Journal of Autism and Developmental Disorders最新文献

The Anxiety Scale for Autism-Adults (ASA-A) captures the autistic anxiety experience, but we do not know whether it is structurally equivalent for men and women, or non-autistic people. Measurement invariance analysis considered gender and diagnostic status (342 cis-gender autistic men (N = 105) and women (N = 237), 316 cis-gender non-autistic men (N = 104) and women (N = 212)). Strict invariance was achieved between autistic men and women and between non-autistic men and women, but the ASA-A structure is quantitatively different in autistic compared to non-autistic adults. Therefore, this tool cannot be used to directly compare anxiety between these groups. Autistic women scored significantly higher on the ASA-A than autistic men and Uncertainty was the highest scoring factor for autistic participants. Future research should include alternative gender identities.

In studies that assess perceptions of autistic people by non-autistic people, researchers often ask participants to review vignettes depicting fictional autistic characters. However, few studies have investigated whether non-autistic peers accurately identify these hypothetical individuals as being on the autism spectrum. Accurately ascribing autism as a cause of depicted behaviors likely influences perceptions about autistic peers. In this study, 469 college students (M_age = 18.62; 79.3% female) ascribed cause(s) of an autistic peers' behaviors as depicted in a written vignette. We reviewed and categorized open-ended responses into 16 categories. Non-autistic college students primarily attributed an autistic vignette character's behavior to non-autistic origins. The most commonly ascribed causes of behavior were: attention-deficit/hyperactivity disorder (55.4%), inattention symptoms (20.9%), autism (12.8%), generalized anxiety disorder (11.7%), hyperactivity (11.3%), an unspecified diagnosis (10.7%), an environmental influence (9.6), anxiety or insecurity (8.3%), irritability or anger or annoyance (6.0%), social anxiety disorder (5.3%), and learning disorder (5.1%). Additional ascribed causes include other mental health diagnoses; environmental stressors; and cognitive, emotional, behavioral, biological, or personality characteristics/etiologies. Non-autistic young adults may not always recognize their autistic peers as autistic, which may affect acceptance and inclusion. Future anti-stigma interventions should assess the impact of helping non-autistic peers to accurately identify and better understand behaviors associated with autism. Additionally, autism-focused researchers using vignettes should assess participants' awareness of the character as autistic and interpret their findings with this in mind.

Purpose: Social anhedonia is a transdiagnostic trait that reflects reduced pleasure from social interaction. It has historically been associated with autism, however, very few studies have directly examined behavioral symptoms of social anhedonia in autistic youth. We investigated rates of social anhedonia in autistic compared to non-autistic youth and the relative contributions of autism and social anhedonia symptoms to co-occurring mental health.

Methods: Participants were 290 youth (M_age=13.75, N_autistic=155) ranging in age from 8 to 18. Youth completed a cognitive assessment and a diagnostic interview. Their caregiver completed questionnaires regarding symptoms of autism and co-occurring psychiatric conditions.

Results: Autistic youth were more likely to meet criteria for social anhedonia than non-autistic youth. There was a significant positive relationship between age and social anhedonia symptom severity, but there was no association between sex and social anhedonia. Dominance analysis revealed that social anhedonia symptom severity had the strongest association with symptoms of depression and social anxiety, while symptoms of ADHD, generalized anxiety, and separation anxiety were most strongly associated with autism symptom severity.

Conclusion: This was the first study to tease out the relative importance of social anhedonia and autism symptoms in understanding psychiatric symptoms in autistic youth. Findings revealed higher rates of social anhedonia in autistic youth. Our results indicate that social anhedonia is an important transdiagnostic trait that plays a unique role in understanding co-occurring depression and social anxiety in autistic youth. Future research should utilize longitudinal data to test the transactional relationships between social anhedonia and internalizing symptoms over time.

Objective: To examine the association between threatened miscarriage, and neurodevelopmental disorders, including autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) in offspring by age 14 years.

Methods: We used data from the Millennium Cohort Study, a nationally representative longitudinal study of children born in the UK. Data on threatened miscarriage and potential confounders were maternal-reported and collected at 9 months postpartum. Data on ASD and ADHD were based on maternal-reported doctor diagnoses and collected when children were aged 5, 7, 11 and 14 years. A diagnosis of ASD or ADHD was assumed if parents reported ASD or ADHD at age 5, 7, 11 or 14 years. Crude and adjusted logistic regression examined threatened miscarriage and ASD and ADHD relationship, adjusting for several sociodemographic, maternal and lifestyle factors.

Results: A total of 18,294 singleton babies were included at baseline, and 1,104 (6.0%) women experienced a threatened miscarriage during their pregnancy. Adjusted results suggested an association between threatened miscarriage and ASD (OR: 1.55, 95% CI 1.15, 2.08), and ADHD (OR: 1.51, 95% CI 1.09, 2.10) by age 14 years. E-values for threatened miscarriage and ASD were 2.47, while the lower limits of the 95% CI were 1.57. E-values for threatened miscarriage and ADHD were 2.39, while the corresponding lower limits of the 95% CI were 1.40.

Conclusion: Threatened miscarriage was associated with an increased likelihood of ASD and ADHD by the age of 14 years, however, residual confounding cannot be ruled out. Placental pathology may be a potential mechanism for the observed associations.

Rett syndrome is a severe neurodevelopmental disorder that affects about 1 in 10,000 females. Clinical trials of disease modifying therapies are on the rise, but there are few psychometrically sound caregiver-reported outcome measures available to assess treatment benefit. We report on a new caregiver-reported outcome measure, the Rett Caregiver Assessment of Symptom Severity (RCASS). Using data from the Rett Natural History Study (n = 649), we examined the factor structure, using both exploratory and confirmatory factor analysis, and the reliability and validity of the RCASS. The four-factor model had the best overall fit, which covered movement, communication, behavior, and Rett-specific symptoms. The RCASS had moderate internal consistency. Strong face validity was found with age and mutation type, and convergent validity was established with other similar measures, including the Revised Motor-Behavior Assessment Scale, Clinical Severity Scale, Clinical Global Impression Scale, and the Child Health Questionnaire. These data provide initial evidence that the RCASS is a viable caregiver-outcome measure for use in clinical trials in Rett syndrome. Future work to assess sensitivity to change and other measures of reliability, such as test-retest and inter-rater agreement, are needed.

Social problem solving (SPS) represents a social cognitive reasoning process that gives way to behavior when individuals are navigating challenging social situations. Autistic individuals have been shown to struggle with specific aspects of SPS, which, in turn, has been related to social difficulties in children. However, no previous work has measured how SPS components not only relate to one another but also discretely and conjointly predict autism-related symptoms and social difficulties in autistic children, specifically. Fifty-eight autistic children (44 male; 6-10 years old, M_age=8.67, SD_age=1.31) completed a self-administered, computerized assessment of SPS. To elucidate how SPS components discretely, and combined, contribute to autism-related symptoms and social difficulties, commonality analyses were conducted for each measure assessing autism-related symptoms and social difficulties. Socially normative problem identification, goal preference, and solution preference were related to fewer parent-reported autism-related social difficulties. Measures related to autism symptomatology, social perspective taking, and emotion recognition were not significantly associated with discrete SPS components in this sample. The problem identification aspect of SPS contributed the most unique variance to parent-reported autism-related social difficulties, while shared variance across all SPS components accounted for substantial variance in both parent-reported autism-related social difficulties models. Results suggest that SPS components are interrelated, but distinct, constructs in the autistic population. These findings not only further clarify the impact of SPS components on autism-related symptoms and social difficulties, but also have implications for refining SPS-focused interventions in the autistic population.

The aim of this study was to examine the reliability and validity of the Turkish version of the AFEQ for Turkish parents of children with ASD. The Turkish-translated version of the AFEQ was administered to 241 parents of children aged 2-12 years with ASD to examine the construct validity and internal consistencies. Parents completed the Autism Behavior Checklist (ABC), and Quality of Life in Autism Questionnaire Parent version, along with the AFEQ. The mean age of the children of 241 individuals in the study group was 7.63 ± 3.02 and 88.4% (n = 213) were male. Cronbach's alpha coefficient was 0.921 of the total variance. Cronbach alpha coefficients are 0.813 for the "Experience of being a parent" subscale, 0.768 for the "Family Life" subscale, 0.810 for the "Child Development, Understanding and Social Relationships" subscale, and 0.804 for the "Child Symptoms (Feelings and Behaviour)" subscale. In conclusion, the translated and culturally adapted AFEQ shows good reliability and validity to measure the priorities of autistic children and their families in Turkey. It can also be useful in monitoring the effectiveness of intervention programs and changes in the child.

This study investigated sex differences in adult autism screening by comparing self-reports on current traits (Autism Spectrum Quotient; AQ) and parent-reports on childhood traits (Relatives Questionnaire; RQ). The aim was to examine the differential contribution of these distinct measures to diagnostic classification in both sexes. The study compared 102 clinically diagnosed autistic adults (30 females) and 152 non-autistic adults (60 females), aged 17-35 years. Participants completed the AQ, while their parents completed the RQ. Multivariate analysis of variance and sex-stratified discriminant analyses were employed to evaluate measurement patterns in males and in females. Significant main effects were found for diagnostic group on both measures and for sex on the RQ only. Group × sex interactions were significant for both measures. Within the autistic group, males and females showed no significant difference in AQ scores, but females scored significantly lower than males on the RQ. Discriminant analyses revealed high classification accuracies for both males (95.1%) and females (96.7%), with different weighting patterns between males (AQ = 0.597 [CI: 0.413-0.720], RQ = 0.712 [CI: 0.553-0.789]) and females (AQ = 0.763 [CI: 0.637-0.898], RQ = 0.478 [CI: 0.191-0.616]). The findings suggest that current self-report may be more central for identifying autism in females, while a more balanced combination of current-self and past-parent reports may be optimal for males. These sex-specific patterns highlight the importance of considering both current self-reported traits and developmental history in adult autism screening, with potential implications for improving diagnostic accuracy across sexes.

Purpose: Despite the importance of monitoring changes in expressive language in early intervention, existing approaches to language assessment are often costly, time-intensive, and capture limited variability in autistic children. The Language ENvironmental Analysis (LENA) system has thus received considerable attention as an automated approach that may hold promise for capturing fine-grained changes in language development in a more efficient and cost-effective manner. However, evaluations of the utility of the LENA system for tracking response to early intervention in unstructured contexts are currently limited.

Methods: This study aimed to build on prior research through evaluating the use of LENA in the context of a well-defined clinical sample from a randomized controlled trial (RCT) of Pivotal Response Treatment (PRT) that demonstrated expressive language gains across standardized and manually-coded measures.

Results: Exploration of automatically-derived LENA metrics (i.e., child vocalizations, conversational turns) revealed no significant association with standardized language assessments (i.e., Mullen expressive language subscale, MacArthur Bates Communicative Development Inventory, Vineland-II expressive language subscale). Furthermore, relative to the delayed treatment group, children participating in PRT did not show significantly greater improvement in the number of vocalizations or conversational turns during naturalistic, daylong LENA recordings collected in home settings from baseline to post-intervention.

Conclusion: Implications and future directions for natural language sampling and the measurement of expressive language in early intervention are discussed.

Despite the importance of centering autistic perspectives in educational decision-making for autistic children, few studies have directly assessed autistic perspectives on the social acceptability of early childhood practices. We conducted an online survey to recruit perspectives of autistic adults on a current, comprehensive range of educational practices typically employed with autistic children. We also extended the survey to caregivers and early childhood practitioners, to identify commonalities and discrepancies between shareholder groups. We conducted a descriptive survey study to assess social acceptability of goals, learning contexts, and procedures typically implemented with young autistic children. We received responses from 660 individuals, 226 of whom identified as autistic. For Likert scale and ranked items, we reported median rating and ranking for each item, by shareholder group. For open-ended questions, we conducted open and axial coding, to determine consistent themes within and across shareholder groups. Respondents reported (a) high acceptability for goals promoting self-determination and low social validity for goals promoting masking; (b) high acceptability for antecedent interventions and low social validity for some forms of extinction; (c) that appropriate learning environments are highly context dependent, varying with individual needs; and (d) that the child is the most important shareholder in educational decision-making. We make recommendations to practitioners in response to survey results, including (a) respecting autistic culture and characteristics in selecting goals; (b) considering social, emotional, and psychological needs in selecting procedures; and (c) individualizing goals, learning contexts, and procedures based on the child's perspectives and unique needs.