Relevant bibliographies by topics / Sleep Behaviour

Academic literature on the topic 'Sleep Behaviour'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Sleep Behaviour"

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Horne, J. A. "Human Sleep, Sleep Loss and Behaviour." British Journal of Psychiatry 162, no. 3 (March 1993): 413–19. http://dx.doi.org/10.1192/bjp.162.3.413.

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The prefrontal cortex (PFC) consists of the cortex lying in front of the primary and secondary motor cortex, and includes the dorsolateral and orbital areas, frontal eye fields, and Broca's area. Not all of the functions of the PFC are known, but key ones are the maintenance of wakefulness and non-specific arousal, and the recruiting of various cortical areas required to deal with tasks in hand (Luria, 1973; Stuss & Benson, 1986; Fuster, 1989). Other roles include (Kolb & Whishaw, 1985) planning, sensory comparisons, discrimination, decisions for action, direction and maintenance of attention at a specific task, execution of associated scanning eye movements, and initiation and production of novel goal-directed behaviour (especially with speech). Of the senses, vision makes a particular demand of the PFC, and this is reflected by the frontal eye fields.
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Ebert, D. "Human sleep, sleep loss, and behaviour." British Journal of Psychiatry 163, no. 2 (August 1993): 263–64. http://dx.doi.org/10.1192/bjp.163.2.263.

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Pereira, T., S. Martins, and L. Fernandes. "Sleep duration and suicidal behavior: A systematic review." European Psychiatry 41, S1 (April 2017): s854. http://dx.doi.org/10.1016/j.eurpsy.2017.01.1699.

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IntroductionSuicide is a serious public health problem, being the second leading cause of death among 15–29-year-olds. Many risk factors have been associated with suicidal behavior, such as psychiatric disorders, family history of suicide, loss of a close friend/relative, physical/sexual abuse, lack of support network, or sleep disturbances where nightmares and insomnia have been consistently reported to increase the risk of suicidal behaviors.ObjectiveTo conduct a systematic review to examine the association between short sleep duration and suicidal behaviour (suicide ideation/attempt/suicide).MethodsThis is a systematic review of published research articles in the electronic database PubMed in the last 10 years. The query “sleep” or “sleep disorders” and “suicide” was used. Studies that assessed the relation between sleep duration and suicidal behaviour, with a well-defined index for sleep disorders and with an outcome measure of suicidal behavior were included.ResultsOf the 522 references founded, 33 articles met the inclusion criteria (1 review, 1 qualitative and 31 quantitative studies). An association between short sleep duration and suicidal behaviour was found in most of the studies with children/adolescents and adult samples. However, this relation was not verified in the research into the elderly.ConclusionThe results point to a significant association between short sleep time and the presence of suicidal behaviours, for both adults and children/adolescents. The effect of short sleep duration seems to be more consistent with suicidal ideation, but not for attempts, needing further studies to highlight the importance of this link between sleep duration and suicide.Disclosure of interestThe authors have not supplied their declaration of competing interest.
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Bayes, Danielle M., and Ben Bullock. "Sleep Problems in School Aged Children: A Common Process across Internalising and Externalising Behaviours?" Clocks & Sleep 2, no. 1 (December 20, 2019): 7–18. http://dx.doi.org/10.3390/clockssleep2010002.

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Sleep problems are common in childhood and impact cognitive, psychological and physical wellbeing. The current study investigated the association between sleep problems and internalising and externalising behaviour in 114 school-aged children (5–12 years) from four primary schools in Melbourne, Australia. Data were collected using the Sleep Disorder Inventory for Students to measure sleep and the Conners Behavior Rating Scale to assess behaviour, both by parent report. Hierarchical regression analysis, controlling for socioeconomic status and age, identified moderate associations between sleep problems and emotional distress, aggressive behaviour and hyperactivity/impulsivity. Findings suggest screening for sleep problems in children presenting clinically with behavioural issues is a potentially important clinical practice. Additionally, results support the elaboration of transdiagnostic theory, whereby sleep problems are a common process in both internalising and externalising behaviour in children.
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Ikeda, Kazuyo, Kazushi Deguchi, Mieko Shimamura, Yoshiteru Urai, Masago Tsukaguchi, Shigeki Kuriyama, Tetsuo Touge, and Masayuki Karaki. "REM Sleep Behaviour Disorder." Nihon Naika Gakkai Zasshi 97, no. 5 (2008): 1078–80. http://dx.doi.org/10.2169/naika.97.1078.

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Salzarulo, Piero. "REM sleep behaviour disorder." Journal of Sleep Research 3, no. 3 (September 1994): 192. http://dx.doi.org/10.1111/j.1365-2869.1994.tb00129.x.

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Ferini-Strambi, Luigi, Fabrizio Rinaldi, Enrico Giora, Sara Marelli, and Andrea Galbiati. "REM sleep Behaviour Disorder." Parkinsonism & Related Disorders 22 (January 2016): S69—S72. http://dx.doi.org/10.1016/j.parkreldis.2015.09.002.

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Moutinho, A., A. V. Pereira, and G. Jorge. "“Sexsomnia” - sleep sexual behaviour." European Psychiatry 26, S2 (March 2011): 1561. http://dx.doi.org/10.1016/s0924-9338(11)73265-5.

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Sexsomnia is a disorder that is characterized by abnormal sexual behaviours during sleep and can vary from explicit sexual vocalizations to violent masturbation and complex sexual acts including oral, vaginal or anal penetration. This disorder has clinical, psychosocial and medico-legal consequences, both to the patient and the people that surround him. Despite the scarce literature and infrequent reports, there are some descriptions of violent behaviours, sexual assault and sexual involvement of minors. Whenever we suspect that a patient suffers from sexsomnia, we must write a rigorous and complete clinical history, make a neurologic and phychiatric evaluation and nocturnal videopolysomnography. As soon as the diagnosis is established, we must plan treatment approaches. More attention should be payed to the psychosocial and medico-legal issues, and new research is needed to provide for better understanding of etiology and to improve the clinical evaluation and management.
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Ferini-Strambi, L., M. L. Fantini, M. Zucconi, V. Castronovo, S. Marelli, A. Oldani, and S. Cappa. "REM sleep behaviour disorder." Neurological Sciences 26, S3 (December 2005): s186—s192. http://dx.doi.org/10.1007/s10072-005-0485-7.

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Trajanovic, Nikola N., Michael Mangan, and Colin M. Shapiro. "Sexual behaviour in sleep." Social Psychiatry and Psychiatric Epidemiology 42, no. 12 (October 11, 2007): 1024–31. http://dx.doi.org/10.1007/s00127-007-0258-0.

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Dissertations / Theses on the topic "Sleep Behaviour"

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Wiggs, Luci. "Sleep problems and daytime behaviour in children with severe learning disabilities." Thesis, University of Oxford, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.320113.

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Loës, Corinna. "Variation in sleep behaviour and its underlying causes." Diss., lmu, 2012. http://nbn-resolving.de/urn:nbn:de:bvb:19-149876.

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McDonald, L. K. "Sleep, eating behaviour, and weight in early childhood." Thesis, University College London (University of London), 2016. http://discovery.ucl.ac.uk/1492858/.

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The rising prevalence of obesity poses a considerable threat to population health. Shorter nighttime sleep has emerged as a novel risk factor for overweight and obesity, and the association appears to be stronger at young ages. Experimental studies in adults suggest that increasing energy intake drives weight gain during periods of sleep curtailment. However, there have been few studies addressing the association between free-living sleep and weight in children. Using data from the Gemini twin birth cohort, the objective of this thesis was to advance the understanding habitual sleep behaviour in early childhood and how it may operate to influence the development of adiposity. Study 1 identified the predictors and pathways to shorter sleep at age 15 months, demonstrating that multiple environmental factors are associated with shorter sleep in children, with several operating through a later bedtime. Studies 2 and 3 examined the association between sleep and energy intake at age 21 months. Study 2 identified a linear relationship between shorter sleep and energy intake, before an association between sleep and weight was observed. Study 3 demonstrated that shorter sleeping children consumed more calories at night only, and predominantly from milk drinks. Study 4 showed that shorter sleep was significantly associated with weight at age 5 years; and at this age shorter sleep was associated with higher food responsiveness, which could partly explain the association with a higher weight. Findings from study 5 highlight the role of the home environment, demonstrating a stronger association between sleep and weight among children living in higher risk home food environments. Overall, the results of this thesis highlight the importance of an early bedtime, and strongly suggest that shorter sleep in early life may lead to a greater propensity to over-consume. Shorter sleeping toddlers may consume more because of parents’ inclination to feed to soothe at night, but changes in sensitivity to food stimuli may increase food intake and weight in older children with a greater autonomy over their eating behaviour. Implications, limitations and avenues for future research are discussed.
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Spörndly-Nees, Søren. "Physical activity and eating behaviour in sleep disorders." Doctoral thesis, Uppsala universitet, Sjukgymnastik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-308395.

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Sleep-disordered breathing and insomnia are common sleep disorders and associated with an increased risk of morbidity. The aim of this thesis was to study the contribution of a behavioural sleep medicine perspective on sleep-disordered breathing and insomnia. More specific, factors considered important for changing eating behaviour and the impact of physical activity were studied. Methods: In study I, semi-structured interviews of participants with obstructive sleep apnoea and obesity (n = 15) were analysed using a qualitative content analysis. A population-based female cohort was followed prospectively over ten years in study II and III using a postal questionnaire on two occasions (n = 4,851 and n = 5062, respectively). In study IV, a series of five experimental single-case studies was conducted testing how an aerobic exercise intervention affected selected typical snores, following an A1B1A2B2A3 design over nine days and nights (n = 5). Results:  Facilitators and barriers towards eating behaviour change were identified. A low level of self-reported leisure-time physical activity was a risk factor among women for future habitual snoring complaints, independent of weight, weight gain alcohol dependence or smoking. Maintaining higher levels or increasing levels of leisure-time physical activity over the ten-year period partly protected from snoring complaints (study II). Further, a low level of self-reported leisure-time physical activity is a risk factor for future insomnia among women. Maintaining higher levels or increasing levels of leisure-time physical activity over the ten-year period partly protect against self-reported insomnia, independent of psychological distress, age, change in body mass index, smoking, alcohol dependence, snoring status or level of education (study III). Single bouts of aerobic exercise did not produce an acute effect on snoring the following nights in the studied individuals. A pronounced night-to-night variation in snoring was identified (study IV). Conclusion: Women with sleep disorders would benefit from a behavioural sleep medicine perspective targeting their physical activity in the prevention and management of snoring and insomnia. This is motivated by the protective effects of physical activity confirmed by this thesis. Knowledge was added about facilitators and barriers for future eating behaviour change interventions.
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Gashi, Arben, and Florent Sinani. "Adolescents, Sleep Deprivation and Externalizing Behaviour - Is There a Connection?" Thesis, Örebro universitet, Institutionen för juridik, psykologi och socialt arbete, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-65584.

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Steenekamp, Travis. "Quantification of pre-competitive sleep/wake behaviour in a sample of South African cyclists." Thesis, Rhodes University, 2018. http://hdl.handle.net/10962/59015.

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The quantification of athlete pre-competitive sleep behaviour is of interest owing to the possibility that sleep loss may have a negative effect on health and performance. The purpose of this study was to monitor and quantify the sleep/wake patterns of South African cyclists prior to competitive races. A total of 336 cyclists, male and female and of differing competition levels, cycling in either the 2015 Tsogo Sun Amashova or the 2016 Telkom 94.7 Cycle Challenge completed an altered version of the Competitive Sports and Sleep Questionnaire. The questionnaire asked cyclists to report on precompetitive sleep over the past year. A subset of 92 cyclists also recorded a Core Consensus Sleep Diary for the three nights leading up to the races. The questionnaire showed that 67% of the cyclists reported worsened sleep at least once prior to competition within the past 12 months. The sleep diary found that the cyclists’ average sleep duration the night before the races was 6h19min (±1h38min), which was significantly less than two and three nights prior to the races. Sleep quality was also shown to deteriorate significantly the night before the races. The contributing factors leading to worsened pre-competitive sleep were the time the cyclists had to wake-up as well as perceived increases in sleep latency and awakenings after sleep onset. Anxiety was found to be the major cause of sleep disturbances. While females were found to be significantly more likely to report having experienced poorer sleep before competition in the past year, the sleep diary showed no difference in sleep the night before the races between the sexes. Females were significantly more likely to report instances of unpleasant dreams and waking up during the night. Again, the sleep diary data did not corroborate these findings. Females were also found to report significantly more accounts of nervousness or thoughts about competition as being the cause of sleep problems. There was no difference in sleep loss the night before competition when comparing competition-level groups. The only significant difference was that recreational cyclists were more likely to report sleeping in foreign environments as a cause of sleep disturbances. Despite a large percentage of cyclists experiencing pre-competitive sleep loss, over half (55%) perceived sleep loss to have no impact on their performance. Analysis of pre-sleep behaviour also revealed that the cyclists engaged in several practices that may have a negative effect on subsequent sleep. The vast majority of the cyclists (61%) indicated having no specific strategy to help them sleep the night before competition. Fifteen percent of cyclists reporting using media devices to help them fall asleep, a practice that has been shown to disrupt sleep. In conclusion, most cyclists, regardless of sex and level of competition experience precompetitive sleep loss attributed largely to anxiety but with the perception that this loss in sleep does not negatively impact their performance.
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Rossa, Kalina R. "Risk taking behaviour in young adults: The role of sleep and associated psychophysiological states." Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/118059/1/Kalina_Rossa_Thesis.pdf.

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Young adults have a tendency to engage in risk taking behaviours such as dangerous driving, substance use, violent behaviours towards themselves or others, and unsafe sexual practices. This program of research designed, built and tested a model aimed at understanding how young adult's sleep health, mood, and stress related experiences influence their risk taking in day-to-day life. Novel pathways for future interventions aimed at reducing the harms associated with these behaviours were explored and developed.
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Igelström, Helena. "Physical Activity and Eating Behaviour Changes in Patients with Obstructive Sleep Apnea Syndrome." Doctoral thesis, Uppsala universitet, Sjukgymnastik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-197595.

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This thesis aimed at developing and evaluating a tailored behavioural sleep medicine intervention for enhanced physical activity and healthy eating in patients with obstructive sleep apnea syndrome (OSAS) and overweight. Participants with moderate or severe OSAS (apnea-hypopnea index ≥15) and obesity (Studies I-II) or overweight (Studies III-IV), treated with continuous positive airway pressure (CPAP) (Studies I-II) or admitted to CPAP treatment (Studies III-IV), were recruited from the sleep clinic at Uppsala University Hospital, Sweden. Semi-structured individual interviews were analysed using qualitative content analysis (Study I). Data on moderate-to-vigorous physical activity (MVPA) and sedentary time were collected with three measurement methods and analysed regarding the level of measurement agreement (Study II). Potential disease-related and psychological correlates for the amount of MVPA, daily steps and sedentary time were explored using multiple linear regression (Study III). Physical activity and eating behaviour changes were examined after a six month behaviour change trial (Study IV). A tailored behavioural sleep medicine intervention targeting physical activity and healthy eating in combination with first- time CPAP treatment was compared with CPAP treatment and advice on the association between weight and OSAS. According to participants’ conceptions, a strong incentive is needed for a change in physical activity and bodily symptoms, external circumstances and thoughts and feelings influence physical activity engagement (Study I). Compared with accelerometry, the participants overestimated the level of MVPA and underestimated sedentary time when using self-reports (Study II). The participants spent 11 hours 45 minutes (71.6% of waking hours) while sedentary. Fear of movement contributed to the variation in steps and sedentary time. Body mass index was positively correlated to MVPA (Study III). The experimental group increased intake of fruit and fish and reduced more weight and waist circumference compared with controls. There were no changes in physical activity (Study IV). The novel tailored behavioural sleep medicine intervention combined with first-time CPAP facilitated eating behaviour change, with subsequent effects on anthropometrics, but it had no effects on physical activity and sedentary time. Fear of movement may be a salient determinant of sedentary time, which has to be further explored in this population. The results confirm sedentary being a construct necessary to separate from the lower end of a physical activity continuum and highlight the need of developing interventions targeting sedentary behaviours specifically.
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Nicholson, Laura Jane. "Using an extended theory of planned behaviour to investigate sleep impaired driving." Thesis, Liverpool John Moores University, 2010. http://researchonline.ljmu.ac.uk/5969/.

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Background: A significant proportion of vehicle accidents in the UK are caused by drivers falling asleep at the wheel and these accidents often occur at high speeds and result in fatalities (Home & Reyner, 1995b). Research has shown that driving after 15 or more hours of wakefulness increases the risk of being involved in a sleep-related vehicle accident (Stutts et al., 2003). Further, young and elderly adults have been found to have more sleep-related accidents between midnight and 6am and between 3pm and 6pm, respectively (Summala & Mikkola, 1994). An extended theory of planned behaviour (TPB; Ajzen, 1988,1991) was used to understand the reasons why young, middle-aged and elderly adults drive while sleep impaired with a view to reducing the incidence of this behaviour. Specifically, the determinants of driving after 15 or more hours of wakefulness, between midnight and 6am and between 3pm and 6pm were explored. Methods: A preliminary study in which sleep duration and quality were measured in young, middle-aged and elderly adults established the validity of actigraphy to reliably differentiate periods of sleep and wake. After identifying the accessible beliefs underlying each specific behaviour and constructing questionnaires tailored to each age group and behaviour, the main study was conducted. Two hundred and ten young, middle-aged and elderly adults completed TPB questionnaires in relation to driving after being awake for 15 or more hours in the following week. Measures of behaviour (using both subjective and objective methods, i.e., actigraphy) were obtained eight days later from the young adults. Additionally, the young and elderly adults completed TPB measures regarding driving between midnight and 6am and between 3pm and 6pm, respectively. The young adults provided behavioural data prospectively. The ability of anticipated regret, impulsive sensation seeking, past behaviour and gender to account for additional proportions of variance over and above the TPB was also explored. Results: The TPB explained significant proportions of variance in intention to drive after 15 or more hours of wakefulness in all three age groups. Injunctive norm was a consistent predictor in all groups. The model predicted a subjective measure of driving after 15 or more hours of wakefulness but failed to predict a more objective measure, obtained from the young adults. Both the young adults' intentions to drive between midnight and 6am and their self-reported behaviour were successfully predicted by the TPB, as were the intentions of elderly adults to drive between 3pm and 6pm. Several beliefs which discriminated those who did and who did not perform (or intend to perform) the behaviours were identified. Anticipated regret independently predicted the intentions of young adults to drive after 15 or more hours of wakefulness and between midnight and 6am, as well as the intentions of elderly adults to drive between 3pm and 6pm. The TPB failed to mediate the effect of gender on driving between midnight and 6am in the young adults. Conclusions: The TPD provided useful, but not sufficient, accounts of the determinants of intentions to drive while sleep impaired. The model was able to predict subjective measures of sleep impaired driving but failed to predict a measure based on more objective methods. This research can be used to inform interventions attempting to reduce sleep impaired driving. A number of possible behavioural change strategies are proposed based on the empirical, theory-based results obtained here.
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Mumford, Rachel Anne. "Circadian rhythms, sleep and behaviour in intellectual and developmental disabilities : a systematic review of sleep and challenging behaviour and actigraphic assessment of circadian functioning in MPS III (Sanfilippo syndrome)." Thesis, University of Manchester, 2013. https://www.research.manchester.ac.uk/portal/en/theses/circadian-rhythms-sleep-and-behaviour-in-intellectual-and-developmental-disabilities-a-systematic-review-of-sleep-and-challenging-behaviour-and-actigraphic-assessment-of-circadian-functioning-in-mps-iii-sanfilippo-syndrome(a42b0492-2049-4cf6-9eae-8a7c6fdcf36a).html.

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Sleep disturbance and behavioural difficulties are both prevalent problems in the intellectual and developmental disability population and can have a significant impact on quality of life for the individual and their family. This thesis investigated sleep, behaviour and circadian rhythm functioning in children with intellectual and developmental disabilities, and is presented in three sections. The first two papers have been prepared in accordance with the author guidelines of the journals proposed for submission, excluding tables and figures for ease of reading. The first paper is a systematic review of the literature examining the relationship between sleep disturbance and challenging behaviour in children with intellectual and developmental disabilities. 15 studies were included in the review and overall there were consistent findings of an association between the presence of sleep disruption and increased behavioural difficulties. A causal relationship could not be inferred due to the cross-sectional methodology of studies. Other factors, such as parental wellbeing, child level of intellectual disability and comorbidity of physical health conditions, need to be considered to understand the complexity of this relationship. Children with the neurodevelopmental disorder mucopolysaccharidosis type III (MPS III or Sanfilippo syndrome) present with high rates of sleep disturbance and challenging behaviour. The second paper investigates circadian rhythm functioning and activity levels in children with MPS III, compared to typically developing controls. Objective measurement of circadian rhythm and activity levels was obtained through actigraphic recording for 7-10 days. Children with MPS III had increased fragmentation of circadian rhythm, less stability of rhythm in relation to external cues and a differential pattern of activity across the day compared to controls. Overall, results were indicative of a disruption of circadian rhythm function in children with MPS III. The implications for clinical practice and future research are discussed. The third paper provides a critical appraisal of the overall research process, including further consideration of the strengths and limitations, implications for clinical practice, wider context of the research and personal reflections. An account of the project that was originally proposed with the MPS III population is also presented, alongside reflections on its termination.
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Books on the topic "Sleep Behaviour"

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Society, Sleep Research. Basics of sleep behavior. [Los Angeles?]: UCLA, 1993.

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Takeda Science Foundation Symposium on Bioscience (9th 1996 Kyoto, Japan). Sleep and sleep disorders: From molecule to behavior. Tokyo: Academid Press, 1998.

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illustrator, Van Lieshout Maria, ed. Sleep, baby, sleep. New York: Philomel Books, 2009.

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ill, Van Lieshout Maria, ed. Sleep, baby, sleep. New York: Philomel Books, 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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Križan, Zlatan, ed. Sleep, Personality, and Social Behavior. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30628-1.

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Jenkins, Steve. Time to sleep. Boston: Houghton Mifflin, 2011.

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Jenkins, Steve. Time to sleep. Boston: Houghton Mifflin, 2011.

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Schenck, Carlos H., Birgit Högl, and Aleksandar Videnovic, eds. Rapid-Eye-Movement Sleep Behavior Disorder. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-90152-7.

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Coad, Penelope. Goodnight. [Santa Rosa, CA]: SRA, 1994.

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Book chapters on the topic "Sleep Behaviour"

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Kyziridis, Theocharis, and Ioannis Nimatoudis. "Sleep and Dreams." In Psychobiology of Behaviour, 193–237. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-18323-3_8.

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Broom, Donald M. "Rest and sleep." In Broom and Fraser’s domestic animal behaviour and welfare, 153–59. 6th ed. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789249835.0014.

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Joseph, Angela Ann, Manju Mehta, and Garima Shukla. "Management of Sleep Problems." In A Practical Approach to Cognitive Behaviour Therapy for Adolescents, 131–48. New Delhi: Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2241-5_7.

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Eriksson, Sofia, and Matthew Walker. "Non-REM Parasomnias and REM Sleep Behaviour Disorder." In Sleep Disorders in Psychiatric Patients, 263–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-642-54836-9_14.

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Crivello, Antonino, Filippo Palumbo, Paolo Barsocchi, Davide La Rosa, Franco Scarselli, and Monica Bianchini. "Understanding Human Sleep Behaviour by Machine Learning." In Topics in Intelligent Engineering and Informatics, 227–52. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95996-2_11.

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O’Regan, David. "Cognitive Behaviour Therapy for Insomnia in Co-morbid Psychiatric Disorders." In Sleep Disorders in Psychiatric Patients, 149–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-642-54836-9_9.

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Murray, Jade M., Tracey L. Sletten, Michelle Magee, and Shantha M. W. Rajaratnam. "Delayed Sleep Phase Disorder: Mechanisms and Treatment Approaches." In Biological Timekeeping: Clocks, Rhythms and Behaviour, 315–34. New Delhi: Springer India, 2017. http://dx.doi.org/10.1007/978-81-322-3688-7_15.

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Pires, Gabriel Natan, Sergio Tufik, Katsumasa Hoshino, and Monica Levy Andersen. "Aggressive Behaviour and Sleep: History, Review, and Perspectives." In Psychiatry and Neuroscience Update, 233–56. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95360-1_20.

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Brown, Rhonda, and Einar Thorsteinsson. "Arousal States, Symptoms, Behaviour, Sleep and Body Temperature." In Comorbidity, 179–219. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32545-9_7.

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Hackett, Paul M. W. "How to Develop a Mapping Sentence: The Example of Avian Sleep." In The Complexity of Bird Behaviour, 53–66. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-12192-1_3.

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Conference papers on the topic "Sleep Behaviour"

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Heng, Tim Bodyka, Ankit Gupta, Chris Shaw, Caylee Raber, Markus Schilling, Nina Chen, Danni Peng, et al. "Sleep-Wake-Behaviour App." In PervasiveHealth '18: 12th EAI International Conference on Pervasive Computing Technologies for Healthcare. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3240925.3240976.

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Fallmann, Sarah, Liming Chen, and Feng Chen. "Fine-Grained Sleep-Wake Behaviour Analysis." In 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI). IEEE, 2019. http://dx.doi.org/10.1109/smartworld-uic-atc-scalcom-iop-sci.2019.00150.

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Barsocchi, Paolo, Monica Bianchini, Antonino Crivello, Davide La Rosa, Filippo Palumbo, and Franco Scarselli. "An unobtrusive sleep monitoring system for the human sleep behaviour understanding." In 2016 7th IEEE International Conference on Cognitive Infocommunications (CogInfoCom). IEEE, 2016. http://dx.doi.org/10.1109/coginfocom.2016.7804531.

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Cooray, Navin, Fernando Andreotti, Christine Lo, Mkael Symmonds, Michele T. M. Hu, and Maarten De Vos. "Automating the Detection of REM Sleep Behaviour Disorder." In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2018. http://dx.doi.org/10.1109/embc.2018.8512539.

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Zhou, Xina, Xin Zhu, Ming Huang, and Wenxi Chen. "Automatic Monitoring of Sleep Behaviour in Nursing Home Residents." In Biomedical Engineering. Calgary,AB,Canada: ACTAPRESS, 2013. http://dx.doi.org/10.2316/p.2013.791-054.

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Fallmann, Sarah, Liming Chen, and Feng Chen. "A Home-Based IoT-Enabled Framework for Sleep Behaviour Assessment." In 2019 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech). IEEE, 2019. http://dx.doi.org/10.1109/dasc/picom/cbdcom/cyberscitech.2019.00018.

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Fallmann, Sarah, and Liming Chen. "Detecting Chronic Diseases from Sleep-Wake Behaviour and Clinical Features." In 2018 5th International Conference on Systems and Informatics (ICSAI). IEEE, 2018. http://dx.doi.org/10.1109/icsai.2018.8599388.

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Shahid, Zahraa Khais, Saguna Saguna, and Christer Ahlund. "Recognizing Long-term Sleep Behaviour Change using Clustering for Elderly in Smart Homes." In 2022 IEEE International Smart Cities Conference (ISC2). IEEE, 2022. http://dx.doi.org/10.1109/isc255366.2022.9921985.

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Singh, Ankur, Stevie Williams, and Renata Riha. "51 Does simultaneous tonic and phasic REM sleep without atonia predict phenoconversion to overt neurodegenerative disease in idiopathic REM sleep behaviour disorder?" In BSS Scientific Conference 2021 abstracts book. British Thoracic Society, 2021. http://dx.doi.org/10.1136/bmjresp-2021-bssconf.45.

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Kolb, Leonie, Maximilian Malfertheiner, Katharina Heider, and Michael Arzt. "Adaptive servoventilation in patients with heart failure and sleep-related breathing disorder: predictors of usage behaviour." In ERS International Congress 2017 abstracts. European Respiratory Society, 2017. http://dx.doi.org/10.1183/1393003.congress-2017.pa2278.

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Reports on the topic "Sleep Behaviour"

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Rancans, Elmars, Jelena Vrublevska, Ilana Aleskere, Baiba Rezgale, and Anna Sibalova. Mental health and associated factors in the general population of Latvia during the COVID-19 pandemic. Rīga Stradiņš University, February 2021. http://dx.doi.org/10.25143/fk2/0mqsi9.

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Description The goal of the study was to assess mental health, socio-psychological and behavioural aspects in the representative sample of Latvian general population in online survey, and to identify vulnerable groups during COVID-19 pandemic and develop future recommendations. The study was carried out from 6 to 27 July 2020 and was attributable to the period of emergency state from 11 March to 10 June 2020. The protocol included demographic data and also data pertaining to general health, previous self-reported psychiatric history, symptoms of anxiety, clinically significant depression and suicidality, as well as a quality of sleep, sex, family relationships, finance, eating and exercising and religion/spirituality, and their changes during the pandemic. The Center for Epidemiologic Studies Depression scale was used to determine the presence of distress or depression, the Risk Assessment of Suicidality Scale was used to assess suicidal behaviour, current symptoms of anxiety were assessed by the State-Trait Anxiety Inventory form Y. (2021-02-04) Subject Medicine, Health and Life Sciences Keyword: COVID19, pandemic, depression, anxiety, suicidality, mental health, Latvia
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Hamermesh, Daniel, and Gerard Pfann. The Variability and Volatility of Sleep: An ARCHetypal Behavior. Cambridge, MA: National Bureau of Economic Research, January 2022. http://dx.doi.org/10.3386/w29658.

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Miller, Naomi, J. Measuring Light Exposure and its Effects on Sleep and Behavior in Care Center Residents. Office of Scientific and Technical Information (OSTI), November 2019. http://dx.doi.org/10.2172/1607668.

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Crain, Tori. The Crossover Effects of Supervisor Work-Family Positive Spillover on Employee Sleep Deficiency: Moderating Effects of Family Supportive Supervisor Behaviors (FSSB). Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.895.

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ji, yuqin, hao tian, qiang ye, zhuoyan ye, and zeyu zheng. Effectiveness of exercise intervention on improving fundamental motor skills in children with autism spectrum disorder: A systematic review and Meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, December 2022. http://dx.doi.org/10.37766/inplasy2022.12.0013.

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Review question / Objective: This systematic review and meta-analysis aimed to synthesize available randomized controlled trial studies concerning the effects of exercise interventions on fundamental motor skills in children with autism spectrum disorder. Condition being studied: Autism Spectrum Disorder (ASD) is a complicated and highly prevalent neuro-developmental disorder characterized by deficits in social communication, restricted interests, and repetitive behaviors. The CDC reported that the prevalence of ASD was estimated to be 1 in 59 in the United States by 2020. Along with typical symptoms, a couple of studies have indicated that individuals with ASD encounter a variety of challenges, including sleep disturbance, obesity, executive function deficits, physical inactivity, and motor dysfunctions. Fundamental motor skills (FMS) are the unnaturally occurring basic motor learning model of the human body, which are the building blocks for advanced specialized motor skills and for children and adolescents to participate in sports, games, or other context-specific physical activity.FMS falls into three different categories: (a) locomotor skills (e.g., running and hopping), (b) object control skills (e.g., catching and throwing), and balance or stability skills (e.g., balancing and twisting).
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How Sleep Deprivation Can Cause Unethical Behaviour. IEDP Ideas for Leaders, June 2014. http://dx.doi.org/10.13007/385.

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In Conversation… Sleep and Mental Health. ACAMH, July 2018. http://dx.doi.org/10.13056/acamh.4588.

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At our recent Sleep and Mental Health Conference, we caught up with the speakers, Dr Michael Farquhar, Dr Jenna Vyas-Lee, Dr Max Davie and Dr Sally Hobson to discuss the relationship between sleep, behaviour and mental health, as well as some insights into assessment, management and barriers to interventions.
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