Profiles of Caregiver-Reported Executive Function in Children with Down Syndrome

Kaylyn Van Deusen; Mark A. Prince; Anna J. Esbensen; Jamie O. Edgin; Emily K. Schworer; Angela John Thurman; Lina R. Patel; Lisa A. Daunhauer; Deborah J. Fidler

doi:10.3390/brainsci12101333

Profiles of Caregiver-Reported Executive Function in Children with Down Syndrome

Kaylyn Van Deusen, Mark A. Prince, Anna J. Esbensen, Jamie O. Edgin, Emily K. Schworer, Angela John Thurman, Lina R. Patel, Lisa A. Daunhauer, Deborah J. Fidler

Research output: Contribution to journal › Article › peer-review

Abstract

Children with Down syndrome (DS) are at risk for challenges with aspects of executive function (EF). The current study explores whether heterogeneity in EF profiles can be detected within a sample of children with DS. Participants were 69 children with DS, ages 3–10 years (M = 6.23, SD = 1.91). T-scores from a caregiver-report measure of executive function were modeled using latent profile analysis, and auxiliary analyses examined the association between demographic and biomedical factors and probability of profile membership. The two-profile solution was the best fit for the sample, with a profile that involved elevated scores in working memory only (“Working Memory Only” profile; 43% of sample) and a “Multi-Domain” profile that involved elevated scores in planning, inhibition, and working memory (57%). The presence of congenital heart defects was associated with a higher probability of assignment to the Multi-Domain profile. Findings from this study contribute to the characterization of heterogeneous outcomes associated with DS.

Original language	English (US)
Article number	1333
Journal	Brain Sciences
Volume	12
Issue number	10
DOIs	https://doi.org/10.3390/brainsci12101333
State	Published - Oct 2022

Keywords

Down syndrome
executive function
latent profile analysis

ASJC Scopus subject areas

Neuroscience(all)

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10.3390/brainsci12101333

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title = "Profiles of Caregiver-Reported Executive Function in Children with Down Syndrome",

abstract = "Children with Down syndrome (DS) are at risk for challenges with aspects of executive function (EF). The current study explores whether heterogeneity in EF profiles can be detected within a sample of children with DS. Participants were 69 children with DS, ages 3–10 years (M = 6.23, SD = 1.91). T-scores from a caregiver-report measure of executive function were modeled using latent profile analysis, and auxiliary analyses examined the association between demographic and biomedical factors and probability of profile membership. The two-profile solution was the best fit for the sample, with a profile that involved elevated scores in working memory only (“Working Memory Only” profile; 43% of sample) and a “Multi-Domain” profile that involved elevated scores in planning, inhibition, and working memory (57%). The presence of congenital heart defects was associated with a higher probability of assignment to the Multi-Domain profile. Findings from this study contribute to the characterization of heterogeneous outcomes associated with DS.",

keywords = "Down syndrome, executive function, latent profile analysis",

author = "{Van Deusen}, Kaylyn and Prince, {Mark A.} and Esbensen, {Anna J.} and Edgin, {Jamie O.} and Schworer, {Emily K.} and Thurman, {Angela John} and Patel, {Lina R.} and Daunhauer, {Lisa A.} and Fidler, {Deborah J.}",

note = "Funding Information: Research reported in this article was supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development of the National Institutes of Health under award numbers R01HD099150-0, R01HD099150-03S1, R21 HD101000-01, R01HD088409, P50HD103526, and 1R01HD093754. This publication was also supported by NIH/NCATS Colorado CTSA Grant Number UL1 TR002535. Its contents are the authors{\textquoteright} sole responsibility and do not necessarily represent official NIH views. Publisher Copyright: {\textcopyright} 2022 by the authors.",

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language = "English (US)",

volume = "12",

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AU - Thurman, Angela John

AU - Patel, Lina R.

AU - Daunhauer, Lisa A.

AU - Fidler, Deborah J.

N1 - Funding Information: Research reported in this article was supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development of the National Institutes of Health under award numbers R01HD099150-0, R01HD099150-03S1, R21 HD101000-01, R01HD088409, P50HD103526, and 1R01HD093754. This publication was also supported by NIH/NCATS Colorado CTSA Grant Number UL1 TR002535. Its contents are the authors’ sole responsibility and do not necessarily represent official NIH views. Publisher Copyright: © 2022 by the authors.

PY - 2022/10

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N2 - Children with Down syndrome (DS) are at risk for challenges with aspects of executive function (EF). The current study explores whether heterogeneity in EF profiles can be detected within a sample of children with DS. Participants were 69 children with DS, ages 3–10 years (M = 6.23, SD = 1.91). T-scores from a caregiver-report measure of executive function were modeled using latent profile analysis, and auxiliary analyses examined the association between demographic and biomedical factors and probability of profile membership. The two-profile solution was the best fit for the sample, with a profile that involved elevated scores in working memory only (“Working Memory Only” profile; 43% of sample) and a “Multi-Domain” profile that involved elevated scores in planning, inhibition, and working memory (57%). The presence of congenital heart defects was associated with a higher probability of assignment to the Multi-Domain profile. Findings from this study contribute to the characterization of heterogeneous outcomes associated with DS.

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Profiles of Caregiver-Reported Executive Function in Children with Down Syndrome

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