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Stressors related to the Covid-19 pandemic, climate change, and the Ukraine crisis, and their impact on stress symptoms in Germany: analysis of cross-sectional survey data

BACKGROUND: Climate change, the Covid-19 pandemic, and the Ukraine crisis are considered unprecedented global stressors, potentially associated with serious health consequences. However, simultaneous effects of these stressors are not yet understood, making it difficult to evaluate their relative co...

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Autores principales: Weierstall-Pust, Roland, Schnell, Thomas, Heßmann, Philipp, Feld, Michael, Höfer, Max, Plate, Anna, Müller, Matthias J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9709756/
https://www.ncbi.nlm.nih.gov/pubmed/36451152
http://dx.doi.org/10.1186/s12889-022-14682-9
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author Weierstall-Pust, Roland
Schnell, Thomas
Heßmann, Philipp
Feld, Michael
Höfer, Max
Plate, Anna
Müller, Matthias J.
author_facet Weierstall-Pust, Roland
Schnell, Thomas
Heßmann, Philipp
Feld, Michael
Höfer, Max
Plate, Anna
Müller, Matthias J.
author_sort Weierstall-Pust, Roland
collection PubMed
description BACKGROUND: Climate change, the Covid-19 pandemic, and the Ukraine crisis are considered unprecedented global stressors, potentially associated with serious health consequences. However, simultaneous effects of these stressors are not yet understood, making it difficult to evaluate their relative contribution to the population burden and potential future manifestations in clinically significant psychiatric disorders. This study aimed at disentangling the relative contribution of the three stressor groups on current sub-clinical stress symptoms. METHODS: A cross-sectional, representative survey study was conducted two months after the outbreak of the Ukraine war in Germany. Proportional quota sampling was applied for age, gender, income, and regional characteristics. Data were recruited by means of an online survey. 3094 data sets (1560 females) were included. Age ranged from 18–89 (M: 50.4 years; SD: 17.2). The Subclinical Stress Questionnaire (SSQ-25) served as main outcome measure. In collaboration with a professional media agency, 20 items were generated to capture salient population stressors. A three-factor exploratory structural equation model confirmed the appropriateness of this scale. RESULTS: (1) Differences in subjective rankings revealed that stressors related to the Ukraine crisis were rated as most worrying, followed by climate change, and the Covid-19 pandemic (Generalized-Linear-Model: Epsilon = .97; F(1.94, 6001.14) = 1026.12, p < .001; η(p)(2) = .25). (2) In a linear regression model (R(2) = .39), Covid-19 pandemic stressors were the only meaningful predictors for current ill-health (standardized β = .48). Ukraine crisis did not predict stress symptom profiles in the present sample. (3) Older and male individuals report less and/or less severe stress symptoms, although effect sizes were small (range: η(2) .11—.21). An older age also reduced the impact of Covid-19 stressors. CONCLUSIONS: Researchers from the health sciences must consider overlapping effects from population stressors. Although the Ukraine crisis and climate change mark salient stressors, including economic threats, the Covid-19 pandemic still has a profound effect on ill-health and must be considered as a relevant factor in future manifestations of psychiatric and associated health consequences.
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spelling pubmed-97097562022-11-30 Stressors related to the Covid-19 pandemic, climate change, and the Ukraine crisis, and their impact on stress symptoms in Germany: analysis of cross-sectional survey data Weierstall-Pust, Roland Schnell, Thomas Heßmann, Philipp Feld, Michael Höfer, Max Plate, Anna Müller, Matthias J. BMC Public Health Research BACKGROUND: Climate change, the Covid-19 pandemic, and the Ukraine crisis are considered unprecedented global stressors, potentially associated with serious health consequences. However, simultaneous effects of these stressors are not yet understood, making it difficult to evaluate their relative contribution to the population burden and potential future manifestations in clinically significant psychiatric disorders. This study aimed at disentangling the relative contribution of the three stressor groups on current sub-clinical stress symptoms. METHODS: A cross-sectional, representative survey study was conducted two months after the outbreak of the Ukraine war in Germany. Proportional quota sampling was applied for age, gender, income, and regional characteristics. Data were recruited by means of an online survey. 3094 data sets (1560 females) were included. Age ranged from 18–89 (M: 50.4 years; SD: 17.2). The Subclinical Stress Questionnaire (SSQ-25) served as main outcome measure. In collaboration with a professional media agency, 20 items were generated to capture salient population stressors. A three-factor exploratory structural equation model confirmed the appropriateness of this scale. RESULTS: (1) Differences in subjective rankings revealed that stressors related to the Ukraine crisis were rated as most worrying, followed by climate change, and the Covid-19 pandemic (Generalized-Linear-Model: Epsilon = .97; F(1.94, 6001.14) = 1026.12, p < .001; η(p)(2) = .25). (2) In a linear regression model (R(2) = .39), Covid-19 pandemic stressors were the only meaningful predictors for current ill-health (standardized β = .48). Ukraine crisis did not predict stress symptom profiles in the present sample. (3) Older and male individuals report less and/or less severe stress symptoms, although effect sizes were small (range: η(2) .11—.21). An older age also reduced the impact of Covid-19 stressors. CONCLUSIONS: Researchers from the health sciences must consider overlapping effects from population stressors. Although the Ukraine crisis and climate change mark salient stressors, including economic threats, the Covid-19 pandemic still has a profound effect on ill-health and must be considered as a relevant factor in future manifestations of psychiatric and associated health consequences. BioMed Central 2022-11-30 /pmc/articles/PMC9709756/ /pubmed/36451152 http://dx.doi.org/10.1186/s12889-022-14682-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Weierstall-Pust, Roland
Schnell, Thomas
Heßmann, Philipp
Feld, Michael
Höfer, Max
Plate, Anna
Müller, Matthias J.
Stressors related to the Covid-19 pandemic, climate change, and the Ukraine crisis, and their impact on stress symptoms in Germany: analysis of cross-sectional survey data
title Stressors related to the Covid-19 pandemic, climate change, and the Ukraine crisis, and their impact on stress symptoms in Germany: analysis of cross-sectional survey data
title_full Stressors related to the Covid-19 pandemic, climate change, and the Ukraine crisis, and their impact on stress symptoms in Germany: analysis of cross-sectional survey data
title_fullStr Stressors related to the Covid-19 pandemic, climate change, and the Ukraine crisis, and their impact on stress symptoms in Germany: analysis of cross-sectional survey data
title_full_unstemmed Stressors related to the Covid-19 pandemic, climate change, and the Ukraine crisis, and their impact on stress symptoms in Germany: analysis of cross-sectional survey data
title_short Stressors related to the Covid-19 pandemic, climate change, and the Ukraine crisis, and their impact on stress symptoms in Germany: analysis of cross-sectional survey data
title_sort stressors related to the covid-19 pandemic, climate change, and the ukraine crisis, and their impact on stress symptoms in germany: analysis of cross-sectional survey data
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9709756/
https://www.ncbi.nlm.nih.gov/pubmed/36451152
http://dx.doi.org/10.1186/s12889-022-14682-9
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