Autism Spectrum Disorder Phenotypes Based on Sleep Dimensions and Core Autism Symptoms / Kristina P. LENKER in Journal of Autism and Developmental Disorders, 55-12 (December 2025)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 55-12 (December 2025) . - p.4412-4424 Titre : Autism Spectrum Disorder Phenotypes Based on Sleep Dimensions and Core Autism Symptoms Type de document : texte imprimé Auteurs : Kristina P. LENKER, Auteur ; Yanling LI, Auteur ; Julio FERNANDEZ-MENDOZA, Auteur ; Susan D. MAYES, Auteur ; Susan L. CALHOUN, Auteur Article en page(s) : p.4412-4424 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : 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. En ligne : https://doi.org/10.1007/s10803-025-06822-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=572 [article] Autism Spectrum Disorder Phenotypes Based on Sleep Dimensions and Core Autism Symptoms [texte imprimé] / Kristina P. LENKER, Auteur ; Yanling LI, Auteur ; Julio FERNANDEZ-MENDOZA, Auteur ; Susan D. MAYES, Auteur ; Susan L. CALHOUN, Auteur . - p.4412-4424. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 55-12 (December 2025) . - p.4412-4424 Index. décimale : PER Périodiques Résumé : 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. En ligne : https://doi.org/10.1007/s10803-025-06822-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=572

Contamination bias in the estimation of child maltreatment causal effects on adolescent internalizing and externalizing behavior problems / John M. FELT in Journal of Child Psychology and Psychiatry, 65-11 (November 2024)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 65-11 (November 2024) . - p.1419-1428 Titre : Contamination bias in the estimation of child maltreatment causal effects on adolescent internalizing and externalizing behavior problems Type de document : texte imprimé Auteurs : John M. FELT, Auteur ; Ulziimaa CHIMED-OCHIR, Auteur ; Kenneth A. SHORES, Auteur ; Anneke E. OLSON, Auteur ; Yanling LI, Auteur ; Zachary F. FISHER, Auteur ; Nilam RAM, Auteur ; Chad E. SHENK, Auteur Article en page(s) : p.1419-1428 Langues : Anglais (eng) Mots-clés : Child maltreatment  contamination  synthetic control method  causal estimation  internalizing behaviors  externalizing behaviors Index. décimale : PER Périodiques Résumé : Background When unaddressed, contamination in child maltreatment research, in which some proportion of children recruited for a nonmaltreated comparison group are exposed to maltreatment, downwardly biases the significance and magnitude of effect size estimates. This study extends previous contamination research by investigating how a dual-measurement strategy of detecting and controlling contamination impacts causal effect size estimates of child behavior problems. Methods This study included 634 children from the LONGSCAN study with 63 cases of confirmed child maltreatment after age 8 and 571 cases without confirmed child maltreatment. Confirmed child maltreatment and internalizing and externalizing behaviors were recorded every 2 years between ages 4 and 16. Contamination in the nonmaltreated comparison group was identified and controlled by either a prospective self-report assessment at ages 12, 14, and 16 or by a one-time retrospective self-report assessment at age 18. Synthetic control methods were used to establish causal effects and quantify the impact of contamination when it was not controlled, when it was controlled for by prospective self-reports, and when it was controlled for by retrospective self-reports. Results Rates of contamination ranged from 62% to 67%. Without controlling for contamination, causal effect size estimates for internalizing behaviors were not statistically significant. Causal effects only became statistically significant after controlling contamination identified from either prospective or retrospective reports and effect sizes increased by between 17% and 54%. Controlling contamination had a smaller impact on effect size increases for externalizing behaviors but did produce a statistically significant overall effect, relative to the model ignoring contamination, when prospective methods were used. Conclusions The presence of contamination in a nonmaltreated comparison group can underestimate the magnitude and statistical significance of causal effect size estimates, especially when investigating internalizing behavior problems. Addressing contamination can facilitate the replication of results across studies. En ligne : https://doi.org/10.1111/jcpp.13990 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=537 [article] Contamination bias in the estimation of child maltreatment causal effects on adolescent internalizing and externalizing behavior problems [texte imprimé] / John M. FELT, Auteur ; Ulziimaa CHIMED-OCHIR, Auteur ; Kenneth A. SHORES, Auteur ; Anneke E. OLSON, Auteur ; Yanling LI, Auteur ; Zachary F. FISHER, Auteur ; Nilam RAM, Auteur ; Chad E. SHENK, Auteur . - p.1419-1428. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 65-11 (November 2024) . - p.1419-1428 Mots-clés : Child maltreatment  contamination  synthetic control method  causal estimation  internalizing behaviors  externalizing behaviors Index. décimale : PER Périodiques Résumé : Background When unaddressed, contamination in child maltreatment research, in which some proportion of children recruited for a nonmaltreated comparison group are exposed to maltreatment, downwardly biases the significance and magnitude of effect size estimates. This study extends previous contamination research by investigating how a dual-measurement strategy of detecting and controlling contamination impacts causal effect size estimates of child behavior problems. Methods This study included 634 children from the LONGSCAN study with 63 cases of confirmed child maltreatment after age 8 and 571 cases without confirmed child maltreatment. Confirmed child maltreatment and internalizing and externalizing behaviors were recorded every 2 years between ages 4 and 16. Contamination in the nonmaltreated comparison group was identified and controlled by either a prospective self-report assessment at ages 12, 14, and 16 or by a one-time retrospective self-report assessment at age 18. Synthetic control methods were used to establish causal effects and quantify the impact of contamination when it was not controlled, when it was controlled for by prospective self-reports, and when it was controlled for by retrospective self-reports. Results Rates of contamination ranged from 62% to 67%. Without controlling for contamination, causal effect size estimates for internalizing behaviors were not statistically significant. Causal effects only became statistically significant after controlling contamination identified from either prospective or retrospective reports and effect sizes increased by between 17% and 54%. Controlling contamination had a smaller impact on effect size increases for externalizing behaviors but did produce a statistically significant overall effect, relative to the model ignoring contamination, when prospective methods were used. Conclusions The presence of contamination in a nonmaltreated comparison group can underestimate the magnitude and statistical significance of causal effect size estimates, especially when investigating internalizing behavior problems. Addressing contamination can facilitate the replication of results across studies. En ligne : https://doi.org/10.1111/jcpp.13990 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=537

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