Department of Psychological Studies, The Hong Kong Institute of Education, Hong Kong, China.
Dyslexia. 2012 Feb;18(1):40-57. doi: 10.1002/dys.1434.
This study sought to examine factors that are predictive of future developmental dyslexia among a group of 5-year-old Chinese children at risk for dyslexia, including 62 children with a sibling who had been previously diagnosed with dyslexia and 52 children who manifested clinical at-risk factors in aspects of language according to testing by paediatricians. The age-5 performances on various literacy and cognitive tasks, gender and group status (familial risk or language delayed) were used to predict developmental dyslexia 2 years later using logistic regression analysis. Results showed that greater risk of dyslexia was related to slower rapid automatized naming, lower scores on morphological awareness, Chinese character recognition and English letter naming, and gender (boys had more risk). Three logistic equations were generated for estimating individual risk of dyslexia. The strongest models were those that included all print-related variables (including speeded number naming, character recognition and letter identification) and gender, with about 70% accuracy or above. Early identification of those Chinese children at risk for dyslexia can facilitate better dyslexia risk management.
本研究旨在探讨一组有阅读障碍风险的 5 岁中国儿童(包括 62 名有兄弟姐妹曾被诊断为阅读障碍的儿童和 52 名在语言方面表现出临床风险因素的儿童)未来发展为阅读障碍的预测因素。使用逻辑回归分析,根据儿童医生的测试,使用 5 岁时在各种读写和认知任务、性别和群体状态(家族风险或语言延迟)上的表现,来预测 2 年后的发展性阅读障碍。结果表明,阅读障碍的风险较高与快速自动命名较慢、形态意识、汉字识别和英语字母命名得分较低以及性别(男孩风险更高)有关。生成了三个用于估计个体阅读障碍风险的逻辑方程。最强的模型是那些包含所有与印刷相关的变量(包括快速数字命名、字符识别和字母识别)和性别,准确率约为 70%或更高。早期识别有阅读障碍风险的中国儿童可以更好地管理阅读障碍风险。