SSOAR Logo
    • Deutsch
    • English
  • Deutsch 
    • Deutsch
    • English
  • Einloggen
SSOAR ▼
  • Home
  • Über SSOAR
  • Leitlinien
  • Veröffentlichen auf SSOAR
  • Kooperieren mit SSOAR
    • Kooperationsmodelle
    • Ablieferungswege und Formate
    • Projekte
  • Kooperationspartner
    • Informationen zu Kooperationspartnern
  • Informationen
    • Möglichkeiten für den Grünen Weg
    • Vergabe von Nutzungslizenzen
    • Informationsmaterial zum Download
  • Betriebskonzept
Browsen und suchen Dokument hinzufügen OAI-PMH-Schnittstelle
JavaScript is disabled for your browser. Some features of this site may not work without it.

Download PDF
Volltext herunterladen

(1.254 MB)

Zitationshinweis

Bitte beziehen Sie sich beim Zitieren dieses Dokumentes immer auf folgenden Persistent Identifier (PID):
https://nbn-resolving.org/urn:nbn:de:0168-ssoar-103941-0

Export für Ihre Literaturverwaltung

Bibtex-Export
Endnote-Export

Statistiken anzeigen
Weiterempfehlen
  • Share via E-Mail E-Mail
  • Share via Facebook Facebook
  • Share via Bluesky Bluesky
  • Share via Reddit reddit
  • Share via Linkedin LinkedIn
  • Share via XING XING

Dealing with the challenges of the pandemic - results of a population-based survey during the second year of the COVID-19 pandemic contrasting benefits and burden

[Zeitschriftenartikel]

Geprägs, Alina
Bürgin, David
Fegert, Jörg M.
Brähler, Elmar
Clemens, Vera

Abstract

Background: The pandemic and the associated consequences have been ongoing stressors with severe impacts on the population and particularly on families. Research focusing on groups dealing well with the challenges of the pandemic is scarce. Here, we aimed to identify groups being well-adjusted durin... mehr

Background: The pandemic and the associated consequences have been ongoing stressors with severe impacts on the population and particularly on families. Research focusing on groups dealing well with the challenges of the pandemic is scarce. Here, we aimed to identify groups being well-adjusted during the pandemic and associated predictors. Methods: A representative sample of the German population (N=2,515, 51.6% women, 50.09 years), and a subsample of persons with children or adolescents under the age of 18 (N=453, 60.3% women, 40.08 years) was assessed from July to October 2021. As huge differences in coping with the pandemic are seen, cluster analysis was performed. Results: Persons in the "well-adjusted cluster" were characterized by higher quality of life, better coping with the pandemic and lower burden of the pandemic. The family subsample well-adjusted cluster was characterized by lower pandemic-associated burden, lower parental stress compared to before the pandemic and a better relationship with the child. Fewer mental health symptoms and less pandemic-associated negative impact on career predicted membership of the well-adjusted cluster in both samples. An interaction between mental health symptoms and the negative impact of COVID-19 on the career was found. Conclusions: Our results underscore the importance of mental health and work-related factors for coping with the pandemic.... weniger

Thesaurusschlagwörter
Lebensqualität; psychische Gesundheit; Lebenszufriedenheit; Familie; Problembewältigung; Epidemie

Klassifikation
Medizinsoziologie

Freie Schlagwörter
Covid-19 pandemic; Family functioning; Parental stress; Mental health problems; Kurzskala zur Erfassung der Allgemeinen Lebenszufriedenheit (L-1) (ZIS 229, doi:10.6102/zis229)

Sprache Dokument
Englisch

Publikationsjahr
2024

Seitenangabe
S. 1-10

Zeitschriftentitel
BMC Public Health, 24 (2024)

DOI
https://doi.org/10.1186/s12889-024-19203-4

ISSN
1471-2458

Status
Veröffentlichungsversion; begutachtet (peer reviewed)

Lizenz
Creative Commons - Namensnennung 4.0


GESIS LogoDFG LogoOpen Access Logo
Home  |  Impressum  |  Betriebskonzept  |  Datenschutzerklärung
© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.
 

 


GESIS LogoDFG LogoOpen Access Logo
Home  |  Impressum  |  Betriebskonzept  |  Datenschutzerklärung
© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.