Developmental trajectories of sensory patterns from infancy to school age in a community sample and associations with autistic traits

Developmental Impacts of Early Sensory Patterns on School-Age Adaptive, Maladaptive, and Participation Outcomes in Autistic and Non-autistic Children

Early sensory differences may cascade into later social-communication difficulties in autism, yet their impacts on broader functional outcomes have remained understudied. This study aimed to conduct a comprehensive investigation into the longitudinal impacts of sensory patterns, including sensory hyperresponsiveness, hyporesponsiveness, and sensory repetitions/seeking behavior, on various school-age outcome domains among a community sample of children with autistic and non-autistic conditions. We prospectively followed 1,517 children with caregiver-reported sensory questionnaires across three timepoints from infancy to school age. A subsample (n = 389; 88 with reported autism diagnosis/concerns) was further assessed with adaptive, maladaptive and participation outcome measures at age 6-7. Structural equation modeling approaches were used to evaluate the multivariate associations between latent growth parameters (i.e., intercepts and slopes) of sensory patterns and school-age outcomes. Increasing sensory hyperresponsiveness was directly associated with poorer adaptive/maladaptive outcomes and indirectly with lower participation in activities with higher functional demands across settings at school age. Elevated sensory hyporesponsiveness was associated with lower adaptive functioning, more externalizing problems, and lower classroom participation. Trajectories of sensory patterns accounted for more unique variances in adaptive functioning and participation in daily life settings with higher functional and environmental demands among autistic children compared to their non-autistic peers.

Autistic traits and ARFID-associated eating behaviors in preschoolers: Mediating effects of sensory processing patterns

OBJECTIVE

This study aimed to examine the association between autistic traits and Avoidant Restrictive Food Intake Disorder (ARFID)-associated eating behaviors in preschool-age children and investigated whether this association was mediated by sensory processing patterns.

METHOD

A cross-sectional, parent-reported study was conducted between July 2022 and March 2023 among 503 preschoolers aged 4-6 years in China. Parents provided assessments of their children's autistic traits using the Social Responsiveness Scale, sensory processing patterns using the Short Sensory Profile 2, and ARFID-associated eating behaviors using the Nine Items ARFID Screen. The mediation model based on ordinary least squares regression was employed to test the mediating effects of sensory processing patterns between autistic traits and ARFID-associated eating behaviors.

RESULTS

The results indicated significant associations among autistic traits, ARFID-associated eating behaviors, and sensory processing patterns. Moreover, mediation analyses revealed that sensory processing patterns played a partial mediating role in the relationship between autistic traits and ARFID-associated eating behaviors. Specifically, autistic traits were observed to weaken ARFID-associated eating behaviors, particularly picky eating and poor appetite, through Registration, while simultaneously fostering them through Sensitivity and Avoiding.

DISCUSSION

Our study is limited to some extent by the inability to draw longitudinal conclusions from cross-sectional data. Nevertheless, it underscores the significance of early identification and intervention for food avoidance/restriction behaviors due to sensory processing abnormalities in children with heightened autistic traits. This proactive approach may contribute to mitigating ARFID-associated eating behaviors that might drive clinical symptoms of ARFID.

Early developmental profiles of sensory features and links to school-age adaptive and maladaptive outcomes: A birth cohort investigation

Sensory-based subtypes among autistic children have been well documented, but little is known about longitudinal sensory subtypes beyond autistic populations. This prospective study aimed to identify subtypes based on trajectories of parent-reported sensory features measured at 6-19 months, 3-4, and 6-7 years of age among a community-based birth cohort (N = 1,517), and to examine their associations with school-age clinical and adaptive/maladaptive outcomes on a subset sample (N = 389). Latent class growth analysis revealed five trajectory subtypes varying in intensity and change rates across three sensory domains. In contrast to an Adaptive-All Improving subtype (35%) with very low sensory features and overall better school-age outcomes, an Elevated-All Worsening subtype (3%), comprised of more boys and children of parents with less education, was associated with most elevated autistic traits and poorest adaptive/maladaptive outcomes. Three other subtypes (62% in total) were generally characterized by stable or improving patterns of sensory features at mild to moderate levels, and challenges in certain outcome domains. Our findings indicate that characterizing children based on early sensory trajectories may contribute to earlier detection of subgroups of children with sensory challenges who are more likely to experience developmental challenges by school age, followed by early targeted interventions for improved long-term outcomes.

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.

The Sensory Observation Autism Rating Scale (SOAR): Developed using the PROMIS® framework

Autistic people experience the sensory world differently, impacting behavior. First-hand accounts and group-based research have found that sensory differences impact a range of things including family life, anxiety, participation, and daily living. Early sensory differences are widely reported to be associated with a cascade of developmental difference, suggesting that early autism diagnosis and sensory mapping could enable the provision of supports to facilitate flourishing. However, appropriate measurement tools are not available as all rely on proxy report or are observation measures which include limited modalities or domains and require the administration of stimuli. Therefore, following the gold-standard recommendations for measurement development outlined by the PROMIS® framework, we created the Sensory Observation Autism Rating scale (SOAR). We identified sensory behaviors across all primary domains and modalities through an extensive autism-sensory literature review and from focus groups with autism stakeholders. The initial item bank was then refined by an expert panel and through video coding five-minutes of free play from Autism Diagnostic Observation Schedule assessments of 105 age- and gender-matched autistic and developmentally delayed children (aged 13-36 months; 38 female). An additional 25% of the sample were double coded to investigate interrater reliability. Observational data and expert review supported the reduction of the item bank to 37 items. We propose that the refined SOAR has excellent face and ecological validity, along with interrater reliability (Intraclass correlation = 0.87-0.99). Following further data collection and refinement, SOAR has promise to fully characterize sensory behaviors in autistic children and indicate useful supports.

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 3,868 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 unambiguously supported the validity of a supra-modal HYPER construct (ω H  = .800), whereas a coherent supra-modal HYPO construct was not supported (ω H  = .611), and supra-modal SEEK models suggested a more limited version of the construct that excluded some sensory modalities (ω H  = .799; 4/7 modalities). Within each sensory construct, modality-specific subscales demonstrated substantial added value beyond the supra-modal score. Meta-analytic correlations varied by construct, although sensory features tended to correlate most strongly with other domains of core autism features and co-occurring psychiatric symptoms. Certain subconstructs within the HYPO and SEEK domains were also associated with lower adaptive behavior scores. Limitations: Conclusions may not be generalizable beyond the specific pool of items used in the current study, which was limited to parent-report of observable behaviors and excluded multisensory items that reflect many "real-world" sensory experiences. Conclusion Psychometric issues may limit the degree to which some measures of supra-modal HYPO/SEEK can be interpreted. Depending on the research question at hand, modality-specific response pattern scores may represent a valid alternative method of characterizing sensory reactivity in autism.

Systematic Review of the Relation Between Feeding Problems and Sensory Processing in Children With Autism Spectrum Disorder

PURPOSE

Many studies have linked sensory sensitivities to feeding problems in children with autism spectrum disorder (ASD). Despite the importance of sensory processing for a variety of mealtime and eating skills, the specific sensory processes that may impact feeding problems in children with ASD have not been comprehensively reviewed. Thus, the goal of this systematic review was to understand the associations between sensory processing and feeding difficulties in children with ASD.

METHOD

This systematic review was carried out according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The PubMed, CINAHL Plus with Full Text (EBSCOhost), Scopus (Elsevier), and Embase (Elsevier) databases were searched from their dates of inception through the final search date of April 19, 2022, for English language studies that examined both sensory processing and feeding among children with ASD. Studies were assessed for quality using the Joanna Briggs Institute critical appraisal tools.

RESULTS

A total of 27 studies were included. Findings supported the existence of a relationship between sensory processing and feeding problems in children with ASD. Specifically, studies reported that overall scores on sensory processing measures as well as measures of oral sensory processing were frequently associated with feeding problems.

CONCLUSIONS

This review supports the development of future feeding interventions focusing on sensory processing given the relationship between sensory processing and feeding problems among children with ASD. Future research should focus on utilizing consistent feeding assessments specific to children with ASD and collect information on medical diagnoses that can impact feeding in order to report on feeding more holistically in this population.

SUPPLEMENTAL MATERIAL

https://doi.org/10.23641/asha.21453909.