Makbule Esen Öksüzoğlu, Dilek Ünal, Kevser Nalbant, Buket Kiliç, H Berna Devecioğlu, Kemal Saruhan, Beyza Ergül, Yusuf Selman Çelik
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Assessments included the Social Responsiveness Scale (SRS) for autistic traits, the Strengths and Difficulties Questionnaire (SDQ) for emotional-behavioral problems, a teacher-rated SLD Symptom Checklist (SLD-SC), and a clinician-administered cognitive battery (SLD-Battery of Cognitive Skills [SLD-BC]).</p><p><strong>Results: </strong>Controlling for ADHD medication, children with SLD+ADHD had significantly higher SRS scores (<i>p</i> < .001), greater impairments on SLD-SC and SLD-BC, and higher SDQ-impact scores (<i>p</i> = .046). Stepwise regression identified SLD diagnosis, SLD-SC motivation and hyperactivity, SLD-BC head test and motor skills, and SDQ peer problems and hyperactivity as significant predictors of SRS scores, explaining 48.0% of the variance (R<sup>2</sup> = .480, F(7, 142) = 18.703, <i>p</i> < .001).</p><p><strong>Conclusion: </strong>Autistic traits in children with neurodevelopmental comorbidity are closely tied to motivational, executive, and sensorimotor deficits. Findings emphasize the need for integrated cognitive, behavioral, and teacher-reported evaluations to guide targeted interventions in complex developmental profiles.</p>","PeriodicalId":15382,"journal":{"name":"Journal of clinical and experimental neuropsychology","volume":" ","pages":"24-35"},"PeriodicalIF":2.0000,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Autistic traits in children with comorbid Specific Learning Disorder and Attention-Deficit/Hyperactivity Disorder: cognitive, behavioral, and teacher-reported predictors.\",\"authors\":\"Makbule Esen Öksüzoğlu, Dilek Ünal, Kevser Nalbant, Buket Kiliç, H Berna Devecioğlu, Kemal Saruhan, Beyza Ergül, Yusuf Selman Çelik\",\"doi\":\"10.1080/13803395.2025.2592816\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Children with comorbid Specific Learning Disorder (SLD) and Attention-Deficit/Hyperactivity Disorder (ADHD) often show elevated autistic traits, yet contributing cognitive and behavioral factors remain underexplored. This study compared cognitive-behavioral profiles of ADHD-only and SLD+ADHD groups and identified key autistic trait predictors using a multi-informant approach.</p><p><strong>Methods: </strong>The study included 150 children aged 8-12 years, equally divided into ADHD-only and SLD+ADHD groups. Assessments included the Social Responsiveness Scale (SRS) for autistic traits, the Strengths and Difficulties Questionnaire (SDQ) for emotional-behavioral problems, a teacher-rated SLD Symptom Checklist (SLD-SC), and a clinician-administered cognitive battery (SLD-Battery of Cognitive Skills [SLD-BC]).</p><p><strong>Results: </strong>Controlling for ADHD medication, children with SLD+ADHD had significantly higher SRS scores (<i>p</i> < .001), greater impairments on SLD-SC and SLD-BC, and higher SDQ-impact scores (<i>p</i> = .046). Stepwise regression identified SLD diagnosis, SLD-SC motivation and hyperactivity, SLD-BC head test and motor skills, and SDQ peer problems and hyperactivity as significant predictors of SRS scores, explaining 48.0% of the variance (R<sup>2</sup> = .480, F(7, 142) = 18.703, <i>p</i> < .001).</p><p><strong>Conclusion: </strong>Autistic traits in children with neurodevelopmental comorbidity are closely tied to motivational, executive, and sensorimotor deficits. 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引用次数: 0
摘要
背景:患有特殊学习障碍(SLD)和注意缺陷多动障碍(ADHD)的儿童通常表现出较高的自闭症特征,但认知和行为因素仍未得到充分研究。本研究比较了ADHD组和SLD+ADHD组的认知行为特征,并使用多信息来源方法确定了关键的自闭症特征预测因子。方法:选取8 ~ 12岁儿童150例,平均分为单纯ADHD组和SLD+ADHD组。评估包括自闭症特征的社会反应量表(SRS),情绪行为问题的优势和困难问卷(SDQ),教师评定的自闭症症状检查表(SLD- sc)和临床医生管理的认知技能测试(SLD- battery of cognitive Skills [SLD- bc])。结果:控制ADHD药物治疗后,SLD+ADHD患儿的SRS评分显著高于对照组(p p = 0.046)。逐步回归发现SLD诊断、SLD- sc动机和多动、SLD- bc头部测试和运动技能、SDQ同伴问题和多动是SRS评分的显著预测因子,解释了48.0%的方差(R2 =)。结论:患有神经发育共病儿童的自闭症特征与动机、执行和感觉运动缺陷密切相关。研究结果强调需要综合认知、行为和教师报告的评估,以指导复杂发展概况的有针对性的干预措施。
Autistic traits in children with comorbid Specific Learning Disorder and Attention-Deficit/Hyperactivity Disorder: cognitive, behavioral, and teacher-reported predictors.
Background: Children with comorbid Specific Learning Disorder (SLD) and Attention-Deficit/Hyperactivity Disorder (ADHD) often show elevated autistic traits, yet contributing cognitive and behavioral factors remain underexplored. This study compared cognitive-behavioral profiles of ADHD-only and SLD+ADHD groups and identified key autistic trait predictors using a multi-informant approach.
Methods: The study included 150 children aged 8-12 years, equally divided into ADHD-only and SLD+ADHD groups. Assessments included the Social Responsiveness Scale (SRS) for autistic traits, the Strengths and Difficulties Questionnaire (SDQ) for emotional-behavioral problems, a teacher-rated SLD Symptom Checklist (SLD-SC), and a clinician-administered cognitive battery (SLD-Battery of Cognitive Skills [SLD-BC]).
Results: Controlling for ADHD medication, children with SLD+ADHD had significantly higher SRS scores (p < .001), greater impairments on SLD-SC and SLD-BC, and higher SDQ-impact scores (p = .046). Stepwise regression identified SLD diagnosis, SLD-SC motivation and hyperactivity, SLD-BC head test and motor skills, and SDQ peer problems and hyperactivity as significant predictors of SRS scores, explaining 48.0% of the variance (R2 = .480, F(7, 142) = 18.703, p < .001).
Conclusion: Autistic traits in children with neurodevelopmental comorbidity are closely tied to motivational, executive, and sensorimotor deficits. Findings emphasize the need for integrated cognitive, behavioral, and teacher-reported evaluations to guide targeted interventions in complex developmental profiles.
期刊介绍:
Journal of Clinical and Experimental Neuropsychology ( JCEN) publishes research on the neuropsychological consequences of brain disease, disorders, and dysfunction, and aims to promote the integration of theories, methods, and research findings in clinical and experimental neuropsychology. The primary emphasis of JCEN is to publish original empirical research pertaining to brain-behavior relationships and neuropsychological manifestations of brain disease. Theoretical and methodological papers, critical reviews of content areas, and theoretically-relevant case studies are also welcome.