Subjective and objective sleep alterations in medication-naïve children and adolescents with autism spectrum disorder: a systematic review and meta-analysis.

AIMS: This study aimed to summarize the evidence on sleep alterations in medication-naïve children and adolescents with autism spectrum disorder (ASD). METHODS: We systematically searched PubMed/Medline, Embase and Web of Science databases from inception through March 22, 2021. This study was regist...

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Detalles Bibliográficos
Autores: Kim H, Kim JH, Kim J, Kim JY, Cortese S, Smith L, Koyanagi A, Radua J, Fusar-Poli P, Carvalho AF, Salazar de Pablo G, Shin JI, Cheon KA, Solmi M
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:España
Institución:Fundació Sant Joan de Déu
Repositorio:r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
OAI Identifier:oai:fsjd.fundanetsuite.com:p24054
Acceso en línea:https://fsjd.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=24054
Access Level:acceso abierto
Palabra clave:autism spectrum disorder
medication-naïve
meta-analysis
sleep alterations
Descripción
Sumario:AIMS: This study aimed to summarize the evidence on sleep alterations in medication-naïve children and adolescents with autism spectrum disorder (ASD). METHODS: We systematically searched PubMed/Medline, Embase and Web of Science databases from inception through March 22, 2021. This study was registered with PROSPERO (CRD42021243881). Any observational study was included that enrolled medication-naïve children and adolescents with ASD and compared objective (actigraphy and polysomnography) or subjective sleep parameters with typically developing (TD) counterparts. We extracted relevant data such as the study design and outcome measures. The methodological quality was assessed through the Newcastle-Ottawa Scale (NOS). A meta-analysis was carried out using the random-effects model by pooling effect sizes as Hedges' g. To assess publication bias, Egger's test and p-curve analysis were done. A priori planned meta-regression and subgroup analysis were also performed to identify potential moderators. RESULTS: Out of 4277 retrieved references, 16 studies were eligible with 981 ASD patients and 1220 TD individuals. The analysis of objective measures showed that medication-naïve ASD patients had significantly longer sleep latency (Hedges' g 0.59; 95% confidence interval [95% CI] 0.26 to 0.92), reduced sleep efficiency (Hedges' g -0.58; 95% CI -0.87 to -0.28), time in bed (Hedges' g -0.64; 95% CI -1.02 to -0.26) and total sleep time (Hedges' g -0.64; 95% CI -1.01 to -0.27). The analysis of subjective measures showed that they had more problems in daytime sleepiness (Hedges' g 0.48; 95% CI 0.26 to 0.71), sleep latency (Hedges' g 1.15; 95% CI 0.72 to 1.58), initiating and maintaining sleep (Hedges' g 0.86; 95% CI 0.39 to 1.33) and sleep hyperhidrosis (Hedges' g 0.48; 95% CI 0.29 to 0.66). Potential publication bias was detected for sleep latency, sleep period time and total sleep time measured by polysomnography. Some sleep alterations were moderated by age, sex and concurrent intellectual disability. The median NOS score was 8 (interquartile range 7.25-8.75). CONCLUSION: We found that medication-naïve children and adolescents with ASD presented significantly more subjective and objective sleep alterations compared to TD and identified possible moderators of these differences. Future research requires an analysis of how these sleep alterations are linked to core symptom severity and comorbid behavioural problems, which would provide an integrated therapeutic intervention for ASD. However, our results should be interpreted in light of the potential publication bias.