COVID-19 stress syndrome in the German general population: Validation of a German version of the COVID Stress Scales
- Publikationstyp:
- Zeitschriftenaufsatz
- Metadaten:
-
- Autoren
- Stefanie Jungmann
- Martina Piefke
- Vincent Nin
- Gordon JG Asmundson
- Michael Witthoeft
- Autoren-URL
- https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000972909700001&DestLinkType=FullRecord&DestApp=WOS_CPL
- DOI
- 10.1371/journal.pone.0279319
- Externe Identifier
- Clarivate Analytics Document Solution ID: E0ZA8
- PubMed Identifier: 36730324
- ISSN
- 1932-6203
- Ausgabe der Veröffentlichung
- 2
- Zeitschrift
- PLOS ONE
- Artikelnummer
- ARTN e0279319
- Datum der Veröffentlichung
- 2023
- Status
- Published
- Titel
- COVID-19 stress syndrome in the German general population: Validation of a German version of the COVID Stress Scales
- Sub types
- Article
- Ausgabe der Zeitschrift
- 18
Datenquelle: Web of Science (Lite)
- Andere Metadatenquellen:
-
- Abstract
- <jats:p>The COVID Stress Scales (CSS) are a new self-report instrument for multidimensional assessment of psychological stress in the context of the pandemic. The CSS have now been translated and validated in over 20 languages, but a validated German version has not yet been available. Therefore, the aim was to develop a German version of the CSS, to test its factor structure, reliability, and validity, and to compare it with international studies. In an online survey (08/2020–06/2021), <jats:italic>N</jats:italic> = 1774 individuals from the German general population (71.5% female; M<jats:sub><jats:italic>age</jats:italic></jats:sub> = 41.2 years, SD = 14.2) completed the CSS as well as questionnaires on related constructs and psychopathology. After eight weeks, participants were asked to participate again for the purpose of calculating retest reliability (<jats:italic>N</jats:italic> = 806). For the German version, the 6-factor structure with good model fit (Root Mean Square Error of Approximation, RMSEA = 0.06) was confirmed, with the six subscales: Danger, Socio-Economic Consequences, Xenophobia, Contamination, Traumatic Stress, and Compulsive Checking. Internal consistencies ranged from ω = .82–.94 (except Compulsive Checking ω = .70), and retest reliability from r<jats:sub>tt</jats:sub> = .62–.82. Convergent and discriminant validity were confirmed for the German version. Related constructs such as health anxiety, general xenophobia, obsessive-compulsive behavior, and posttraumatic stress disorder symptoms correlated moderately with the respective subscale and lower with the other scales. With anxiety and depression, Traumatic Stress showed the strongest correlation. Overall, there was a high degree of agreement in an international comparison. The CSS can help to identify pandemic-related psychological stress and to derive appropriate interventions.</jats:p>
- Autoren
- Stefanie M Jungmann
- Martina Piefke
- Vincent Nin
- Gordon JG Asmundson
- Michael Witthöft
- DOI
- 10.1371/journal.pone.0279319
- Editoren
- Chung-Ying Lin
- eISSN
- 1932-6203
- Ausgabe der Veröffentlichung
- 2
- Zeitschrift
- PLOS ONE
- Sprache
- en
- Online publication date
- 2023
- Paginierung
- e0279319 - e0279319
- Status
- Published online
- Herausgeber
- Public Library of Science (PLoS)
- Herausgeber URL
- http://dx.doi.org/10.1371/journal.pone.0279319
- Datum der Datenerfassung
- 2023
- Titel
- COVID-19 stress syndrome in the German general population: Validation of a German version of the COVID Stress Scales
- Ausgabe der Zeitschrift
- 18
Datenquelle: Crossref
- Abstract
- The COVID Stress Scales (CSS) are a new self-report instrument for multidimensional assessment of psychological stress in the context of the pandemic. The CSS have now been translated and validated in over 20 languages, but a validated German version has not yet been available. Therefore, the aim was to develop a German version of the CSS, to test its factor structure, reliability, and validity, and to compare it with international studies. In an online survey (08/2020-06/2021), N = 1774 individuals from the German general population (71.5% female; Mage = 41.2 years, SD = 14.2) completed the CSS as well as questionnaires on related constructs and psychopathology. After eight weeks, participants were asked to participate again for the purpose of calculating retest reliability (N = 806). For the German version, the 6-factor structure with good model fit (Root Mean Square Error of Approximation, RMSEA = 0.06) was confirmed, with the six subscales: Danger, Socio-Economic Consequences, Xenophobia, Contamination, Traumatic Stress, and Compulsive Checking. Internal consistencies ranged from ω = .82-.94 (except Compulsive Checking ω = .70), and retest reliability from rtt = .62-.82. Convergent and discriminant validity were confirmed for the German version. Related constructs such as health anxiety, general xenophobia, obsessive-compulsive behavior, and posttraumatic stress disorder symptoms correlated moderately with the respective subscale and lower with the other scales. With anxiety and depression, Traumatic Stress showed the strongest correlation. Overall, there was a high degree of agreement in an international comparison. The CSS can help to identify pandemic-related psychological stress and to derive appropriate interventions.
- Addresses
- Department of Clinical Psychology, Psychotherapy, and Experimental Psychopathology, Johannes Gutenberg-University Mainz, Mainz, Germany.
- Autoren
- Stefanie M Jungmann
- Martina Piefke
- Vincent Nin
- Gordon JG Asmundson
- Michael Witthöft
- DOI
- 10.1371/journal.pone.0279319
- eISSN
- 1932-6203
- Externe Identifier
- PubMed Identifier: 36730324
- PubMed Central ID: PMC9894493
- Open access
- true
- ISSN
- 1932-6203
- Ausgabe der Veröffentlichung
- 2
- Zeitschrift
- PloS one
- Schlüsselwörter
- Humans
- Reproducibility of Results
- Anxiety
- Stress Disorders, Post-Traumatic
- Psychometrics
- Female
- Male
- Surveys and Questionnaires
- COVID-19
- Sprache
- eng
- Medium
- Electronic-eCollection
- Online publication date
- 2023
- Open access status
- Open Access
- Paginierung
- e0279319
- Datum der Veröffentlichung
- 2023
- Status
- Published
- Publisher licence
- CC BY
- Datum der Datenerfassung
- 2023
- Titel
- COVID-19 stress syndrome in the German general population: Validation of a German version of the COVID Stress Scales.
- Sub types
- research-article
- Journal Article
- Ausgabe der Zeitschrift
- 18
Files
https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0279319&type=printable https://europepmc.org/articles/PMC9894493?pdf=render
Datenquelle: Europe PubMed Central
- Abstract
- The COVID Stress Scales (CSS) are a new self-report instrument for multidimensional assessment of psychological stress in the context of the pandemic. The CSS have now been translated and validated in over 20 languages, but a validated German version has not yet been available. Therefore, the aim was to develop a German version of the CSS, to test its factor structure, reliability, and validity, and to compare it with international studies. In an online survey (08/2020-06/2021), N = 1774 individuals from the German general population (71.5% female; Mage = 41.2 years, SD = 14.2) completed the CSS as well as questionnaires on related constructs and psychopathology. After eight weeks, participants were asked to participate again for the purpose of calculating retest reliability (N = 806). For the German version, the 6-factor structure with good model fit (Root Mean Square Error of Approximation, RMSEA = 0.06) was confirmed, with the six subscales: Danger, Socio-Economic Consequences, Xenophobia, Contamination, Traumatic Stress, and Compulsive Checking. Internal consistencies ranged from ω = .82-.94 (except Compulsive Checking ω = .70), and retest reliability from rtt = .62-.82. Convergent and discriminant validity were confirmed for the German version. Related constructs such as health anxiety, general xenophobia, obsessive-compulsive behavior, and posttraumatic stress disorder symptoms correlated moderately with the respective subscale and lower with the other scales. With anxiety and depression, Traumatic Stress showed the strongest correlation. Overall, there was a high degree of agreement in an international comparison. The CSS can help to identify pandemic-related psychological stress and to derive appropriate interventions.
- Date of acceptance
- 2022
- Autoren
- Stefanie M Jungmann
- Martina Piefke
- Vincent Nin
- Gordon JG Asmundson
- Michael Witthöft
- Autoren-URL
- https://www.ncbi.nlm.nih.gov/pubmed/36730324
- DOI
- 10.1371/journal.pone.0279319
- eISSN
- 1932-6203
- Externe Identifier
- PubMed Central ID: PMC9894493
- Ausgabe der Veröffentlichung
- 2
- Zeitschrift
- PLoS One
- Schlüsselwörter
- Humans
- Female
- Male
- COVID-19
- Reproducibility of Results
- Anxiety
- Stress Disorders, Post-Traumatic
- Surveys and Questionnaires
- Psychometrics
- Sprache
- eng
- Country
- United States
- Paginierung
- e0279319
- PII
- PONE-D-22-28279
- Datum der Veröffentlichung
- 2023
- Status
- Published online
- Datum, an dem der Datensatz öffentlich gemacht wurde
- 2023
- Titel
- COVID-19 stress syndrome in the German general population: Validation of a German version of the COVID Stress Scales.
- Sub types
- Journal Article
- Ausgabe der Zeitschrift
- 18
Datenquelle: PubMed
- Author's licence
- CC-BY
- Autoren
- Stefanie M Jungmann
- Martina Piefke
- Vincent Nin
- Gordon JG Aasmundson
- Michael Witthöft
- Hosting institution
- Universitätsbibliothek Mainz
- Sammlungen
- DFG-491381577-G
- Resource version
- Published version
- DOI
- 10.1371/journal.pone.0279319
- Funding acknowledgements
- Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 491381577
- File(s) embargoed
- false
- Open access
- true
- ISSN
- 1932-6203
- Ausgabe der Veröffentlichung
- 2
- Zeitschrift
- PLOS ONE
- Schlüsselwörter
- 150 Psychologie
- 150 Psychology
- Sprache
- eng
- Open access status
- Open Access
- Paginierung
- e0279319
- Datum der Veröffentlichung
- 2023
- Public URL
- https://openscience.ub.uni-mainz.de/handle/20.500.12030/8852
- Herausgeber
- PLOS
- Datum der Datenerfassung
- 2023
- Datum, an dem der Datensatz öffentlich gemacht wurde
- 2023
- Zugang
- Public
- Titel
- COVID-19 stress syndrome in the German general population: Validation of a German version of the COVID Stress Scales
- Ausgabe der Zeitschrift
- 18
Files
covid19_stress_syndrome_in_th-20230222113026170.pdf
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