Cross-Informant Compatibility of Depression Symptoms in Children: A Network Approach

Ayse Seneldir; Umit Akirmak; Sibel Halfon

doi:10.1007/s10578-022-01403-x

Cross-Informant Compatibility of Depression Symptoms in Children: A Network Approach

Ayse Seneldir^*, Umit Akirmak, Sibel Halfon

^*Corresponding author for this work

Faculty of Behavioural and Movement Sciences

Research output: Contribution to Journal › Article › Academic › peer-review

Abstract

Utilizing multiple informants to assess children’s depressive symptoms increases diagnostic accuracy, reliability, and validity of inferences. However, previous studies have found low to moderate agreement among informants. We applied network statistics to gain insight into children and their mothers’ differential perceptions of depressive symptoms. The sample included children and mother dyads (n = 185) who applied to psychotherapy services at an outpatient university clinic. Mothers filled out the Child Behavior Checklist, which includes a depression subscale, and children filled out the Children’s Depression Inventory. We computed association networks for thirteen depressive symptoms separately for children and mothers using the graphical LASSO. Sadness had the highest strength centrality in the networks of both children and mothers, but the pattern of connectivity and centrality of other symptoms differed. We discussed our findings within the framework of network theory.

Original language	English
Pages (from-to)	308-319
Number of pages	12
Journal	Child Psychiatry and Human Development
Volume	55
Issue number	2
Early online date	2 Aug 2022
DOIs	https://doi.org/10.1007/s10578-022-01403-x
Publication status	Published - Apr 2024

Bibliographical note

Publisher Copyright:
© The Author(s) 2022.

Funding

This research was partially funded by the Scientific and Technological Research Council of Turkey (TÜBITAK) ̇Project Number 215K180. This research was partially supported by the Technological and Research Council of Turkey (TUBİTAK) Project No: 215K180.

Funders	Funder number
Scientific and Technological Research Council of Turkey
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu
Ulusal Metroloji Enstitüsü, Türkiye Bilimsel ve Teknolojik Araştirma Kurumu	215K180

Keywords

Children
Cross-informant compatibility
Depressive symptoms
Psychological networks

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10.1007/s10578-022-01403-x

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title = "Cross-Informant Compatibility of Depression Symptoms in Children: A Network Approach",

abstract = "Utilizing multiple informants to assess children{\textquoteright}s depressive symptoms increases diagnostic accuracy, reliability, and validity of inferences. However, previous studies have found low to moderate agreement among informants. We applied network statistics to gain insight into children and their mothers{\textquoteright} differential perceptions of depressive symptoms. The sample included children and mother dyads (n = 185) who applied to psychotherapy services at an outpatient university clinic. Mothers filled out the Child Behavior Checklist, which includes a depression subscale, and children filled out the Children{\textquoteright}s Depression Inventory. We computed association networks for thirteen depressive symptoms separately for children and mothers using the graphical LASSO. Sadness had the highest strength centrality in the networks of both children and mothers, but the pattern of connectivity and centrality of other symptoms differed. We discussed our findings within the framework of network theory.",

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AB - Utilizing multiple informants to assess children’s depressive symptoms increases diagnostic accuracy, reliability, and validity of inferences. However, previous studies have found low to moderate agreement among informants. We applied network statistics to gain insight into children and their mothers’ differential perceptions of depressive symptoms. The sample included children and mother dyads (n = 185) who applied to psychotherapy services at an outpatient university clinic. Mothers filled out the Child Behavior Checklist, which includes a depression subscale, and children filled out the Children’s Depression Inventory. We computed association networks for thirteen depressive symptoms separately for children and mothers using the graphical LASSO. Sadness had the highest strength centrality in the networks of both children and mothers, but the pattern of connectivity and centrality of other symptoms differed. We discussed our findings within the framework of network theory.

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Cross-Informant Compatibility of Depression Symptoms in Children: A Network Approach

Abstract

Bibliographical note

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Keywords

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