Background: Behavioural sleep problems are common in children with autism spectrum disorder (ASD); however, evidence for the efficacy of behavioural sleep interventions is limited. This study examined the efficacy of a brief behavioural sleep intervention in autistic children. It was hypothesised that the intervention would reduce overall child sleep problems (primary outcome), in addition to improvements in children's social, emotional, cognitive, academic functioning, and quality of life, and parent/caregivers' stress, quality of life, and mental health (secondary outcomes).
Methods: A randomised controlled trial was conducted with participants randomised via a computer-generated sequence to the sleeping sound intervention (n = 123) or treatment as usual (n = 122) group. Participants comprised 245 children with an ASD diagnosis. Inclusion criteria were as follows: confirmation of DSM IV or DSM-5 diagnosis of ASD, participants aged between 5 and 13 years and parent/caregiver report of moderate-severe sleep problems. Exclusion criteria were as follows: parent/caregiver intellectual disability or lacking sufficient English to complete questionnaires; and child participant with co-occurring medical conditions known to impact sleep. The intervention group received the sleeping sound intervention (2 × 50-min face-to-face sessions plus follow-up phone call) by a trained clinician.
Results: Change in children's sleep problems was measured by the Children's Sleep Habits Questionnaire (CSHQ) at 3 months post randomisation. Parents/caregivers of children in the intervention group reported a reduction in child sleep problems at 3 months post randomisation (effect size: E.S -0.7). There were also small effects in a number of child (internalising symptoms, emotional behavioural disturbance and quality of life) and parent/caregiver (mental health, parenting stress and quality of life) outcomes; however, these did not remain significant when controlling for multiple comparisons.
Conclusions: The sleeping sound ASD intervention is an efficacious and practical way to reduce sleep problems for autistic children. This brief behavioural intervention has the potential to be embedded easily into the Australian healthcare system.
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http://dx.doi.org/10.1111/jcpp.13590 | DOI Listing |
JMIR Ment Health
December 2024
Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim / Heidelberg University, Mannheim, Germany.
Background: Mobile devices for remote monitoring are inevitable tools to support treatment and patient care, especially in recurrent diseases such as major depressive disorder. The aim of this study was to learn if machine learning (ML) models based on longitudinal speech data are helpful in predicting momentary depression severity. Data analyses were based on a dataset including 30 inpatients during an acute depressive episode receiving sleep deprivation therapy in stationary care, an intervention inducing a rapid change in depressive symptoms in a relatively short period of time.
View Article and Find Full Text PDFHealth Inf Sci Syst
December 2025
School of Computer Science, Zhejiang Normal University, Jinhua, 321000 China.
Sleep apnea/hypopnea is a sleep disorder characterized by repeated pauses in breathing which could induce a series of health problems such as cardiovascular disease (CVD) and even sudden death. Polysomnography (PSG) is the most common way to diagnose sleep apnea/hypopnea. Considering that PSG data acquisition is complex and the diagnosis of sleep apnea/hypopnea requires manual scoring, it is very time-consuming and highly professional.
View Article and Find Full Text PDFInt J Dev Disabil
March 2024
Child and Adolescent Psychiatry Department, Manisa Celal Bayar University Faculty of Medicine, Manisa, Turkey.
Objectives: Autistic children frequently exhibit irritability, which can manifest as aggression, self-injurious behaviour, and severe tantrums, leading to significant impairments. Two atypical antipsychotics have been licensed by the Food and Drug Administration for the treatment of irritability in autistic children, although a significant percentage of these children do not respond to this treatment. This study aimed to determine the frequency of drug refractory irritability (DRI) and identify the risk factors in a large clinical sample of autistic children.
View Article and Find Full Text PDFBMC Biol
December 2024
Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention Ministry of Education, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang, Liaoning, 110122, People's Republic of China.
Background: Epidemiologic researches show that short sleep duration may affect feeding behaviors resulting in higher energy intake and increased risk of obesity, but the further mechanisms that can interpret the causality remain unclear. The circadian rhythm is fine-tuned by the suprachiasmatic nucleus (SCN) as the master clock, which is essential for driving rhythms in food intake and energy metabolism through neuronal projections to the arcuate nucleus (ARC) and paraventricular nucleus (PVN).
Results: We showed that chronic SD-induced aberrant expressions of AgRP/NPY and POMC attributed to compromised JAK/STAT3 signals and reduced energy expenditure in the mice, which can be rescued with AAV-genetic overexpression of BMAL1 into SCN.
BMC Public Health
December 2024
Air Force Medical Center, Air Force Medical University, Beijing, 100142, China.
Background: There is a lack of data support and scientific validation of the Exemption Approach policy for responding to the COVID-19 pandemic, in terms of protecting the health of flight crews and meeting the requirements for passenger and cargo transportation in emergencies, in terms of its safety and the circumstances that contribute to pilots' symptoms of jet lag and the risk of fatigue.
Methods: To assess pilots' sleep issues related to jet lag symptoms and fatigue, this study evaluated an example of risk management for flight crews on flights across time zones during the COVID-19 pandemic. To evaluate the crew's sleep status, variations in sleep index changes between before and after the flights, variations in sleepiness levels, and data on sleep indexes recorded by ActiGraph bracelets were collected from 146 crew members before and after flights eastward or westward across time zones.
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