Developmental and behavioral groupings can predict changes in adaptive behavior over time in young children with neurodevelopmental disorders

The heterogeneity within, and the overlap between, diagnostic categories for neurodevelopmental disorders (NDDs) remain poorly understood. Developmental trajectories may diverge among children with the same diagnosis, who may also respond very differently to treatment. In a previous study, we used statistical clustering methods in a sample of 194 preschoolers who were referred for NDD assessment. We identified three distinct subgroups based on multiple developmental and behavioral variables. The present study aimed to identify: (1) early developmental markers at the surveillance and screening period that are predictive of subgroup membership at the diagnostic period (i.e., around age 5), (2) associations between subgroups and the evolution of adaptive behavior over the course of two years, and (3) predictors of adaptive behavior change. Subgroup membership was the only significant predictor of adaptive behavior change over time, which suggests that a clustering method based on developmental and behavioral profiles may be useful in treatment planning.

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Work Title Developmental and behavioral groupings can predict changes in adaptive behavior over time in young children with neurodevelopmental disorders
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Open Access
Creators
  1. Mélina Rivard
  2. Zakaria Mestari
  3. Patrick Coulombe
  4. Diane Morin
  5. Catherine Mello
  6. Marjorie Morin
Keyword
  1. Autism
  2. Intellectual disability
  3. Neurodevelopmental disability
  4. Adaptive behavior
  5. Clinical subgroups
  6. Early markers
License CC BY-NC-ND 4.0 (Attribution-NonCommercial-NoDerivatives)
Work Type Article
Publisher
  1. Research in Developmental Disabilities
Publication Date January 1, 2023
Publisher Identifier (DOI)
  1. https://doi.org/10.1016/j.ridd.2022.104390
Deposited February 17, 2023

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  • Created

    February 17, 2023 15:38 by Researcher Metadata Database

  • Added Rivard_Cluster2_Accepted.pdf

    February 17, 2023 15:38 by Researcher Metadata Database

  • Added Creator Mélina Rivard

    February 17, 2023 15:38 by Researcher Metadata Database

  • Added Creator Zakaria Mestari

    February 17, 2023 15:38 by Researcher Metadata Database

  • Added Creator Patrick Coulombe

    February 17, 2023 15:38 by Researcher Metadata Database

  • Added Creator Diane Morin

    February 17, 2023 15:38 by Researcher Metadata Database

  • Added Creator Catherine Mello

    February 17, 2023 15:38 by Researcher Metadata Database

  • Added Creator Marjorie Morin

    February 17, 2023 15:38 by Researcher Metadata Database

  • Published

    February 17, 2023 15:38 by Researcher Metadata Database

  • Updated Keyword, Description Show Changes

    May 02, 2023 16:25 by pmk5516

    Keyword
    • Autism, Intellectual disability, Neurodevelopmental disability, Adaptive behavior, Clinical subgroups, Early markers
    Description
    • <p>The heterogeneity within, and the overlap between, diagnostic categories for neurodevelopmental disorders (NDDs) remain poorly understood. Developmental trajectories may diverge among children with the same diagnosis, who may also respond very differently to treatment. In a previous study, we used statistical clustering methods in a sample of 194 preschoolers who were referred for NDD assessment. We identified three distinct subgroups based on multiple developmental and behavioral variables. The present study aimed to identify: (1) early developmental markers at the surveillance and screening period that are predictive of subgroup membership at the diagnostic period (i.e., around age 5), (2) associations between subgroups and the evolution of adaptive behavior over the course of two years, and (3) predictors of adaptive behavior change. Subgroup membership was the only significant predictor of adaptive behavior change over time, which suggests that a clustering method based on developmental and behavioral profiles may be useful in treatment planning.</p>
    • The heterogeneity within, and the overlap between, diagnostic categories for neurodevelopmental disorders (NDDs) remain poorly understood. Developmental trajectories may diverge among children with the same diagnosis, who may also respond very differently to treatment. In a previous study, we used statistical clustering methods in a sample of 194 preschoolers who were referred for NDD assessment. We identified three distinct subgroups based on multiple developmental and behavioral variables. The present study aimed to identify: (1) early developmental markers at the surveillance and screening period that are predictive of subgroup membership at the diagnostic period (i.e., around age 5), (2) associations between subgroups and the evolution of adaptive behavior over the course of two years, and (3) predictors of adaptive behavior change. Subgroup membership was the only significant predictor of adaptive behavior change over time, which suggests that a clustering method based on developmental and behavioral profiles may be useful in treatment planning.
  • Updated Work Title Show Changes

    May 02, 2023 16:25 by pmk5516

    Work Title
    • Developmental and behavioral groupings can predict changes in adaptive behavior over time in young children with neurodevelopmental disorders
    • ! Developmental and behavioral groupings can predict changes in adaptive behavior over time in young children with neurodevelopmental disorders
  • Updated Work Title Show Changes

    May 24, 2023 10:35 by pmk5516

    Work Title
    • ! Developmental and behavioral groupings can predict changes in adaptive behavior over time in young children with neurodevelopmental disorders
    • Developmental and behavioral groupings can predict changes in adaptive behavior over time in young children with neurodevelopmental disorders
  • Updated

    April 04, 2024 10:22 by [unknown user]