学龄儿童感官加工与自述休闲活动参与及偏好的关系研究

E. Brady, T. Brown
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引用次数: 0

摘要

目前,关于正常发育儿童的感官加工及其如何影响其休闲活动参与和偏好的研究有限。目的:探讨7 ~ 12岁儿童感官加工与自我报告的休闲活动参与和偏好之间的关系。24名儿童(女10名,男14名);平均年龄9.70岁;SD = 1.83完成儿童参与和享受/儿童活动偏好评估(CAPE/PAC)。每个孩子的主要照顾者完成了感觉处理测量-家庭表格(SPM)。数据分析采用Spearman rho相关和自举线性回归分析。在SPM和CAPE量表之间有12个显著相关,在SPM和PAC量表之间有4个显著相关。在SPM子量表中,Touch (rho =−。560至0.445,p < 0.01), SPM总评分(rho = -。541 ~ 0.426, p < 0.01)与CAPE的显著相关性最高。SPM和PAC之间的显著相关包括:i) SPM身体意识和PAC正式活动偏好(rho = 0.405 ~ 0.451, p < 0.05);ii) SPM平衡和运动和PAC自我改善活动偏好(rho = -。447, p < 0.05);SPM视觉和PAC社会活动偏好(rho = .434, p < .05)。回归分析结果发现,两种CAPE活动类型和一个活动域的参与强度与SPM总分存在显著的预测关系:1)CAPE自我完善活动强度(p = 0.015,调整后R2 = 0.206);ii) CAPE社会活动强度(p = 0.05,调整后R2 = 0.127);CAPE非正式活动强度(p = 0.013,调整后R2 = 0.213)。儿童在CAPE自我完善、社会和非正式活动的参与强度与其SPM总分之间存在显著的预测关系。这表明多感觉加工的挑战可能会对儿童参与休闲活动的频率产生负面影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Investigation of the Association between School-Aged Children’s Sensory Processing and Their Self-Reported Leisure Activity Participation and Preferences
ABSTRACT Limited research currently exists that examines typically-developing children’s sensory processing and how this effects their leisure activity participation and preferences. To investigate the association between sensory processing and the self-reported leisure activity participation and preferences in children aged seven to 12 years. 24 children (10 females, 14 males; mean age: 9.70 years; SD = 1.83 completed the Children’s Assessment of Participation and Enjoyment/Preferences for Activities of Children (CAPE/PAC). Each child’s primary caregiver completed the Sensory Processing Measure – Home Form (SPM). Data were analyzed using Spearman rho correlation and linear regression analyses with bootstrapping. Twelve significant correlations were identified between the SPM and CAPE subscales and four were identified between SPM and PAC subscales. Of the SPM subscales, Touch (rho = −.560 to .445, p < .01) and SPM Total score (rho = −.541 to .426, p < .01) had the highest number of significant correlations with the CAPE. Significant correlations identified between the SPM and the PAC included: i) SPM Body Awareness and PAC Formal Activities Preference (rho = .405 to .451, p < .05); ii) SPM Balance and Motion and PAC Self-Improvement Activities Preference (rho = −.447, p < .05); and iii) SPM Visual and PAC Social Activities Preference (rho = .434, p < .05). Regression analysis results identified significant predictive relationships between the SPM Total score and the intensity of participation in two CAPE activity types and one activity domain: i) CAPE Self-Improvement Activities Intensity (p = .015, Adjusted R2 = .206); ii) CAPE Social Activities Intensity (p = .05, Adjusted R2 =.127); and iii) CAPE Informal Activities Intensity (p = .013, Adjusted R2 = .213). A significant predictive relationship was identified between children’s intensity of participation in CAPE Self-Improvement, Social and Informal Activities and their SPM Total score. This indicates that challenges with multisensory processing may negatively impact the frequency of children’s participation in leisure activities.
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