Identification of Sensory Processing and Integration Symptom Clusters: A Preliminary Study

Rationale. This study explored subtypes of sensory processing disorder (SPD) by examining the clinical presentations of cluster groups that emerged from scores of children with SPD on the Sensory Processing 3-Dimension (SP-3D) Inventory. Method. A nonexperimental design was used involving data extra...

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Bibliographic Details
Published in:Occupational therapy international 2017-01, Vol.2017 (2017), p.1-10
Main Authors: Sullivan, Jillian, Mulligan, Shelley, Schoen, Sarah A., Miller, Lucy Jane
Format: Article
Language:English
Subjects:
Activities of daily living
Adaptive behavior
Adolescent
Attention
Attention deficit hyperactivity disorder
Autism
Behavior
Child
Children
Cluster Analysis
Craving
Developmentally disabled children
Diagnosis
Dreams
Dyspraxia
Emotional well being
Extraction
Female
Humans
Hyperactivity
Identification
Intervention
Male
Medical examination
Methods
Neuropsychological tests
Neurosciences
Occupational therapy
Perceptual Disorders - classification
Perceptual Disorders - diagnosis
Sensation Disorders - classification
Sensation Disorders - diagnosis
Sensory discrimination
Sensory integration disorder
Sensory integration disorders
Sensory modulation
Sensory perception
Sensory processes
Subtypes
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Summary:Rationale. This study explored subtypes of sensory processing disorder (SPD) by examining the clinical presentations of cluster groups that emerged from scores of children with SPD on the Sensory Processing 3-Dimension (SP-3D) Inventory. Method. A nonexperimental design was used involving data extraction from the records of 252 children with SPD. Exploratory cluster analyses were conducted with scores from the SP-3D Inventory which measures sensory overresponsivity (SOR), sensory underresponsivity (SUR), sensory craving (SC), postural disorder, dyspraxia, and sensory discrimination. Scores related to adaptive behavior, social-emotional functioning, and attention among children with different sensory modulation patterns were then examined and compared. Results. Three distinct cluster groups emerged from the data: High SOR only, High SUR with SOR, and High SC with SOR. All groups showed low performance within multiple domains of adaptive behavior. Atypical behaviors associated with social-emotional functioning and attention varied among the groups. Implications. The SP-3D Inventory shows promise as a tool for assisting in identifying patterns of sensory dysfunction and for guiding intervention. Better characterization can guide intervention precision and facilitate homogenous samples for research.
ISSN:0966-7903
1557-0703
DOI:10.1155/2017/2876080