Sleep disturbances are debilitating for individuals with Rett syndrome (RTT) and their families yet the evidence base for management is poor. We investigated management strategies and their relationships with sleep problems. Data were provided by 364/461 (79%) families with a child with RTT and registered with the International RTT Phenotype Database. Logistic regression models were used to investigate relationships between impacts of sleep problems on the child and family with age group, mutation type, medication type, and sleep hygiene score. Linear regression models were used to estimate the association of disorders of initiating and maintaining sleep (DIMS) with age group, mutation type, medication type, and sleep hygiene. Among those who ever had difficulty falling asleep or night waking, use of any medication was associated with higher odds of moderate/major impact sleep problems (relative to minor/no impact) for the affected child and the family, as well as higher DIMS scores, when compared with the no treatment/nonmedication group accounting for the effects of age, mutation type, and sleep hygiene score. Better use of sleep hygiene practices was associated with lower odds of moderate/major impact on the family (odds ratio 0.60, 95% confidence intervals [CIs] 0.37, 0.98) and lower DIMS scores (geometric mean ratio 0.86, 95%CI 0.80, 0.92) compared with poorer use after adjusting for covariates. Attention to sleep hygiene remains an important management strategy for sleep problems in RTT. Further prospective research is required to investigate efficacy of pharmaceutical treatments.
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http://dx.doi.org/10.1002/ajmg.a.38829 | DOI Listing |
Pediatr Res
January 2025
Department of Neonatology, Wilhelmina Children's Hospital, University Medical Centre Utrecht, Utrecht, The Netherlands.
Background: This study aims to outline sleep strategies grounded in scientific research and endorsed by sleep experts, integrating parental input into the evaluation process, to assist parents in supporting infant sleep after discharge from a neonatal ward.
Methods: A Delphi method, consisting of three rounds, was employed. Sleep strategies based on scientific literature were presented to sleep experts and parents of infants discharged from a neonatal ward.
PLoS One
January 2025
School of Human Nutrition, McGill University, Montreal, Québec, Canada.
Objective: Managing blood glucose levels is challenging for elite athletes with type 1 diabetes (T1D) as competition can cause unpredictable fluctuations. While fear of hypoglycemia during physical activity is well documented, research on hyperglycemia-related anxiety (HRA) is limited. HRA refers to the heightened fear that hyperglycemia-related symptoms will impair functioning.
View Article and Find Full Text PDFSleep Breath
January 2025
Akureyri Junior College, Akureyri, Iceland.
Objectives: Sleep is often compromised in adolescents, affecting their health and quality of life. This pilot-study was conducted to evaluate if implementing brief-behavioral and sleep-hygiene education with mindfulness intervention may positively affect sleep-health in adolescents.
Method: Participants in this community-based non-randomized cohort-study volunteered for intervention (IG)- or control-group (CG).
BMJ Open
January 2025
IRCCS Mondino Foundation, Pavia, Italy
Introduction: Children with septo-optic-pituitary dysplasia (SOD) may experience a range of visual impairments and hormonal dysfunctions beyond developmental delay/intellectual disability. The literature describes sleep fragmentation, circadian rhythm disruptions and reduced sleep efficiency. These manifestations are believed to be closely linked to both structural and functional abnormalities associated with SOD, potentially disrupting the natural circadian rhythm.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
January 2025
International Institute for Integrative Sleep Medicine, University of Tsukuba, Tsukuba, Ibaraki 305-8575, Japan.
Sleep insufficiency and sleep disorders pose serious health challenges. This study aimed to determine the potential discrepancy between subjective and objective sleep assessments, including the latter made by physicians, by analyzing a 421-participant dataset in Japan comprising multiple nights of in-home sleep electroencephalogram (EEG) data and questionnaire responses on sleep habits or subjective experiences. We employed logistic regression models to examine which subjective and objective sleep parameters physicians are paying attention to when assessing sleep insufficiency, insomnia, sleep quality, and sleep apnea.
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