Clinical and behavioral attributes leading to sleep disorders in children on the autism spectrum / Anne MASI in Autism Research, 15-7 (July 2022)  

Public ISBD [article]  inAutism Research > 15-7 (July 2022) . - p.1274-1287 Titre : Clinical and behavioral attributes leading to sleep disorders in children on the autism spectrum Type de document : texte imprimé Auteurs : Anne MASI, Auteur ; Mohammad Ali MONI, Auteur ; Syeda Ishra AZIM, Auteur ; Byungkuk CHOI, Auteur ; Helen S. HEUSSLER, Auteur ; Ping- I. LIN, Auteur ; Antonio MENDOZA DIAZ, Auteur ; Valsamma EAPEN, Auteur Article en page(s) : p.1274-1287 Langues : Anglais (eng) Mots-clés : autism spectrum disorder  behavioral problems  children  clinical phenotypes  sleep disorders Index. décimale : PER Périodiques Résumé : Sleep disorders are a common comorbid condition in children diagnosed with autism spectrum disorder ("autism"). However, the relationship between the clinical features of autism and sleep disorders remains unclear. A better understanding of the inherent autism-related characteristics linked to comorbid sleep disorders would improve comprehensive assessment and management. This study examined the relationship between sociodemographics, autism symptoms, sleep problems, cognitive status, behavioral attributes, and sensory profiles. Using data from 1268 participants who took part in the Australian Autism Biobank, sleep-related measurements using the Child Sleep Habits Questionnaire (CSHQ) were compared between autistic children aged 2 to 17 (N = 969), their siblings (N = 188), and unrelated children without an autism diagnosis (N = 111). The known relationship between sleep problems and autism was further explored by including scores from the Autism Diagnostic Observation Schedule-2, Mullen Scales of Early Learning, Vineland Adaptive Behavioral Scale-II and the Short Sensory Profile-2; which were included in analyses for autistic participants who had a completed CSHQ. Multiple regression models were used to identify clinical/behavioral variables associated with CSHQ subscales. The autism group had a significantly higher total CSHQ score than the sibling and comparison groups (p < 0.001), indicating worse sleep quality. Within the autism group, lower adaptive behaviors (i.e., VABS-II) and sensory issues (i.e., SSP-2 subclass scores) were positively associated with the severity of sleep problems (i.e., the CSHQ subclass scores) (p < 0.001). The significant functional impact of poor sleep on autistic children warrants an assessment of sleep as a critical part of a holistic approach to supporting autistic children and their families. LAY SUMMARY: Autistic children generally have co-occurring conditions. Sleep disorders impact approximately 50%-80% of autistic children. The impact on the quality of life for both the children and their families can be significant. This study compares sleep problems in autistic children and adolescents with their siblings and children without a diagnosis of autism, and investigates the relationship between specific autistic traits, daily life behaviors and sleep problems. The findings highlight the importance of a holistic assessment for autistic children and matching appropriate sleep intervention and supports where indicated. En ligne : http://dx.doi.org/10.1002/aur.2745 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=477 [article] Clinical and behavioral attributes leading to sleep disorders in children on the autism spectrum [texte imprimé] / Anne MASI, Auteur ; Mohammad Ali MONI, Auteur ; Syeda Ishra AZIM, Auteur ; Byungkuk CHOI, Auteur ; Helen S. HEUSSLER, Auteur ; Ping- I. LIN, Auteur ; Antonio MENDOZA DIAZ, Auteur ; Valsamma EAPEN, Auteur . - p.1274-1287. Langues : Anglais (eng) in Autism Research > 15-7 (July 2022) . - p.1274-1287 Mots-clés : autism spectrum disorder  behavioral problems  children  clinical phenotypes  sleep disorders Index. décimale : PER Périodiques Résumé : Sleep disorders are a common comorbid condition in children diagnosed with autism spectrum disorder ("autism"). However, the relationship between the clinical features of autism and sleep disorders remains unclear. A better understanding of the inherent autism-related characteristics linked to comorbid sleep disorders would improve comprehensive assessment and management. This study examined the relationship between sociodemographics, autism symptoms, sleep problems, cognitive status, behavioral attributes, and sensory profiles. Using data from 1268 participants who took part in the Australian Autism Biobank, sleep-related measurements using the Child Sleep Habits Questionnaire (CSHQ) were compared between autistic children aged 2 to 17 (N = 969), their siblings (N = 188), and unrelated children without an autism diagnosis (N = 111). The known relationship between sleep problems and autism was further explored by including scores from the Autism Diagnostic Observation Schedule-2, Mullen Scales of Early Learning, Vineland Adaptive Behavioral Scale-II and the Short Sensory Profile-2; which were included in analyses for autistic participants who had a completed CSHQ. Multiple regression models were used to identify clinical/behavioral variables associated with CSHQ subscales. The autism group had a significantly higher total CSHQ score than the sibling and comparison groups (p < 0.001), indicating worse sleep quality. Within the autism group, lower adaptive behaviors (i.e., VABS-II) and sensory issues (i.e., SSP-2 subclass scores) were positively associated with the severity of sleep problems (i.e., the CSHQ subclass scores) (p < 0.001). The significant functional impact of poor sleep on autistic children warrants an assessment of sleep as a critical part of a holistic approach to supporting autistic children and their families. LAY SUMMARY: Autistic children generally have co-occurring conditions. Sleep disorders impact approximately 50%-80% of autistic children. The impact on the quality of life for both the children and their families can be significant. This study compares sleep problems in autistic children and adolescents with their siblings and children without a diagnosis of autism, and investigates the relationship between specific autistic traits, daily life behaviors and sleep problems. The findings highlight the importance of a holistic assessment for autistic children and matching appropriate sleep intervention and supports where indicated. En ligne : http://dx.doi.org/10.1002/aur.2745 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=477

Patterns of sensory modulation by age and sex in young people on the autism spectrum / Alison E. LANE in Autism Research, 15-10 (October 2022)  

Public ISBD [article]  inAutism Research > 15-10 (October 2022) . - p.1840-1854 Titre : Patterns of sensory modulation by age and sex in young people on the autism spectrum Type de document : texte imprimé Auteurs : Alison E. LANE, Auteur ; Kate SIMPSON, Auteur ; Anne MASI, Auteur ; Rachel GROVE, Auteur ; Mohammad Ali MONI, Auteur ; Alicia MONTGOMERY, Auteur ; Jacqui ROBERTS, Auteur ; Natalie SILOVE, Auteur ; Olivia WHALEN, Auteur ; Andrew J.O. WHITEHOUSE, Auteur ; Valsamma EAPEN, Auteur Article en page(s) : p.1840-1854 Langues : Anglais (eng) Mots-clés : age  autism spectrum  cluster analysis  sensory  sensory modulation  sex  subtypes  young people Index. décimale : PER Périodiques Résumé : Sensory modulation symptoms form a diagnostic criterion for autism spectrum disorder and are associated with significant daily functional limitations. Utilizing caregiver report on Short Sensory Profile-2 (SSP-2) for 919 autistic children (3-14.11 years), we examined the expression of sensory modulation symptoms by age and sex and investigated the existence of specific sensory modulation subtypes. Sensory modulation symptoms appeared to peak in frequency during middle childhood, particularly in sensory sensitivity and avoidance. Symptoms associated with sensory hypo-reactivity and seeking tended not differ between age cohorts. Males and females demonstrated similar overall sensory modulation profiles, however, females showed elevated symptoms relating to sensory sensitivity. Model-based cluster analysis revealed five interpretable sensory modulation subtypes which related to symptom severity (low, mid-range, high). Subtypes demonstrating mid-range symptom severity differed in focus on sensory hyper-reactivity or seeking symptoms. The findings of this study report for the first time that age-related differences in sensory modulation symptoms may be associated with sensory hyper-reactivity only. The subtyping results also suggest that sensory modulation symptom severity is a reliable means of classifying variance within autistic children, however, consideration of differences in the behavioral strategies employed by individuals to manage sensory modulation symptoms may inform tailored supportive strategies. LAY SUMMARY: We studied sensory symptoms such as over-responding, under-responding and sensation seeking behaviors in 919 autistic children and adolescents. We found that 6-12-year-olds and females displayed the most sensory over-responding symptoms. Autistic children could be grouped into mild, moderate, and severe levels of sensory symptoms, however, children differed in the type of strategies used to cope with their sensory symptoms meaning that they may require different intervention approaches. En ligne : http://dx.doi.org/10.1002/aur.2762 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=488 [article] Patterns of sensory modulation by age and sex in young people on the autism spectrum [texte imprimé] / Alison E. LANE, Auteur ; Kate SIMPSON, Auteur ; Anne MASI, Auteur ; Rachel GROVE, Auteur ; Mohammad Ali MONI, Auteur ; Alicia MONTGOMERY, Auteur ; Jacqui ROBERTS, Auteur ; Natalie SILOVE, Auteur ; Olivia WHALEN, Auteur ; Andrew J.O. WHITEHOUSE, Auteur ; Valsamma EAPEN, Auteur . - p.1840-1854. Langues : Anglais (eng) in Autism Research > 15-10 (October 2022) . - p.1840-1854 Mots-clés : age  autism spectrum  cluster analysis  sensory  sensory modulation  sex  subtypes  young people Index. décimale : PER Périodiques Résumé : Sensory modulation symptoms form a diagnostic criterion for autism spectrum disorder and are associated with significant daily functional limitations. Utilizing caregiver report on Short Sensory Profile-2 (SSP-2) for 919 autistic children (3-14.11 years), we examined the expression of sensory modulation symptoms by age and sex and investigated the existence of specific sensory modulation subtypes. Sensory modulation symptoms appeared to peak in frequency during middle childhood, particularly in sensory sensitivity and avoidance. Symptoms associated with sensory hypo-reactivity and seeking tended not differ between age cohorts. Males and females demonstrated similar overall sensory modulation profiles, however, females showed elevated symptoms relating to sensory sensitivity. Model-based cluster analysis revealed five interpretable sensory modulation subtypes which related to symptom severity (low, mid-range, high). Subtypes demonstrating mid-range symptom severity differed in focus on sensory hyper-reactivity or seeking symptoms. The findings of this study report for the first time that age-related differences in sensory modulation symptoms may be associated with sensory hyper-reactivity only. The subtyping results also suggest that sensory modulation symptom severity is a reliable means of classifying variance within autistic children, however, consideration of differences in the behavioral strategies employed by individuals to manage sensory modulation symptoms may inform tailored supportive strategies. LAY SUMMARY: We studied sensory symptoms such as over-responding, under-responding and sensation seeking behaviors in 919 autistic children and adolescents. We found that 6-12-year-olds and females displayed the most sensory over-responding symptoms. Autistic children could be grouped into mild, moderate, and severe levels of sensory symptoms, however, children differed in the type of strategies used to cope with their sensory symptoms meaning that they may require different intervention approaches. En ligne : http://dx.doi.org/10.1002/aur.2762 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=488

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