Development and Predictors of Bipolar Disorder in Children and Adolescents with Depressive Disorders A Systematic Review, Meta-analysis and Meta-regression

Background: Estimating the risk of developing bipolar disorder (BD) in children and adolescents (C&A) with depressive disorders is important to optimize prevention and early intervention efforts. We aimed to quantitatively examine the risk of developing BD from depressive disorders and identify...

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Detalles Bibliográficos
Autores: Salazar de Pablo, Gonzalo, Moreno Ruiz, María del Carmen, Young, Allan H.
Tipo de recurso: artículo
Fecha de publicación:2025
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/132977
Acceso en línea:https://hdl.handle.net/20.500.14352/132977
Access Level:acceso abierto
Palabra clave:616.89
Adolescents
Bipolar disorder
Children
Depressive disorders
Meta-analysis
Prevention
Medicina
Psiquiatría
32 Ciencias Médicas
3211 Psiquiatría
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spelling Development and Predictors of Bipolar Disorder in Children and Adolescents with Depressive Disorders A Systematic Review, Meta-analysis and Meta-regressionSalazar de Pablo, GonzaloMoreno Ruiz, María del CarmenYoung, Allan H.616.89AdolescentsBipolar disorderChildrenDepressive disordersMeta-analysisPreventionMedicinaPsiquiatría32 Ciencias Médicas3211 PsiquiatríaBackground: Estimating the risk of developing bipolar disorder (BD) in children and adolescents (C&A) with depressive disorders is important to optimize prevention and early intervention efforts. We aimed to quantitatively examine the risk of developing BD from depressive disorders and identify factors which moderate this development. Methods: In this systematic review and meta-analysis (PROSPERO:CRD42023431301), PubMed and Web-of-Science databases were searched for longitudinal studies reporting the percentage of C&A with ICD/DSM-defined depressive disorders who developed BD during follow-up. Data extraction, random-effects meta-analysis, between-study heterogeneity analysis, quality assessment, sub-group analyses, and meta-regressions were conducted. Results: Thirty-nine studies were included, including 72,371 individuals (mean age=13.9 years, 57.1% females); 14.7% of C&A with a depressive disorder developed BD after 20.4-288 months: 9.5% developed BD-I (95% CI=4.7 to 18.1); 7.7% developed BD-II (95% CI=3.2% to 17.3%); 19.8% (95% CI=9.9% to 35.6%) of C&A admitted into the hospital with a depressive disorder developed BD. Studies using the DSM (21.6%, 95% CI=20.2% to 23.1%) and studies evaluating C&A with a major depressive disorder only (19.8%, 95% CI=16.8% to 23.1%) found higher rates of development of BD. Younger age at baseline, a history of hospitalization and recruitment from specialized clinics were associated with an increased risk of developing BD at follow-up. Quality of included studies was good in 76.9% of studies. Conclusions: There is a substantial risk of developing BD in C&A with depressive disorders. This is particularly the case for C&A with MDD, DSM-diagnosed depressive disorders, and C&A admitted into the hospital. Research exploring additional predictors and preventive interventions is crucial.Cambridge University PressUniversidad Complutense de Madrid20252025-01-0820252025-01-08journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/132977reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/1329772026-06-02T12:44:21Z
dc.title.none.fl_str_mv Development and Predictors of Bipolar Disorder in Children and Adolescents with Depressive Disorders A Systematic Review, Meta-analysis and Meta-regression
title Development and Predictors of Bipolar Disorder in Children and Adolescents with Depressive Disorders A Systematic Review, Meta-analysis and Meta-regression
spellingShingle Development and Predictors of Bipolar Disorder in Children and Adolescents with Depressive Disorders A Systematic Review, Meta-analysis and Meta-regression
Salazar de Pablo, Gonzalo
616.89
Adolescents
Bipolar disorder
Children
Depressive disorders
Meta-analysis
Prevention
Medicina
Psiquiatría
32 Ciencias Médicas
3211 Psiquiatría
title_short Development and Predictors of Bipolar Disorder in Children and Adolescents with Depressive Disorders A Systematic Review, Meta-analysis and Meta-regression
title_full Development and Predictors of Bipolar Disorder in Children and Adolescents with Depressive Disorders A Systematic Review, Meta-analysis and Meta-regression
title_fullStr Development and Predictors of Bipolar Disorder in Children and Adolescents with Depressive Disorders A Systematic Review, Meta-analysis and Meta-regression
title_full_unstemmed Development and Predictors of Bipolar Disorder in Children and Adolescents with Depressive Disorders A Systematic Review, Meta-analysis and Meta-regression
title_sort Development and Predictors of Bipolar Disorder in Children and Adolescents with Depressive Disorders A Systematic Review, Meta-analysis and Meta-regression
dc.creator.none.fl_str_mv Salazar de Pablo, Gonzalo
Moreno Ruiz, María del Carmen
Young, Allan H.
author Salazar de Pablo, Gonzalo
author_facet Salazar de Pablo, Gonzalo
Moreno Ruiz, María del Carmen
Young, Allan H.
author_role author
author2 Moreno Ruiz, María del Carmen
Young, Allan H.
author2_role author
author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv 616.89
Adolescents
Bipolar disorder
Children
Depressive disorders
Meta-analysis
Prevention
Medicina
Psiquiatría
32 Ciencias Médicas
3211 Psiquiatría
topic 616.89
Adolescents
Bipolar disorder
Children
Depressive disorders
Meta-analysis
Prevention
Medicina
Psiquiatría
32 Ciencias Médicas
3211 Psiquiatría
description Background: Estimating the risk of developing bipolar disorder (BD) in children and adolescents (C&A) with depressive disorders is important to optimize prevention and early intervention efforts. We aimed to quantitatively examine the risk of developing BD from depressive disorders and identify factors which moderate this development. Methods: In this systematic review and meta-analysis (PROSPERO:CRD42023431301), PubMed and Web-of-Science databases were searched for longitudinal studies reporting the percentage of C&A with ICD/DSM-defined depressive disorders who developed BD during follow-up. Data extraction, random-effects meta-analysis, between-study heterogeneity analysis, quality assessment, sub-group analyses, and meta-regressions were conducted. Results: Thirty-nine studies were included, including 72,371 individuals (mean age=13.9 years, 57.1% females); 14.7% of C&A with a depressive disorder developed BD after 20.4-288 months: 9.5% developed BD-I (95% CI=4.7 to 18.1); 7.7% developed BD-II (95% CI=3.2% to 17.3%); 19.8% (95% CI=9.9% to 35.6%) of C&A admitted into the hospital with a depressive disorder developed BD. Studies using the DSM (21.6%, 95% CI=20.2% to 23.1%) and studies evaluating C&A with a major depressive disorder only (19.8%, 95% CI=16.8% to 23.1%) found higher rates of development of BD. Younger age at baseline, a history of hospitalization and recruitment from specialized clinics were associated with an increased risk of developing BD at follow-up. Quality of included studies was good in 76.9% of studies. Conclusions: There is a substantial risk of developing BD in C&A with depressive disorders. This is particularly the case for C&A with MDD, DSM-diagnosed depressive disorders, and C&A admitted into the hospital. Research exploring additional predictors and preventive interventions is crucial.
publishDate 2025
dc.date.none.fl_str_mv 2025
2025-01-08
2025
2025-01-08
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/132977
url https://hdl.handle.net/20.500.14352/132977
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Cambridge University Press
publisher.none.fl_str_mv Cambridge University Press
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
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