Importance: Although three sensory factors (hyperresponsiveness [HYPO]; hyporesponsiveness [HYPER]; and sensory interests, repetitions, and seeking behaviors [SIRS]) have been demonstrated among a wide age range of clinical populations, they have not been well validated in the general population, especially with a large community sample of young children. Objective: To validate the factor structure of the Sensory Experiences Questionnaire (Version 2.1, Short Form; SEQv2.1) in a community sample and to confirm the factor structure’s existence in this sample. Design: Caregivers completed the SEQv2.1, a parent-reported questionnaire designed to capture children’s everyday sensory experiences. The latent factors of the SEQv2.1 were examined using confirmatory factor analysis. Setting: North Carolina. Participants: Caregivers of 2,195 children age 3 yr were initially recruited through state birth records and were eligible to participate if the child did not have a history of serious medical problems and English was the family’s primary language. Outcomes and Measures: SEQv2.1. Results: The SEQv2.1 showed validity in the community sample. Similar to previous research with clinical populations, the three broad patterns of sensory responsiveness were also confirmed in this large community sample of young children, but associations among the factors differed. Conclusions and Relevance: Validation of the three-sensory-factor structure in the general population suggests that these constructs are similar to those found with samples of participants with autism spectrum disorder and developmental disabilities. This finding underscores the importance of understanding the normative development of sensory features across a wider age range to better delineate qualitative differences underlying sensory features between clinical and general populations. What This Article Adds: Occupational therapists seeking to assess children’s sensory features can use the SEQv2.1 not only with clinical samples but also with children in the general population.

This prospective study examined the latent growth trajectories of sensory patterns among a North Carolina birth cohort (N = 1517; 49% boys, 87% White) across infancy (6–19 months), preschool (3–4 years), and school years (6–7 years). Change rates of sensory hyper‐ and hyporesponsiveness better differentiated children with an autism diagnosis or elevated autistic traits from those with other developmental conditions, including non‐autistic children with sensory differences. More sensory hyper‐ and hyporesponsiveness at infancy followed by steeper increases differentially predicted more autistic traits at school age. Further, children of parents with higher education tended to show stable or improving trajectories. These findings highlight the importance of tracking sensory patterns from infancy for facilitating early identification of associated challenges and tailored support for families.

Recent advances in longitudinal methodologies for observational studies have contributed to a better understanding of Autism as a neurodevelopmental condition characterized by within-person and between-person variability over time across behavioral domains. However, this finer-grained approach to the study of developmental variability has yet to be applied to Autism intervention science. The widely adopted experimental designs in the field—randomized control trials and quasi-experimental designs—hold value for inferring treatment effects; at the same time, they are limited in elucidating what works for whom, why, and when, given the idiosyncrasies of neurodevelopmental disorders where predictors and outcomes are often dynamic in nature. This perspective paper aims to serve as a primer for Autism intervention scientists to rethink the way we approach predictors of treatment response and treatment-related change using a dynamic lens. We discuss several empirical gaps, and potential methodological challenges and opportunities pertaining to: (1) capturing finer-grained treatment effects in specific behavioral domains as indexed by micro-level within-person changes during and beyond intervention; and (2) examining and modeling dynamic prediction of treatment response. Addressing these issues can contribute to enhanced study designs and methodologies that generate evidence to inform the development of more personalized interventions and stepped care approaches for individuals on the heterogeneous spectrum of Autism with changing needs across development.

Early detection of autism risk in the community is critical to increasing families' access to early intervention, yet few measures have been developed and tested for the general population of infants <16 months to tap a broader range of autism risk constructs. This study aimed to (a) examine the factor structure of the First Years Inventory, version 3.1 (FYIv3.1), with a sample of 6454 infants 6-16 months, and (b) determine the ability of the resulting factors to discriminate clinical outcome groups at 3 years of age. The FYIv3.1 is a parent-report tool designed to detect early behavioral risk signs that may be associated with a later diagnosis of ASD and related neurodevelopmental conditions. Factor analytic models were used to determine the number of constructs and inter-factor correlations. Findings supported a seven-factor structure: communication, imitation and play (CIP); social attention and affective engagement (SAE); sensory hyperresponsiveness (HYPER); sensory hyporesponsiveness (HYPO); self-regulation in daily routines (SREG); sensory interests, repetitions, and seeking behaviors (SIRS); motor coordination and milestones (MCM). Mean comparisons on these factors demonstrated significant discrimination of the three outcome groups at age 3 years including those classified as having an ASD diagnosis and/or high autism symptoms, those classified as having other developmental disorders/conditions/concerns, and those classified with no known conditions/concerns. These findings support the validity and multidimensionality of early ASD risk constructs, as well as the potential use of the FYIv3.1 for phenotypic subtyping in the general population, and early detection in a broader age range of 6-16 months in future clinical studies. Lay SummaryThe FYIv3.1 is a 69-item parent-report questionnaire about infant behaviors that may indicate an elevated likelihood for later neurodevelopmental conditions such as autism. Analyses of responses from 6454 parents of infants 6-16 months indicated that items could be grouped reliably into seven categories. Compared to children with or without other developmental conditions, children in the outcome group with autism spectrum disorder and/or high autism symptoms at age three showed more behavioral risk signs in social-communication, sensory, and motor domains during infancy.