Factor analysis of signs of childhood apraxia of speech

Factor analysis of signs of childhood apraxia of speech
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DOI:
10.1016/j.jcomdis.2020.106033
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发表时间:
2020-09-01
影响因子:
1.7
通讯作者:
Green, Jordan R.
Green, Jordan R.
中科院分区:
医学3区
文献类型:
--
作者:
Chenausky, Karen, V;Brignell, Amanda;Green, Jordan R.

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目的:探讨57例儿童言语失用症(CAS)的潜在因素。方法:对57例3岁、5 ~ 17岁、0岁的CAS患儿的言语进行编码。所有参与者都表现出至少五种CAS症状,并由经验丰富的儿童语言障碍语言病理学家判断为患有CAS。参与者被选择代表一系列严重程度的CAS: 30名儿童是语言和27名最低语言共病自闭症。参与者对每个符号的得分(该符号在儿童语音样本中出现的次数)被转换为z分数,然后作为变量输入探索性因素分析。采用赤池信息准则(Akaike Information Criterion, AIC)对模型进行比较。结果:三因素模型的AIC最低,拟合效果最好。在倾斜旋转之后,音节分割、慢速和重音错误对因子1的负荷最大。摸索,除弱读音以外的其他音素的增加,以及协同发音的困难对因素2的影响最大。变量错误在因子3上的负载最高。因此,这些因素被解释为与(1)韵律、(2)协同发音和(3)不一致有关。结论:结果符合美国言语语言听力协会对CAS的三个共识标准:韵律不恰当,协同发音过渡中断,重复标记错误不一致。音节分词符号在不恰当韵律因子上的高负载也支持了暂停相关生物标记在CAS中的使用。
Purpose: To investigate the latent factors underlying signs of childhood apraxia of speech (CAS) in a group of 57 children with CAS.Method: The speech of 57 children with CAS (aged 3;5-17;0) was coded for signs of CAS. All participants showed at least five signs of CAS and were judged to have CAS by speech pathologists experienced in pediatric speech disorders. Participants were selected to represent a range of severity of CAS: 30 children were verbal and 27 were minimally verbal with comorbid autism. Participants' scores for each sign (the number of times that sign appeared during a child's speech sample) were converted to z-scores, then entered as variables into an exploratory factor analysis. Models were compared using the Akaike Information Criterion (AIC).Results: The three-factor model had the lowest AIC and best fit the data. After oblique rotation, syllable segmentation, slow rate, and stress errors loaded most highly on Factor 1. Groping, addition of phonemes other than schwa, and difficulty with coarticulation loaded most highly on Factor 2. Variable errors loaded most highly on Factor 3. Thus, factors were interpreted as being associated with (1) prosody, (2) coarticulation, and (3) inconsistency.Conclusions: Results are consistent with the three consensus criteria for CAS from the American Speech-Language-Hearing Association: Inappropriate prosody, disrupted coarticulatory transitions, and inconsistent errors on repeated tokens. High loading of the syllable segmentation sign on the inappropriate prosody factor also supports the use of a pause-related biomarker for CAS.