TY - JOUR
T1 - Developmental and behavioral groupings can predict changes in adaptive behavior over time in young children with neurodevelopmental disorders
AU - Rivard, Mélina
AU - Mestari, Zakaria
AU - Coulombe, Patrick
AU - Morin, Diane
AU - Mello, Catherine
AU - Morin, Marjorie
N1 - Funding Information:
This study was funded by grants from the Ministère de la Santé et des Services Sociaux du Québec and the Fondation Marcelle et Jean-Coutu. The Institut universitaire en déficience intellectuelle et en trouble du spectre de l′autisme funded drafting and translation work for this paper. Additional financial support to Mélina Rivard was provided by the Fonds de Recherche du Québec—Santé (research scholar - junior1) and the Fondation Sandra et Alain Bouchard.
Funding Information:
This study was funded by grants from the Ministère de la Santé et des Services Sociaux du Québec and the Fondation Marcelle et Jean-Coutu . The Institut universitaire en déficience intellectuelle et en trouble du spectre de l′autisme funded drafting and translation work for this paper. Additional financial support to Mélina Rivard was provided by the Fonds de Recherche du Québec—Santé (research scholar - junior1) and the Fondation Sandra et Alain Bouchard .
Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2023/1
Y1 - 2023/1
N2 - 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.
AB - 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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U2 - 10.1016/j.ridd.2022.104390
DO - 10.1016/j.ridd.2022.104390
M3 - Article
C2 - 36481713
AN - SCOPUS:85143802770
SN - 0891-4222
VL - 132
JO - Research in Developmental Disabilities
JF - Research in Developmental Disabilities
M1 - 104390
ER -