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Over forty percent of autistic children experience poor sleep quality, and social interaction difficulties are a core characteristic of autism. However, the relationship between sleep quality and social functioning and behavior remains poorly understood. This systematic review examined the evidence concerning the impact of sleep quality on the social functioning and behavior problems in autistic children and adolescents. It also identified key related factors and evaluated how this issue has been researched to date. Seven key journals were hand-searched and five databases were systematically searched, using keywords. Titles and abstracts of 4123 items were screened against eligibility criteria by two researchers. Relevant studies were retained if they were peer-reviewed empirical papers, published in English between 2000 and 2021. Then, the full text of 97 papers was screened and if they met the eligibility criteria, their reference lists were hand-searched. Forty-six studies were included in the final review. Data were systematically extracted and two authors critically appraised the strengths and weaknesses of studies using Critical Appraisal Skills Programme tools. Key themes were identified, because a meta-analysis was not possible due to the studies' heterogeneity. The review identified that sleep quality and social functioning are associated with one another and there is a small amount of evidence that a bi-directional causal relationship may exist. Evidence suggests that several nights of suboptimal sleep duration and a lack of deep continuous sleep negatively impact externalizing and internalizing behavior. Sleep quality is also reduced by anxiety and sensory sensitivity. However, longitudinal studies with larger samples are needed to establish causality. Future research needs to examine confounding factors and to develop consensus regarding best-practice processes for the objective measurement of sleep with autistic children. Additional research also needs to further examine the consequences of poor sleep quality on internalizing behavior, and the impact of socio-cultural practices.
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http://dx.doi.org/10.2147/NSS.S239622 | DOI Listing |
Acta Neurol Belg
September 2025
Neuroscience Research Australia, University of New South Wales, Sydney, Australia.
Objectives: Patients diagnosed with amyotrophic lateral sclerosis (ALS) typically describe symptoms of fatigue. Despite this frequency, the underlying mechanisms of fatigue are poorly understood, and are likely multifactorial. To help clarify mechanisms, the present systematic review was undertaken to determine the risk factors related to fatigue in ALS.
View Article and Find Full Text PDFJ Addict Nurs
September 2025
Annika Norell, PhD, School of Behavioral, Social and Legal Sciences, Örebro University, Örebro, Sweden; Faculty of Health Sciences, Kristianstad University, Kristianstad, Sweden.
Background: Although there is substantial evidence of the negative impact of caffeine use on sleep quality, few studies focus specifically on adolescents' patterns of use. This study aimed to identify patterns of caffeine use among adolescents and analyze their association with sleep quality.
Method: A cross-sectional study was conducted in southern Sweden including 1,404 adolescents aged 15-17 (56.
Clin Cardiol
September 2025
Himachal Heart Institute, Mandi, Himachal Pradesh, India.
Endocr Connect
September 2025
Centre for Higher Education Development, University of Cape Town.
Background: Cortisol and growth hormone are important for sleep regulation and cognition. Sleep is critical for cognitive functioning, and memory consolidation. Patients with pituitary disease experience hormonal dysregulation, impaired sleep quality, and cognitive dysfunction.
View Article and Find Full Text PDFPsychol Res Behav Manag
September 2025
Department of Internal Medicine, Shaoxing Second Hospital, Shaoxing City, Zhejiang Province, People's Republic of China.
Background: Sleep quality has emerged as a critical public health concern, yet our understanding of how multiple determinants interact to influence sleep outcomes remains limited. This study employed partial correlation network analysis to examine the hierarchical structure of sleep quality determinants among Chinese adults.
Methods: We investigated the interrelationships among nine key factors: daily activity rhythm, social interaction frequency, work-life balance, light exposure, physical activity level, time control perception, shift work, weekend catch-up sleep, and sleep quality using the extended Bayesian Information Criterion (EBIC) glasso model.