Evidence map›Paper›PMID 30261010›Full record

ArticlePloS one2018

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

Niyousha Hosseinichimeh, Andrea K Wittenborn, Jennifer Rick, Mohammad S Jalali, Hazhir Rahmandad

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. A System Dynamics Simulation Applied to Healthcare: A Systematic Review.International journal of environmental research and public health · 2020
    Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Niyousha HosseinichimehGrado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA, United States of America.ORCID 0000-0003-3809-3778
Andrea K WittenbornDepartment of Human Development and Family Studies, Michigan State University, East Lansing, MI, United States of America.
Jennifer RickDepartment of Human Development and Family Studies, Michigan State University, East Lansing, MI, United States of America.
Mohammad S JalaliSloan School of Management, Massachusetts Institute of Technology, Cambridge, MA, United States of America.
Hazhir RahmandadSloan School of Management, Massachusetts Institute of Technology, Cambridge, MA, United States of America.
Massachusetts Institute of Technology · USMichigan State University · USVirginia Tech · US

Funding

Modeling the Dynamics of Adult DepressionR21MH100515 · NIMH · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI WITTENBORN, ANDREA K · 2013 to 2014
$377k
NIMH NIH HHS R21 MH100515
6 · The paper itself

Abstract

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.

Indexed as

DepressionFeedback, PsychologicalModels, PsychologicalStress, PsychologicalThinkingAdolescentAdolescent BehaviorFemaleHumansLongitudinal StudiesMalePsychology, AdolescentSex Factors

Identifiers

PMID30261010
PMCPMC6160072
OpenAlexW2892793759

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.