1. Chojnicka I, Wawer A. Analysis of Autistic Adolescents’ Essays Using Computer Techniques. J Autism Dev Disord;2024 (Jul 27)

PURPOSE: Challenges associated with narrative discourse remain consistently observable across the entire spectrum of autism. We analyzed written narratives by autistic and non-autistic adolescents and aimed to investigate narrative writing using quantitative computational methods. METHODS: We employed Natural Language Processing techniques to compare 333 essays from students in the final eighth grade of primary school: 195 written by autistic and 138 by non-autistic participants. RESULTS: Autistic students used words with a positive emotional polarity statistically less frequently (p < .001), and their stories were less abstract (p < .001) than those written by peers from the non-autistic group. However, autistic adolescents wrote more complex stories in terms of readability than participants from the non-autistic group (p < .001). The writing competencies assessed by teachers did not differ significantly between the two groups. CONCLUSION: Findings suggest that written narratives by autistic individuals may exhibit characteristics similar to those detected by computational methods in spoken narratives. Collecting data from national exams and its potential usefulness in distinguishing autistic individuals could pave the way for future large-scale and cost-effective epidemiological studies on autism.

Lien vers le texte intégral (Open Access ou abonnement)

2. Liu MH, Chiang FM, Chen CT, Yang HC, Chen KL. Development and Psychometric Examination of a New Social Competence Outcome Measure for Children with Autism Spectrum Disorder: The Observational Social Competence Assessment. J Autism Dev Disord;2024 (Jul 27)

Current assessments of social competence for children with autism spectrum disorder (ASD) are mostly designed for screening or diagnosis, not for measuring outcomes. This study aimed to develop a professional-administrated outcome measure, the Observational Social Competence Assessment (OSCA), and examine its psychometric properties. The OSCA was constructed based on a multidimensional view of social competence (i.e., social skill elements, social reciprocity, and social adjustment). For psychometric evaluation, 89 children with ASD between 3 and 12 years (mean = 70.69 months, SD = 15.31) were assessed with the OSCA and with assessments of ASD symptoms, verbal comprehension ability, and adaptive function. The results show that the OSCA has good internal consistency (Cronbach’s α = 0.820-0.954), test-retest reliability (intraclass correlation coefficients [ICC] = 0.917-0.960), and inter-rater reliability (ICC = 0.905-0.974). The OSCA also has good convergent (r = 0.508-0.703, p < 0.01) and divergent validity (r = 0.105, p = 0.496), as well as good responsiveness to changes in the social adjustment dimension (Cohen's d = 1.26 and standardized response mean [SRM] = 1.92). Conclusively, these results show that the OSCA is sufficiently reliable, valid and responsive to be applied as an outcome measure of social competence in children with ASD.

Lien vers le texte intégral (Open Access ou abonnement)

3. Mayes SD, Pardej SK, Waschbusch DA. Oppositional Defiant Disorder in Autism and ADHD. J Autism Dev Disord;2024 (Jul 27)

Our study compared oppositional defiant disorder (ODD) in children with autism to ADHD-Combined presentation and ADHD-Inattentive presentation. Mothers of 2,400 children 3-17 years old with autism and/or ADHD completed the Pediatric Behavior Scale. ADHD-Combined was most strongly associated with ODD, with an ODD prevalence of 53% in children with ADHD-Combined only. When autism was added to ADHD-Combined, prevalence increased to 62% and the ODD score increased significantly. Autism+ADHD-Inattentive, Autism Only, and ADHD-Inattentive Only had ODD prevalences of 28%, 24% and 14%. In each diagnostic group, ODD had the same two factors (irritable/angry and oppositional/defiant); demographic differences between children with and without ODD were few; and correlations between ODD and conduct problems were large, correlations with depression were medium, and correlations with anxiety were small. However, ODD scores differed significantly between groups (Autism+ADHD-Combined > ADHD-Combined Only > Autism+ADHD-Inattentive and Autism Only > ADHD-Inattentive Only). The irritable/angry ODD component was greater in Autism+ADHD-Combined than in ADHD-Combined Only, whereas the oppositional/defiant component did not differ between the two groups. Autism was a significant independent risk factor for ODD, particularly the irritable/angry ODD component, but ADHD-Combined was the strongest risk factor. Therefore, the high co-occurrence of ADHD-Combined in autism (80% in our study) largely explains the high prevalence of ODD in autism. ADHD-Combined, autism, and ODD are highly comorbid (55-90%). Clinicians should assess all three disorders in referred children and provide evidence-based interventions to improve current functioning and outcomes for children with these disorders and reduce family and caretaker stress.

Lien vers le texte intégral (Open Access ou abonnement)

4. Miller-Fleming TW, Allos A, Gantz E, Yu D, Isaacs DA, Mathews CA, Scharf JM, Davis LK. Developing a phenotype risk score for tic disorders in a large, clinical biobank. Transl Psychiatry;2024 (Jul 28);14(1):311.

Tics are a common feature of early-onset neurodevelopmental disorders, characterized by involuntary and repetitive movements or sounds. Despite affecting up to 2% of children and having a genetic contribution, the underlying causes remain poorly understood. In this study, we leverage dense phenotype information to identify features (i.e., symptoms and comorbid diagnoses) of tic disorders within the context of a clinical biobank. Using de-identified electronic health records (EHRs), we identified individuals with tic disorder diagnosis codes. We performed a phenome-wide association study (PheWAS) to identify the EHR features enriched in tic cases versus controls (n = 1406 and 7030; respectively) and found highly comorbid neuropsychiatric phenotypes, including: obsessive-compulsive disorder, attention-deficit/hyperactivity disorder, autism spectrum disorder, and anxiety (p < 7.396 × 10(-5)). These features (among others) were then used to generate a phenotype risk score (PheRS) for tic disorder, which was applied across an independent set of 90,051 individuals. A gold standard set of tic disorder cases identified by an EHR algorithm and confirmed by clinician chart review was then used to validate the tic disorder PheRS; the tic disorder PheRS was significantly higher among clinician-validated tic cases versus non-cases (p = 4.787 × 10(-151); β = 1.68; SE = 0.06). Our findings provide support for the use of large-scale medical databases to better understand phenotypically complex and underdiagnosed conditions, such as tic disorders.

Lien vers le texte intégral (Open Access ou abonnement)

5. Mingins JE, Tarver J, Pearson E, Edwards G, Bird M, Crawford H, Oliver C, Shelley L, Waite J. Development and psychometric properties of the Clinical Anxiety Scale for People with Intellectual Disabilities (ClASP-ID). J Neurodev Disord;2024 (Jul 27);16(1):43.

BACKGROUND: There is a critical need for the development of dependable and valid anxiety assessment tools suitable for people with moderate to severe intellectual disabilities, particularly those who speak few or no words. Distinguishing anxiety from distress caused by physical discomfort (pain) or characteristics associated with autism, prevalent in this population, necessitates specialised assessment tools. This study (a) developed a parent-report anxiety questionnaire tailored for individuals with severe to moderate intellectual disabilities, potentially with a co-diagnosis of autism, and (b) evaluated the psychometric attributes of this novel measure. METHODS: A comprehensive approach involving literature reviews, inspection of existing tools, and interviews with clinicians and parents guided the creation of the Clinical Anxiety Scale for People with Intellectual Disabilities. The tool was completed by parents or caregivers (N = 311) reporting on individuals aged 4 or older with intellectual disabilities. RESULTS: Exploratory factor analysis indicated a four-factor structure encompassing anxiety, pain, low energy/withdrawal, and consolability. The anxiety factor explained the most variance in scores (26.3%). The anxiety, pain, low energy/withdrawal subscales demonstrated robust internal consistency (α = 0.81-0.92), and convergent, divergent, and discriminant validity. Robustness of these subscales was further evidenced by test-retest reliability (ICC = 0.79-0.88) and inter-rater reliability (ICC = 0.64-0.71). Subgroup analyses consistently demonstrated strong psychometric properties among individuals diagnosed with non-syndromic autism (N = 98), children (N = 135), adults (N = 175), and across diverse communication abilities within the sample. Moreover, individuals diagnosed with both autism and anxiety exhibited significantly higher scores on the anxiety subscale compared to those without an anxiety diagnosis, while showing no difference in autism characteristic scores. CONCLUSIONS: The findings indicate that the Clinical Anxiety Scale for People with Intellectual Disabilities is a promising measure for use across diverse diagnostic groups, varying communication abilities, and with people with moderate to severe intellectual disabilities.

Lien vers le texte intégral (Open Access ou abonnement)

6. Shepherd D, Buchwald K, Siegert RJ, Vignes M. Using network analysis to identify factors influencing the heath-related quality of life of parents caring for an autistic child. Res Dev Disabil;2024 (Jul 26);152:104808.

BACKGROUND: Raising an autistic child is associated with increased parenting stress relative to raising typically developing children. Increased parenting stress is associated with lower parent wellbeing, which in turn can negatively impact child wellbeing. AIMS: The current study sought to quantify parenting stress and parent health-related quality of life (HRQOL) in the autism context, and further understand the relationship between them by employing a relatively novel statistical method, Network Analysis. METHODS AND PROCEDURES: This cross-sectional study involved 476 parents of an autistic child. Parents completed an online survey requesting information on parent and child characteristics, parent’s perceptions of their autistic child’s symptoms and problem behaviours, and assessed their parenting stress and HRQOL. OUTCOMES AND RESULTS: Relative to normative data, parent HRQOL was significantly lower in terms of physical health and mental wellbeing. The structure extracted by the Network Analysis indicated that child age and externalising behaviours were the main contributors to parenting stress, and that externalising behaviours, ASD core behavioural symptoms, and parenting stress predicted HRQOL. CONCLUSIONS AND IMPLICATIONS: Parental responses to child-related factors likely determine parent HRQOL. Findings are discussed in relation to the transactional model, emphasising the importance of both parent and child wellbeing.

Lien vers le texte intégral (Open Access ou abonnement)

7. Steinhausen HC, Villumsen MD, Støving RK, Bilenberg N. Complete Spectrum of Physical Comorbidities with Autism Spectrum Disorder in a Nationwide Cohort. J Autism Dev Disord;2024 (Jul 27)

The associations between autism spectrum disorder (ASD) and physical diseases (PD) based on ICD-8 and ICD-10 diagnoses were studied, comparing with the risks of the general population. All individuals diagnosed before 30th April 2018 with ASD (n = 12,063) and a 5% random sample of the general population (n = 41,251) were drawn from Danish registers of the birth cohorts 1984-1995. For each of the entire spectrum of 13 PD categories, participants were followed from birth to first diagnosis, death, emigration, or 31st December 2017, whichever came first. Time from inclusion at birth to time of first physical diagnosis, accounting for censoring, was studied by use of time-stratified Cox models. When compared to the control sample, the individuals with ASD had a substantial added immediate risk in infancy and in childhood for 12 of the 13 categories. Particularly prominent were estimated associations for nervous system diseases at ages 0-9, and diseases of the eye and adnexa at ages 0-11. The associations were observed for both sexes, but were stronger among females than males, especially for genitourinary system diseases. On the cumulative scale, individuals with ASD were at pronounced greater risk through follow-up for 8 categories, with the greatest cumulative risk of respiratory system diseases, which at ages 5 and 30 was 24.9% and 41.5% for the ASD cohort while for the control sample it was 16.3% and 34.5% at the same ages. Especially in infancy and childhood, the present study found increased risks for a multitude of physical diseases.

Lien vers le texte intégral (Open Access ou abonnement)