Suppr超能文献

理解不同工具中“极轻微语”的定义:自闭症谱系障碍极轻微言语儿童和青少年亚组的证据。

Understanding definitions of minimally verbal across instruments: evidence for subgroups within minimally verbal children and adolescents with autism spectrum disorder.

机构信息

University of California San Francisco Department of Psychiatry, San Francisco, CA, USA.

STAR Center for ASD & NDD, University of California San Francisco, San Francisco, CA, USA.

出版信息

J Child Psychol Psychiatry. 2016 Dec;57(12):1424-1433. doi: 10.1111/jcpp.12609. Epub 2016 Jul 30.

Abstract

BACKGROUND

Minimally verbal (MV) children with autism spectrum disorder (ASD) are often assumed to be profoundly cognitively impaired and excluded from analyses due to challenges completing standardized testing protocols. A literature aimed at increasing understanding of this subgroup is emerging; however, the many methods used to define MV status make it difficult to compare studies. Understanding how different instruments and definitions used to identify MV children affect sample composition is critical to advance research on this understudied clinical population.

METHOD

The MV status of 1,470 school-aged children was defined using five instruments commonly used in ASD research. MV sample composition was compared across instruments. Analyses examined the proportion of overlap across MV subgroups and the extent to which child characteristics varied across MV subgroups defined using different definitions or combinations of measures.

RESULTS

A total of 257 children were classified as MV on at least one instrument. Proportion of overlap between definitions ranged from 3% to 100%. The stringency of definition (i.e. few-to-no vs. some words) was associated with differences in cognitive and adaptive functioning; more stringent definitions yielded greater consistency of MV status across instruments. Cognitive abilities ranged from profoundly impaired to average intelligence; 16% had NVIQ ≥ 70. Approximately half exhibited verbal skills commensurate with nonverbal cognitive ability, whereas half had verbal abilities significantly lower than their estimated NVIQ.

CONCLUSIONS

Future studies of MV children must carefully consider the methods used to identify their sample, acknowledging that definitions including children with 'some words' may yield larger samples with a wider range of language and cognitive abilities. Broadly defined MV samples may be particularly important to delineate factors interfering with language development in the subgroup of children whose expressive impairments are considerably below their estimated nonverbal cognitive abilities.

摘要

背景

患有自闭症谱系障碍(ASD)的语言能力极低(MV)的儿童通常被认为是认知严重受损的,并由于难以完成标准化测试协议而被排除在分析之外。旨在增加对这一亚组理解的文献正在出现;然而,用于定义 MV 状态的许多方法使得很难比较研究。了解用于识别 MV 儿童的不同工具和定义如何影响样本组成,对于推进对这一研究不足的临床人群的研究至关重要。

方法

使用 ASD 研究中常用的五种工具定义了 1470 名学龄儿童的 MV 状态。比较了不同工具的 MV 样本组成。分析检查了 MV 亚组之间的重叠比例,以及使用不同定义或测量组合定义的 MV 亚组中儿童特征的变化程度。

结果

共有 257 名儿童至少在一种工具上被归类为 MV。定义之间的重叠比例从 3%到 100%不等。定义的严格程度(即几乎没有或没有单词与有些单词)与认知和适应功能的差异有关;更严格的定义使 MV 状态在不同工具之间更一致。认知能力从严重受损到平均智力不等;16%的非言语智商(NVIQ)≥70。大约一半的儿童表现出与非言语认知能力相当的言语技能,而另一半的儿童言语能力明显低于他们的估计 NVIQ。

结论

未来对 MV 儿童的研究必须仔细考虑用于识别其样本的方法,承认包括“有些单词”的儿童的定义可能会产生更大的样本,具有更广泛的语言和认知能力范围。广泛定义的 MV 样本对于描绘在表达障碍明显低于其估计的非言语认知能力的儿童亚组中干扰语言发展的因素可能特别重要。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验