Autism Spectrum Disorder Phenotypes Based on Sleep Dimensions and Core Autism Symptoms.
Previous studies have used cluster analysis to address the diagnostic heterogeneity of autism spectrum disorder, but have been limited by identifying subgroups solely on the basis of core autism symptoms. The present study aimed to identify sleep phenotypes and their clustering with core autism symp...
| Publicado en: | Journal of Autism & Developmental Disorders Vol. 55; no. 12; pp. 4412 - 4425 |
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| Autores principales: | , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Springer Nature
Dec2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=189168318&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 189168318 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01623257 AUT jtl: Journal of Autism & Developmental Disorders issn: 01623257 maglogo: N pubinfo: dt: Dec2025 vid: 55 iid: 12 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 189168318 184536272 189168318 189168318 10.1007/s10803-025-06822-y 189168318 ppf: 4412 ppct: 13 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Autism Spectrum Disorder Phenotypes Based on Sleep Dimensions and Core Autism Symptoms. aug: au: Lenker, Kristina P. Li, Yanling Fernandez-Mendoza, Julio Mayes, Susan D. Calhoun, Susan L. affil: https://ror.org/01h22ap11 Sleep Research & Treatment Center, Penn State Milton S. Hershey Medical Center, College of Medicine, Department of Psychiatry and Behavioral Health, Penn State University, Hershey, PA, USA sug: subj: Autism Spectrum Disorder Symptoms Phenotype Sleep Autism Spectrum Disorder Diagnosis Sleep Disorders Human Infant Cluster Analysis Child, Preschool Child Adolescence Factor Analysis Scales Structural Equation Modeling Intelligence Disorders of Excessive Somnolence Interpersonal Relations Outpatients Pennsylvania Retrospective Design Multiple Logistic Regression Odds Ratio Confidence Intervals Univariate Statistics Funding Source Infant: 1-23 months Child, Preschool: 2-5 years Child: 6-12 years Adolescent: 13-18 years ab: Previous studies have used cluster analysis to address the diagnostic heterogeneity of autism spectrum disorder, but have been limited by identifying subgroups solely on the basis of core autism symptoms. The present study aimed to identify sleep phenotypes and their clustering with core autism symptoms in youth diagnosed with autism. 1397 patients (1–17y, M = 6.1 ± 3.3y; M IQ = 88.5 ± 27.2; 81.2% male, 89.0% white) with autism. Principal component analysis (PCA) was performed on 10 sleep items from the Pediatric Behavior Scale. Latent class analyses (LCA) determined phenotypes characterized by core autism symptoms and sleep clusters, accounting for age, sex, Intelligence Quotient (IQ), and medication use.PCA identified three distinct sleep clusters (disturbed sleep, insufficient sleep and hypersomnolence) explaining 48.4% of the variance. LCA revealed four phenotypes based on core ASD symptoms and sleep clusters. Compared to Class 1 (54.8%) as the reference group, Class 2 (26.3%) had a similar degree of sleep problems, higher IQ and milder autism symptoms, less problems with selective attention/fearlessness; Class 3 (14.5%) was characterized by insufficient and disturbed sleep, perseveration and somatosensory disturbance, and higher medication use, while Class 4 (4.4%) was by hypersomnolence, problems with social interactions, and higher medication use.We found four distinct clustering of core autism symptoms and sleep problems differing in their sleep profiles as well as in relation to clinical characteristics, demographics, internalizing/externalizing symptoms, and functional outcomes. Our findings underscore the heterogeneity of autism based on sleep-wake problems, advocating for personalized therapeutic interventions targeting nighttime sleep and daytime alertness. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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