Sensory processing differences and behavioural problems in children with autism: a retrospective study using statistical modelling and multi-output machine learning.

IF 2.3 4区 医学 Q2 PEDIATRICS
Chenyu Yan, Jialu Xu, Kexin Duan, Yifei Xiang, Haifeng Li
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Abstract

Background: Sensory processing differences (SPDs) are common in children with autism, yet their specific contributions to behavioural problems remain insufficiently explored. To examine how SPDs relate to behavioural problems in children with autism and to identify key sensory predictors and sensory-based subtypes associated with behavioural risk.

Methods: The retrospective study included 127 children with autism (1-7 years) who received rehabilitation training at a tertiary children's hospital between 2020 and 2024. Fifteen SPD features across visual, auditory, tactile, gustatory/olfactory and vestibular/proprioceptive modalities (covering sensitivity, hyporesponsivity and seeking behaviours) and six behavioural problems were coded as binary variables based on parent-reported questionnaires. Associations were analysed using Phi correlations and logistic regression. A multi-output random forest with Shapley Additive Explanations (SHAP) evaluated the joint predictive value of SPDs. Hierarchical clustering using Jaccard distance was used to identify sensory subtypes and compare behavioural profiles.

Results: Vestibular/proprioceptive seeking was positively associated with frequent tantrums (φ=0.30) and emerged as an independent predictor (OR=3.83, 95% CI 1.65 to 8.90). Visual seeking was negatively associated with difficulty adapting to routine changes (φ=-0.23; OR=0.34, 95% CI 0.15 to 0.78). The multi-output random forest showed moderate performance. SHAP analysis highlighted auditory sensitivity and multiple seeking behaviours as major contributors. Clustering revealed a 'multi-sensory seeking' subtype with higher rates of tantrums.

Conclusions: SPDs are meaningfully linked to behavioural problems in autism. Vestibular/proprioceptive seeking and auditory sensitivity are key behavioural risk indicators, while visual seeking may support adaptability. Sensory-based profiling has the potential to identify children at elevated behavioural risk and guide personalised intervention planning.

自闭症儿童的感觉处理差异和行为问题:使用统计模型和多输出机器学习的回顾性研究。
背景:感觉处理差异(SPDs)在自闭症儿童中很常见,但它们对行为问题的具体贡献尚未得到充分探讨。研究spd与自闭症儿童行为问题的关系,并确定与行为风险相关的关键感官预测因子和基于感官的亚型。方法:回顾性研究纳入2020 - 2024年在某三级儿童医院接受康复训练的127例1-7岁自闭症儿童。根据父母报告的问卷,将15个SPD特征(包括视觉、听觉、触觉、味觉/嗅觉和前庭/本体感受模式)和6个行为问题编码为二元变量。使用Phi相关和逻辑回归分析关联。采用Shapley加性解释(SHAP)的多输出随机森林对spd的联合预测值进行了评估。使用Jaccard距离的分层聚类来识别感官亚型并比较行为特征。结果:前庭/本体感觉寻找与频繁发脾气呈正相关(φ=0.30),并成为独立预测因子(OR=3.83, 95% CI 1.65至8.90)。视觉寻找与难以适应日常变化呈负相关(φ=-0.23; OR=0.34, 95% CI 0.15至0.78)。多输出随机森林表现出中等的性能。SHAP分析强调了听觉敏感性和多重寻求行为是主要因素。聚类显示,“多感官寻找”亚型的发脾气率更高。结论:spd与自闭症的行为问题有明显的联系。前庭/本体感觉寻找和听觉敏感性是关键的行为风险指标,而视觉寻找可能支持适应性。基于感觉的分析有可能识别行为风险较高的儿童,并指导个性化干预计划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BMJ Paediatrics Open
BMJ Paediatrics Open Medicine-Pediatrics, Perinatology and Child Health
CiteScore
4.10
自引率
3.80%
发文量
124
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