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Occupational Therapy International
Volume 2017 (2017), Article ID 2876080, 10 pages
Research Article

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

1STAR Institute, 5420 S. Quebec Street, Suite 105, Greenwood Village, CO 80111, USA
2Department of Occupational Therapy, 4 Library Way, University of New Hampshire, Durham, NH 03824, USA
3Northeastern University, 312E Robinson Hall, 360 Huntington Ave., Boston, MA 02115, USA

Correspondence should be addressed to Sarah A. Schoen

Received 5 June 2017; Revised 27 September 2017; Accepted 26 October 2017; Published 16 November 2017

Academic Editor: Claudia Hilton

Copyright © 2017 Lucy Jane Miller et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.