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首页> 外文期刊>child care health and development >Associations between maternal responsive linguistic input and child language performance at age 4 in a community-based sample of slow-to-talk toddlers
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Associations between maternal responsive linguistic input and child language performance at age 4 in a community-based sample of slow-to-talk toddlers

机译:Associations between maternal responsive linguistic input and child language performance at age 4 in a community-based sample of slow-to-talk toddlers

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BackgroundIn a community sample of slow-to-talk toddlers, we aimed to (a) quantify how well maternal responsive behaviors at age 2years predict language ability at age 4 and (b) examine whether maternal responsive behaviors more accurately predict low language status at age 4 than does expressive vocabulary measured at age 2years. Design or MethodsProspective community-based longitudinal study. At child age 18months, 1,138 parents completed a 100-word expressive vocabulary checklist within a population survey; 251 (22.1) children scored 20th percentile and were eligible for the current study. Potential predictors at 2years were (a) responsive language behaviors derived from videotaped parent-child free-play samples and (b) late-talker status. Outcomes were (a) Clinical Evaluation of Language FundamentalsPreschool Second Edition receptive and expressive language standard score at 4years and (b) low language status (standard score>1.25 standard deviations below the mean on expressive or receptive language). ResultsTwo hundred eight (82.9 of 251) participants were retained to age 4. In adjusted linear regression analyses, maternal expansions predicted higher receptive (p<0.001, partial R-2=6.5) and expressive (p<0.001, partial R-2=7.7), whereas labels predicted lower receptive (p=0.01, partial R-2=2.8) and expressive (p=0.007, partial R-2=3.5) language scores at 4. The logistic regression model containing only responsive behaviors achieved fair predictive ability of low language status at age 4 (area under curve AUC=0.79), slightly better than the model containing only late-talker status (AUC=0.74). This improved to good predictive ability with inclusion of other known risk factors (AUC=0.82). ConclusionA combination of short measures of different dimensions, such as parent responsive behaviors, in addition to a child's earlier language skills increases the ability to predict language outcomes at age 4 to a precision that is approaching clinical value. Research to further enhance predictive values should be a priority, enabling health professionals to identify which slow-to-talk toddlers most likely will or will not experience later poorer language.

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