Sleep disturbances in Rett syndrome: Impact and management including use of sleep hygiene practices

2018 ◽  
Vol 176 (7) ◽  
pp. 1569-1577 ◽  
Author(s):  
Sharolin Boban ◽  
Helen Leonard ◽  
Kingsley Wong ◽  
Andrew Wilson ◽  
Jenny Downs
Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2398
Author(s):  
Asterios Leonidis ◽  
Maria Korozi ◽  
Eirini Sykianaki ◽  
Eleni Tsolakou ◽  
Vasilios Kouroumalis ◽  
...  

High stress levels and sleep deprivation may cause several mental or physical health issues, such as depression, impaired memory, decreased motivation, obesity, etc. The COVID-19 pandemic has produced unprecedented changes in our lives, generating significant stress, and worries about health, social isolation, employment, and finances. To this end, nowadays more than ever, it is crucial to deliver solutions that can help people to manage and control their stress, as well as to reduce sleep disturbances, so as to improve their health and overall quality of life. Technology, and in particular Ambient Intelligence Environments, can help towards that direction, when considering that they are able to understand the needs of their users, identify their behavior, learn their preferences, and act and react in their interest. This work presents two systems that have been designed and developed in the context of an Intelligent Home, namely CaLmi and HypnOS, which aim to assist users that struggle with stress and poor sleep quality, respectively. Both of the systems rely on real-time data collected by wearable devices, as well as contextual information retrieved from the ambient facilities of the Intelligent Home, so as to offer appropriate pervasive relaxation programs (CaLmi) or provide personalized insights regarding sleep hygiene (HypnOS) to the residents. This article will describe the design process that was followed, the functionality of both systems, the results of the user studies that were conducted for the evaluation of their end-user applications, and a discussion about future plans.


2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1578.2-1578
Author(s):  
N. Gokcen ◽  
A. Komac ◽  
F. Tuncer ◽  
A. Yazici ◽  
A. Cefle

Background:Sleep disturbances have been described in Systemic Sclerosis (SSc). Confounding factors related to sleep quality are also investigated. Although sleep hygiene plays an important role in sleep quality, as far as we know, there are not enough data to show the effect of sleep hygiene on sleep quality of SSc.Objectives:To investigate sleep hygiene, its impact on sleep quality, and its association with demographic-clinical factors in patients with SSc, rheumatoid arthritis (RA), and healthy controls.Methods:The study was designed as cross-sectional. Forty-nine patients with SSc who fulfilled the 2013 ACR/EULAR classification criteria for SSc, 66 patients with RA who fulfilled 1987 revised classification criteria, and 30 healthy controls were included in the study. All participants were female. Demographic and clinical variables were documented. Disease activity index of both SSc and RA was calculated. SSc patients were assessed by questionnaires including Short Form 36 (SF-36), The Health Assessment Questionnaire Disability Index (HAQ-DI), Beck Anxiety and Beck Depression Inventory, Pittsburg Sleep Quality Index (PSQI), Sleep Hygiene Index (SHI). Additionally, RA patients and healthy controls were estimated by HAQ-DI, Beck Anxiety and Beck Depression Inventory, PSQI, and SHI. Logistic regression analysis was used to determine the predictors of sleep quality.Results:Preliminary results of the study were given. The baseline demographics were similar among groups. When comparing groups according to HAQ-DI, Beck Anxiety and Beck Depression Inventory, PSQI, and SHI, we found higher scores in SSc and RA rather than healthy controls (p<0.001, p=0.001, p=0.001, p<0.001, p=0.003; respectively). While depression and sleep hygiene were determined as the risk factors of sleep quality in SSc in univariate analysis, depression (OR=1.380, 95%CI: 1.065−1.784, p=0.015) and sleep hygiene (OR=1.201, 95%CI: 1.003−1.439, p=0.046) were also found in multivariate logistic model. In RA patients, while health status, depression, and anxiety were found as risk factors according to the univariate analysis, depression (OR=1.120, 95%CI: 1.006−1.245, p=0.038) was the only factor according to multivariate logistic model (Table).Conclusion:Although depression is a well-known clinical variable impacting on sleep quality, sleep hygiene should also be kept in mind as a confounding factor.References:[1]Milette K, Hudson M, Körner A, et al. Sleep disturbances in systemic sclerosis: evidence for the role of gastrointestinal symptoms, pain and pruritus. Rheumatology (Oxford). 2013 Sep;52(9):1715-20.[2]Sariyildiz MA, Batmaz I, Budulgan M, et al. Sleep quality in patients with systemic sclerosis: relationship between the clinical variables, depressive symptoms, functional status, and the quality of life. Rheumatol Int. 2013 Aug;33(8):1973-9.TableUnivariate logistic regression analysis of clinical variables to assess predictors of sleep qualitySystemic sclerosisRheumatoid arthritisOR (95% CI)pOR (95% CI)pHAQ-DI1.019 (0.882−1.177)0.8011.089 (1.011−1.173)0.025BDI score1.293 (1.082−1.547)0.0051.129 (1.036−1.230)0.006BAI score1.080 (0.997−1.169)0.0591.122 (1.038−1.214)0.004SHI1.200 (1.060−1.357)0.0041.048 (0.965−1.137)0.264Disease activitya0.707 (0.439−1.138)0.1531.446 (0.839−2.492)0.185aDisease activity was calculated by Valentini disease activity index for SSc and DAS28-CRP for RA.Disclosure of Interests:None declared


2004 ◽  
Vol 27 (4) ◽  
pp. 225-236 ◽  
Author(s):  
Rita E. Cheek ◽  
Joan L. F. Shaver ◽  
Martha J. Lentz

Author(s):  
Bryan D. Carter ◽  
William G. Kronenberger ◽  
Eric L. Scott

This session introduces important information on understanding just what stress is and how it can affect our bodies. Learning to identify situations that can be stressful is the first step, followed by understanding how different stressors call for different stress management strategies. One particularly important issue in managing the stress that comes from having a chronic illness is sleep. The Children’s Health and Illness Recovery Program (CHIRP) introduces the importance of improving sleep by learning healthy sleep hygiene practices and monitoring this with the help of the Sleep Log. Improvement in sleep hygiene and physical activity are emphasized as important building blocks of CHIRP.


2020 ◽  
Vol 30 (Supplement_2) ◽  
Author(s):  
G Fonseca ◽  
AC Marques ◽  
DG Vidal ◽  
M Pontes ◽  
MA Martins

Abstract Introduction Children aged 5 to 12 years old needs, at least, 10-11 hours of sleep. Nowadays, children under 6 years old become more interested in TV, computers and in Internet which can lead to difficulty falling asleep. Parent knowledge about child sleep hygiene can influence parent capacity to promote healthy sleep habits, and should be supported by accurate information. Objectives To analyse parents knowledge of children sleep practices. Methodology A convenience sample of parents (n = 201) of children from three schools in a northern city of Portugal completed the "Sleep Ideas" Parent Survey on child sleep habits and parental basic sleep knowledge, beliefs and attitudes regarding sleep as a health behaviour. Results Of the 201 analysed surveys (response rate 67 %), 33.8 % are from parents of children aged under 3 years old, 19.4 % of children with 3 years older, 24.4 % of children with 4 years old, 16.4 % of children with 5 years old and 6.0 % of children with 6 years old. In general, the percentage of correct answers was 84.8 %. Regarding children age, the percentage of correct answers ranged between 77.9 to 86.2 %, being the parents of children with 6 years old those who had the highest percentage of incorrect answers (22.1 %) and, on the other hand, the parents of children with 3 years old those who had the lowest percentage of incorrect answers (13.8 %). The answer with the highest percentage of incorrect answers, in all parents, was “Making a physical effort before going to sleep makes falling asleep easier” (46.8 %). Conclusion In this study, parents revealed a very reasonable knowledge about sleep, which suggests a good capability to influence positively children’s habits. Parents with high sleep knowledge are more able to promote healthy sleep hygiene habits. Further studies are warranted to promote a better understanding of all the determinant dimensions for good sleeping habits.


SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A372-A373
Author(s):  
L C Daniel ◽  
Y Gross ◽  
L Meltzer ◽  
C Forrest ◽  
L Barakat

Abstract Introduction Sleep disturbances are common during pediatric cancer treatment and recent evidence suggests a correlation between sleep and symptom burden. Improving nighttime sleep may impact patients’ ability to cope with symptoms. The current study tests the interaction between sleep hygiene and sleep disturbances in predicting cancer-related symptoms to determine if the relationship between sleep and symptoms is different for patients with better sleep hygiene. Methods 102 caregivers of children with cancer (ages 5-17, M=10.12, SD=4.02; 58% female) completed parent-proxy Pediatric Sleep Practices Questionnaire (yielding routine consistency and sleep opportunity scores) and measures of cancer-related symptoms (PROMIS Sleep Disturbance, Fatigue, and Pain Interference; PedsQL—Cancer Module-Nausea subscale). The interaction between sleep disturbances and sleep hygiene (consistency, opportunity) on each symptom (pain, nausea, fatigue) were tested using PROCESS moderation. Results 81% of caregivers report that their child receives sufficient sleep but only 12% reported regular consistent sleep patterns/routines. Sleep opportunity was not related to sleep disturbances or cancer-related symptoms, but more routine consistency was related to fewer sleep disturbances (r=.30, p=.003). The interaction between sleep disturbances and routine consistency significantly predicted pain interference [R2=.16, F(3, 98)=6.37, p&lt;.001; Bint =-0.17, p=.028] and nausea [R2=.16, F(3, 98)=6.47, p&lt;.001; Bint=0.46, p=.004]. The interaction between sleep disturbances and sleep opportunity significantly predicted nausea [R2=.15, F(3, 98)=5.76, p=.001; Bint =0.68, p=.016] but not pain interference. Both interaction models predicting fatigue were not significant. Conclusion The sleep/pain and sleep/nausea relationships are stronger in patients with more consistent sleep routines and the sleep/nausea relationship is also stronger in patients with sufficient/well-timed sleep opportunities. Sleep and fatigue were moderately related across all levels of both sleep hygiene components. Clinical interventions that target sleep hygiene together with sleep disturbances such as nighttime awakenings and poor sleep quality may be more effective in addressing cancer-related symptoms such as pain and nausea. Support This work was supported in part by funding from the Patient-Centered Outcomes Research Institute (PCORI-D-17-00187; PI Christopher Forrest).


2010 ◽  
Vol 9 (1) ◽  
pp. 35-45 ◽  
Author(s):  
Yuichiro ABE ◽  
Kazuo MISHIMA ◽  
Yoshitaka KANEITA ◽  
Lan LI ◽  
Takashi OHIDA ◽  
...  

2003 ◽  
Vol 51 (10) ◽  
pp. 1455-1460 ◽  
Author(s):  
Susan M. McCurry ◽  
Laura E. Gibbons ◽  
Rebecca G. Logsdon ◽  
Michael Vitiello ◽  
Linda Teri

2014 ◽  
Vol 19 (1) ◽  
pp. 35-41 ◽  
Author(s):  
Patricia C Emery ◽  
Keith G Wilson ◽  
John Kowal

BACKGROUND: Disturbed sleep is a common problem in both chronic pain and major depressive disorder (MDD). Moreover, many patients with chronic pain are depressed.OBJECTIVES: To examine the effects of depression on the sleep behaviour of chronic pain patients by comparing patients who did or did not meet diagnostic criteria for MDD.METHODS: A total of 60 patients with chronic musculoskeletal pain underwent structured diagnostic interviews for MDD and insomnia, and completed questionnaires assessing pain severity, disability, sleep quality, beliefs and attitudes about sleep, and sleep hygiene. For four consecutive days, they also completed a sleep diary, and reported on sleep hygiene practices and presleep arousal.RESULTS: Thirty-three patients (55%) met diagnostic criteria for MDD, most of whom (n=32 [97%]) also fulfilled criteria for insomnia disorder. Insomnia was also common among patients without MDD (21 of 27 [78%]). Participants with MDD had higher self-reports of pain, disability, dysfunctional beliefs about sleep, and, on a prospective basis, greater presleep arousal and poorer sleep hygiene. However, diary assessments of specific sleep parameters (eg, sleep onset latency, total sleep time, sleep efficiency) did not differ between the groups.DISCUSSION: Chronic pain patients with comorbid MDD exhibited more dysfunctional beliefs about sleep, poorer sleep hygiene practices and greater presleep arousal; however, diary-recorded sleep characteristics may not differ from those of patients without MDD. Chronic pain itself may disturb sleep so extensively that MDD introduces little additive effect.CONCLUSION: MDD in chronic pain may be related to the cognitive and behavioural aspects of insomnia, rather than to an incremental disturbance in the initiation or maintenance of sleep.


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