Atypical Sensory Processing Profiles and Their Associations With Motor Problems In Preschoolers With Developmental Coordination Disorder

Mikami, Misaki; Hirota, Tomoya; Takahashi, Michio; Adachi, Masaki; Saito, Manabu; Koeda, Shuhei; Yoshida, Kazuhiko; Sakamoto, Y.; Kato, Sumi; Nakamura, Kazuhiko; Yamada, Jun

doi:10.1007/s10578-020-01013-5

Cited by 23 publications

(25 citation statements)

References 41 publications

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“…Similarly, sensory challenges directly impact the quality of life [ 14 ], and, therefore, appropriate counseling and early initiation of behavioral interventions can strongly impact patient and family experiences. Finally, many neurodevelopmental disorders have similar or overlapping presentations, and subtle clinical differences, such as sensory features, can be helpful in making a diagnosis or guiding genetic testing [ 3 , 4 , 15 ]. Thus, characterizing the sensory profiles for specific disorders is important for diagnosis and management.…”

Section: Introductionmentioning

confidence: 99%

Sensory Processing Phenotypes in Phelan-McDermid Syndrome and SYNGAP1-Related Intellectual Disability

2022

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Sensory processing differences are an established feature of both syndromic and non-syndromic Autism Spectrum Disorders (ASDs). Significant work has been carried out to characterize and classify specific sensory profiles in non-syndromic autism. However, it is not known if syndromic autism disorders, such as Phelan-McDermid Syndrome (PMD) or SYNGAP1-related Intellectual Disability (SYNGAP1-ID), have unique sensory phenotypes. Understanding the sensory features of these disorders is important for providing appropriate care and for understanding their underlying mechanisms. Our objective in this work was to determine the sensory processing abnormalities present in two syndromic ASDs: Phelan-McDermid Syndrome and SYNGAP1-related Intellectual Disability. Using a standardized instrument, the Short Sensory Profile-2, we characterized sensory features in 41 patients with PMD and 24 patients with SYNGAP1-ID, and sub-scores were then calculated for seeking, avoiding, sensitivity and registration, as well as overall sensory and behavior scores. We found both patient groups exhibited atypical sensory features, including high scores in the areas of avoiding and seeking. Thus, we discovered significant sensory processing abnormalities are common in these syndromic ASDs. Measurements of sensory processing could serve as useful clinical endpoints for trials of novel therapeutics for these populations.

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Section: Introductionmentioning

confidence: 99%

Sensory Processing Phenotypes in Phelan-McDermid Syndrome and SYNGAP1-Related Intellectual Disability

2022

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“…This view was further supported by Cermak and May-Benson (2020) . In addition, Allen and Casey (2017) , Chung (2018) , Delgado-Lobete et al (2020) , and Mikami et al (2021) found relationships between sensory processing difficulties and individuals with DCD, supporting the presence of sensory processing and integration difficulties in individuals with motor coordination challenges. The relationship of motor performance challenges and aspects of QOL was noted as children with DCD were found to have lower HRQOL ( Redondo-Tébar et al, 2021 ) and leisure activity levels ( Raz-Silbiger et al, 2015 ) than their typically developing counterparts.…”

Section: Literature Reviewmentioning

confidence: 64%

Relationship Between Childhood Sensory Processing Differences and Quality of Life as Adults

May-Benson¹,

Teasdale

Easterbrooks-Dick

2022

Front. Psychol.

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Research suggests a relationship between sensory processing, motor skills and quality of life (QOL) in a variety of clinical populations of adults and children. There have been no studies which investigated the relationship of childhood sensory processing and integration and related motor performance (sensori-motor) patterns identified using an Ayres Sensory Integration® (ASI) frame of reference and later QOL of those children as adults. This longitudinal follow-up study examined this relationship. Adult QOL was also examined in relation to current adult sensori-motor patterns. Fifty-three adults who received occupational therapy services as children, were identified as having sensori-motor difficulties at that time and completed a sensory history and a quality-of-life measure as adults participated. Measures included the OTA the Koomar Center Sensory History (SXHX), Adult/Adolescent Sensory History (ASH), and the World Health Organization Quality of Life-Brief (WHOQOL-BREF). MANCOVA found that Total childhood sensori-motor scores had a small relationship to Physical Health QOL as adults that approached significance. Pearson Correlations found that adults with childhood sensori-motor challenges who report sensori-motor challenges as adults had a moderate significant relationship among overall sensori-motor functioning and Physical Health (r = −0.56, p = 0.018). Visual (r = −0.76, p = 0.001), movement (vestibular; r = −0.48, p = 0.042) and tactile processing (r = −0.63, p = 0.008) had moderate to large significant relationships with Physical Health. Visual processing (r = −0.54, p = 0.024) was also significantly related to Psychological Health. Motor Coordination trended to significance for Physical Health (r = −0.42) and Psychological Health (r = −0.41). Conversely, adults who reported typical sensori-motor scores as adults, despite childhood sensori-motor challenges, had a good QOL. Furthermore, similar to previous research, there was a relationship between current visual, movement (vestibular) and tactile (touch) sensory processing and adult Physical and Psychological Health. A multivariate linear regression found Sensory Discrimination and Modulation accounted for one-quarter of the variance in QOL in adults with only Discrimination being statistically significant. Therefore, it is important to consider childhood sensori-motor function as well as adult functioning when examining QOL. Further, heretofore unexamined Sensory Discrimination was found to play a role in adult QOL.

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“…Participants comprised 68 parents whose children attended the second phase of the Hirosaki Five-Year-Old Developmental Check-up (HFC) Study (See Mikami et al, 2020 [ 19 ] and Saito et al, 2020 [ 20 ] for details) in 2020. The first phase of the annual city-wide developmental screening consisted of a postal questionnaire survey concerning behavioral, emotional, motor, and social development.…”

Section: Methodsmentioning

confidence: 99%

A Pilot Exploratory Study to Form Subgroups Using Cluster Analysis of Family Needs Survey Scores for Providing Tailored Support to Parents Caring for a Population-Based Sample of 5-Year-Old Children with Developmental Concerns

Miyahara

2022

IJERPH

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In a population-based developmental screening program, healthcare providers face a practical problem with respect to the formation of groups to efficiently address the needs of the parents whose children are screened positive. This small-scale pilot study explored the usefulness of cluster analysis to form type-specific support groups based on the Family Needs Survey (FNS) scores. All parents (N = 68), who accompanied their 5-year-old children to appointments for formal assessment and diagnostic interviews in the second phase of screening, completed the FNS as part of a developmental questionnaire package. The FNS scores of a full dataset (N = 55) without missing values were subjected to hierarchical and K-means cluster analyses. As the final solution, hierarchical clustering with a three-cluster solution was selected over K-means clustering because the hierarchical clustering solution produced three clusters that were similar in size and meaningful in each profile pattern: Cluster 1—high need for information and professional support (N = 20); cluster 2—moderate need for information support (N = 16); cluster 3—high need for information and moderate need for other support (N = 19). The range of cluster sizes was appropriate for managing and providing tailored services and support for each group. Thus, this pilot study demonstrated the utility of cluster analysis to classify parents into support groups, according to their needs.

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Atypical Sensory Processing Profiles and Their Associations With Motor Problems In Preschoolers With Developmental Coordination Disorder

Cited by 23 publications

References 41 publications

Sensory Processing Phenotypes in Phelan-McDermid Syndrome and SYNGAP1-Related Intellectual Disability

Sensory Processing Phenotypes in Phelan-McDermid Syndrome and SYNGAP1-Related Intellectual Disability

Relationship Between Childhood Sensory Processing Differences and Quality of Life as Adults

A Pilot Exploratory Study to Form Subgroups Using Cluster Analysis of Family Needs Survey Scores for Providing Tailored Support to Parents Caring for a Population-Based Sample of 5-Year-Old Children with Developmental Concerns

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