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      Predicting Which Children Will Normalize Without Intervention for Speech Sound Disorders

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          Abstract

          Purpose:

          The speech of some children does not follow a typical normalization trajectory, and they develop speech sound disorders (SSD). This study investigated predictive correlates of speech sound normalization in children who were at risk of SSD.

          Method:

          A prospective population cohort study of 845 Cantonese-speaking preschoolers was conducted over 2.5 years to examine (a) children who resolved nonadult realizations of consonants (normalized) and (b) those who had persisting speech sound difficulties (did not normalize). From these 845, a sample of 82 participants characterized as having SSD (1.25 SD s below the mean in a standardized speech assessment, with a delay in initial consonant acquisition or with one or more atypical errors) was followed for 2 years at 6-month intervals or until the completion of their initial consonant inventory. Data from 43 children who did not receive speech-language pathology services were analyzed with survival analysis to model time to normalization while controlling for covariates. The target event (outcome) was the completion of their initial consonant inventory.

          Results:

          Under the no-intervention condition, the estimated median time to normalization was 6.59 years of age. Children who were more likely to normalize or normalized in a shorter time were stimulable to all errors and more intelligible as rated by caregivers using the Intelligibility in Context Scale. Those who showed atypical error patterns did not necessarily take longer to normalize. Similarly, expressive language ability was not significantly associated with speech normalization.

          Conclusions:

          Stimulability and intelligibility were more useful prognostic factors of speech normalization when compared to (a)typicality of error patterns and expressive language ability. Children with low intelligibility and poor stimulability should be prioritized for speech-language pathology services given that their speech errors are less likely to resolve naturally.

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          Most cited references101

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          Nonparametric Estimation from Incomplete Observations

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            Gender differences in verbal ability: A meta-analysis.

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              Prevalence and natural history of primary speech and language delay: findings from a systematic review of the literature

              The prevalence and the natural history of primary speech and language delays were two of four domains covered in a systematic review of the literature related to screening for speech and language delay carried out for the NHS in the UK. The structure and process of the full literature review is introduced and criteria for inclusion in the two domains are specified. The resulting data set gave 16 prevalence estimates generated from 21 publications and 12 natural history studies generated from 18 publications. Results are summarized for six subdivisions of primary speech and language delays: (1) speech and/or language, (2) language only, (3) speech only, (4) expression with comprehension, (5) expression only and (6) comprehension only. Combination of the data suggests that both concurrent and predictive case definition can be problematic. Prediction improves if language is taken independently of speech and if expressive and receptive language are taken together. The results are discussed in terms of the need to develop a model of prevalence based on risk of subsequent difficulties.
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                Author and article information

                Contributors
                (View ORCID Profile)
                (View ORCID Profile)
                Journal
                Journal of Speech, Language, and Hearing Research
                J Speech Lang Hear Res
                American Speech Language Hearing Association
                1092-4388
                1558-9102
                April 05 2022
                : 1-18
                Affiliations
                [1 ]The University of Hong Kong, Hong Kong SAR, China
                [2 ]Charles Sturt University, Bathurst, New South Wales, Australia
                [3 ]The Chinese University of Hong Kong, Hong Kong SAR, China
                Article
                10.1044/2022_JSLHR-21-00444
                35381182
                3bd2b958-7c15-44e6-9571-59571c3544be
                © 2022
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