The identifying depression early in adolescence risk stratified cohort (IDEA-RiSCo) : rationale, methods, and baseline characteristics
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRGS |
Texto Completo: | http://hdl.handle.net/10183/242316 |
Resumo: | Background: The characterization of adolescents at high risk for developing depression has traditionally relied on the presence or absence of single risk factors. More recently, the use of composite risk scores combining information from multiple variables has gained attention in prognostic research in the field of mental health. We previously developed a sociodemographic composite score to estimate the individual level probability of depression occurrence in adolescence, the Identifying Depression Early in Adolescence Risk Score (IDEA-RS). Objectives: In this report, we present the rationale, methods, and baseline characteristics of the Identifying Depression Early in Adolescence Risk Stratified Cohort (IDEA-RiSCo), a study designed for in-depth examination of multiple neurobiological, psychological, and environmental measures associated with the risk of developing and with the presence of depression in adolescence, with a focus on immune/inflammatory and neuroimaging markers. Methods: Using the IDEA-RS as a tool for risk stratification, we recruited a new sample of adolescents enriched for low (LR) and high (HR) depression risk, as well as a group of adolescents with a currently untreated major depressive episode (MDD). Methods for phenotypic, peripheral biological samples, and neuroimaging assessments are described, as well as baseline clinical characteristics of the IDEA-RiSCo sample. Results: A total of 7,720 adolescents aged 14-16 years were screened in public state schools in Porto Alegre, Brazil. We were able to identify individuals at low and high risk for developing depression in adolescence: in each group, 50 participants (25 boys, 25 girls) were included and successfully completed the detailed phenotypic assessment with ascertainment of risk/MDD status, blood and saliva collections, and magnetic resonance imaging (MRI) scans. Across a variety of measures of psychopathology and exposure to negative events, there was a clear pattern in which either the MDD group or both the HR and the MDD groups exhibited worse indicators in comparison to the LR group. Conclusion: The use of an empirically-derived composite score to stratify risk for developing depression represents a promising strategy to establish a risk-enriched cohort that will contribute to the understanding of the neurobiological correlates of risk and onset of depression in adolescence. |
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Kieling, Christian CostaBuchweitz, ClaudiaCaye, ArthurManfro, Pedro Henrique GaivaPereira, Rivka BarrosViduani, Anna CarolinaBattel, Lucas FerreiraBenetti, Silvia Pereira da CruzMartini, Thaís CunhaPetresco, SandraPiccin, JaderRocha, Thiago Botter MaioRohde, Luis Augusto PaimRohrsetzer, FernandaSouza, Laila Oliveira deVelazquez, Bruna VelascoMondelli, Valeria2022-07-13T04:53:09Z20211664-0640http://hdl.handle.net/10183/242316001143748Background: The characterization of adolescents at high risk for developing depression has traditionally relied on the presence or absence of single risk factors. More recently, the use of composite risk scores combining information from multiple variables has gained attention in prognostic research in the field of mental health. We previously developed a sociodemographic composite score to estimate the individual level probability of depression occurrence in adolescence, the Identifying Depression Early in Adolescence Risk Score (IDEA-RS). Objectives: In this report, we present the rationale, methods, and baseline characteristics of the Identifying Depression Early in Adolescence Risk Stratified Cohort (IDEA-RiSCo), a study designed for in-depth examination of multiple neurobiological, psychological, and environmental measures associated with the risk of developing and with the presence of depression in adolescence, with a focus on immune/inflammatory and neuroimaging markers. Methods: Using the IDEA-RS as a tool for risk stratification, we recruited a new sample of adolescents enriched for low (LR) and high (HR) depression risk, as well as a group of adolescents with a currently untreated major depressive episode (MDD). Methods for phenotypic, peripheral biological samples, and neuroimaging assessments are described, as well as baseline clinical characteristics of the IDEA-RiSCo sample. Results: A total of 7,720 adolescents aged 14-16 years were screened in public state schools in Porto Alegre, Brazil. We were able to identify individuals at low and high risk for developing depression in adolescence: in each group, 50 participants (25 boys, 25 girls) were included and successfully completed the detailed phenotypic assessment with ascertainment of risk/MDD status, blood and saliva collections, and magnetic resonance imaging (MRI) scans. Across a variety of measures of psychopathology and exposure to negative events, there was a clear pattern in which either the MDD group or both the HR and the MDD groups exhibited worse indicators in comparison to the LR group. Conclusion: The use of an empirically-derived composite score to stratify risk for developing depression represents a promising strategy to establish a risk-enriched cohort that will contribute to the understanding of the neurobiological correlates of risk and onset of depression in adolescence.application/pdfengFrontiers in psychiatry. Lausanne. Vol. 12 (June 2021), 697144, 19 p.AdolescenteEstudos de coortesDepressãoNeurobiologiaFatores de riscoAdolescenceCohortDepressionNeurobiologyRisk scoreThe identifying depression early in adolescence risk stratified cohort (IDEA-RiSCo) : rationale, methods, and baseline characteristicsEstrangeiroinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001143748.pdf.txt001143748.pdf.txtExtracted Texttext/plain92999http://www.lume.ufrgs.br/bitstream/10183/242316/2/001143748.pdf.txtca4c08c08dddeb0f9df881707b5f7c6dMD52ORIGINAL001143748.pdfTexto completo (inglês)application/pdf4788835http://www.lume.ufrgs.br/bitstream/10183/242316/1/001143748.pdfa31b2d61795a5a1cb2a8380309dae006MD5110183/2423162022-07-14 04:54:53.858944oai:www.lume.ufrgs.br:10183/242316Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2022-07-14T07:54:53Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.pt_BR.fl_str_mv |
The identifying depression early in adolescence risk stratified cohort (IDEA-RiSCo) : rationale, methods, and baseline characteristics |
title |
The identifying depression early in adolescence risk stratified cohort (IDEA-RiSCo) : rationale, methods, and baseline characteristics |
spellingShingle |
The identifying depression early in adolescence risk stratified cohort (IDEA-RiSCo) : rationale, methods, and baseline characteristics Kieling, Christian Costa Adolescente Estudos de coortes Depressão Neurobiologia Fatores de risco Adolescence Cohort Depression Neurobiology Risk score |
title_short |
The identifying depression early in adolescence risk stratified cohort (IDEA-RiSCo) : rationale, methods, and baseline characteristics |
title_full |
The identifying depression early in adolescence risk stratified cohort (IDEA-RiSCo) : rationale, methods, and baseline characteristics |
title_fullStr |
The identifying depression early in adolescence risk stratified cohort (IDEA-RiSCo) : rationale, methods, and baseline characteristics |
title_full_unstemmed |
The identifying depression early in adolescence risk stratified cohort (IDEA-RiSCo) : rationale, methods, and baseline characteristics |
title_sort |
The identifying depression early in adolescence risk stratified cohort (IDEA-RiSCo) : rationale, methods, and baseline characteristics |
author |
Kieling, Christian Costa |
author_facet |
Kieling, Christian Costa Buchweitz, Claudia Caye, Arthur Manfro, Pedro Henrique Gaiva Pereira, Rivka Barros Viduani, Anna Carolina Battel, Lucas Ferreira Benetti, Silvia Pereira da Cruz Martini, Thaís Cunha Petresco, Sandra Piccin, Jader Rocha, Thiago Botter Maio Rohde, Luis Augusto Paim Rohrsetzer, Fernanda Souza, Laila Oliveira de Velazquez, Bruna Velasco Mondelli, Valeria |
author_role |
author |
author2 |
Buchweitz, Claudia Caye, Arthur Manfro, Pedro Henrique Gaiva Pereira, Rivka Barros Viduani, Anna Carolina Battel, Lucas Ferreira Benetti, Silvia Pereira da Cruz Martini, Thaís Cunha Petresco, Sandra Piccin, Jader Rocha, Thiago Botter Maio Rohde, Luis Augusto Paim Rohrsetzer, Fernanda Souza, Laila Oliveira de Velazquez, Bruna Velasco Mondelli, Valeria |
author2_role |
author author author author author author author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Kieling, Christian Costa Buchweitz, Claudia Caye, Arthur Manfro, Pedro Henrique Gaiva Pereira, Rivka Barros Viduani, Anna Carolina Battel, Lucas Ferreira Benetti, Silvia Pereira da Cruz Martini, Thaís Cunha Petresco, Sandra Piccin, Jader Rocha, Thiago Botter Maio Rohde, Luis Augusto Paim Rohrsetzer, Fernanda Souza, Laila Oliveira de Velazquez, Bruna Velasco Mondelli, Valeria |
dc.subject.por.fl_str_mv |
Adolescente Estudos de coortes Depressão Neurobiologia Fatores de risco |
topic |
Adolescente Estudos de coortes Depressão Neurobiologia Fatores de risco Adolescence Cohort Depression Neurobiology Risk score |
dc.subject.eng.fl_str_mv |
Adolescence Cohort Depression Neurobiology Risk score |
description |
Background: The characterization of adolescents at high risk for developing depression has traditionally relied on the presence or absence of single risk factors. More recently, the use of composite risk scores combining information from multiple variables has gained attention in prognostic research in the field of mental health. We previously developed a sociodemographic composite score to estimate the individual level probability of depression occurrence in adolescence, the Identifying Depression Early in Adolescence Risk Score (IDEA-RS). Objectives: In this report, we present the rationale, methods, and baseline characteristics of the Identifying Depression Early in Adolescence Risk Stratified Cohort (IDEA-RiSCo), a study designed for in-depth examination of multiple neurobiological, psychological, and environmental measures associated with the risk of developing and with the presence of depression in adolescence, with a focus on immune/inflammatory and neuroimaging markers. Methods: Using the IDEA-RS as a tool for risk stratification, we recruited a new sample of adolescents enriched for low (LR) and high (HR) depression risk, as well as a group of adolescents with a currently untreated major depressive episode (MDD). Methods for phenotypic, peripheral biological samples, and neuroimaging assessments are described, as well as baseline clinical characteristics of the IDEA-RiSCo sample. Results: A total of 7,720 adolescents aged 14-16 years were screened in public state schools in Porto Alegre, Brazil. We were able to identify individuals at low and high risk for developing depression in adolescence: in each group, 50 participants (25 boys, 25 girls) were included and successfully completed the detailed phenotypic assessment with ascertainment of risk/MDD status, blood and saliva collections, and magnetic resonance imaging (MRI) scans. Across a variety of measures of psychopathology and exposure to negative events, there was a clear pattern in which either the MDD group or both the HR and the MDD groups exhibited worse indicators in comparison to the LR group. Conclusion: The use of an empirically-derived composite score to stratify risk for developing depression represents a promising strategy to establish a risk-enriched cohort that will contribute to the understanding of the neurobiological correlates of risk and onset of depression in adolescence. |
publishDate |
2021 |
dc.date.issued.fl_str_mv |
2021 |
dc.date.accessioned.fl_str_mv |
2022-07-13T04:53:09Z |
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Estrangeiro info:eu-repo/semantics/article |
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eng |
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Frontiers in psychiatry. Lausanne. Vol. 12 (June 2021), 697144, 19 p. |
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