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Modeling and estimating the feedback mechanisms among depression, rumination, and stressors in adolescents

The systemic interactions among depressive symptoms, rumination, and stress are important to understanding depression but have not yet been quantified. In this article, we present a system dynamics simulation model of depression that captures the reciprocal relationships among stressors, rumination,...

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Autores principales: Hosseinichimeh, Niyousha, Wittenborn, Andrea K., Rick, Jennifer, Jalali, Mohammad S., Rahmandad, Hazhir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6160072/
https://www.ncbi.nlm.nih.gov/pubmed/30261010
http://dx.doi.org/10.1371/journal.pone.0204389
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author Hosseinichimeh, Niyousha
Wittenborn, Andrea K.
Rick, Jennifer
Jalali, Mohammad S.
Rahmandad, Hazhir
author_facet Hosseinichimeh, Niyousha
Wittenborn, Andrea K.
Rick, Jennifer
Jalali, Mohammad S.
Rahmandad, Hazhir
author_sort Hosseinichimeh, Niyousha
collection PubMed
description The systemic interactions among depressive symptoms, rumination, and stress are important to understanding depression but have not yet been quantified. In this article, we present a system dynamics simulation model of depression that captures the reciprocal relationships among stressors, rumination, and depression. Building on the response styles theory, this model formalizes three interdependent mechanisms: 1) Rumination contributes to ‘keeping stressors alive’; 2) Rumination has a direct impact on depressive symptoms; and 3) Both ‘stressors kept alive’ and current depressive symptoms contribute to rumination. The strength of these mechanisms is estimated using data from 661 adolescents (353 girls and 308 boys) from two middle schools (grades 6–8). These estimates indicate that rumination contributes to depression by keeping stressors ‘alive’—and the individual activated—even after the stressor has ended. This mechanism is stronger among girls than boys, increasing their vulnerability to a rumination reinforcing loop. Different profiles of depression emerge over time depending on initial levels of depressive symptoms, rumination, and stressors as well as the occurrence rate for stressors; levels of rumination and occurrence of stressors are stronger contributors to long-term depression. Our systems model is a steppingstone towards a more comprehensive understanding of depression in which reinforcing feedback mechanisms play a significant role. Future research is needed to expand this simulation model to incorporate other drivers of depression and provide a more holistic tool for studying depression.
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spelling pubmed-61600722018-10-19 Modeling and estimating the feedback mechanisms among depression, rumination, and stressors in adolescents Hosseinichimeh, Niyousha Wittenborn, Andrea K. Rick, Jennifer Jalali, Mohammad S. Rahmandad, Hazhir PLoS One Research Article The systemic interactions among depressive symptoms, rumination, and stress are important to understanding depression but have not yet been quantified. In this article, we present a system dynamics simulation model of depression that captures the reciprocal relationships among stressors, rumination, and depression. Building on the response styles theory, this model formalizes three interdependent mechanisms: 1) Rumination contributes to ‘keeping stressors alive’; 2) Rumination has a direct impact on depressive symptoms; and 3) Both ‘stressors kept alive’ and current depressive symptoms contribute to rumination. The strength of these mechanisms is estimated using data from 661 adolescents (353 girls and 308 boys) from two middle schools (grades 6–8). These estimates indicate that rumination contributes to depression by keeping stressors ‘alive’—and the individual activated—even after the stressor has ended. This mechanism is stronger among girls than boys, increasing their vulnerability to a rumination reinforcing loop. Different profiles of depression emerge over time depending on initial levels of depressive symptoms, rumination, and stressors as well as the occurrence rate for stressors; levels of rumination and occurrence of stressors are stronger contributors to long-term depression. Our systems model is a steppingstone towards a more comprehensive understanding of depression in which reinforcing feedback mechanisms play a significant role. Future research is needed to expand this simulation model to incorporate other drivers of depression and provide a more holistic tool for studying depression. Public Library of Science 2018-09-27 /pmc/articles/PMC6160072/ /pubmed/30261010 http://dx.doi.org/10.1371/journal.pone.0204389 Text en © 2018 Hosseinichimeh et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Hosseinichimeh, Niyousha
Wittenborn, Andrea K.
Rick, Jennifer
Jalali, Mohammad S.
Rahmandad, Hazhir
Modeling and estimating the feedback mechanisms among depression, rumination, and stressors in adolescents
title Modeling and estimating the feedback mechanisms among depression, rumination, and stressors in adolescents
title_full Modeling and estimating the feedback mechanisms among depression, rumination, and stressors in adolescents
title_fullStr Modeling and estimating the feedback mechanisms among depression, rumination, and stressors in adolescents
title_full_unstemmed Modeling and estimating the feedback mechanisms among depression, rumination, and stressors in adolescents
title_short Modeling and estimating the feedback mechanisms among depression, rumination, and stressors in adolescents
title_sort modeling and estimating the feedback mechanisms among depression, rumination, and stressors in adolescents
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6160072/
https://www.ncbi.nlm.nih.gov/pubmed/30261010
http://dx.doi.org/10.1371/journal.pone.0204389
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