Examining the Latent Structure and Correlates of Sensory Reactivity in Autism: A Multi-site Integrative Data Analysis by the Autism Sensory Research Consortium

Background: Differences in responding to sensory stimuli, including sensory hyperreactivity (HYPER), hyporeactivity (HYPO), and sensory seeking (SEEK) have been observed in autistic individuals across sensory modalities, but few studies have examined the structure of these “supra-modal” traits in the autistic population.

Methods: Leveraging a combined sample of 3868 autistic youth drawn from 12 distinct data sources (ages 3-18 years and representing the full range of cognitive ability), the current study used modern psychometric and meta-analytic techniques to interrogate the latent structure and correlates of caregiver-reported HYPER, HYPO, and SEEK within and across sensory modalities. Bifactor statistical indices were used to both evaluate the strength of a “general response pattern” factor for each supra-modal construct and determine the added value of “modality-specific response pattern” scores (e.g., Visual HYPER). Bayesian random-effects integrative data analysis models were used to examine the clinical and demographic correlates of all interpretable HYPER, HYPO, and SEEK (sub)constructs.

Results: All modality-specific HYPER subconstructs could be reliably and validly measured, whereas certain modality-specific HYPO and SEEK subconstructs were psychometrically inadequate when measured using existing items. Bifactor analyses supported the validity of a supra-modal HYPER construct (ωH = .800) but not a supra-modal HYPO construct (ωH = .653), and supra-modal SEEK models suggested a more limited version of the construct that excluded some sensory modalities (ωH = .800; 4/7 modalities). Modality-specific subscales demonstrated significant added value for all response patterns. Meta-analytic correlations varied by construct, although sensory features tended to correlate most with other domains of core autism features and co-occurring psychiatric symptoms (with general HYPER and speech HYPO demonstrating the largest numbers of practically significant correlations).

Limitations: Conclusions may not be generalizable beyond the specific pool of items used in the current study, which was limited to caregiver report of observable behaviors and excluded multisensory items that reflect many “real-world” sensory experiences.

Conclusion: Of the three sensory response patterns, only HYPER demonstrated sufficient evidence for valid interpretation at the supra-modal level, whereas supra-modal HYPO/SEEK constructs demonstrated substantial psychometric limitations. For clinicians and researchers seeking to characterize sensory reactivity in autism, modality-specific response pattern scores may represent viable alternatives that overcome many of these limitations.

Keywords: Autism; Hyperreactivity; Hyporeactivity; Integrative data analysis; Item response theory; Measurement; Meta-analysis; Responsiveness; Sensitivity; Sensory features; Sensory seeking.

This week’s podcast episode re-explores a question about a potential therapy for autism – minocycline. Minocycline is an antibiotic used to treat a number of different infections and some anecdotal reports have linked it to an improvement of autism. This has led to some experimental trials on minocycline, with inconclusive results. This week, a multisite study showed NO effects of minocycline for autism features or outcomes, but that doesn’t mean it is NOT a great antibiotic. If you need it, use it! Also, do autistic people spend too much time on their screens? Well, they seem to spend more time on devices and screens, but it might all be bad. Listen to the podcast for more information on this.

https://link.springer.com/article/10.1007/s10803-023-06132-1

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10709772/?report=printable

A recent publication in the Lancet was dedicated to clinical recommendations to support autistic females at birth. Because more males than females are diagnosed with autism, their needs are often misunderstood, misinterpreted, or just ignored. Researchers, clinicians, scientists, parents and self-advocates from around the world joined together to identify those needs and propose solutions that can be implemented in everyday care. Listen to this week’s podcast episode to learn more, or read the article in its entirety at the link below.

https://authors.elsevier.com/c/1i5LV8Mut2Mzvb

Everyone who has looked for support for autism spectrum disorder is familiar with waitlists. Waitlists for evaluation, diagnosis, intervention, consultations and referrals. These waitlists prevent important opportunities for services and many groups developing technologies, policies, and approaches to reduce the waitlists or work around them. On this week’s podcast, we talk to Dr. Sharief Taraman from Cognoa to hear about their recent study on the scope of the problem on waitlists, what causes them, and how digital therapeutics may help them.

Nobody ever talks about catatonia in autism. This podcast explores the symptoms of catatonia, how to measure it, what parents should know about tracking the symptoms, what the treatments are, and what the causes are. Dr. Martine Lamy from Cincinnati Children’s Hospital explains her work looking at genetic causes in those with catatonia and neurodevelopmental disorders. It’s important to do genetic testing on all individuals who present with catatonia because this information led to better treatments in some people. Identifying a genetic cause of not just catatonia but also neurodevelopmental disorders like ASD gives families a community but also allows them to identify more targeted interventions.

https://pubmed.ncbi.nlm.nih.gov/37864080/

https://pubmed.ncbi.nlm.nih.gov/37642312/

https://pubmed.ncbi.nlm.nih.gov/36708735/

https://globalgenes.org/rare-disease-patient-services/

In recognition of September 26th, this week’s podcast episode explores one of the more dangerous issues in autism: wandering. But it’s really not wandering in the traditional sense. Wandering in autism mostly means running off, bolting, deliberately with intent and without permission. Obviously this leads to some very dangerous situations for people on the spectrum. How can it be mitigated or understood? Some behavioral therapies are helpful, but new technologies have allowed for more options to bring back loved ones that have run off unexpectedly. Finally, the community needs to be better aware of possible stressors or triggers that trigger a wandering episode and work together with families to prevent running off. This problem is not caused by one thing, and the community needs multiple solutions to keep kids and adults safe.

www.september26.org

https://pubmed.ncbi.nlm.nih.gov/37492814/

https://pubmed.ncbi.nlm.nih.gov/32576789/

Background: Fidelity, or the degree to which an intervention is implemented as designed, is essential for effective implementation. There has been a growing emphasis on assessing fidelity of evidence-based practices for autistic children in schools. Fidelity measurement should be multidimensional and focus on core intervention components and assess their link with program outcomes. This study evaluated the relation between intervention fidelity ratings from multiple sources, tested the relation between fidelity ratings and child outcomes, and determined the relations between core intervention components and child outcomes in a study of an evidence-based psychosocial intervention designed to promote inclusion of autistic children at school, Remaking Recess.

Method: This study extends from a larger randomized controlled trial examining the effect of implementation support on Remaking Recess fidelity and child outcomes. Schools were randomized to receive the intervention or the intervention plus implementation support. Observers, intervention coaches, and school personnel completed fidelity measures to rate completion and quality of intervention delivery. A measure of peer engagement served as the child outcome. Pearson correlation coefficients were calculated to determine concordance between raters. Two sets of hierarchical linear models were conducted using fidelity indices as predictors of peer engagement.

Results: Coach- and self-rated completion and quality scores, observer- and self-rated quality scores, and observer- and coach-rated quality fidelity scores were significantly correlated. Higher observer-rated completion and quality fidelity scores were predictors of higher peer engagement scores. No single intervention component emerged as a significant predictor of peer engagement.

Conclusions: This study demonstrates the importance of using a multidimensional approach for measuring fidelity, testing the link between fidelity and child outcomes, and examining how core intervention components may be associated with child outcomes. Future research should clarify how to improve multi-informant reports to provide “good enough” ratings of fidelity that provide meaningful information about outcomes in community settings.

Plain language summary: Fidelity is defined as how closely an intervention is administered in the way the creators intended. Fidelity is important because it allows researchers to determine what exactly is leading to changes. In recent years, there has been an interest in examining fidelity of interventions for autistic children who receive services in school. This study looked at the relationship between fidelity ratings from multiple individuals, the relationship between fidelity and child outcomes, and the relationship between individual intervention component and child changes in a study of Remaking Recess, an intervention for autistic children at school. Schools were randomly selected to receive the intervention only or the intervention plus implementation support from the research team. Observers, intervention coaches, and individuals delivering the intervention themselves completed fidelity measures. Child engagement with peers was measured before and after the intervention. Several measures of self-, coach-, and observer-report fidelity were associated with each other. Higher observer-reported fidelity was associated with higher child peer engagement scores. No single intervention step was linked to child peer engagement and both treatment groups had similar outcomes in terms of fidelity. This study shows the importance of having multiple raters assess different parts of intervention fidelity, looking at the link between fidelity and child outcomes, and seeing how individual intervention steps may be related to outcomes. Future research should aim to find out which types of fidelity ratings are “good enough” to lead to positive changes following treatment so that those aspects can be used and targeted in the future.

Keywords: autism spectrum disorder; fidelity; implementation; school-based; social engagement intervention.

Objectives: Autism spectrum disorder (autism) is a heterogeneous condition that poses challenges in describing the needs of individuals with autism and making prognoses about future outcomes. We applied a newly proposed definition of profound autism to surveillance data to estimate the percentage of children with autism who have profound autism and describe their sociodemographic and clinical characteristics.

Methods: We analyzed population-based surveillance data from the Autism and Developmental Disabilities Monitoring Network for 20 135 children aged 8 years with autism during 2000-2016. Children were classified as having profound autism if they were nonverbal, were minimally verbal, or had an intelligence quotient <50.

Results: The percentage of 8-year-old children with profound autism among those with autism was 26.7%. Compared with children with non-profound autism, children with profound autism were more likely to be female, from racial and ethnic minority groups, of low socioeconomic status, born preterm or with low birth weight; have self-injurious behaviors; have seizure disorders; and have lower adaptive scores. In 2016, the prevalence of profound autism was 4.6 per 1000 8-year-olds. The prevalence ratio (PR) of profound autism was higher among non-Hispanic Asian/Native Hawaiian/Other Pacific Islander (PR = 1.55; 95 CI, 1.38-1.73), non-Hispanic Black (PR = 1.76; 95% CI, 1.67-1.86), and Hispanic (PR = 1.50; 95% CI, 0.88-1.26) children than among non-Hispanic White children.

Conclusions: As the population of children with autism continues to change, describing and quantifying the population with profound autism is important for planning. Policies and programs could consider the needs of people with profound autism across the life span to ensure their needs are met.

Keywords: autism; public health; surveillance.

Best practice for the assessment of autism spectrum disorder (ASD) symptom severity relies on clinician ratings of the Autism Diagnostic Observation Schedule, 2nd Edition (ADOS-2), but the association of these ratings with objective measures of children’s social gaze and smiling is unknown. Sixty-six preschool-age children (49 boys, M = 39.97 months, SD = 10.58) with suspected ASD (61 confirmed ASD) were administered the ADOS-2 and provided social affect calibrated severity scores (SA CSS). Children’s social gaze and smiling during the ADOS-2, captured with a camera contained in eyeglasses worn by the examiner and parent, were obtained via a computer vision processing pipeline. Children who gazed more at their parents (p = .04) and whose gaze at their parents involved more smiling (p = .02) received lower social affect severity scores, indicating fewer social affect symptoms, adjusted R2 = .15, p = .003.

Keywords: Autism diagnostic observation schedule; Autism spectrum disorder; Objective measurement; Smiling; Social gaze.

Everyone needed support during the pandemic, but families affected by autism needed special support. This included siblings. Researchers at Massachusetts General Hospital tried out an intervention around stress and anxiety reduction in siblings in 2020. Not only was it liked, it worked. It didn’t completely eliminate stress and anxiety, nothing would, but it did help siblings manage a little better. Can it work outside the pandemic? There are certainly other situations where siblings could use a little more support – listen to this week’s podcast to learn more.

https://pubmed.ncbi.nlm.nih.gov/36460184/

https://link.springer.com/article/10.1007/s10803-022-05500-7

https://onlinelibrary.wiley.com/doi/10.1002/aur.2987

https://onlinelibrary.wiley.com/doi/10.1002/aur.2987#aur2987-bib-0032

Two recent papers suggest that a childhood diagnosis of ASD is important for adulthood quality of life and well being. But another one points out that it isn’t the only thing, or even the primary factor, involved in improved quality of life and well-being as autistic adults age. There are others, like comorbid mental health problems, demographic factors like gender and current age. These studies were conducted by autistic researchers and did an amazing thing – one tried to replicate the other. The media got the point of these findings wrong (shocker) so today’s #ASFpodcast explains what they mean.

https://journals.sagepub.com/doi/pdf/10.1177/13623613231173056

https://journals.sagepub.com/doi/pdf/10.1177/13623613221086700?casa_token=Pt_EcbUzuDQAAAAA:_qVIXsQGRxWgoSOp4-kpLdohAr6CiB5lFYbhx8kK5omusM4rfHTjeyuzSLbxPh1OFftAc4j8BkuzCA

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9296439/