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在一个低收入纵向样本中研究晚说话儿童的早期词汇增长轨迹。

Examining Early Vocabulary Growth Trajectories in Late Talkers in a Low-Income Longitudinal Sample.

作者信息

Singletary Britt, Jiang Hui, Wilberforce Winifred Graham, Avelar Daniela, Strother-Garcia Kristina, Justice Laura M

机构信息

Crane Center for Early Childhood Research & Policy, The Ohio State University, Columbus, Ohio, USA.

出版信息

Infancy. 2025 Jul-Aug;30(4):e70036. doi: 10.1111/infa.70036.

DOI:10.1111/infa.70036
PMID:40776433
Abstract

Studies show children in low-income households have heightened risk of developing as late talkers (LTs). Scholars have attributed the cause of these differences to variability in child-directed and observed language input, parenting quality, attendance at childcare facilities, or some combination therein, as briefly reviewed. However, this study focuses on a sample entirely of families experiencing low income to explore differences within this group. This study explores growth trajectories for child vocabulary production from age 8-30 months in a racially-diverse low-income longitudinal sample in the U.S. (n = 199). Using multi-level multiple group models, we explore differences in growth trajectories for LTs and non-LT peers (identified: age 22-30 months) and identify the age at which vocabulary sizes begin to significantly differ, controlling for the effects of child age-at-test, sex, primary home language, and mother's education. Results show distinctly different trajectories, such that: (1) LTs experience relatively flat growth resulting in significantly smaller vocabulary sizes over time and (2) divergence occurs at ∼11 months. Future research is needed to fully understand how and why LT trajectories begin to differ so significantly at this age, and how we can better intervene earlier to reduce the likelihood of LT.

摘要

研究表明,低收入家庭的儿童发展为晚说话者(LTs)的风险更高。学者们已将这些差异的原因归结为儿童主导和观察到的语言输入、养育质量、在儿童保育机构的出勤率或其中的某种组合差异,简要回顾如下。然而,本研究关注的样本完全是低收入家庭,以探究该群体内部的差异。本研究在美国一个种族多样的低收入纵向样本(n = 199)中,探索了8至30个月大儿童词汇产出的增长轨迹。使用多层次多组模型,我们探究了晚说话者与非晚说话者同龄人(确定年龄为22至30个月)的增长轨迹差异,并确定了词汇量开始出现显著差异的年龄,同时控制了儿童测试时的年龄、性别、主要家庭语言和母亲教育程度的影响。结果显示出明显不同的轨迹,即:(1)晚说话者经历相对平稳的增长,随着时间推移词汇量显著较小;(2)差异在大约11个月时出现。需要未来的研究来充分理解晚说话者轨迹在这个年龄开始出现如此显著差异的方式和原因,以及我们如何能够更好地在早期进行干预以降低成为晚说话者的可能性。

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本文引用的文献

1
The Impact of Diverse Parameters for Late Talker Identification in a Low-Socioeconomic Status Sample.低社会经济地位样本中多种参数对语言发育迟缓儿童识别的影响
J Speech Lang Hear Res. 2025 May 8;68(5):2453-2467. doi: 10.1044/2025_JSLHR-24-00637. Epub 2025 Apr 23.
2
Profiles of Family Stressors Among Low-Income Families with Young Children.有幼儿的低收入家庭中的家庭压力源概况
Matern Child Health J. 2025 Apr;29(4):483-493. doi: 10.1007/s10995-025-04061-2. Epub 2025 Feb 25.
3
Are Late Talkers Just Late? Neighborhood Density and Word Frequency Properties of Late Talkers' Spoken Vocabularies.
晚说话者只是晚说话吗?晚说话者口语词汇的邻里密度和词频特征。
J Speech Lang Hear Res. 2024 Oct 8;67(10):3794-3802. doi: 10.1044/2024_JSLHR-23-00769. Epub 2024 Sep 20.
4
Language learning in the context of a global pandemic: proximal and distal factors matter.全球大流行背景下的语言学习:近端因素和远端因素都很重要。
Pediatr Res. 2024 Sep 18. doi: 10.1038/s41390-024-03583-9.
5
Lexical skills and gesture use: A comparison between expressive and receptive/expressive late talkers.词汇技能和手势使用:表达型和接受/表达型晚说话者的比较。
Res Dev Disabil. 2024 May;148:104711. doi: 10.1016/j.ridd.2024.104711. Epub 2024 Mar 22.
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Risk factors for early language delay in children within a minority ethnic, bilingual, deprived environment (Born in Bradford's Better Start): a UK community birth cohort study.少数民族、双语、贫困环境下儿童早期语言发育迟缓的风险因素(出生在布拉德福德的更好开端):英国社区出生队列研究。
BMJ Paediatr Open. 2023 Mar;7(1). doi: 10.1136/bmjpo-2022-001764.
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Late bloomer or language disorder? Differences in toddler vocabulary composition associated with long-term language outcomes.晚熟还是语言障碍?与长期语言结果相关的幼儿词汇构成差异。
Dev Sci. 2023 Jul;26(4):e13342. doi: 10.1111/desc.13342. Epub 2022 Nov 17.
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Lang Learn Dev. 2022;18(3):352-376. doi: 10.1080/15475441.2021.1977645. Epub 2021 Oct 4.
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Brain Sci. 2021 May 17;11(5):654. doi: 10.3390/brainsci11050654.
10
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Child Dev. 2021 Mar;92(2):484-501. doi: 10.1111/cdev.13508. Epub 2021 Jan 31.