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Structural Equation Modeling of a Global Stress Index in Healthy Soldiers
Accumulation of stress is a prognostic trigger for cardiovascular disease. Classical scores for cardiovascular risk estimation typically do not consider psychosocial stress. The aim of this study was to develop a global stress index (GSI) from healthy participants by combining individual measures of...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8074902/ https://www.ncbi.nlm.nih.gov/pubmed/33924268 http://dx.doi.org/10.3390/jcm10081799 |
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author | Maier, Tanja Kugelmann, Melanie Rhee, Dae-Sup Brill, Sebastian Gündel, Harald Friemert, Benedikt Becker, Horst-Peter Waller, Christiane Rappel, Manuela |
author_facet | Maier, Tanja Kugelmann, Melanie Rhee, Dae-Sup Brill, Sebastian Gündel, Harald Friemert, Benedikt Becker, Horst-Peter Waller, Christiane Rappel, Manuela |
author_sort | Maier, Tanja |
collection | PubMed |
description | Accumulation of stress is a prognostic trigger for cardiovascular disease. Classical scores for cardiovascular risk estimation typically do not consider psychosocial stress. The aim of this study was to develop a global stress index (GSI) from healthy participants by combining individual measures of acute and chronic stress from childhood to adult life. One-hundred and ninety-two female and male soldiers completed the Perceived Stress Scale (PSS4), Trier Inventory for Chronic Stress (TICS), Hospital Anxiety and Depression Scale (HADS), Childhood Trauma Questionnaire (CTQ), Posttraumatic Diagnostic Scale Checklist (PDS), and the Deployment Risk and Resilience Inventory (DRRI-2). The underlying structure for the GSI was examined through structural equation modeling. The final hierarchical multilevel model revealed fair fit by taking modification indices into account. The highest order had a g-factor called the GSI. On a second level the latent variables stress, HADS and CTQ were directly loading on the GSI. A third level with the six CTQ subscales was implemented. On the lowest hierarchical level all manifest variables and the DRRI-2/PDS sum scores were located. The presented GSI serves as a valuable and individual stress profile for soldiers and could potentially complement classical cardiovascular risk factors. |
format | Online Article Text |
id | pubmed-8074902 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-80749022021-04-27 Structural Equation Modeling of a Global Stress Index in Healthy Soldiers Maier, Tanja Kugelmann, Melanie Rhee, Dae-Sup Brill, Sebastian Gündel, Harald Friemert, Benedikt Becker, Horst-Peter Waller, Christiane Rappel, Manuela J Clin Med Article Accumulation of stress is a prognostic trigger for cardiovascular disease. Classical scores for cardiovascular risk estimation typically do not consider psychosocial stress. The aim of this study was to develop a global stress index (GSI) from healthy participants by combining individual measures of acute and chronic stress from childhood to adult life. One-hundred and ninety-two female and male soldiers completed the Perceived Stress Scale (PSS4), Trier Inventory for Chronic Stress (TICS), Hospital Anxiety and Depression Scale (HADS), Childhood Trauma Questionnaire (CTQ), Posttraumatic Diagnostic Scale Checklist (PDS), and the Deployment Risk and Resilience Inventory (DRRI-2). The underlying structure for the GSI was examined through structural equation modeling. The final hierarchical multilevel model revealed fair fit by taking modification indices into account. The highest order had a g-factor called the GSI. On a second level the latent variables stress, HADS and CTQ were directly loading on the GSI. A third level with the six CTQ subscales was implemented. On the lowest hierarchical level all manifest variables and the DRRI-2/PDS sum scores were located. The presented GSI serves as a valuable and individual stress profile for soldiers and could potentially complement classical cardiovascular risk factors. MDPI 2021-04-20 /pmc/articles/PMC8074902/ /pubmed/33924268 http://dx.doi.org/10.3390/jcm10081799 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Maier, Tanja Kugelmann, Melanie Rhee, Dae-Sup Brill, Sebastian Gündel, Harald Friemert, Benedikt Becker, Horst-Peter Waller, Christiane Rappel, Manuela Structural Equation Modeling of a Global Stress Index in Healthy Soldiers |
title | Structural Equation Modeling of a Global Stress Index in Healthy Soldiers |
title_full | Structural Equation Modeling of a Global Stress Index in Healthy Soldiers |
title_fullStr | Structural Equation Modeling of a Global Stress Index in Healthy Soldiers |
title_full_unstemmed | Structural Equation Modeling of a Global Stress Index in Healthy Soldiers |
title_short | Structural Equation Modeling of a Global Stress Index in Healthy Soldiers |
title_sort | structural equation modeling of a global stress index in healthy soldiers |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8074902/ https://www.ncbi.nlm.nih.gov/pubmed/33924268 http://dx.doi.org/10.3390/jcm10081799 |
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