Association between sensory processing and activity performance in children with cerebral palsy levels I-II on the gross motor function classification system

Pavão, Sílvia Leticia; Lima, Camila Resende Gâmbaro; Rocha, Nelci Adriana Cicuto Ferreira

doi:10.1016/j.bjpt.2020.05.007

Cited by 17 publications

(20 citation statements)

References 28 publications

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“…The interest in exploring the relationship between sensory profile and gross motor function in children and adolescents with disabilities has grown recently (Galiana-Simal et al 2020;Mikami et al 2021), and supports the interest in understanding these aspects in children and adolescents with DS. Studies have showed that individuals with other intellectual and developmental disabilities (e.g., autism spectrum disorder and cerebral palsy) are impacted by difficulties with sensory processing (Meilleur et al 2020;Pavão et al 2021;Isralowitz et al 2023). For children with autism spectrum disorder, previous studies investigated the association between sensory processing patterns and motor function, showing difficulties in sensory integrative dimensions and poor performance on coordination-related motor tasks (Wuang et al 2020), in addition to delayed motor development and deficient perceptual-motor functions that influence multiple sensory and neuromotor systems (Provost et al 2007).…”

Section: Introductionmentioning

confidence: 99%

“…For children with autism spectrum disorder, previous studies investigated the association between sensory processing patterns and motor function, showing difficulties in sensory integrative dimensions and poor performance on coordination-related motor tasks (Wuang et al 2020), in addition to delayed motor development and deficient perceptual-motor functions that influence multiple sensory and neuromotor systems (Provost et al 2007). For individuals with cerebral palsy at Gross Motor Function Classification System (GMFCS) levels I and II (relatively able function), a previous study showed that the behavioural outcome of sensory processing was a significant predictor of functional abilities (Pavão et al 2021).…”

Section: Introductionmentioning

confidence: 99%

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Relationship between sensory processing patterns and gross motor function of children and adolescents with Down syndrome and typical development: a cross‐sectional study

Brugnaro,

Pauletti,

Lima

et al. 2024

J intellect Disabil Res

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BackgroundChildren and adolescents with Down syndrome (DS) may experience impairments in sensory and motor skills that can be interrelated. The purposes of this study were (i) to compare the sensory processing patterns and gross motor function between children and adolescents with DS and with typical development (TD) and (ii) to explore associations between these areas in both DS and TD groups.MethodThis cross‐sectional study involved a sample size of 25 participants with DS (mean age 10.24 ± 2.04 years) and 25 participants with TD (mean age 10.04 ± 2.82 years). The sensory processing patterns were assessed using the Sensory Profile Second Version questionnaire, and the gross motor function was measured with the Gross Motor Function Measure (GMFM‐88) dimensions (D) standing, and (E) walking, running, and jumping. Differences between groups were tested using the Mann–Whitney test, and the relationship between the variables was examined using Spearman's correlation tests, with a significance level set at 5%.ResultsChildren with DS showed greater difficulties with sensory processing than TD children in Seeker (P < 0.001), Avoider (P < 0.001), Sensitivity (P < 0.001), Registration (P < 0.001), Auditory (P < 0.001), Touch (P = 0.001), Movements (P = 0.001), Oral (P = 0.028), Conduct (P = 0.005), Socioemotional (P < 0.001), and Attentional (P < 0.001) domains. Additionally, children with DS presented lower gross motor function than TD in GMFM‐88, standing (P < 0.001) and walking, running, and jumping (P < 0.001). Correlations were found between greater difficulties with sensory processing in Touch and lower gross motor function in walking, running, and jumping for the DS group.ConclusionOur results suggest there are more difficulties in sensory processing patterns and gross motor function in children with DS than in TD. Also, there is a single association between more difficulties in sensory processing and less well‐developed motor function in the DS group. Therefore, a comprehensive assessment of all these aspects should be performed in children and adolescents with DS, along with the provision of relevant interventions addressing specific needs.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Relationship between sensory processing patterns and gross motor function of children and adolescents with Down syndrome and typical development: a cross‐sectional study

Brugnaro,

Pauletti,

Lima

et al. 2024

J intellect Disabil Res

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“…The World Health Organization reported that more than 15% of the world’s population has a physical limitation, such as cerebral palsy (CP) [ 3 ]. The Gross Motor Function Classification System (GMFCS) scale is essential for determining physical movement skills in patients with CP, e.g., the ability to sit up [ 4 ]. Similarly, the Manual Ability Classification System (MACS) scale determines fine motor skills, specifically of the hand, e.g., activities that the patient can perform daily, from combing hair to tying shoelaces [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

Kinect v2-Assisted Semi-Automated Method to Assess Upper Limb Motor Performance in Children

Francisco-Martínez¹,

Padilla-Medina²,

Prado-Olivarez³

et al. 2022

Sensors

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The interruption of rehabilitation activities caused by the COVID-19 lockdown has significant health negative consequences for the population with physical disabilities. Thus, measuring the range of motion (ROM) using remotely taken photographs, which are then sent to specialists for formal assessment, has been recommended. Currently, low-cost Kinect motion capture sensors with a natural user interface are the most feasible implementations for upper limb motion analysis. An active range of motion (AROM) measuring system based on a Kinect v2 sensor for upper limb motion analysis using Fugl-Meyer Assessment (FMA) scoring is described in this paper. Two test groups of children, each having eighteen participants, were analyzed in the experimental stage, where upper limbs’ AROM and motor performance were assessed using FMA. Participants in the control group (mean age of 7.83 ± 2.54 years) had no cognitive impairment or upper limb musculoskeletal problems. The study test group comprised children aged 8.28 ± 2.32 years with spastic hemiparesis. A total of 30 samples of elbow flexion and 30 samples of shoulder abduction of both limbs for each participant were analyzed using the Kinect v2 sensor at 30 Hz. In both upper limbs, no significant differences (p < 0.05) in the measured angles and FMA assessments were observed between those obtained using the described Kinect v2-based system and those obtained directly using a universal goniometer. The measurement error achieved by the proposed system was less than ±1° compared to the specialist’s measurements. According to the obtained results, the developed measuring system is a good alternative and an effective tool for FMA assessment of AROM and motor performance of upper limbs, while avoiding direct contact in both healthy children and children with spastic hemiparesis.

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“…Most studies addressing sensory processing in children with CP use sophisticated neuroimaging equipment, which is not widely available in clinical settings. Using clinical measures to assess sensory processing in children with CP is still not common [13].…”

Section: Introductionmentioning

confidence: 99%

Sensory systems processing in children with spastic cerebral palsy: a pilot study

2021

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Background The study of the sensory aspect alongside the motor aspect in children with spastic cerebral palsy is critical. Knowledge may help improve intervention, children’s quality of life, activity, and participation. The study aims to analyze the sensory systems processing in children with spastic cerebral palsy classified by Gross Motor Function Classification System (GMFCS) as levels I, II, and III using Child Sensory Profile 2 (CSP-2). Caregivers of children with spastic cerebral palsy aged 6–9 years (n = 20) completed the CSP-2. Children with severe comorbidities besides cerebral palsy (i.e., diabetes, myopathy, neuropathy, and uncontrolled epilepsy), autism, burn injuries, hearing or vision loss were excluded. Results All twenty participating children showed sensory processing difficulties in at least one of the sensory sections. With 14 out of 20 showing abnormalities in more than one section, the majority showed problems in the body position section, followed by the movement section. There was a significant difference between raw scores means of children with unilateral and bilateral SCP at the “body position” section, unlike the rest of the other sections. Conclusions Children with spastic cerebral palsy (GMFCS levels I, II, and III) show sensory systems processing difficulties compared to normative data, especially at vestibular and proprioceptive processing.

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Association between sensory processing and activity performance in children with cerebral palsy levels I-II on the gross motor function classification system

Cited by 17 publications

References 28 publications

Relationship between sensory processing patterns and gross motor function of children and adolescents with Down syndrome and typical development: a cross‐sectional study

Relationship between sensory processing patterns and gross motor function of children and adolescents with Down syndrome and typical development: a cross‐sectional study

Kinect v2-Assisted Semi-Automated Method to Assess Upper Limb Motor Performance in Children

Sensory systems processing in children with spastic cerebral palsy: a pilot study

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