Latent Classes of Typical and Atypical Speech Development in Low-Income Children: A Longitudinal Study From Early Childhood to Adolescence.

Purpose: This study aimed to identify distinct latent classes of speech development by differentiating typical and atypical developmental trajectories from early childhood through adolescence in children from low-income families. It also examined demographic predictors of these latent classes and ex...

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Publicado en:Journal of Speech, Language & Hearing Research Vol. 69; no. 8; pp. 3690 - 3707
Autores principales: Liu, Qingyang, Tumanova, Victoria, Razza, Rachel A.
Formato: Artículo
Publicado: American Speech-Language-Hearing Association Aug2026
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Acceso en línea:Ver este registro en EBSCOhost
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      dt: Aug2026
      vid: 69
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      pub: American Speech-Language-Hearing Association
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        10.1044/2026_JSLHR-25-00319
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        atl: Latent Classes of Typical and Atypical Speech Development in Low-Income Children: A Longitudinal Study From Early Childhood to Adolescence.
      aug:
        au:
          Liu, Qingyang
          Tumanova, Victoria
          Razza, Rachel A.
        affil:
          Department of Psychology, Arizona State University, Tempe
          Department of Communication Sciences & Disorders, Syracuse University, NY
          Department of Human Development and Family Science, Syracuse University, NY
      su:
        United States
        Temperament
        Early intervention (Education)
        Speech disorders
        Language acquisition
        Poverty
        Middle-income countries
        Research funding
        Structural equation modeling
        Descriptive statistics
        Chi-squared test
        Stuttering
        Longitudinal method
        Surveys
        Odds ratio
        Data analysis software
        Low-income countries
      sug:
        subj:
          Temperament
          Early intervention (Education)
          Speech disorders
          Language acquisition
          Poverty
          United States
          Middle-income countries
          Research funding
          Structural equation modeling
          Descriptive statistics
          Chi-squared test
          Stuttering
          Longitudinal method
          Surveys
          Odds ratio
          Data analysis software
          Low-income countries
      ab: Purpose: This study aimed to identify distinct latent classes of speech development by differentiating typical and atypical developmental trajectories from early childhood through adolescence in children from low-income families. It also examined demographic predictors of these latent classes and explored their associations with early infant temperament. Method: We used five waves of longitudinal data from the Future of Families and Child Wellbeing Study, with families from low-income backgrounds below 200% of the federal poverty line (N = 2,802). First, we conducted a longitudinal latent class analysis (LLCA) on six indicators of speech problems and stuttering reported by mothers at 3, 5, 9, and 15 years of age. Second, we examined demographic predictors to distinguish longitudinal latent class membership. Third, we assessed early infant temperament to predict longitudinal latent class membership. Results: LLCA identified three distinct speech development classes: typical speech development (n = 2,383, 85%); speech problem, not stuttering (n = 322, 11.5%); and persistent stuttering (n = 97, 3.5%). Compared to the typical speech development class, boys had a higher likelihood of belonging to the speech problem, not stuttering class or the persistent stuttering class. Children in the speech problem, not stuttering class exhibited greater levels of emotionality than did children in the typical speech development class. Conclusion: Findings highlight the need for early identification and intervention for low-income children at risk of early speech problems and the necessity to adopt comprehensive and multilayer intervention across developmental transition stages.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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