Profiles of multi-informant ratings of depressive symptoms in children with ADHD symptomology

Daniel R. Cohen; Keith C. Herman; Melissa Stormont; Wendy M. Reinke; Rick Ostrander

doi:10.1016/j.appdev.2023.101531

Profiles of multi-informant ratings of depressive symptoms in children with ADHD symptomology

Daniel R. Cohen, Keith C. Herman, Melissa Stormont, Wendy M. Reinke, Rick Ostrander

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

Abstract

The present study examined the latent profiles of child, parent, and teacher ratings of child depression symptoms in a sample of children with ADHD Symptomology. The study attempted to identify patterns of agreement and discrepancies among raters and correlates of these patterns. Five classes best described the ratings: No Depression, Parent/Child Moderate Depression, Severe Depression, Teacher/Parent Moderate Depression, and Mixed Severe Depression. Predictors of class membership including social functioning and maternal depression confirmed the distinctiveness of classes. Latent profiles of ratings of depression ratings were also generated for a sample without ADHD symptoms as a basis for comparison. Implications for identifying and intervening on depression symptoms in children with ADHD are discussed.

Original language	English (US)
Article number	101531
Journal	Journal of Applied Developmental Psychology
Volume	86
DOIs	https://doi.org/10.1016/j.appdev.2023.101531
State	Published - May 1 2023
Externally published	Yes

Keywords

ADHD
Child assessment
Depression
Informant discrepancies

ASJC Scopus subject areas

Developmental and Educational Psychology

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10.1016/j.appdev.2023.101531

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title = "Profiles of multi-informant ratings of depressive symptoms in children with ADHD symptomology",

abstract = "The present study examined the latent profiles of child, parent, and teacher ratings of child depression symptoms in a sample of children with ADHD Symptomology. The study attempted to identify patterns of agreement and discrepancies among raters and correlates of these patterns. Five classes best described the ratings: No Depression, Parent/Child Moderate Depression, Severe Depression, Teacher/Parent Moderate Depression, and Mixed Severe Depression. Predictors of class membership including social functioning and maternal depression confirmed the distinctiveness of classes. Latent profiles of ratings of depression ratings were also generated for a sample without ADHD symptoms as a basis for comparison. Implications for identifying and intervening on depression symptoms in children with ADHD are discussed.",

keywords = "ADHD, Child assessment, Depression, Informant discrepancies",

author = "Cohen, {Daniel R.} and Herman, {Keith C.} and Melissa Stormont and Reinke, {Wendy M.} and Rick Ostrander",

note = "Funding Information: ☆ This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. Publisher Copyright: {\textcopyright} 2023",

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doi = "10.1016/j.appdev.2023.101531",

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AU - Cohen, Daniel R.

AU - Herman, Keith C.

AU - Stormont, Melissa

AU - Reinke, Wendy M.

AU - Ostrander, Rick

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AB - The present study examined the latent profiles of child, parent, and teacher ratings of child depression symptoms in a sample of children with ADHD Symptomology. The study attempted to identify patterns of agreement and discrepancies among raters and correlates of these patterns. Five classes best described the ratings: No Depression, Parent/Child Moderate Depression, Severe Depression, Teacher/Parent Moderate Depression, and Mixed Severe Depression. Predictors of class membership including social functioning and maternal depression confirmed the distinctiveness of classes. Latent profiles of ratings of depression ratings were also generated for a sample without ADHD symptoms as a basis for comparison. Implications for identifying and intervening on depression symptoms in children with ADHD are discussed.

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Profiles of multi-informant ratings of depressive symptoms in children with ADHD symptomology

Abstract

Keywords

ASJC Scopus subject areas

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