Sleep behaviour relates to language skills in children with and without communication disorders

Sleep problems among Asian preschool children with neurodevelopmental disorders

BACKGROUND

Sleep plays an important role in children's behavior, emotional control, and cognitive development. There is a higher prevalence of sleep problems in children with neurodevelopmental disorders (NDDs) compared to those without disease. There are a few studies regarding sleep problems among Thai preschoolers with NDDs. This study examined sleep problems in preschoolers with NDDs, compared with typically developing children (TD), and studied the association between sleep problems and behavioral problems among preschoolers with NDDs.

METHODS

Sleep problems in 140 children aged 2 to 6 years with NDDs; autism spectrum disorders, attention deficit/hyperactivity disorder, global developmental delay, and developmental language disorder were evaluated by using the Thai version of Japanese Sleep Questionnaire for Preschoolers (TH-JSQ-P) and compared with 285 TD children at the same age. Behavioral problems in the NDDs group were evaluated by using the Child Behavioral Checklist (CBCL). Sleep and behavioral problem scores were analyzed by adjusted age, sex, underlying diseases, and medications used and compared between the two groups.

RESULTS

The study found that 48 % of the TD group and 71 % of the NDDs group were identified as having sleep problems. The NDDs group had significantly higher total TH-JSQ-P score and in five subscales, including obstructive sleep apnea, restless leg syndrome-motor, parasomnias, daytime behaviors, and insomnia/circadian rhythm disorders. Total TH-JSQ-P score was found to have a moderate correlation with internalizing and externalizing behavioral problems.

CONCLUSION

Findings suggest that sleep problems are more common in preschool children with NDDs than in TD children and are associated with internalizing and externalizing behavioral problems.

Evaluating the association between developmental language disorder and depressive symptoms in preschool children

This study aims to investigate the association between developmental language disorder (DLD) and depressive symptoms in preschool-aged children, building upon previous research that has demonstrated emotional difficulties in children with DLD. Forty-one children with DLD or children at risk for DLD (DLD group) and 41 children with typical language development (TLD) were included in this study. Language development was evaluated using the TEDIL test which is a Turkish adaptation of the Test of Early Language Development-3. Auto acoustic Emissions Testing and Immittance-Metric Assessment were used to exclude children with hearing impairment. Developmental delays were excluded by Denver Developmental Screening Test II. Mothers filled out the Sociodemographic Data Form and the Child Depressive Symptoms Assessment Scale. The results demonstrate that children in DLD group scored significantly higher on the Child Depressive Symptoms Assessment Scale, manifesting increased levels of aggression, separation anxiety, impulsivity, hyperactivity, and encountering greater social adaptation difficulties and deterioration in cognitive processes than TLD. Multivariate regression analysis suggests that increased impulsivity and hyperactivity, alongside social and cognitive challenges, are predictors of DLD. The study concludes that depressive symptoms are more prevalent in children in DLD group than in their typically developing counterparts. These findings underscore the necessity for targeted psychiatric and pedagogical interventions, as well as individualized educational programs that cater to the socio-emotional and cognitive needs of children with DLD.

Relationship between sleep disturbance and developmental status in preschool-aged children with developmental disorder

BACKGROUND

Sleep has been known to affect childhood development. Sleep disturbance is likely more common in children with developmental delay (DD) than in typical development. There are few studies on the correlation between sleep disturbance and developmental features in children with DD. Therefore, this study aimed to evaluate the associations between the two in children with DD.

METHODS

A total of 45 children (age range 27.0 ± 11.1) with DD were recruited and evaluated using the Sleep Disturbance Scale for Children (SDSC) and Bayley Scales of Infant and Toddler Development (BSID-III). The outcomes are expressed as means and standard deviations. The correlation between SDSC and BSID-III was assessed using Spearman's rank correlation test. Multiple regression analysis was performed to investigate the relationship between BSID-III domains and SDSC questionnaire subscales. Statistical significance was set at p < 0.05.

RESULTS

Based on the correlation analysis and subsequent hierarchical regression analysis, cognition and socio-emotional domains of BSID-III were significantly associated with the DOES subscale of the SDSC questionnaire. In addition, the expressive language domain of the BSID-III was found to be associated with the DA subscale of the SDSC questionnaire. It seems that excessive daytime sleepiness might negatively affect emotional and behavioral problems and cognitive function. Also, arousal disorders seem to be related to memory consolidation process, which is thought to affect language expression.

CONCLUSION

This study demonstrated that DA and DOES subscales of the SDSC questionnaire were correlated with developmental aspects in preschool-aged children with DD. Sleep problems in children with DD can negatively affect their development, thereby interfering with the effectiveness of rehabilitation. Identifying and properly managing the modifiable factors of sleep problems is also crucial as a part of comprehensive rehabilitation treatment. Therefore, we should pay more attention to sleep problems, even in preschool-aged children with DD.

Sleep quality relates to language impairment in children with autism spectrum disorder without intellectual disability

OBJECTIVES

This study aimed to identify sleep quality profiles of children with autism spectrum disorder (ASD), to compare these profiles with those of typically developing (TD) children, and to verify whether there are differences between them in terms of language skills.

METHODS

We evaluated the sleep quality and language skills of 47 children with ASD without intellectual disability (ID) and 32 children with TD. Using a hierarchical cluster analysis, we identified two sleep quality ASD profiles (poor and good). We then performed a series of MANCOVAs and ANOVAs to compare the sleep quality and language skills of the two ASD clusters and the TD group.

RESULTS

A main group effect (TD, "poor" cluster, and "good" cluster) was found in the total sleep quality and all its dimensions. Significant differences were revealed between the "good" and "poor" clusters in the total structural language score (F1,46 = 10.75, p < 0.001) and three of its subscales (speech: F1,46 = 9.19, p < 0.001; syntax, F1,46 = 8.61, p = 0.001; coherence: F1,46 = 11.36, p < 0.001); the total pragmatic language score (F1,46 = 7.00, p = 0.001) and three of its subscales (inappropriate initiation: F1,46 = 8.02, p = 0.001; use of context: F1,46 = 8.07, p = 0.001; nonverbal communication: F1,46 = 7.35, p = 0.001); and the social relations score (F1,46 = 9.97, p = 0.003).

CONCLUSIONS

Sleep quality in children with ASD (especially a subgroup) is worse than in children with TD. There is an association between sleep quality and language skills, both at the pragmatic and structural levels.

Sleep problems in children with autism spectrum disorder and attention-deficit/hyperactivity disorder: A comparative study and effects on communication skills

Sleep disturbances are highly prevalent among children with neurodevelopmental disorders, like Autism Spectrum Disorder (ASD) and Attention-Deficit/Hiperactivity Disorder (ADHD). The first objective of this study is to examine the differences in sleep problems between a group of children with ASD without intellectual disabilities, a group with ADHD and a typically developing (TD) group. A second objective is aimed at analyzing the effects of sleep problems and symptom severity on their communication skills. Participants were 122 children between 7 and 12 years old distributed in three groups: 32 TD children, 47 children with ASD and 43 children with ADHD, matched on age and intelligence. Parents completed different questionnaires that measured sleep disturbances and communication skills. Findings show significant differences between the clinical groups and the TD group in most types of sleep disorders. Moreover, the group with ADHD showed significantly more sleep breathing disorders and hyperhidrosis in comparison with ASD and TD, as well as more total sleep problems. In contrast to ASD, the predictive power of sleep problems on communication difficulties was greater in the group with ADHD. The results of the mediation analysis indicate that in both groups, sleep problems partially mediate the relationship between symptoms and communication. This investigation highlights the need of considering sleep disorders when assessing communication skills in ASD and ADHD, given its indirect influence in this domain. Understanding the sleep dysfunctions of both conditions and their repercussions is crucial to develop adjusted interventions.

What risk factors for Developmental Language Disorder can tell us about the neurobiological mechanisms of language development

Language is a complex multidimensional cognitive system that is connected to many neurocognitive capacities. The development of language is therefore strongly intertwined with the development of these capacities and their neurobiological substrates. Consequently, language problems, for example those of children with Developmental Language Disorder (DLD), are explained by a variety of etiological pathways and each of these pathways will be associated with specific risk factors. In this review, we attempt to link previously described factors that may interfere with language development to putative underlying neurobiological mechanisms of language development, hoping to uncover openings for future therapeutical approaches or interventions that can help children to optimally develop their language skills.

The Engage with Developmental Language Disorder (E-DLD) project: Cohort profile

BACKGROUND

Public awareness of Developmental Language Disorder (DLD) is lower than other neurodevelopmental disorders, despite its high prevalence of 7.6%. This lower awareness means recruitment for DLD research studies is difficult. DLD is both underfunded and under-researched, resulting in relatively limited research investigating individuals with DLD. Engage with Developmental Language Disorder (E-DLD) is a response to these considerations. E-DLD is the first international participant database of those affected by DLD. Parents of children with DLD under 16 and young people and adults over 16 from anywhere in the world can sign up to be a part of the E-DLD.

AIMS

This paper aims to describe the families of children with DLD and adults with DLD in the database thus far.

METHODS & PROCEDURES

E-DLD members sign up via our website, reporting demographic characteristics as part of this procedure. We request all E-DLD members subsequently fill in a yearly survey. The content of the yearly survey changes dependent on the age of the child, while the yearly survey for adults remains consistent. We measure a wide range of domains, such as speech and language therapy (SLT) support, school support, socialisation skills, and early developmental milestones for our youngest members, and health care support and mental well-being measurements for our adults. We also collect parent and self-reported reflections on strengths and challenges for the person with DLD using open-ended questions and the Strengths and Difficulties Questionnaire.

OUTCOMES & RESULTS

The database currently consists of 196 parents of children with DLD and 20 individuals over the age of 16 with DLD or suspected DLD across a range of socioeconomic status (SES) backgrounds. Our initial results confirm that E-DLD members meet the linguistic profile of DLD in relation to self- or parent-rated language difficulties. Both children and adults show increased rates of psychosocial difficulties compared to established norms, consistent with past research on clinical samples of people with DLD.

CONCLUSIONS & IMPLICATIONS

The findings indicate that a participant database for DLD research is feasible and useful. The rates of emotional, behavioural and sleep difficulties among the child probands are higher than reported rates amongst typically developing children. Initial data indicate that adults with DLD have poorer well-being than their peers. The E-DLD is a useful collection of data on those affected by DLD and is a promising method for connecting people with DLD with academic researchers.

WHAT THIS PAPER ADDS

What is already known on this subject Developmental Language Disorder (DLD) is characterised by expressive and/or receptive language difficulties in the absence of another biomedical condition that could explain these difficulties. It is critically under-researched and underfunded. As such, there is a lack of public awareness and difficulty recruiting sufficient sample sizes for DLD research studies. What this paper adds to existing knowledge Engage with Developmental Language Disorder (E-DLD) is the first international participant database of individuals with DLD. This paper provides a preliminary report on the profile of linguistic and psychosocial skills among the individuals on the database, adding to current understanding of DLD across age groups. What are the potential or actual clinical implications of this work? Our aim is that the E-DLD will provide much-needed facilitation of research into DLD. E-DLD will enable those with DLD and their families more readily to shape research agendas and to participate in studies that interest them. Families may be recruited into research that could directly translate to better clinical treatment of DLD. We also believe that the E-DLD yearly survey holds potential to provide key information on the development and longitudinal experience of children and adults with DLD.

Association of Developmental Language Disorder With Comorbid Developmental Conditions Using Algorithmic Phenotyping

IMPORTANCE

Developmental language disorder (DLD) is a common (with up to 7% prevalence) yet underdiagnosed childhood disorder whose underlying biological profile and comorbidities are not fully understood, especially at the population level.

OBJECTIVE

To identify clinically relevant conditions that co-occur with DLD at the population level.

DESIGN, SETTING, AND PARTICIPANTS

This case-control study used an electronic health record (EHR)-based population-level approach to compare the prevalence of comorbid health phenotypes between DLD cases and matched controls. These cases were identified using the Automated Phenotyping Tool for Identifying Developmental Language Disorder algorithm of the Vanderbilt University Medical Center EHR, and a phenome enrichment analysis was used to identify comorbidities. An independent sample was selected from the Geisinger Health System EHR to test the replication of the phenome enrichment using the same phenotyping and analysis pipeline. Data from the Vanderbilt EHR were accessed between March 2019 and October 2020, while data from the Geisinger EHR were accessed between January and March 2022.

MAIN OUTCOMES AND MEASURES

Common and rare comorbidities of DLD at the population level were identified using EHRs and a phecode-based enrichment analysis.

RESULTS

Comorbidity analysis was conducted for 5273 DLD cases (mean [SD] age, 16.8 [7.2] years; 3748 males [71.1%]) and 26 353 matched controls (mean [SD] age, 14.6 [5.5] years; 18 729 males [71.1%]). Relevant phenotypes associated with DLD were found, including learning disorder, delayed milestones, disorders of the acoustic nerve, conduct disorders, attention-deficit/hyperactivity disorder, lack of coordination, and other motor deficits. Several other health phenotypes not previously associated with DLD were identified, such as dermatitis, conjunctivitis, and weight and nutrition, representing a new window into the clinical complexity of DLD.

CONCLUSIONS AND RELEVANCE

This study found both rare and common comorbidities of DLD. Comorbidity profiles may be leveraged to identify risk of additional health challenges, beyond language impairment, among children with DLD.

Sleep Patterns and School Readiness of Pre-Kindergarteners from Racially and Ethnically Diverse, Low-Income Backgrounds

OBJECTIVE

To explore patterns in parent-reported child sleep health and to investigate connections between such patterns and school readiness for newly enrolled prekindergarten (PreK) attendees from racially and ethnically diverse, low-income backgrounds.

STUDY DESIGN

In a secondary analysis from a larger multiple-cohort longitudinal observational study of prekindergartners in low-income families, parental reports of sleep health for 351 children (mean age, 52.8 ± 3.5 months) during the first month of PreK were analyzed. Children also had completed direct assessments measuring language, literacy, mathematics, and executive functioning, and teachers rated children's social-emotional-behavioral competencies and approaches to learning at PreK entry. We performed latent class analyses to identify patterns in sleep health and used regression models to examine concurrent associations between child sleep health patterns and school readiness competencies across 6 domains: language, literacy, mathematics, executive functioning, social-emotional-behavioral, and approaches to learning.

RESULTS

Two classes emerged reflecting more and less desirable patterns of sleep health. Children classified in the earlier, longer, consistent sleep health class (87% of children) experienced earlier bedtimes, longer night-time sleep durations, more consistent sleep routines, less caffeine consumption ≤3 hours before bedtime, and scored higher on a direct assessment of expressive vocabulary and on teacher-reported measures of social-emotional-behavioral competencies and learning approaches than their peers in the later, shorter, inconsistent sleep health class (13% of children).

CONCLUSIONS

Consistent sleep routines and more optimal sleep health may serve as a protective mechanism for the language development, social-emotional-behavioral regulation, and approaches to learning of PreK from racially and ethnically diverse, low-income backgrounds. Clinician-parent discussions regarding optimal sleep health may provide key opportunities for targeted education that promotes school readiness skill development.

Auditory processing, co-morbidities, and parental report of sleep disturbance in children with auditory processing disorder (APD)

OBJECTIVES

To evaluate the prevalence of sleep disturbance and its relationship with auditory processing (AP) and co-morbidities in children diagnosed with auditory processing disorder (APD).

METHODS

Data from 109 children (Males = 59, Females = 50) with mean non-verbal intelligence quotient (NVIQ) of 89.44 (SD:18.16), aged between 6 and 16 years (mean: 10 years 7 months; SD: 2 years 9 months) with a diagnosis of APD were analysed. Participants performed ≤1.33 SD below the mean in two or more out of five SCAN-3 diagnostic APD tests that included 'Filtered Words' (FW), 'Auditory Figure Ground 0 dB' (AFG0), 'Competing Words-Directed Ear' (CW-DE), 'Competing Sentences' (CS) and 'Time Compressed Sentences' (TCS). Concern about sleep in addition to other symptoms and medical history were documented from structured parental history sheet which forms part of the routine APD assessment. Language impairment (LI), attention-deficit-hyperactivity-disorder (ADHD) and oppositional defiant disorder (ODD), and anxiety were evaluated using the 'Children's Communication Checklist-2' (CCC-2), 'Swanson Nolan and Pelham rating scale' (SNAP-IV) and 'Anxiety Scale for Children-Autism Spectrum Disorder' (ASC-ASD) respectively.

RESULTS

Sixty children had sleep disturbance, a prevalence of 55% (95% CI 45.2%-64.6%). The two groups of APD children, with (n = 49) and without sleep (n = 60) disturbance, did not vary in their auditory processing abilities. The sleep disturbed group had significant issues with pragmatic language impairment, hyperactivity/impulsivity, oppositional defiant symptoms and anxiety compared to the group without sleep disturbance when they were analysed separately. After the variables were considered in step wise fashion in binary logistic regression analyses, only pragmatic language impairment and anxiety predicted sleep disturbance (p < .01).

CONCLUSION

In APD the prevalence of sleep disturbance is high, justifying screening within a transdisciplinary APD assessment protocol. Sleep disturbance in APD is predicted by pragmatic language impairment and anxiety, but not by ADHD symptoms or ODD.

Autism: considerations for transitions of care into adulthood

PURPOSE OF REVIEW

The steady rise in number of youth diagnosed with autism spectrum disorder (ASD) has led to the need to examine transition of care considerations specific to ASD. Improved understanding and guidance addressing these needs will allow pediatric and adult providers to work together to optimize social, medical, and occupational outcomes for these patients.

RECENT FINDINGS

Health-care transition is a delicate time when children with ASD outgrow the services of pediatric programs and enter a fragmented healthcare system that is unfamiliar, insufficiently knowledgeable, and underfunded for their needs.

SUMMARY

Increasing autism prevalence and an aging population with autism lend urgency to improve outcomes in children transitioning to adult-care. Research reveals poor consequences in social support, education, vocational training and employment, housing, and healthcare. Specific considerations to address these issues and ensure successful transition from pediatric to adult care are needed.

Sleep Promotes Phonological Learning in Children Across Language and Autism Spectra

Purpose Establishing stable and flexible phonological representations is a key component of language development and one which is thought to vary across children with neurodevelopmental disorders affecting language acquisition. Sleep is understood to support the learning and generalization of new phonological mappings in adults, but this remains to be examined in children. This study therefore explored the time course of phonological learning in childhood and how it varies by structural language and autism symptomatology. Method Seventy-seven 7- to 13-year-old children, 30 with high autism symptomatology, were included in the study; structural language ability varied across the sample. Children learned new phonological mappings based on synthesized speech tokens in the morning; performance was then charted via repetition (without feedback) over 24 hr and followed up 4 weeks later. On the night following learning, children's sleep was monitored with polysomnography. Results A period of sleep but not wake was associated with improvement on the phonological learning task in childhood. Sleep was associated with improved performance for both trained items and novel items. Structural language ability predicted overall task performance, though language ability did not predict degree of change from one session to the next. By contrast, autism symptomatology did not explain task performance. With respect to sleep architecture, rapid eye movement features were associated with greater phonological generalization. Conclusions Children's sleep was associated with improvement in performance on both trained and novel items. Phonological generalization was associated with brain activity during rapid eye movement sleep. This study furthers our understanding of individual differences in the acquisition of new phonological mappings and the role of sleep in this process over childhood. Supplemental Material https://doi.org/10.23641/asha.11126732.

Sleep Difficulties in Preschoolers with Psychiatric Diagnoses

Background: Sleep problems among preschoolers are highly prevalent. Given the impact of poor sleep quality on development, this relationship is particularly relevant in vulnerable populations but is less documented. This study aims to document parental perception of sleep problems in preschoolers assessed in a psychiatric clinic, as a function of diagnosis type. Methods: Children (14-71 months, n = 228) were evaluated by a psychiatrist, and diagnoses were pooled into four categories: behavioral disorders, relational disorders/psychosocial problems, developmental coordination disorder (DCD), and communication disorders. Sleep problems were measured using the Child Behavior Checklist (CBCL). Results: In this clinical sample of preschoolers, 21.6% of children were identified as having a sleep problem by their parents. Behavioral disorders and communication disorders were associated with increased parental report of sleep problems (respectively, trouble falling asleep and nighttime awakenings), while DCD was associated with lower parental report of sleep problems (fewer nighttime awakenings and less difficulty falling asleep) (p < 0.05). Relational disorders were not associated with parental reports of sleep difficulties (p > 0.05). Moreover, some psychiatric categories were associated with specific sleep symptoms (such as difficulty falling asleep and night awakenings). Conclusion: Parents of preschoolers with behavioral disorders and communication disorders are more likely to report sleep problems in their children than parents of preschoolers with DCD and relational disorders. Since different categories of psychiatric disorders are associated with specific types of sleep complaints, screening, and treatment should be adapted accordingly.

How Lifestyle Factors Affect Cognitive and Executive Function and the Ability to Learn in Children

In today's research environment, children's diet, physical activity, and other lifestyle factors are commonly studied in the context of health, independent of their effect on cognition and learning. Moreover, there is little overlap between the two literatures, although it is reasonable to expect that the lifestyle factors explored in the health-focused research are intertwined with cognition and learning processes. This thematic review provides an overview of knowledge connecting the selected lifestyle factors of diet, physical activity, and sleep hygiene to children's cognition and learning. Research from studies of diet and nutrition, physical activity and fitness, sleep, and broader influences of cultural and socioeconomic factors related to health and learning, were summarized to offer examples of research that integrate lifestyle factors and cognition with learning. The literature review demonstrates that the associations and causal relationships between these factors are vastly understudied. As a result, current knowledge on predictors of optimal cognition and learning is incomplete, and likely lacks understanding of many critical facts and relationships, their interactions, and the nature of their relationships, such as there being mediating or confounding factors that could provide important knowledge to increase the efficacy of learning-focused interventions. This review provides information focused on studies in children. Although basic research in cells or animal studies are available and indicate a number of possible physiological pathways, inclusion of those data would distract from the fact that there is a significant gap in knowledge on lifestyle factors and optimal learning in children. In a climate where childcare and school feeding policies are continuously discussed, this thematic review aims to provide an impulse for discussion and a call for more holistic approaches to support child development.