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2024-05-28Zeitschriftenartikel
Socioeconomic inequalities in pandemic-induced psychosocial stress in different life domains among the working-age population
dc.contributor.authorBeese, Florian
dc.contributor.authorWachtler, Benjamin
dc.contributor.authorGrabka, Markus M.
dc.contributor.authorBlume, Miriam
dc.contributor.authorKersjes, Christina
dc.contributor.authorGutu, Robert
dc.contributor.authorMauz, Elvira
dc.contributor.authorHoebel, Jens
dc.date.accessioned2026-04-20T09:36:47Z
dc.date.available2026-04-20T09:36:47Z
dc.date.issued2024-05-28none
dc.identifier.other10.1186/s12889-024-18874-3
dc.identifier.urihttp://edoc.rki.de/176904/13629
dc.description.abstractBackground: Psychosocial stress is considered a risk factor for physical and mental ill-health. Evidence on socioeconomic inequalities with regard to the psychosocial consequences of the COVID-19 pandemic in Germany is still limited. We aimed to investigate how pandemic-induced psychosocial stress (PIPS) in different life domains differed between socioeconomic groups. Methods: Data came from the German Corona-Monitoring nationwide study – wave 2 (RKI-SOEP-2, November 2021–February 2022). PIPS was assessed using 4-point Likert scales with reference to the following life domains: family, partnership, own financial situation, psychological well-being, leisure activity, social life and work/school situation. Responses were dichotomised into “not stressed/slightly stressed/rather stressed” (0) versus “highly stressed” (1). The sample was restricted to the working-age population in Germany (age = 18–67 years, n = 8,402). Prevalence estimates of high PIPS were calculated by sex, age, education and income. Adjusted prevalence ratios (PRs) were estimated using Poisson regression to investigate the association between education/income and PIPS; high education and income were the reference groups. Results: The highest stress levels were reported in the domains social life and leisure activity. Women and younger participants reported high stress levels more frequently. The highest inequalities were found regarding people’s own financial situation, and PIPS was higher in low vs. high income groups (PR 5.54, 95% CI 3.61–8.52). Inequalities were also found regarding partnerships with higher PIPS in low vs. high education groups (PR 1.68, 95% CI 1.13–2.49) – and psychological well-being with higher PIPS in low vs. high income groups (PR 1.52, 95% CI 1.14–2.04). Conclusion: Socioeconomic inequalities in PIPS were found for different life domains. Generally, psychosocial support and preventive interventions to help people cope with stress in a pandemic context should be target-group-specific, addressing the particular needs and circumstances of certain socioeconomic groups.eng
dc.language.isoengnone
dc.publisherRobert Koch-Institut
dc.rights(CC BY 3.0 DE) Namensnennung 3.0 Deutschlandger
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/de/
dc.subjectSocioeconomic positioneng
dc.subjectPsychosocial stresseng
dc.subjectCOVID-19 pandemiceng
dc.subjectRKI-SOEP-2eng
dc.subjectLife domainseng
dc.subject.ddc610 Medizin und Gesundheitnone
dc.titleSocioeconomic inequalities in pandemic-induced psychosocial stress in different life domains among the working-age populationnone
dc.typearticle
dc.identifier.urnurn:nbn:de:0257-176904/13629-4
dc.type.versionpublishedVersionnone
local.edoc.container-titleBMC Public Healthnone
local.edoc.type-nameZeitschriftenartikel
local.edoc.container-typeperiodical
local.edoc.container-type-nameZeitschrift
local.edoc.container-publisher-nameSpringer Naturenone
local.edoc.container-reportyear2024none
local.edoc.container-firstpage1none
local.edoc.container-lastpage11none
dc.description.versionPeer Reviewednone

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