ASD Screening with the Child Behavior Checklist/1.5-5 in the Study to Explore Early Development

Developmental Patterns in Autism and Other Neurodevelopmental Disorders in Preschool Children

BACKGROUND

Neurodevelopmental disorders (NDDs) encompass an inclusive group of conditions that appear during the developmental period but continue to persist in adulthood, ranging from particular difficulties to a global impairment of social, cognitive, and emotional functioning. The developmental trajectories associated with these conditions are highly heterogeneous. This study aimed to analyze and compare developmental and adaptive profiles of preschool-aged children with different NDDs to better characterize their developmental trajectories.

METHODS

We analyzed data from the initial global evaluation of 196 children with NDDs (aged 20 to 71 months), enrolled in three subgroups: 108 with autism spectrum disorder (ASD), 52 with language disorder (LD), and 36 with mixed specific developmental disorder (MSDD). A comprehensive neuropsychiatric evaluation was performed using standardized tools (Griffiths-III, ADOS-2, VABS-II, and ADI-R), and the parents completed the DP-3 and the CBCL 1½-5.

RESULTS

Our results showed that all NDDs exhibited poor psychomotor skills, with children with ASD being the most impaired, although their profiles were comparable to those of MSDD in communication and motor areas. CBCL's pervasive developmental problem scale has been shown to provide relevant information for distinguishing children with ASD. Furthermore, DP-3 and VABS-II measure highly differentiated developmental profiles of each diagnostic group.

CONCLUSIONS

Our results highlighted the importance of including parents'/caregivers' perspectives in defining children's functioning and the possibility of using DP-3 as a screening tool for different neurodevelopmental disorders.

Maternal selenium deficiency during pregnancy in association with autism and ADHD traits in children: The Odense Child Cohort

BACKGROUND

Selenoproteins regulate pathways controlling neurodevelopment, e.g., redox signaling and thyroid hormone metabolism. However, studies investigating maternal selenium in relation to child neurodevelopmental disorders are scarce.

METHODS

719 mother-child pairs from the prospective population-based Odense Child Cohort study in Denmark were included. Three selenium biomarkers, i.e. concentrations of serum selenium, selenoprotein P (SELENOP), and activity of glutathione peroxidase 3 (GPX3), along with serum copper, zinc and iron were measured in early third trimester (at 28.9+/-0.8 weeks of pregnancy). ADHD and ASD traits in children were assessed systematically using the established Child Behaviour Checklist at 5 years of age, based on a Danish reference cohort with cut-off at 90th percentile. Multivariable regression models adjusted for biologically relevant confounders were applied.

RESULTS

155 of 719 (21.6 %) children had ASD traits and 59 of 719 (8.2 %) children had traits of ADHD at 5 years of age. In crude and adjusted models, all three selenium biomarkers associated inversely with ADHD traits. For ADHD, fully adjusted OR for 10 μg/L increment in selenium was 0.76 (95 % CI 0.60, 0.94), for one mg/L increment in SELENOP was 0.73 (0.56, 0.95), and for 10 U/L increment in GPx3 was 0.93 (0.87,1.00). Maternal total selenium was inversely associated with child ASD traits, OR per 10 μg/L increment was 0.85 (0.74, 0,98). SELENOP and GPx3 were not associated with ASD traits. The associations were specific to selenium, as other trace elements such as copper, zinc, or iron were not associated with the outcomes.

CONCLUSIONS

The results provide coherent evidence for selenium deficiency as a risk factor for ADHD and ASD traits in an environment with borderline supply, the causality of which should be elucidated in a randomized controlled trial.

Screening for Autism: A Review of the Current State, Ongoing Challenges, and Novel Approaches on the Horizon

Screening for autism is recommended in pediatric primary care. However, the median age of autism spectrum disorder (ASD) diagnosis is substantially higher than the age at which autism can reliably be identified, suggesting room for improvements in autism recognition at young ages, especially for children from minoritized racial and ethnic groups, low-income families, and families who prefer a language other than English. Novel approaches are being developed to utilize new technologies in aiding in autism recognition. However, attention to equity is needed to minimize bias. Additional research on the benefits and potential harms of universal autism screening is needed. The authors provide suggestions for pediatricians who are considering implementing autism-screening programs.

Affect Recognition, Theory of Mind, and Empathy in Preschool Children with Externalizing Behavior Problems-A Group Comparison and Developmental Psychological Consideration

Preschool mental disorders are often associated with significant interpersonal problems, related to impaired affect recognition, theory of mind (ToM), and empathy. To date, these skills have not been studied together in preschoolers with externalizing behavior problems (EBPs). The aim of the present study was to investigate whether and to what extent preschool children with EBPs show impairments in affect recognition, ToM, and empathy. Preschoolers with EBPs, defined by current psychiatric treatment and T-scores ≥ 60 on the externalizing problem scale of the Child Behavior Checklist (CBCL/1½-5 or 6-18R) were compared to non-clinical controls (HCs), defined by no past and no current psychiatric treatment and T-scores < 60 on all CBCL broad-band scales. Groups were compared on affect recognition (NEuroPSYchological Assessment-II), affective ToM (Test of Emotion Comprehension), cognitive ToM (Extended Theory-of-Mind Scale), parent-reported emotional contagion, attention to others' feelings, and prosocial action (Empathy Questionnaire), IQ and language (Wechsler Preschool and Primary Scale of Intelligence-III Matrices, Active and Passive Vocabulary test), controlling for age, sex, and language abilities. Compared to 28 HCs, 22 preschoolers with EBPs (total sample meanage = 5.5 years +/- 0.8 years, range= 4.2-6.9 years, males 66%) had significantly greater impairments in cognitive ToM (p = 0.0012, η2 = 0.266), attention to others' feelings (p = 0.0049, η2 = 0.222), and prosocial action (p = 0.0070, η2 = 0.210), each representing strong effect sizes. EBPs were significantly related to cognitive domains, like prosocial action (r = -0.501), cognitive ToM (r = -0.425), and attention to others' feelings (r = -0.332), but not to affective domains of social cognition. Social cognitive development may be impaired as early as preschool age and should be promoted before the child starts school.

Emotional and Behavioral Problems of Children with ASD-The Lessons That We Learned from the Pandemic

The data available for changes in the behavior and emotional state of children with ASD (autism spectrum disorder) in lockdown situations are controversial and scarce. In our research, we compare results before the first COVID-19 lockdown of 21 children with ASD and 21 typically developing children, four to five years of age with those obtained immediately after. The study attempts to answer the question of whether there are changes in the levels of emotional and behavioral problems in children with ASD after the lockdown and how these new living conditions affect some aspects of their functioning. The instruments used for data analysis are the Childhood Autism Spectrum Test (CAST); Child Behavior Checklist (CBCL); Survey on the consequences of COVID-19 on the life and development of the participants. No significant differences in the emotional and behavioral state of the participants were found, except for attention deficit/hyperactivity problems where ASD children showed lower levels after the lockdown. ASD group parents' answers to the survey pointed towards more positive consequences of staying at home. Some reported they had more time for learning together, communicating, playing, and assisting the learning process through online therapy. As negatives, the parents of ASD children reported low physical activity, increased time with electronic devices, and time spent with the same people. Caregivers of typically developing children agreed that the lockdown had only negative effects. To conclude, for children with ASD in the study, the lockdown period demonstrated that more time spent with parents in structured everyday activities is an opportunity that can lead to positive results in their behavior.

Maternal cortisol in 3rd trimester is associated with traits of neurodevelopmental disorder in offspring. Odense Child Cohort

BACKGROUND

Prenatal cortisol exposure is essential for neurodevelopment. Maternal cortisol levels could be associated with offspring autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD).

AIM

To investigate associations between maternal 3rd trimester cortisol and offspring traits of ASD and ADHD.

MATERIAL AND METHODS

Mother-child pairs were included from the prospective study Odense Child Cohort. Morning serum cortisol and 24-hour urine cortisol/cortisone were collected at gestational week 27-30. Offspring ASD and ADHD traits were assessed at age three and five years using the Child Behavior Checklist. Maternal cortisol measurements and offspring ASD and ADHD traits assessment were available in (n = 1131; 52% boys) mother-child pairs at age three and (n = 717; 54% boys) at five years of age. Maternal 24-hour urine measurement was available in a subset, at offspring three years of age (n = 300) and at five years of age (n = 217). Associations between maternal cortisol (continuous and tertiles) and offspring ASD or ADHD traits were examined in regression models adjusted for offspring sex, maternal age, pre-pregnancy BMI, parity, maternal education level, parental psychiatric disorders, and maternal smoking and stratified for offspring sex.

RESULTS

Maternal mean age ( ± SD) was 30 years ( ± 4.4) and median BMI (25%; 75% percentiles) 23.5 kg/m² (21.3; 26.6). Higher maternal serum cortisol levels were associated with higher prevalence of offspring ASD traits at three years of age in the total study cohort and in boys after stratifying for offspring sex. In the total population, tertiles of serum cortisol showed a significant dose-response relationship to ASD traits in unadjusted and adjusted models (p-values for linear trend, p < 0.01 and p = 0.02, respectively). In offspring at five years, associations between maternal cortisol and offspring ASD traits were non-significant (all p-values > 0.2). Maternal cortisol was not associated with offspring ADHD traits (all p-values > 0.07) in offspring at three and five years. Maternal 24-hour urine cortisol, cortisone, or cortisol/cortisone ratio were not associated with offspring ASD or ADHD traits.

CONCLUSION

Higher maternal serum cortisol in 3rd trimester was associated with offspring ASD traits at three years of age in the whole study cohort and in boys, but not in girls. This association was non-significant at five years of age.

Prenatal Androgen Exposure and Traits of Autism Spectrum Disorder in the Offspring: Odense Child Cohort

Fetal androgen exposure may be associated with autism spectrum disorder (ASD). We studied 1777 mother-child pairs in the prospective Odense Child Cohort. Prenatal androgen exposure was assessed by maternal 3rd trimester testosterone concentrations, maternal polycystic ovary syndrome (PCOS), and 3 months offspring anogenital distance. ASD traits were assessed at age 3 years with the ASD-symptom scale of the Child Behavior Checklist for ages 1½-5 years. Maternal testosterone was positively associated with traits of ASD in boys (p < 0.05). Maternal PCOS was associated with increased offspring ASD traits (p = 0.046), but became non-significant after excluding parental psychiatric diagnosis. Offspring anogenital distance was not linked to ASD traits. Higher prevalence of ASD in boys could be linked to higher susceptibility to fetal androgen exposure.

Early life environmental factors associated with autism spectrum disorder symptoms in children at age 2 years: A birth cohort study

LAY ABSTRACT

Mounting evidence indicates the contribution of early life environmental factors in autism spectrum disorder. We aim to report the prospective associations between early life environmental factors and autism spectrum disorder symptoms in children at the age of 2 years in a population-derived birth cohort, the Barwon Infant Study. Autism spectrum disorder symptoms at the age of 2 years strongly predicted autism spectrum disorder diagnosis by the age of 4 years (area under curve = 0.93; 95% CI (0.82, 1.00)). After adjusting for child's sex and age at the time of behavioural assessment, markers of socioeconomic disadvantage, such as lower household income and lone parental status; maternal health factors, including younger maternal age, maternal pre-pregnancy body mass index, higher gestational weight gain and prenatal maternal stress; maternal lifestyle factors, such as prenatal alcohol and environmental air pollutant exposures, including particulate matter < 2.5 μm at birth, child secondhand tobacco smoke at 12 months, dampness/mould and home heating with oil, kerosene or diesel heaters at 2 years postnatal. Lower socioeconomic indexes for area, later birth order, higher maternal prenatal depression and maternal smoking frequency had a dose-response relationship with autism spectrum disorder symptoms. Future studies on environmental factors and autism spectrum disorder should consider the reasons for the socioeconomic disparity and the combined impact of multiple environmental factors through common mechanistic pathways.

Child Autistic Traits, Food Selectivity, and Diet Quality: A Population-Based Study

BACKGROUND

Children with Autism Spectrum Disorders (ASDs) tend to be selective in their food intake, which may compromise their diet quality. While ASD diagnoses capture severe levels of impairment, autistic traits vary on a continuum throughout the population. Yet, little is known about how autistic traits relate to diet quality at the population level.

OBJECTIVES

This study examines the association between autistic traits in early childhood and diet quality in mid-childhood and explores the mediating role of food selectivity.

METHODS

Participants were children (n = 4092) from the population-based Generation R Study. Parents reported their child's autistic traits at 1.5, 3, and 6 years; food selectivity at 4 years; and food intake at 8 years, from which a diet quality score was derived. Associations of autistic traits and the autistic trait trajectory (identified using Latent Class Growth Modelling) with diet quality were examined using multiple linear regression models. The indirect effect of food selectivity in the association between autistic traits at 1.5 years and diet quality was examined using mediation analysis.

RESULTS

Autistic traits were associated with diet quality (e.g., 1.5 years: β = -0.09; 95% CI: -0.13 to -0.06). Two classes captured the autistic trait trajectories from 1.5 to 6 years: children with "low and stable" (95%) and "high and increasing" (5%) mean scores. Children in the high and increasing group had poorer diet quality than those in the low and stable group (β = -0.28; 95% CI: -0.44 to -0.11). Food selectivity mediated the association between autistic traits at 1.5 years and diet quality at 8 years (βindirect = -0.03; 95% CI: -0.03 to -0.02).

CONCLUSIONS

Autistic traits in early childhood are associated with poorer diet quality in mid-childhood, and food selectivity appears to mediate this association. Interventions intended to optimize nutrition in children with elevated autistic traits may integrate behavioral strategies to support parents' responding to their child's food selectivity.

Profile of Autism Spectrum Disorder in Tuberous Sclerosis Complex: Results from a Longitudinal, Prospective, Multisite Study

OBJECTIVE

Tuberous sclerosis complex (TSC) is highly associated with autism spectrum disorder (ASD). Objectives of the study were to characterize autistic features in young children with TSC.

METHODS

Participants included 138 children followed from ages 3 to 36 months with TSC from the Tuberous Sclerosis Complex Autism Center of Excellence Research Network (TACERN), a multicenter, prospective observational study aimed at understanding the underlying mechanisms of ASD in TSC. Developmental and autism-specific assessments were administered, and a clinical diagnosis of ASD was determined for all participants at 36 months. Further analyses were performed on 117 participants with valid autism assessments based on nonverbal mental age greater than 15 months.

RESULTS

Prevalence of clinical diagnosis of ASD at 36 months was 25%. Nearly all autistic behaviors on the Autism Diagnostic Observation Schedule-2 (ADOS-2) and Autism Diagnostic Interview-Revised (ADI-R) were more prevalent in children diagnosed with ASD; however, autism-specific behaviors were also observed in children without ASD. Overall quality of social overtures, facial expressions, and abnormal repetitive interests and behaviors were characteristics most likely to distinguish children with ASD from those without an ASD diagnosis. Participants meeting ADOS-2 criteria but not a clinical ASD diagnosis exhibited intermediate developmental and ADOS-2 scores compared to individuals with and without ASD.

INTERPRETATION

ASD is highly prevalent in TSC, and many additional individuals with TSC exhibit a broad range of subthreshold autistic behaviors. Our findings reveal a broader autism phenotype that can be identified in young children with TSC, which provides opportunity for early targeted treatments. ANN NEUROL 2021.

The Autism Detection in Early Childhood Tool: Level 2 autism spectrum disorder screening in a NICU Follow-up program

OBJECTIVE

Children born preterm are at increased risk for autism spectrum disorder (ASD). However, early diagnosis of ASD is challenging because conventional screening Level 1 tools are less reliable in this population. We sought to determine whether the Autism Detection in Early Childhood (ADEC) and Child Behavior Checklist (CBCL) could accurately identify children at risk for ASD in a NICU Follow-up setting and thus facilitate referral for formal ASD evaluation.

METHOD

Children aged 18-36 months were recruited from a NICU Follow-up program. All children received presumptive diagnoses based on DSM-5 criteria and were screened for ASD risk with the ADEC and CBCL. Children scoring in the "at risk" range on either tool were referred for a full diagnostic ASD evaluation.

RESULTS

Sixty-nine patients (median birth weight 1140 g; median gestational age 28 weeks) were included with 18 designated "at risk" for ASD. Nine (13 %) scored "at risk" on the ADEC and 12 (17 %) on the CBCL. Thirteen children underwent diagnostic ASD evaluation with 9 receiving a formal diagnosis of ASD. The ADEC demonstrated the best performance (sensitivity 89 %, specificity 98 %). The CBCL was less sensitive (sensitivity 50 %, specificity 90 %). Requiring elevated scores on both the CBCL and ADEC was specific but not sensitive (sensitivity 33 %, specificity 100 %).

CONCLUSION

The ADEC performed well in identifying children at risk for ASD within this high-risk NICU cohort, adding benefit as an autism-specific screening tool over the CBCL alone.

Brief Report: Examining Test-Retest Reliability of the Autism Diagnostic Observation Schedule (ADOS-2) Calibrated Severity Scores (CSS)

Describing the relative severity and change in autism symptoms is crucial for the appropriate characterization of clinical and research populations. The calibrated severity score (CSS) of the Autism Diagnostic Observation Schedule-2 (ADOS-2; Lord et al., 2012) was created to better describe autism symptom severity consistently across different ages and language levels. The CSS has been widely used to quantify and compare symptom severity on a 10-point scale across Modules; however, its test re-test reliability has not been studied. With 608 ADOS observations, we showed strong test re-test reliability of the CSS across all ADOS Modules. The results support the use of the ADOS CSS as a reliable tool to quantify autism symptom severity across development.

Autism spectrum disorder screening in preschools

LAY ABSTRACT

With professional training and regular opportunities to observe children interacting with their peers, preschool teachers are in a good position to notice children's autism spectrum disorder symptomatology. Yet even when a preschool teacher suspects that a child may have autism spectrum disorder, fear of false alarm may hold the teacher back from alerting the parents, let alone suggesting them to consider clinical assessment for the child. A valid and convenient screening tool can help preschool teachers make more informed and hence more confident judgment. We set out to develop a screening tool that capitalizes on peer interaction as a naturalistic "stress test" to identify children more likely than their peers to have autism spectrum disorder. A total of 304 3- to 4-year-olds were observed at school with an 84-item preliminary checklist; data-driven item reduction yielded a 13-item Classroom Observation Scale. The Classroom Observation Scale scores correlated significantly with Autism Diagnostic Observation Schedule-2 scores. To validate the scale, another 322 2- to 4-year-olds were screened using the Classroom Observation Scale. The screen-positive children and randomly selected typically developing peers were assessed for autism spectrum disorder 1.5 years later. The Classroom Observation Scale as used by teachers and researchers near preschool onset predicted autism spectrum disorder diagnoses 1.5 years later. This user-friendly 13-item Classroom Observation Scale enables teachers and healthcare workers with little or no clinical training to identify, with reliable and valid results, preschoolers more likely than their peers to have autism spectrum disorder.

A Combined Study on the Use of the Child Behavior Checklist 1½-5 for Identifying Autism Spectrum Disorders at 18 Months

The capacity of the Child Behavior Checklist 1½-5 (CBCL 1½-5) to identify children with autism spectrum disorder (ASD) at 18 months was tested on 37 children clinically referred for ASD and 46 children at elevated likelihood of developing ASD due to having an affected brother/sister. At 30 months the clinically referred children all received a confirmatory diagnosis, and 10 out of 46 siblings received a diagnosis of ASD. CBCL 1½-5 profiles were compared with a group of matched children with typical development (effect of cognitive level controlled for). The capacity of the CBCL 1½-5 DSM Oriented-Pervasive Developmental Problems scale to differentiate correctly between children diagnosed with ASD and children with typical development appeared dependent on group ascertainment methodology.

The CBCL/1½-5's DSM-ASD Scale: Confirmatory Factor Analyses Across 24 Societies

Previous research supports the CBCL/1½-5's DSM-ASD scale (and its precursor, the DSM-PDP scale) as a Level 1 ASD screener. Confirmatory factor analyses (CFAs) with data from population samples in 24 societies (N = 19,850) indicated good measurement invariance across societies, especially for configural and metric invariance. Items 4. 25, 67, 80, and 98 may be especially good discriminators of ASD because they have tend to have low base rates, strong loadings on the ASD latent construct, and the best measurement invariance across societies. Further research is needed to test the discriminative power of these items in predicting ASD, but our strong measurement findings support the international psychometric robustness of the CBCL/1½-5's DSM-ASD scale.

International comparisons of autism spectrum disorder behaviors in preschoolers rated by parents and caregivers/teachers

This study tested international similarities and differences in scores on a scale comprising 12 items identified by international mental health experts as being very consistent with the Diagnostic and Statistical Manual of Mental Disorders (5th ed.) category of autism spectrum disorder. Participants were 19,850 preschoolers in 24 societies rated by parents on the Child Behavior Checklist for Ages 1½-5; 10,521 preschoolers from 15 societies rated by caregivers/teachers on the Caregiver-Teacher Report Form, and 7380 children from 13 societies rated by both types of informant. Rank ordering of the items with respect to base rates and mean ratings was more similar across societies for parent ratings than caregiver/teacher ratings, especially with respect to the items tapping restricted interests and repetitive behaviors. Items 80. Strange behavior; 63. Repeatedly rocks head or body; 67. Seems unresponsive to affection; and 98. Withdrawn, doesn't get involved with others had low base rates in these population samples across societies and types of informants, suggesting that they may be particularly discriminating for identifying autism spectrum disorder in young children. Cross-informant agreement was stronger for the items tapping social communication and interaction problems than restricted interests and repetitive behaviors. The findings support the feasibility of international use of the scale for autism spectrum disorder screening in population samples.