Skip to main content

REVIEW article

Front. Pediatr., 30 March 2017
Sec. Child and Adolescent Psychiatry
Volume 5 - 2017 | https://doi.org/10.3389/fped.2017.00057

Assessment of Sensory Processing Characteristics in Children between 3 and 11 Years Old: A Systematic Review

  • 1Facultad de Terapia Ocupacional, Logopedia y Enfermería, Psychology, Universidad de Castilla-La Mancha, Talavera de la Reina, Spain
  • 2Centro de Terapia Infantil AYTONA, Madrid, Spain
  • 3West Health District, Primary Care Center Francia, Madrid Health Service, Madrid, Spain

The assessment of sensory perception, discrimination, integration, modulation, praxis, and other motor skills, such as posture, balance, and bilateral motor coordination, is necessary to identify the sensory and motor factors influencing the development of personal autonomy. The aim of this work is to study the assessment tools currently available for identifying different patterns of sensory processing. There are 15 tests available that have psychometric properties, primarily for the US population. Nine of them apply to children in preschool and up to grade 12. The assessment of sensory processing is a process that includes the use of standardized tests, administration of caregiver questionnaires, and clinical observations. The review of different studies using PRISMA criteria or Osteba Critical Appraisal Cards reveals that the most commonly used tools are the Sensory Integration and Praxis Test, the Sensory Processing Measure, and the Sensory Profile.

Sensory processing is a broad term that generally refers to the handling of sensory information by neural systems, including the functions of receptor organs and the peripheral and central nervous systems. According to Dunn, sensory processing is a complex endeavor. Sensory input from the environment and from the body itself provides information to the brain (1). The brain organizes, integrates, synthesizes, and uses this information to understand experiences and organize appropriate responses. The processing of information allows individuals to respond automatically, efficiently, and comfortably to the specific sensory inputs received (2, 3). The neurobiological process comprises a series of five stages, registration, modulation, discrimination, integration, and praxis (4), and is central to cognitive processes such attention, visual perception, memory, and planned action (5).

Ayres paid special attention to the relationship between motor responses, sensory input, and normal sensorimotor development. She defined sensory integration (SI) as the ability to organize sensory information to make an adaptive response (6). Recently, some authors have suggested that SI should be referred to as multisensory integration (7). Behaviors associated with sensory processing are not necessarily symptoms or abnormalities; these are differences and often abilities, such as enhanced perception (8). For this reason, some authors prefer to use sensory features (9).

Ayres focused particularly on the identification of different patterns of dysfunction in sensorimotor development and their impact on learning and on the description of adaptive behaviors observed in children with motor clumsiness or learning disabilities of unknown origin (1012). Sensory processing disorder (SPD) “affects the way the brain interprets the information that comes in and the response that follows, causing emotional, motor, and other reactions that are inappropriate and extreme” (13) (p. 331). Parham and Mailloux (14) outlined five functional impairments associated with SPD. These include decreased social participation and occupational engagement; decreased length, frequency, or complexity of adaptive responses (successful response to an environmental challenge); impaired self-confidence and/or self-esteem; poor daily life skills and reduced family life; and diminished fine-, gross-, and sensory–motor skill development. SPD can negatively affect development and functional abilities in behavior, emotional, motor, and cognitive domains (15). Consequently, it is important to detect differences early with appropriate sensory processing assessment tools.

Children diagnosed with various conditions, including autism spectrum disorder, Asperger syndrome, attention-deficit hyperactivity disorder, sensory-modulation disorder (SMD), and developmental coordination disorder, are prone to experience differences in their sensory processing patterns when compared to expected patterns (1520). The Diagnostic Classification of Mental Health and Developmental Disorders of Infancy and Early Childhood (Zero to Three, 2005), which is the most commonly used diagnostic classification for early childhood includes a classification of “sensory processing regulation difficulties.” Furthermore, the classification proposed by The Interdisciplinary Council on Development and Learning Disorders Diagnostic Manual for Infants and young Children (ICDL-DMIC) also recognizes Regulatory-Sensory Processing Disorders (21). Moreover, the DSM-5 includes sensory perception disorders as a new diagnostic criterion for autism spectrum disorder (22).

There are different taxonomies to characterize differences in sensory processing. Recently, several authors have referred to other terms of these processes, especially in relation to possible modulation disorders such as hypo-reactivity, hypo-sensitivity to certain clinical observations and the presence of tactile defensiveness, enhanced perception, etc (7). However, the most commonly used and accepted taxonomy is that proposed by Miller et al. (23), who suggest that there are three main patterns: SMD, sensory-based motor disorder, and sensory discrimination disorder.

Sensory-modulation disorder refers to the difficulty in regulating and organizing the degree, intensity, and nature of a response to sensory stimuli through graded and adaptive behavior. People with SMD are able to sustain attention, filter sensations, and remain at the appropriate level of alertness. Modulation disorder presents three characteristic patterns: (1) “Sensory over-responsivity,” also known as sensory sensitivity or sensory avoidance, is characterized by intense, negative responses to typical daily life experiences, affecting alertness, attention, social interaction and the level of activity, and self-care. Symptoms include avoidance, anxiety, and hypersensitivity, e.g., tactile defensiveness or gravitational insecurity (2426). (2) “Sensory under-responsivity” also termed “low registration” is characterized by delayed or reduced responses to daily sensory events, affecting the level of alertness, attention, posture, and movement, motor coordination, and social interaction (27). Sensory under-responsivity usually co-occurs with postural disorder. (3) “Sensory seeking/craving” is characterized by an insatiable drive for enhanced sensory experiences (28). Children with sensory seeking crave intense sensory input in different settings, exhibit strong sensory preferences, demonstrate socially inappropriate behaviors, and have little awareness of danger as well as difficulty in completing tasks. They also exhibit reduced inhibitory control and behavioral disorganization (26).

Various studies have analyzed the etiology of SI disorders, identifying a genetic factor in sensory over-responsivity (29). Hypersensitive persons are considered to have a low neurological threshold and easily notice sensory input, meaning they are frequently distracted by movement, sounds, textures, or smells not perceived by others (30). In contrast, hyposensitive persons present low registration; they do not notice everyday sensory events. For example, they may not notice when someone comes into a room or when they have food or dirt on their face and hands (31).

Sensory-based motor disorders occur when persons have inappropriate body posture or voluntary movement and who exhibit deficits in motor planning, praxis, sequencing, fluidity, and control of movement as a result of sensory difficulties (32). Two subtypes exist, both of which are influenced by impaired discrimination and perception of sensations: (1) postural dysfunction describes a difficulty in exerting postural control during movement or resting in response to the demands of the environment or a motor task. Postural control involves interactions between the vestibular, proprioceptive, and visual system, providing a stable basis for coordinating movements of the head, eyes, trunk, and limbs, which are essential to dynamic and static movement. Postural control difficulties appear when there is dysfunction in the previously mentioned systems, exhibiting deficits in movement control, reduced righting and balance reactions, limited weight transfer and trunk rotation capacity, poor balance between flexion and extension of body parts, and bilateral motor coordination difficulties, leading to ineffective performance of motor tasks. (2) Dyspraxia is the impaired ability to conceive of plan, sequence, and execute novel actions. Praxis refers to a capacity involving three processes: ideation, motor planning, and execution (33). Children with dyspraxia show difficulty moving their bodies in space and are more likely to have accidents. They experiences challenges related to ideation of movement, need more time, and practice to learn a new skill and demonstrate decreased ability to generalize skills to other motor tasks, such as in the execution of complex motor activities (34).

Sensory discrimination disorder refers to sensory processing patterns affecting interpretation of the quality of sensory input, especially temporal and spatial characteristics. Discrimination disorders can occur in one or more systems (i.e., vestibular, proprioceptive, and the five basic senses) (23). Discrimination difficulties affect the ability to identify similarities and differences between inputs. Children with this disorder may exhibit impaired motor planning and difficulties in praxis, as well as learning difficulties, low self-confidence, and poor body schema.

In recent years, a number of studies have implemented different assessment tools to examine SPDs (32, 3538). These studies can be classified according to whether they use standardized tests, structured observations, or interviews with parents and teachers (39, 40). The aim of the assessment process is to determine the impact of sensory processing problems on children’s functionality and participation in daily life.

In their review of the literature, Koenig and Rudney conclude that difficulties in sensory processing affect elements of occupational performance: play and leisure, social participation, development of autonomy, basic and instrumental activities of daily living, and education (41). Eeles et al. report that SPDs may be the cause of learning and development difficulties found in some children (4).

Between 40 and 80% of children and 3 and 11% of adults with neurodevelopmental disabilities are estimated to have difficulties in sensory processing (42, 43). Between 60 and 95% of children with autism spectrum disorders have differences in sensory processing (31, 4346). Between 2.8 and 6.5% of the typically developing population is also reported to have difficulties in sensory processing (29, 47). More specifically, 5% of children between 0 and 3 years of age exhibit sensory processing differences (15). Consequently, for early detection of these differences, it is essential to identify the most appropriate and precise tool for assessing sensory processing, to determine whether SI difficulties are a significant factor in a child’s behavior and to provide appropriate intervention (4).

There currently exists only one systematic review of diagnostic tests for SPDs in children between 0 and 3 years of age (4). Thus, it is especially interesting to conduct a systematic review of the assessment of SPDs in older children between 3 and 11 years of age. To the best of our knowledge, this is the first systematic review of sensory processing for this age group.

Aim

The aim of this work is to conduct a review of the assessment tools currently available for determining different patterns of SPDs in children between 3 and 11 years of age.

Methodology

Search Strategy

Between October, 20, 2014, and January, 3, 2016, we conducted an exhaustive search of the literature to identify the instruments available for assessing sensory processing in children aged between 3 and 11. This search was conducted in the following databases: Web of Science, MEDLINE, SCOPUS, Trip database, OTSeeker, and Plinio. The search strategy included the terms MeSH (“Child” OR “children”) AND (“assessment” OR “evaluation”) AND (“sensory integration” OR “sensory processing” OR “occupational therapy”) and included articles published between 2004 and 2015 in both Spanish and English.

Two authors (Gemma Rodriguez-Gil and José-Matías Triviño-Juárez) reviewed the article titles and abstracts of the articles to determine whether they met the inclusion criteria. Two independent reviewers (Sara Jorquera-Cabrera and Dulce Romero-Ayuso) then reviewed the articles that were not selected to ensure they should be excluded. Any articles presenting doubts or inconsistencies were fully reviewed by the independent reviewers until a decision was finally reached on their inclusion or exclusion (see Figure 1 for a flow diagram adapted from the PRISMA methodology, see Table 1).

FIGURE 1
www.frontiersin.org

Figure 1. PRISMA flow diagram.

TABLE 1
www.frontiersin.org

Table 1. PRISMA checklist.

Inclusion Criteria

Inclusion of articles comprised two stages. In the first stage, we selected systematic reviews of sensory processing assessment, and in their absence, we included other articles on sensory processing tests and assessment tools. In the second stage, we selected the scales and tools presented in the studies. Tools meeting the following criteria were included: (1) usefulness in assessing sensory processing in children aged between 3 and 11 years; (2) accordance with the assumptions of, or be compatible with, SI theory (6, 12, 48); (3) demonstration of predictive, discriminatory, and/or evaluative value of sensory processing in children aged between 3 and 11 years; (4) published in English and/or Spanish; and (5) inclusion of items (more than 50%) that contain sensory processing results (visual, auditory, vestibular, proprioceptive and kinesthetic processing, tactile, olfactory, and taste processing) (see Table 2).

TABLE 2
www.frontiersin.org

Table 2. Tools selected for the assessment of sensory processing in children aged 3 to 11 years.

Exclusion Criteria

Tools meeting any of the following criteria were excluded: (1) fundamentally aimed at measuring mental or motor development; (2) aimed mainly at measuring a child’s motor ability (that is, if more than 70% of items referred to motor results); (3) principally focused on measuring behavior, cognition, or a child’s relationship with family members, peers, etc.; and (4) high-technology tools or devices or tools in the research stage or still under development without the support of scientific studies on the psychometric properties of the tests (see Tables 2 and 3).

TABLE 3
www.frontiersin.org

Table 3. Summary table.

Data Collection

Once the assessment tools were identified, we administered the PRISMA checklist for systematic review (4) (see Table 1) and the Osteba Critical Appraisal Cards (FLC; http://www.lecturacritica.com/es/) (76). We also evaluated the clinical use, reliability, validity, assessment type (referring to a criterion or not referring to standards), target age, and study sample characteristics.

Results

Assessment Tools

Among the articles reviewed, 24 available tools for evaluating sensory processing in children between 3 and 11 years, independent of each clinical condition, were identified. Specifically, among these tools, 11 were experimental or were supported by few published studies on psychometric characteristics (see Table 2). The instruments that evaluate modulation do so mainly through proxy methodology, that is, through questionnaires provided to caregivers, parents, or teachers. Most of the instruments available to assess discrimination, SI, and praxis are tests instead of questionnaires.

According to our review, the tools most commonly used to determine sensory processing include the Sensory and Integration Praxis Tests (SIPT); the Sensory Profile (SP, or the more recent SP2 version) (44, 45), which features different formats for different age groups [short sensory profile, sensory profile for children, teacher sensory profile questionnaires (6, 54), and the Sensory Processing Measure (SPM) (52)] in combination with sensorimotor observation (67).

Description of Included Tools

The SIPT is the “gold standard” measure for assessing sensory discrimination and sensorimotor disorders (6, 7, 35, 8184). The test is a battery of 17 subtests designed to assess four factors: (1) tactile processing and discrimination; (2) vestibular and proprioceptive processing; (3) praxis and bilateral integration and sequencing; and (4) perception of shape and space and visuomotor coordination. The SIPT has been criticized for not providing information on the existence of SMD (28). It is also worth noting that this test is confined to use with children aged between 4 years and 8 years 11 months.

The Miller Assessment for Preschoolers (MAP) (68) was designed to provide a profile of sensory discrimination abilities, postural foundations, and praxis. In addition, it screens for visual, perceptual, and language delays that could be affecting participation in the classroom. The MAP offers an alternative to the SIPT as it involves less complex instructions and shorter subtest tasks and does not require certification to be administered (85).

Two tools were found for the assessment of sensory modulation in different populations: the Sensory Profile and the Sensory Processing Measure. The Sensory Profile (SP and SP2) is based on Dunn’s sensory processing model (54). There are two key factors in this model: the neurological threshold, which refers to the amount of stimuli required for a neuron or neuron system to respond, and the type of self-regulatory response exhibited by the child (45, 54). At the extreme ends of the neurological threshold are habituation (related to high thresholds) and sensitization (related to low thresholds). Kandel (86) identified several cellular mechanisms of learning that have been applied in the study of sensory processing: habituation, sensitization. Habituation is the simplest form of implicit learning, through which the properties of a new stimulus become familiar. Attention occurs when a new stimulus occurs for the first time. When the stimulus becomes familiar, or is neither beneficial nor harmful, there is no need to attend to the stimulus and so habituation occurs. Sensitization is the process that enhances the awareness of important stimuli. The central nervous system recognizes the stimuli as important or potentially harmful and generates a heightened response. Sensitization can sometimes be associated with anatomical changes, such as an increase in the number of neuron connections available for a task. Sensitization is a more complex mechanism than habituation (86).

The ability to modulate responses of the nervous system or maintain the balance between high and low thresholds allows a child to notice enough stimuli to be aware and attentive, thus avoiding an excess of information that could overload or distract. On the other hand, self-regulation is the ability of individuals to change their behavior under the demands of specific situations. Both actions are considered to be part of the learning process of the central nervous system.

The neurological threshold and self-regulation continua can help explain children’s performance based on four sensory processing patterns: (1) registration/bystander; (2) sensitivity/sensor; (3) avoiding/avoider; and (4) seeking/seeker. Registration represents high neurological threshold with passive self-regulation. Seeking represents high neurological thresholds but involves an active self-regulation strategy and the generation of new ideas. Sensitivity represents low neurological thresholds and a passive self-regulation strategy. Finally, avoiding represents low neurological thresholds with an active self-regulation strategy (1) (p.12).

The Sensory Profile (SP and SP2) comprises questionnaires for parents and teachers of children aged between birth and 14 years, although the authors later developed measures for adolescents and adults. There is also a teacher version (School Companion) that assesses four school factors: (1) the student’s need for external support to participate in learning activities, assessed through seeking and registration items; (2) awareness and attention within the learning environment, assessed through seeking and sensitivity items; (3) the student’s range of tolerance within the learning environment, assessed through avoiding and sensitivity items; and (4) the student’s availability for learning in the classroom, assessed through avoiding and registration items (54). Furthermore, the SP2 provides guidelines for intervention that focus on environmental strategies.

The Sensory Processing Measure (SPM home form; and SPM school environments form) (52, 87) is a questionnaire evolving from two previous measures: the Evaluation of Sensory Processing (ESP) and the School Assessment of Sensory Integration (SASI). There is also a version for preschoolers (SPM-P). The form for children aged from 3 to 10 years comprises 62 items distributed across different domains: social participation, vision, hearing, touch, body awareness, balance and motion, and motor planning (52, 87). SPM is a tool for evaluating elements related to sensory processing, praxis, and social participation in different school environments. The aim of this tool is to provide teachers with information regarding sensory facilitators and barriers to help students perform successfully. Pilot studies suggest that SPM-School is a reliable and valid tool. However, results have shown that the sensory processing items exhibit lower internal consistency than the social participation items. Validity has been observed to be higher when discriminating between children with and without sensory processing issues (88). The tool has been cross-culturally translated to Danish, Finnish, Norwegian, Swedish, and Chinese. Lai et al. observed the patterns of behavioral response toward sensory stimuli in the Hong Kong population with the Sensory Processing Measure Chinese version. These differences suggest the importance of the child’s environment. The findings showed that the Sensory Processing Measure-Hong Kong Chinese version was a valid and reliable tool in the screening for sensory processing of children aged 5–12 among Chinese populations (53).

The Touch Inventory for Elementary School-Aged Children (TIE) (61) is a children’s self-report measure of tactile defensiveness; authors recommend that the TIE be used in conjunction with the modified parental version of the TIE to supplement and identify more clearly the family contexts in which children live and to support family-based/client-centered therapy and outcomes. More extensive research studies addressing construct validity, clinical utility, and responsiveness must be completed (89). Furthermore, the author developed a preschool version that could be applicable to children who are developmentally delayed and non-verbal children (61).

The Sensory Experience Questionnaire 3.0 (SEQ-3.0) (69), is useful in obtaining sensory characteristics and discriminating sensory patterns of hypo- and hyper-responsiveness among children with autism and mental or developmental retardation between 2 and 12 years old.

Another questionnaire, the Sensory Sensitivity Questionnaire-Revised, is oriented toward determining whether children with autism show sensory hyper- and hypo-sensitivities in six areas: auditory, visual, tactile, gustatory, vestibular, and olfactory (90).

In addition, the evaluation of sensorimotor disorders can be conducted through clinical observations, which are principally aimed at detecting vestibular, proprioceptive, and/or proprioceptive/vestibular difficulties (65, 67). The Clinical Observations of Motor and Postural Skills could provide additional insight into the maturity of the child’s nervous system, as well as rich qualitative observations of sensory discrimination, muscle tone, strength, sequencing, and planning (85). The tool allows for observational assessment and helps interpret behaviors that may be related to proprioception during skilled motor learning tasks and everyday tasks, such as sitting posture, balance responses, and use of body during play (67). Structured and non-structured clinical observations are a useful tool for evaluating children who, because of their age or diagnosis, cannot be assessed using other tools. Structured clinical observations measure the following functions:

(a) Vestibular processing, which includes vestibulo-spinal function (balance reactions, extensor muscle tone, and neck and upper trunk stability); vestibulo-ocular function (capacity to conduct visual tracking and maintain a stable field of vision); vestibulo-perceptual function (spatial orientation, spatial memory, and the ability to move in space); excitability of the vestibular system; anticipatory mechanisms; and bilateral coordination.

(b) Proprioceptive processing, which includes spinal function (muscle tone, stretching reflexes, and dynamic stability); subcortical functions (posture control and fluidity of movement); cortical functions (awareness of the position of joints and motor planning). Proprioception is also closely related to excitement control and must be assessed.

(c) Vestibular-proprioceptive, which includes posture control and anticipatory mechanisms.

The Comprehensive Observations of Proprioception (COP) is a new assessment tool that organizes observations to provide a structured method for assessing the relationship between proprioceptive information and motor performance (postural control, motor planning, and proximal stability), as well as level arousal modulation. The aim is to identify proprioceptive processing disorders in children with developmental disabilities, and the tool is used in combination with clinical sensory–motor observations or when the child is observed during free play. Validity was established between the COP results and the results of items from the SPM (body awareness), the kinesthesia test, and the standing and walking balance test from the SIPT. Results of factor analysis revealed four groups of proprioceptive dysfunctions: (a) muscle tone and proximal joint stability; (b) behavioral manifestations of proprioceptive seeking; (c) postural control; and (d) motor planning (67).

Table 2 shows the different tools that can be included in an assessment to evaluate sensory processing dysfunction. Additionally, Table 3 summarizes the results obtained.

Excluded Tools

According to our previously established criteria, we excluded the use of other instruments focused mainly on development, visual, or motor skills. We also excluded tools used in other approaches and environments, such as developmental psychology, neurophysiology, and neuropsychology. In this respect, we excluded 10 tests: Bruininks-Oseretsky Test of Motor Proficiency (91); Bayley Scales of Infant Development-III (92, 93); Movement Assessment Battery for Children 2 (94); Batelle Developmental Inventory (95); Peabody Developmental Motor Scales (96); Test of Visual–Motor Skills-3m (97); Developmental Test of Visual Perception (DTVP) (98); Developmental Test of Visual–Motor Integration sixth ed (99).; Test of Visual Perceptual Skills (TVPS-3) (100) and Motor-Free Visual Perception Test (101); and the Developmental Coordination Disorder Questionnaire (102) (see Annex S1 in Supplementary Material) (103107).

We also excluded other tactile assessment tools designed for specific populations (36) and electroencephalography (EEG), which is used to diagnose SPDs (108). In addition, we excluded other instruments that are commercially available but for which scientific studies have not consulted databases on the psychometric properties of the tests employed or, in some cases, for which no standardized methods are provided for assessment. This group includes (1) the Preschool Sensory Scan for Educators (109), which is a checklist designed for teachers to identify children who they feel may be at risk for SPD under three categories: sensory modulation, sensory discrimination, and sensory-based motor skills. Each of these categories focuses on how the senses (tactile, vestibular, proprioceptive, visual, auditory, and olfactory) are affected. The instrument is available only for children between 2½ and 5 years. A list of primary and secondary therapies is also included. The tool is available only for the US population. The group also includes (2) the Quick Neurological Screening Test-third Edition (110), which is available only in English for persons between 5 and 80 years old. The principal aim is to assess neurological soft signs. Additionally, there is (3) Sensorimotor Performance Analysis (111). This tool consists of four gross motor tasks and three fine motor tasks that are broken down by performance components. Although developed specifically for cognitively handicapped, school-aged clients, SPA has been found useful for clients in other age groups and clients with a variety of sensorimotor problems, including dysfunction in postural control and movement patterns. The instrument is available only in English for individuals aged 5 years to adult. Furthermore, there is (4) the Sensory Integration Inventory Revised for Individuals with Developmental Disabilities (SII-R) (112). The inventory was designed to screen for clients with developmental delays and disabilities who might benefit from a SI treatment approach and is a non-standardized checklist. Finally, there is (5) Sensory Processing Assessment (SPA) (43), a play-based behavioral observation assessment that allows for the detection of hypersensitivity to specified sensory stimuli. The assessment is specially designed to test children with autism and has been used to assess sensory interests, repetitions, and seeking behaviors (SIRS) (80). The checklist is not standardized and is related to research rather than to clinical practice.

Discussion, Limitations, and Conclusion

To the best of our knowledge, this is the first systematic review of tools that are useful in assessing sensory processing in children between 3 and 11 years. Additionally, we have included the languages in which each instrument is available. This study may help establish future goals to meet the needs that exist in the evaluation of sensory processing.

According to Roley et al. (81), there are certain groups that require comprehensive evaluation of sensory processing interest, such as children with ASD (81). We also believe that somatosensory evaluation and praxis would be very useful in children with ADHD according to recent neuroimaging studies and other studies in this field (113115).

The results of this systematic review reveal that there are a total of 21 tools available for the evaluation of the different stages of sensory processing in children aged between 3 and 11 years. Among these, 15 tests are available and are supported by psychometric studies, primarily for the US population. Nine of the tests can be applied to children in preschool to grade 12. Only three of them are designed solely for preschool children. Other tools feature newly developed tests or questionnaires and research processes. Among all tests, eight provide insight into the process of modulation, nine provide information about the process of discrimination, and eight allow for the assessment of praxis.

Most tests are only available in English and are designed for the US population. However, the two main tools for assessing modulation are available in different languages. Specifically, they are six versions of SPM (English, Danish, Finish, Swedish, Norwegian, and Chinese) and six different versions of SP (English, Spanish, Arabic, Turkish, Indian, and Chinese). Unfortunately, the SITP is only available in English and is designed for the North American population.

The SIPT is the main comprehensive test with objective tasks for evaluating sensory processing. Asher et al. reported high reliability for SIPT scores in determining the presence of SI disorder. Nevertheless, additional information is needed for a more reliable interpretation of SIPT scores, such as clinical observations and case history, to help clinicians make the more subtle distinctions needed to determine the relevance of the different sensory features for each case (35). However, the SIPT does have some disadvantages. The test has only been validated in a North American population, which limits its application to other populations. Furthermore, it has never been revised since it was created in 1989. Examiners need to be accredited to administer the test, and both the training and the test itself are costly. Another limitation is the length of time needed to administer and correct the test, which means it is not frequently used in daily clinical practice. Indeed, Szklut (85) recommends the use of the MAP rather than the SIPT in children under the age of 6 because of the ease of access to the test, its lower cost, and the fact that the items are aimed at preschoolers and the test is easier to correct (85). The results of our systematic review can be helpful and promote interest in new sensory processing evaluation tests. Given the potential usefulness and thoroughness of the test, it would be useful to have an updated version of the SIPT, given the best available evidence to assess proprioceptive, vestibular, and tactile sensory discrimination and praxis, which may apply to a broader age range, i.e., to children between 3 and 11 years.

The SP (and SP2, the updated version) and the SPM are two complementary questionnaires for assessing sensory modulation using information from parents and teachers. These tools help to detect the presence of modulation differences, although they do not permit identification of discrimination dysfunction, for which clinical tests or observations are required. Both tools enable the detection of sensory processing problems in children within their school environment (88). However, Lai et al. reported that although the SPM-School was a highly reliable and valid tool when used with children aged 5 to 12, they recommended using complementary tools for assessing other settings because the correlation between the Home Form and the Classroom Form was low (53). One advantage of these tools is that they allow data to be collected rapidly, even electronically. Furthermore, there exists a shorter version of the SP, the SSP, which has demonstrated discriminate validity of over 95% in identifying children with and without sensory modulation differences (57), which makes it especially useful as a screening method.

A significant difference between the two questionnaires is that SPM provides information on social participation and praxis, whereas the SP2 analyzes children’s neurological threshold and responses associated with emotional and behavioral self-regulation throughout their daily life (7).

It is worth noting that specific, exhaustive protocols are being developed for the use of sensorimotor clinical observations as wider-ranging tests in the assessment of the proprioceptive and vestibular systems. For example, the COP provides a reliable measure for identifying the origin of proprioceptive difficulties that affect children’s functional performance. Inter-rater reliability is high (0.91), and the tool is easy to administer (67).

The results of our study differ from those obtained in the systematic review conducted by Eeles et al. to identify the tools available for measuring sensory processing in children aged 0 to 3 years (4). These authors found that the Sensory Profile (SP) enables early detection of possible modulation or regulation disorders in early childhood. Therefore, we can conclude that, in contrast to the case of the first 3 years of life, in addition to clinical observations and questionnaires, there are also specific tests and tasks for assessing sensory processing designed for the 3–11 age group.

There are still areas in which assessment tools need to be developed, such as the evaluation of overall tactile processing. In this respect, Auld et al. review different clinically useful tools for the assessment of tactile SI, especially for evaluating registration and perception (36). In addition, it could be interesting to develop new assessments of pain for children.

Sensory integration difficulties affect the daily life and functionality of children with dysfunction. Early detection of these particular aspects of SI and praxis will help researchers design specific treatment programs (7). Anomalies in the modulation of one or more sensory channels is one of the first signs of alarm detected by parents, even at very early ages, as in the case of autism spectrum disorders. The close link between the different anomalies of SI and neurodevelopmental disorders in early childhood make assessing sensory processing especially relevant (7, 116). New assessment tools or an updated version of SPIT are required to ensure correct diagnosis of the sensory and motor factors that can affect functionality and participation in daily life activities during childhood, especially for children aged 3 and 4 and children over the age of 9. Key areas to be developed include measures of sensory modulation and wider-ranging tools covering measures of proprioception and vestibular function, standardized assessments of posture and balance and specific measures of praxis (especially ideation and motor planning).

Our review reveals an increase over recent years in the number of tools for measuring sensory processing, both those that are fully validated and those in the research stage. The number has risen from one study published per year between 2006 and 2009, to seven in 2014, demonstrating a trend toward prioritizing the assessment of sensory processing because of its relationship with difficulties in development, learning, and behavior in childhood.

This systematic review shows some limitations that should be considered when interpreting the findings. First, sample exhaustivity: the review article only draws upon relevant studies published in English and Spanish language according to specified search criteria. Second, cultural biases: most of assessment tools referred in our review have been designed in North American context and tested out with North American samples.

Despite such limitations, we consider this systematic review shows relevant information that could help in making decisions about what assessment tools are available and what are more accurate for each age and different patterns of sensory processing. It is the first systematic review focused on Assessment of Sensory Processing Characteristics in Children between 3 and 11 years old. We hope this review will boost pediatricians, neurologists, and occupational therapists to take into account this mode of assessment in their daily clinical practice, in particular when assessing ASD and others neurodevelopmental disorders that could help to an early identification of SPDs: modulation, sensory-based motor, and sensory discrimination disorders (1119).

Not all cultures have specific instruments for the assessment of all dimensions of sensory processing. In these cases, the use of standardized instruments for the target population may be useful for the assessment of specific dimensions required for sensory processing, such as fine and gross motor skills, motor planning, praxis, sequencing, fluidity, and control of movement, particularly children where a sensory-based motor disorders are suspected. In this sense, it could be useful Bruininks-Oseretsky Test of Motor Proficiency, Bayley Scales of Infant and Toddler Development Motor Scale (BSID) among others, to assess motor control, or TVPS-3 or DTVP to assess visual perception, or NEPSY-2 with the aim to know praxis. However, given that the most prevalent SPD are SMDs (43%) (88), in addition to these instruments, SP2 or SPM might be used to assess SMDs, especially in children born preterm and in low birthweight, because they are at risk to suffer developmental disorders (53, 61). In this way, the early detection of SPD is considered basic with the aim to improve the development and the adaptive behavior in childhood.

Transculturally adapted studies are thus a priority to permit the identification of SPDs in other populations and thereby facilitate access to treatment of infant neurodevelopmental disorders. An effective future approach to the assessment of sensory processing may well lie in the fusion of standardized tests with neurophysiological tests, which could permit the use of computerized tasks and brain-imaging techniques such as MEG and RMN (7, 24, 117, 118).

Several important themes regarding assessment and future research in the area of SI and sensory processing emerged from this review. First, it is necessary to develop objective tests to evaluate the modulation in addition to proxy methodology. Second, it is important develop new tools to assess sensory discrimination in children between 0 and 4 years, as well as for children over 9 years old through adolescence. Third, of all the evidence analyzed, none can tell us whether their recording and sensory quality assessment have been performed, which is why it would be desirable to incorporate these elements into the evaluation process, especially in research-based, objective assessment tools via EEG, TMS, and neuroimaging techniques that allow researchers to check how it has produced the sensory register. Fourth, there is a lack of tools that help the clinician determine tactile sensory characteristics, such as the processing of pain, taste, and auditory stimuli.

Finally, although there is evidence of the effectiveness of SI therapy, in the future, randomized controlled trials, systematic reviews, and meta-analyses for different population groups (ASD, ADHD, and other neurodevelopmental disorders or perinatal conditions) should be performed to continue strengthening the effectiveness of occupational therapy using SI.

Author Contributions

All authors conducted the search of literature, reviewed the articles, helped with data synthesis and interpretation, and played a major role in writing the manuscript.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Supplementary Material

The Supplementary Material for this article can be found online at https://www.frontiersin.org/article/10.3389/fped.2017.00057/full#supplementary-material.

References

1. Dunn W. Sensory Profile 2: User’s Manual. USA: Pearson, Inc (2014).

Google Scholar

2. Dunn W. Supporting children to participate successfully in everyday life by using sensory processing knowledge. Infant Young Child (2007) 20(2):84–101. doi: 10.1097/01.IYC.0000264477.05076.5d

CrossRef Full Text | Google Scholar

3. Yack E, Sutton S, Aquilla P. Building Bridges through Sensory Integration. Las Vegas, NV: Sensory Resources (2002).

Google Scholar

4. Eeles A, Spittle AJ, Anderson PJ, Brown N, Lee K, Boyd R, et al. Assessment of sensory processing in infant: a systematic review. Dev Med Child Neurol (2013) 55:314–26. doi:10.1111/j.1469-8749.2012.04434.x

CrossRef Full Text | Google Scholar

5. Crozier SC, Goodson JZ, Mackay ML, Synnes AR, Grunau RE, Miller SP, et al. Sensory processing patterns in children born very preterm. Am J Occup Ther (2015) 70(1):7001220050p1–7. doi:10.5014/ajot.2016.018747

CrossRef Full Text | Google Scholar

6. Ayres J. Sensory Integration and Praxis Tests (SPIT). Los Angeles: Western Psychological Services (1989).

Google Scholar

7. Schaaf RC, Lane AE. Toward a best-practice protocol for assessment of sensory features in ASD. J Autism Dev Disord (2015) 45(5):1380–95. doi:10.1007/s10803-014-2299-z

CrossRef Full Text | Google Scholar

8. Brown T, Morrison IC, Stagnitti K. The convergent validity of two sensory processing scales used with school-age children: comparing the Sensory Profile and the Sensory Processing Measure. New Zeal J Occup Ther (2010) 57(2):56–65.

Google Scholar

9. Baranek G, Little LM, Parham D, Ausderau KK, Sabatos-De Vito MG. Sensory features in autism spectrum disorders. 4th ed. In: Volkmar FR, Rogers SJ, Paul R, Pelphrey KA, editors. Handbook of Autism and Pervasive Developmental Disorders. New Jersey: John Wiley & Sons, Inc (2014). p. 378–408.

Google Scholar

10. Ayres AJ, Tickle LS. Hyper-responsivity to touch and vestibular stimuli as a predictor of positive response to sensory integration procedures by autistic children. Am J Occup Ther (1980) 34(6):375–81.

Google Scholar

11. Ayres AJ. Effect of sensory integrative therapy on the coordination of children with choreoathetoid movements. Am J Occup Ther (1977) 31(5):291–3.

Google Scholar

12. Ayres AJ. Cluster analyses of measures of sensory integration. Am J Occup Ther (1977) 31(6):362–6.

Google Scholar

13. Bowyer P, Cahill SM. Pediatric Occupational Therapy Handbook. A Guide to Diagnoses and Evidence-Based Practice. St. Louis: Mosby Elsevier (2009).

Google Scholar

14. Parham LD, Mailloux Z. Sensory integration. 4th ed. In: Case-Smith J, editor. Occupational Therapy for Children. St. Louis: Mosby (2001). p. 329–81.

Google Scholar

15. Ahn RR, Miller LJ, Milberger S, McIntosh DN. Prevalence of parents’ perceptions of sensory processing disorders among kindergarten children. Am J Occup Ther (2004) 58(3):287–93. doi:10.5014/ajot.58.3.287

CrossRef Full Text | Google Scholar

16. Dunn W. Sensory Profile Supplement User’s Manual. San Antonio, TX: Harcourt Assessment (2006).

Google Scholar

17. Baranek GT, Chin YH, Hess LM, Yankee JG, Hatton DD, Hooper SR. Sensory processing correlates of occupational performance in children with fragile X syndrome: preliminary findings. Am J Occup Ther (2002) 56(5):538–46. doi:10.5014/ajot.56.5.538

CrossRef Full Text | Google Scholar

18. Kern JK, Garver CR, Carmody T, Andrews AA, Trivedi MH, Mehta JA. Examining sensory quadrants in autism. Res Autism Spectr Disord (2007) 1(2):185–93. doi:10.1016/j.rasd.2006.09.002

CrossRef Full Text | Google Scholar

19. Reebye P, Stalker A. Understanding Regulation Disorders of Sensory Processing in Children: Management Strategies for Parents and Professionals. London: Jessica Kingsley Publishers (2008).

Google Scholar

20. Rogers SJ, Hepburn S, Wehner E. Parent reports of sensory symptoms in toddlers with autism and those with other developmental disorders. J Autism Dev Disord (2003) 33(6):631–42. doi:10.1023/B:JADD.0000006000.38991.a7

CrossRef Full Text | Google Scholar

21. ICDL. Diagnostic Manual for Infancy and Early Childhood. Bethesda: ICDL (2005).

Google Scholar

22. Eapen V, Črnčec R. DSM 5 and child psychiatric disorders: what is new? What has changed? Asian J Psychiatr (2014) 11:114–8. doi:10.1016/j.ajp.2014.04.008

CrossRef Full Text | Google Scholar

23. Miller LJ, Anzalone ME, Lane SJ, Cermak SA, Osten ET. Concept evolution in sensory integration: a proposed nosology for diagnosis. Am J Occup Ther (2007) 61(2):135–40. doi:10.5014/ajot.61.2.135

CrossRef Full Text | Google Scholar

24. Miller LJ, Nielsen DM, Schoen SA. Attention deficit hyperactivity disorder and sensory modulation disorder: a comparison of behavior and physiology. Res Dev Disabil (2012) 33(3):804–18. doi:10.1016/j.ridd.2011.12.005

CrossRef Full Text | Google Scholar

25. Dunn W, Myles BS, Orr S. Sensory processing issues associated with Asperger syndrome: a preliminary investigation. Am J Occup Ther (2002) 56(1):97–102. doi:10.5014/ajot.56.1.97

CrossRef Full Text | Google Scholar

26. Miller LJ, Schoen SA, James K, Schaaf RC. Lessons learned: a pilot study on occupational therapy effectiveness for children with sensory modulation disorder. Am J Occup Ther (2007) 61(2):161–9. doi:10.5014/ajot.61.2.161

CrossRef Full Text | Google Scholar

27. Blanche EI, Parham D, Chang M, Mallinson T. Development of an adult sensory processing scale (ASPS). Am J Occup Ther (2014) 68(5):531–8. doi:10.5014/ajot.2014.012484

CrossRef Full Text | Google Scholar

28. Schoen SA, Miller LJ, Sullivan JC. Measurement in sensory modulation: the sensory processing scale assessment. Am J Occup Ther (2014) 68(5):522–30. doi:10.5014/ajot.2014.012377

CrossRef Full Text | Google Scholar

29. Goldsmith HH, Van Hulle CA, Arneson CL, Schreiber JE, Gernsbacher MA. A population-based twin study of parentally reported tactile and auditory defensiveness in young children. J Abnorm Child Psychol (2006) 34(3):393–407. doi:10.1007/s10802-006-90240

CrossRef Full Text | Google Scholar

30. Dunn W. The sensations of everyday life: empirical, theoretical, and pragmatic considerations. Am J Occup Ther (2001) 55(6):608–20. doi:10.5014/ajot.55.6.608

CrossRef Full Text | Google Scholar

31. Dunn W, Brown C. Factor analysis on the Sensory Profile from a national sample of children without disabilities. Am J Occup Ther (1997) 51(7):490–5; discussion 6–9.

Google Scholar

32. Mailloux Z, Mulligan S, Roley SS, Blanche E, Cermak S, Coleman GG, et al. Verification and clarification of patterns of sensory integrative dysfunction. Am J Occup Ther (2011) 65(2):143–51. doi:10.5014/ajot.2011.000752

CrossRef Full Text | Google Scholar

33. Lane SJ, Bundy AC. Kids Can Be Kids a childhoods Occupations Approach. Philadelphia: F.A Davis Company (2012). p. 437–59.

Google Scholar

34. Miller LJ, Coll JR, Schoen SA. A randomized controlled pilot study of the effectiveness of occupational therapy for children with sensory modulation disorder. Am J Occup Ther (2007) 61(2):228–38. doi:10.5014/ajot.61.2.228

CrossRef Full Text | Google Scholar

35. Asher AV, Parham LD, Knox S. Interrater reliability of Sensory Integration and Praxis Tests (SIPT) score interpretation. Am J Occup Ther (2008) 62(3):308–19. doi:10.5014/ajot.62.3.308

CrossRef Full Text | Google Scholar

36. Auld ML, Boyd RN, Moseley GL, Johnston LM. Tactile assessment in children with cerebral palsy: a clinimetric review. Phys Occup Ther Pediatr (2011) 31(4):413–39. doi:10.3109/01942638.2011.572150

CrossRef Full Text | Google Scholar

37. Parham LD, Roley SS, May-Benson TA, Koomar J, Brett-Green B, Burke JP, et al. Development of a fidelity measure for research on the effectiveness of the Ayres Sensory Integration intervention. Am J Occup Ther (2011) 65(2):133–42. doi:10.5014/ajot.2011.000745

CrossRef Full Text | Google Scholar

38. Schaaf RC, Burke JP, Cohn E, May-Benson TA, Schoen SA, Roley SS, et al. State of measurement in occupational therapy using sensory integration. Am J Occup Ther (2014) 68(5):e149–53. doi:10.5014/ajot.2014.012526

CrossRef Full Text | Google Scholar

39. Mailloux Z, May-Benson TA, Summers CA, Miller LJ, Brett-Green B, Burke JP, et al. Goal attainment scaling as a measure of meaningful outcomes for children with sensory integration disorders. Am J Occup Ther (2007) 61(2):254–9. doi:10.5014/ajot.61.2.254

CrossRef Full Text | Google Scholar

40. Reuben DB, Magasi S, McCreath HE, Bohannon RW, Wang YC, Bubela DJ, et al. Motor assessment using the NIH Toolbox. Neurology (2013) 80(11 Suppl 3):S65–75. doi:10.1212/WNL.0b013e3182872e01

CrossRef Full Text | Google Scholar

41. Koenig KP, Rudney SG. Performance challenges for children and adolescents with difficulty processing and integrating sensory information: a systematic review. Am J Occup Ther (2010) 64(3):430–42. doi:10.5014/ajot.2010.09073

CrossRef Full Text | Google Scholar

42. Baranek GT. Efficacy of sensory and motor interventions for children with autism. J Autism Dev Disord (2002) 32(5):397–422. doi:10.1023/A:1020541906063

CrossRef Full Text | Google Scholar

43. Baranek GT, Boyd BA, Poe MD, David FJ, Watson LR. Hyperresponsive sensory patterns in young children with autism, developmental delay, and typical development. Am J Ment Retard (2007) 112(4):233–45. doi:10.1352/0895-8017(2007)112%5B233:HSPIYC%5D2.0.CO;2

CrossRef Full Text | Google Scholar

44. Dunn W, Westman K. The sensory profile: the performance of a national sample of children without disabilities. Am J Occup Ther (1997) 51(1):25–34.

Google Scholar

45. Dunn W. Performance of typical children on the sensory profile: an item analysis. Am J Occup Ther (1994) 48(11):967–74.

Google Scholar

46. Wei BY, Wei YY, Huang F. [Influential factors for the sensory integration training effects in children with autism]. Zhongguo Dang Dai Er Ke Za Zhi (2009) 11(2):124–7.

Google Scholar

47. McIntosh DN, Miller LJ, Shyu V, Hagerman RJ. Sensory-modulation disruption, electrodermal responses, and functional behaviors. Dev Med Child Neurol (1999) 41(9):608–15.

Google Scholar

48. Bundy A, Lane SJ, Fisher A. Sensory Integration: Theory and Practice. Philadelphia: F.A. Davis (2002).

Google Scholar

49. Provost B, Oetter P. The sensory rating scale for infants and young children: development and reliability. Phys Occup Ther Pediatr (1993) 13(4):15–35.

Google Scholar

50. Dunn W. Infant/Toddler Sensory Profile. User’s Manual. San Antonio, TX: The Psychological Corporation (2002).

Google Scholar

51. Degangi G, Greenspan SI. Test of Sensory Functions in Infants (TSFI) Manual. Los Angeles: CA: Western Psychological Services (1989).

Google Scholar

52. Parham LD, Ecker C, Miller H, Henry DA, Glennon TJ. Sensory Processing Measure. Los Angeles: WPS (2007).

Google Scholar

53. Lai CY, Chung JC, Chan CC, Li-Tsang CW. Sensory processing measure-HK Chinese version: psychometric properties and pattern of response across environments. Res Dev Disabil (2011) 32(6):2636–43. doi:10.1016/j.ridd.2011.06.010

CrossRef Full Text | Google Scholar

54. Dunn W. The Sensory Profile: User’s Manual. San Antonio: The Psychological Corporation (1999).

Google Scholar

55. Abu-Dahab SM, Malkawi SH, Nadar MS, Al Momani F, Holm MB. The validity and reliability of the Arabic infant/toddler sensory profile. Phys Occup Ther Pediatr (2014) 34(3):300–12. doi:10.3109/01942638.2013.823474

CrossRef Full Text | Google Scholar

56. Benjamin TE, Crasta JE, Suresh AP, Alwinesh MJ, Kanniappan G, Padankatti SM, et al. Sensory profile caregiver questionnaire: a measure for sensory impairment among children with developmental disabilities in India. Indian J Pediatr (2014) 81(Suppl 2):S183–6. doi:10.1007/s12098-014-1603-4

CrossRef Full Text | Google Scholar

57. Tomchek SD, Dunn W. Sensory processing in children with and without autism: a comparative study using the short sensory profile. Am J Occup Ther (2007) 61(2):190–200. doi:10.5014/ajot.61.2.190

CrossRef Full Text | Google Scholar

58. DeGangi GA, Berk R. DeGangi-Berk Test of Sensory Integration (TSI) Manual. Los Angeles, CA: Western Psychological Services (1983).

Google Scholar

59. DeGangi GA, Berk RA, Larsen LA. The measurement of vestibular-based functions in pre-school children. Am J Occup Ther (1980) 34(7):452–9.

Google Scholar

60. Berk RA, DeGangi GA. Technical considerations in the evaluation of pediatric motor scales. Am J Occup Ther (1979) 33(4):240–4.

Google Scholar

61. Royeen CB. The development of a touch scale for elementary school aged children. Am J Occup Ther (1986) 40:414–9.

Google Scholar

62. Royeen CB, Fortune JC. Touch inventory for elementary-school-aged children. Am J Occup Ther (1990) 44(2):155–9.

Google Scholar

63. Ayres AJ. Interpreting the Southern California Sensory Integration Test. Los Angeles, CA: Western Psychological Services. WPS (1984).

Google Scholar

64. Blanche E. Observations Based on Sensory Integration. Torrance, CA: Pediatric Therapy Network (2002).

Google Scholar

65. Blanche EI. Observations Based on Sensory Integration Theory. Torrance, CA: Pediatric Therapy Network (2010).

Google Scholar

66. Blanche E, Reinoso G, Blanche-Kiefer D. Observaciones clínicas sensoriomotoras. Evaluaciones y aplicación clínica en niños con dificultades en el desarrollo y procesamiento sensorial. Los Angeles, CA: Sensory Metrics, Inc (2014).

Google Scholar

67. Blanche EI, Bodison S, Chang MC, Reinoso G. Development of the comprehensive observations of proprioception (COP): validity, reliability, and factor analysis. Am J Occup Ther (2012) 66(6):691–8. doi:10.5014/ajot.2012.003608

CrossRef Full Text | Google Scholar

68. Miller LJ. Miller Assessment for Preschoolers Manual (Revised Edition). San Antonio, TX: Psychological Corporation (1988).

Google Scholar

69. Baranek GT, David FJ, Poe MD, Stone WL, Watson LR. Sensory experiences questionnaire: discriminating sensory features in young children with autism, developmental delays, and typical development. J Child Psychol Psychiatry (2006) 47(6):591–601. doi:10.1111/j.1469-7610.2005.01546.x

CrossRef Full Text | Google Scholar

70. Little LM, Freuler AC, Houser MB, Guckian L, Carbine K, David FJ, et al. Psychometric validation of the sensory experiences questionnaire. Am J Occup Ther (2011) 65(2):207–10. doi:10.5014/ajot.2011.000844

CrossRef Full Text | Google Scholar

71. Little LM, Sideris J, Ausderau K, Baranek GT. Activity participation among children with autism spectrum disorder. Am J Occup Ther (2014) 68(2):177–85. doi:10.5014/ajot.2014.009894

CrossRef Full Text | Google Scholar

72. Ausderau K, Sideris J, Furlong M, Little LM, Bulluck J, Baranek GT. National survey of sensory features in children with ASD: Factor structure of the sensory experience questionnaire (3.0). Journal of autism and developmental disorders (2014) 44(4):915–25. doi:10.1007/s10803-013-1945-1

CrossRef Full Text | Google Scholar

73. Ivey CK, Lane SJ, May-Benson TA. Interrater reliability and developmental norms in preschoolers for the motor planning maze assessment (MPMA). Am J Occup Ther (2014) 68(5):539–45. doi:10.5014/ajot.2014.012468

CrossRef Full Text | Google Scholar

74. Crowe TK, Deitz JC, Richardson PK, Atwater SW. Interrater reliability of the pediatric clinical test of sensory interaction for balance. Phys Occup Ther Pediatr (1991) 10(4):1–27.

Google Scholar

75. Kuhaneck HM, Kelleher J. Development of the Classroom Sensory Environment Assessment (CSEA). Am J Occup Ther (2015) 69(6):6906180040p1–9. doi:10.5014/ajot.2015.019430

CrossRef Full Text | Google Scholar

76. Servicio de Evaluación de Tecnologías Sanitarias (Osteba). FLC Critica Manual de Uso: Versión 1.1.0. País Vasco: Servicio de Evaluación de Tecnologías Sanitarias (2008).

Google Scholar

77. Vanvuchelen M, Roeyers H, De Weerdt W. Measuring procedural imitation aptitude in children: further validation of the preschool imitation and praxis scale (PIPS). Percept Mot Skills (2011) 113(3):773–92. doi:10.2466/10.11.22.PMS.113.6.773-792

CrossRef Full Text | Google Scholar

78. Vanvuchelen M, Roeyers H, De Weerdt W. Objectivity and stability of the preschool imitation and praxis scale. Am J Occup Ther (2011) 65(5):569–77. doi:10.5014/ajot.2010.ajot00000414

CrossRef Full Text | Google Scholar

79. Richardson PK, Atwater SW, Crowe TK, Deitz JC. Performance of preschoolers on the pediatric clinical test of sensory interaction for balance. Am J Occup Ther (1992) 46(9):793–800.

Google Scholar

80. Kirby AV, Little LM, Schultz B, Baranek GT. Observational characterization of sensory interests, repetitions, and seeking behaviors. Am J Occup Ther (2015) 69(3):6903220010p1–9. doi:10.5014/ajot.2015.015081

CrossRef Full Text | Google Scholar

81. Roley SS, Mailloux Z, Parham LD, Schaaf RC, Lane CJ, Cermak S. Sensory integration and praxis patterns in children with autism. Am J Occup Ther (2014) 69(1):6901220010p1–8. doi:10.5014/ajot.2015.012476

CrossRef Full Text | Google Scholar

82. Mailloux Z. An overview of sensory integration and praxis tests. Am J Occup Ther (1990) 44(7):589–94.

Google Scholar

83. Cermak SA, Murray EA. The validity of the constructional subtests of the sensory integration and praxis tests. Am J Occup Ther (1991) 45(6):539–43.

Google Scholar

84. Kimball JG. Using the sensory integration and praxis tests to measure change: a pilot study. Am J Occup Ther (1990) 44(7):603–8.

Google Scholar

85. Szklut S. Using clinical reasoning to evaluate sensory processing dysfunction. Sens Integration Special Interest Section Q (2010) 33(4):1–4.

Google Scholar

86. Kandel ER. Principles of Neural Science. 5th ed. New York: McGraw-Hill Medical (2013). 1709 p.

Google Scholar

87. Henry D, McClary M. The sensory processing measure-preschool (SPM-P). Part two: test-retest and collective collaborative empowerment. Including a father’s perspective. J Occup Ther Schools Early Interv (2011) 4(1):53–70. doi:10.1080/19411243.2011.576891

CrossRef Full Text | Google Scholar

88. Miller-Kuhaneck H, Henry DA, Glennon TJ, Mu K. Development of the sensory processing measure-school: initial studies of reliability and validity. Am J Occup Ther (2007) 61(2):170–5. doi:10.5014/ajot.61.2.170

CrossRef Full Text | Google Scholar

89. Brown G, Brown A. A review and critique of the touch inventory for elementary school-aged children (TIE). Br J Occup Ther (2006) 69(5):234–43. doi:10.1177/030802260606900507

CrossRef Full Text | Google Scholar

90. Watling R. Sensory Sensitivity Questionnaire-Revised (SSQ-R). Encyclopedia of Autism Spectrum Disorders. New York: Springer New York (2013). p. 2815–6.

Google Scholar

91. Bruininks R, Bruininks B. Bruininks-Oseretsky Test of Motor Proficiency. 2nd ed. Minneapolis, MN: Pearson (2005).

Google Scholar

92. Bayley N. Bayley Scales of Infant and Toddler Development. Third ed. USA: Pearson (2005).

Google Scholar

93. Bayley N. Escalas Bayley de desarrollo infantile – III. Adaptación española. Madrid: Pearson (2015).

Google Scholar

94. Henderson S, Sudgen D, Barnett A. Movement Assessment Battery for Children 2-MABC. USA: Pearson (2007).

Google Scholar

95. Newborg J. Battelle Developmental Inventory. 2nd ed. Itasca, IL: Riverside Publishing (2004).

Google Scholar

96. Folio MR, Fewell RR. Peabody Developmental Scales. 2nd ed. Austin: Pro-ed (2000).

Google Scholar

97. Martin N. Test of Visual Motor Skills-3. Los Angeles, CA: WPS (2010).

Google Scholar

98. Hammil D, Pearson N, Voress J. Developmental Test of Visual Perception (DTVP-3). USA: Pearson (2013).

Google Scholar

99. Beery KE, Buktenica NA, Beery NA. Beery-Buktenica Developmental Test of Visual-Motor Integration. 6th ed. Minneapolis, MN: Pearson (2010).

Google Scholar

100. Martin N. Test of Visual Perceptual Skills-3 (TVPS-3). Novato, Canada: Academic Therapy Publications (2010).

Google Scholar

101. Colarusso R, Hammill D. Motor-Free Visual Perception Test. Novata, CA: Academic Therapy Publications (2003).

Google Scholar

102. Wilson BN, Crawford SG, Green D, Roberts G, Aylott A, Kaplan B. Psychometric properties of the revised developmental coordination disorder questionnaire. Phys Occup Ther Pediatr (2009) 29(2):182–202. doi:10.1080/01942630902784761

CrossRef Full Text | Google Scholar

103. McFall SA, Deitz JC, Crowe TK. Test-retest reliability of the test of visual perceptual skills with children with learning disabilities. Am J Occup Ther (1993) 47(9):819–24.

Google Scholar

104. Jirikowic TL, Engel JM, Deitz JC. The test of sensory functions in infants: test-retest reliability for infants with developmental delays. Am J Occup Ther (1997) 51(9):733–8.

Google Scholar

105. May-Benson TA, Koomar JA. Systematic review of the research evidence examining the effectiveness of interventions using a sensory integrative approach for children. Am J Occup Ther (2010) 64(3):403–14. doi:10.5014/ajot.2010.09071

CrossRef Full Text | Google Scholar

106. Lang R, O’Reilly M, Healy O, Rispoli M, Lyndon H, Streusand W, et al. Sensory integration therapy for autism spectrum disorders: a systematic review. Res Autism Spectr Disord (2012) 6(3):1004–18. doi:10.1016/j.rasd.2012.01.006

CrossRef Full Text | Google Scholar

107. May-Benson TA, Roley SS, Mailloux Z, Parham LD, Koomar J, Schaaf RC, et al. Interrater reliability and discriminative validity of the structural elements of the Ayres Sensory Integration Fidelity Measure. Am J Occup Ther (2014) 68(5):506–13. doi:10.5014/ajot.2014.010652

CrossRef Full Text | Google Scholar

108. Lewine JD, Davis JT, Bigler ED, Thoma R, Hill D, Funke M, et al. Objective documentation of traumatic brain injury subsequent to mild head trauma: multimodal brain imaging with MEG, SPECT, and MRI. J Head Trauma Rehabil (2007) 22(3):141–55. doi:10.1097/01.HTR.0000271115.29954.27

CrossRef Full Text | Google Scholar

109. Kranowitz C. Preschool Sense. Preschool Sensory Scan for Educators. Las Vegas: Sensory Resources (2005).

Google Scholar

110. Mutti M, Martin N, Sterling H, Spalding N. Quick Neurological Screening Test. 3rd ed. USA: Academic Therapy Publications (2012).

Google Scholar

111. Richter E, Montgomery P. The Sensorimotor Performance Analysis (SPA). Hugo, MN: PDP Press Inc (1995).

Google Scholar

112. Reisman J, Hanschu B. Sensory Integration Inventory Revised for Individuals with Developmental Disabilities (SII-R). USA: PDP Press (1999).

Google Scholar

113. Carmona S, Hoekzema E, Castellanos FX, García-García D, Lage-Castellanos A, Van Dijk KR, et al. Sensation-to-cognition cortical streams in attention-deficit/hyperactivity disorder. Hum Brain Mapp (2015) 36(7):2544–57. doi:10.1002/hbm.22790

CrossRef Full Text | Google Scholar

114. Scherder EJ, Rommelse NN, Bröring T, Faraone SV, Sergeant JA. Somatosensory functioning and experienced pain in ADHD-families: a pilot study. Eur J Paediatr Neurol (2008) 12(6):461–9. doi:10.1016/j.ejpn.2007.11.004

CrossRef Full Text | Google Scholar

115. Parush S, Sohmer H, Steinberg A, Kaitz M. Somatosensory function in boys with ADHD and tactile defensiveness. Physiol Behav (2007) 90(4):553–8. doi:10.1016/j.physbeh.2006.11.004

CrossRef Full Text | Google Scholar

116. Martinez-Sanchis S. The role of the prefrontal cortex in the sensory problems of children with autism spectrum disorder and its involvement in social aspects. Rev Neurol (2015) 60(S01):S19–24.

Google Scholar

117. Davies PL, Gavin WJ. Validating the diagnosis of sensory processing disorders using EEG technology. Am J Occup Ther (2007) 61(2):176–89. doi:10.5014/ajot.61.2.176

CrossRef Full Text | Google Scholar

118. Brett-Green BA, Miller LJ, Gavin WJ, Davies PL. Multisensory integration in children: a preliminary ERP study. Brain Res (2008) 1242:283–90. doi:10.1016/j.brainres.2008.03.090

CrossRef Full Text | Google Scholar

Keywords: assessment, children, sensory integration, sensorial modulation, sensory processing

Citation: Jorquera-Cabrera S, Romero-Ayuso D, Rodriguez-Gil G and Triviño-Juárez J-M (2017) Assessment of Sensory Processing Characteristics in Children between 3 and 11 Years Old: A Systematic Review. Front. Pediatr. 5:57. doi: 10.3389/fped.2017.00057

Received: 19 October 2016; Accepted: 07 March 2017;
Published: 30 March 2017

Edited by:

Ashok Mysore, St. John’s Medical College Hospital, India

Reviewed by:

Magdalena Romanowicz, Stanford University, USA
Munis Dundar, Erciyes University, Turkey

Copyright: © 2017 Jorquera-Cabrera, Romero-Ayuso, Rodriguez-Gil and Triviño-Juárez. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Dulce Romero-Ayuso, drayuso@gmail.com

Download