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The Identifying Depression Early in Adolescence Risk Stratified Cohort (IDEA-RiSCo): Rationale, Methods, and Baseline Characteristics
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8255472/ https://www.ncbi.nlm.nih.gov/pubmed/34234702 http://dx.doi.org/10.3389/fpsyt.2021.697144 |
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author | Kieling, Christian Buchweitz, Claudia Caye, Arthur Manfro, Pedro Pereira, Rivka Viduani, Anna Anés, Maurício Battel, Lucas Benetti, Silvia Fisher, Helen L. Karmacharya, Rakesh Kohrt, Brandon A. Martini, Thais Petresco, Sandra Piccin, Jader Rocha, Thiago Rohde, Luis Augusto Rohrsetzer, Fernanda Souza, Laila Velazquez, Bruna Walsh, Annabel Yoon, Leehyun Zajkowska, Zuzanna Zonca, Valentina Swartz, Johnna R. Mondelli, Valeria |
author_facet | Kieling, Christian Buchweitz, Claudia Caye, Arthur Manfro, Pedro Pereira, Rivka Viduani, Anna Anés, Maurício Battel, Lucas Benetti, Silvia Fisher, Helen L. Karmacharya, Rakesh Kohrt, Brandon A. Martini, Thais Petresco, Sandra Piccin, Jader Rocha, Thiago Rohde, Luis Augusto Rohrsetzer, Fernanda Souza, Laila Velazquez, Bruna Walsh, Annabel Yoon, Leehyun Zajkowska, Zuzanna Zonca, Valentina Swartz, Johnna R. Mondelli, Valeria |
author_sort | Kieling, Christian |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-8255472 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82554722021-07-06 The Identifying Depression Early in Adolescence Risk Stratified Cohort (IDEA-RiSCo): Rationale, Methods, and Baseline Characteristics Kieling, Christian Buchweitz, Claudia Caye, Arthur Manfro, Pedro Pereira, Rivka Viduani, Anna Anés, Maurício Battel, Lucas Benetti, Silvia Fisher, Helen L. Karmacharya, Rakesh Kohrt, Brandon A. Martini, Thais Petresco, Sandra Piccin, Jader Rocha, Thiago Rohde, Luis Augusto Rohrsetzer, Fernanda Souza, Laila Velazquez, Bruna Walsh, Annabel Yoon, Leehyun Zajkowska, Zuzanna Zonca, Valentina Swartz, Johnna R. Mondelli, Valeria Front Psychiatry Psychiatry 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. Frontiers Media S.A. 2021-06-21 /pmc/articles/PMC8255472/ /pubmed/34234702 http://dx.doi.org/10.3389/fpsyt.2021.697144 Text en Copyright © 2021 Kieling, Buchweitz, Caye, Manfro, Pereira, Viduani, Anés, Battel, Benetti, Fisher, Karmacharya, Kohrt, Martini, Petresco, Piccin, Rocha, Rohde, Rohrsetzer, Souza, Velazquez, Walsh, Yoon, Zajkowska, Zonca, Swartz and Mondelli. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychiatry Kieling, Christian Buchweitz, Claudia Caye, Arthur Manfro, Pedro Pereira, Rivka Viduani, Anna Anés, Maurício Battel, Lucas Benetti, Silvia Fisher, Helen L. Karmacharya, Rakesh Kohrt, Brandon A. Martini, Thais Petresco, Sandra Piccin, Jader Rocha, Thiago Rohde, Luis Augusto Rohrsetzer, Fernanda Souza, Laila Velazquez, Bruna Walsh, Annabel Yoon, Leehyun Zajkowska, Zuzanna Zonca, Valentina Swartz, Johnna R. Mondelli, Valeria 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 |
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_short | The Identifying Depression Early in Adolescence Risk Stratified Cohort (IDEA-RiSCo): Rationale, Methods, and Baseline Characteristics |
title_sort | identifying depression early in adolescence risk stratified cohort (idea-risco): rationale, methods, and baseline characteristics |
topic | Psychiatry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8255472/ https://www.ncbi.nlm.nih.gov/pubmed/34234702 http://dx.doi.org/10.3389/fpsyt.2021.697144 |
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