dose-Dependent Sleep Disruption on Fear and Reward Responses. Fort Belvoir, VA: Defense Technical Information Center, April 2014. http://dx.doi.org/10.21236/ada602355.

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9

Matteson, L. T., T. L. Kelly, H. Babkoff, S. Hauser, and P. Naitoh. Methylphenidate and Pemoline: Effects on Sleepiness and Mood during Sleep Deprivation. Fort Belvoir, VA: Defense Technical Information Center, March 1991. http://dx.doi.org/10.21236/ada234659.

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10

Miller, Nita L., Lawrence G. Shattuck, Anthony P. Tvaryanas, and Panagiotis Matsangas. Effects of Sleep on Training Effectiveness in Soldiers at Fort Leonard Wood. Fort Belvoir, VA: Defense Technical Information Center, February 2010. http://dx.doi.org/10.21236/ada548058.

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