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A System Model of Post-Migration Risk Factors Affecting the Mental Health of Unaccompanied Minor Refugees in Austria—A Multi-Step Modeling Process Involving Expert Knowledge from Science and Practice
Various studies have indicated that unaccompanied minor refugees (UMRs) have a higher risk of suffering from mental health problems than do accompanied minor refugees and general population norm. However, only a few studies provide data on UMRs regarding post-migration risk factors, their interrelat...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7400142/ https://www.ncbi.nlm.nih.gov/pubmed/32674357 http://dx.doi.org/10.3390/ijerph17145058 |
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author | Hynek, Nicole Franczukowska, Arleta Rössl, Lydia Schreder, Günther Faustmann, Anna Krczal, Eva Skrivanek, Isabella Sommer, Isolde Zenk, Lukas |
author_facet | Hynek, Nicole Franczukowska, Arleta Rössl, Lydia Schreder, Günther Faustmann, Anna Krczal, Eva Skrivanek, Isabella Sommer, Isolde Zenk, Lukas |
author_sort | Hynek, Nicole |
collection | PubMed |
description | Various studies have indicated that unaccompanied minor refugees (UMRs) have a higher risk of suffering from mental health problems than do accompanied minor refugees and general population norm. However, only a few studies provide data on UMRs regarding post-migration risk factors, their interrelations, and their influence on mental health. In this study, system models of post-migration risk factors for mental health and their interactions were developed in the case of Austria. In three consecutive interactive workshops with scientists and practitioners, fuzzy-logic cognitive mapping techniques were used to integrate the experts’ knowledge. The resulting final system model consists of 11 risk factors (e.g., social contacts in the host country, housing situation, or professional health care services). The model provides a deeper insight into the complexity of interrelated direct, indirect, and reciprocal relations, as well as self-reinforcing triads. This systemic approach provides a sound basis for further investigations, taking into account the inherent complex multifactorial dependencies in this topic. |
format | Online Article Text |
id | pubmed-7400142 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-74001422020-08-23 A System Model of Post-Migration Risk Factors Affecting the Mental Health of Unaccompanied Minor Refugees in Austria—A Multi-Step Modeling Process Involving Expert Knowledge from Science and Practice Hynek, Nicole Franczukowska, Arleta Rössl, Lydia Schreder, Günther Faustmann, Anna Krczal, Eva Skrivanek, Isabella Sommer, Isolde Zenk, Lukas Int J Environ Res Public Health Article Various studies have indicated that unaccompanied minor refugees (UMRs) have a higher risk of suffering from mental health problems than do accompanied minor refugees and general population norm. However, only a few studies provide data on UMRs regarding post-migration risk factors, their interrelations, and their influence on mental health. In this study, system models of post-migration risk factors for mental health and their interactions were developed in the case of Austria. In three consecutive interactive workshops with scientists and practitioners, fuzzy-logic cognitive mapping techniques were used to integrate the experts’ knowledge. The resulting final system model consists of 11 risk factors (e.g., social contacts in the host country, housing situation, or professional health care services). The model provides a deeper insight into the complexity of interrelated direct, indirect, and reciprocal relations, as well as self-reinforcing triads. This systemic approach provides a sound basis for further investigations, taking into account the inherent complex multifactorial dependencies in this topic. MDPI 2020-07-14 2020-07 /pmc/articles/PMC7400142/ /pubmed/32674357 http://dx.doi.org/10.3390/ijerph17145058 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Hynek, Nicole Franczukowska, Arleta Rössl, Lydia Schreder, Günther Faustmann, Anna Krczal, Eva Skrivanek, Isabella Sommer, Isolde Zenk, Lukas A System Model of Post-Migration Risk Factors Affecting the Mental Health of Unaccompanied Minor Refugees in Austria—A Multi-Step Modeling Process Involving Expert Knowledge from Science and Practice |
title | A System Model of Post-Migration Risk Factors Affecting the Mental Health of Unaccompanied Minor Refugees in Austria—A Multi-Step Modeling Process Involving Expert Knowledge from Science and Practice |
title_full | A System Model of Post-Migration Risk Factors Affecting the Mental Health of Unaccompanied Minor Refugees in Austria—A Multi-Step Modeling Process Involving Expert Knowledge from Science and Practice |
title_fullStr | A System Model of Post-Migration Risk Factors Affecting the Mental Health of Unaccompanied Minor Refugees in Austria—A Multi-Step Modeling Process Involving Expert Knowledge from Science and Practice |
title_full_unstemmed | A System Model of Post-Migration Risk Factors Affecting the Mental Health of Unaccompanied Minor Refugees in Austria—A Multi-Step Modeling Process Involving Expert Knowledge from Science and Practice |
title_short | A System Model of Post-Migration Risk Factors Affecting the Mental Health of Unaccompanied Minor Refugees in Austria—A Multi-Step Modeling Process Involving Expert Knowledge from Science and Practice |
title_sort | system model of post-migration risk factors affecting the mental health of unaccompanied minor refugees in austria—a multi-step modeling process involving expert knowledge from science and practice |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7400142/ https://www.ncbi.nlm.nih.gov/pubmed/32674357 http://dx.doi.org/10.3390/ijerph17145058 |
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