Fernández-Cobos Raúl, Polo-Blanco Irene, Castroviejo Elena, Juncal-Ruiz Maria, Vicente Agustín
Department of Mathematics, Statistics and Computer Science, Universidad de Cantabria, Avda. de los Castros 48, Santander, 39005, Spain.
Department of Linguistics and Basque Studies, Universidad del País Vasco (UPV/EHU), Paseo de la Universidad 5, Vitoria-Gasteiz, 01006, Spain.
J Autism Dev Disord. 2025 Jan 31. doi: 10.1007/s10803-025-06726-x.
This study aimed to examine early mathematical abilities in young children with autism aged four to seven without intellectual disabilities and their connection with autism severity, non-verbal intelligence, and linguistic abilities (receptive vocabulary and grammar). The study involved 42 children with autism. We assessed participants' cognitive, mathematical, and linguistic abilities. Their mathematical performance was compared with that of typically developing children using standardized measures. Statistical analyses were conducted to identify potential cognitive or linguistic differences across groups based on mathematical performance, and to determine predictive factors for mathematical abilities in children with autism. The findings indicated a higher prevalence of mathematical difficulties among the participants compared to typically developing children. A classification based on mathematical performance revealed statistically significant differences in cognitive and linguistic variables across groups, particularly in the low-performance group. However, no significant differences were found according to autism severity between the groups. The analysis further identified that a combination of visuo-spatial and linguistic abilities was the most predictive factor for mathematical performance. The study suggests that young children with autism without intellectual disabilities may be more likely to experience mathematical difficulties compared to typically developing children. Assessing cognitive and linguistic abilities could serve as a predictive measure for mathematical difficulties of children with autism, even without a formal diagnosis. Future research, with larger samples or longitudinal approaches, could validate these findings or explore which specific mathematical abilities are more related to non-verbal intelligence and which ones to structural language.
本研究旨在考察4至7岁无智力障碍的自闭症幼儿的早期数学能力,以及这些能力与自闭症严重程度、非言语智力和语言能力(接受性词汇和语法)之间的联系。该研究纳入了42名自闭症儿童。我们评估了参与者的认知、数学和语言能力。使用标准化测量方法将他们的数学表现与正常发育儿童进行比较。进行统计分析以确定基于数学表现的不同组间潜在的认知或语言差异,并确定自闭症儿童数学能力的预测因素。研究结果表明,与正常发育儿童相比,参与者中数学困难的发生率更高。基于数学表现的分类显示,不同组间在认知和语言变量上存在统计学显著差异,尤其是在低表现组。然而,各组间根据自闭症严重程度未发现显著差异。分析进一步确定,视觉空间能力和语言能力的组合是数学表现的最具预测性的因素。该研究表明,与正常发育儿童相比,无智力障碍的自闭症幼儿可能更易出现数学困难。评估认知和语言能力可作为自闭症儿童数学困难的预测指标,即使未进行正式诊断。未来采用更大样本或纵向研究方法的研究,可验证这些发现,或探索哪些特定的数学能力与非言语智力更相关,哪些与结构化语言更相关。