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Elevated depression and anxiety symptoms among younger adults in Germany during the post-pandemic period

Peter, Lena ; Sitarsky, Emily; Hammann, Jasmin; Köhler-Dauner, Franziska; Fegert, Jörg M.; Fegert, Jonas 1
1 Institut für Wirtschaftsinformatik (WIN), Karlsruher Institut für Technologie (KIT)

Abstract:

Background
Adolescence and early adulthood are crucial periods marked by identity formation and increased vulnerability to mental health issues, with most mental disorders beginning before the age of 25. Today’s youth face amplified risks during a period characterized by multiple societal crises like the COVID-19 pandemic, climate change and economic instability, potentially disrupting age-typical developmental tasks and contributing to rising rates of anxiety and depression. This study aimed to investigate longitudinal patterns of anxiety and depression symptoms across four generational cohorts.

Methods
This study drew on data from the German subsample of the ongoing “SOSEC – Social Sentiment in Times of Crises” project. In total, 25,143 individuals contributed 112,858 survey entries, responding to items on depression and anxiety symptoms based on modified versions of the PHQ-9 and GAD-2. Generational groups were defined based on year of birth (Generation Z: 1995–2007; Generation Y: 1980–1994; Generation X: 1965–1979; Baby Boomers/Traditionalists: 1925–1964). Linear mixed-effects models were used to examine associations of generation, survey period, gender and employment status with reported symptom levels, including interaction terms and post-hoc comparisons.
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Verlagsausgabe §
DOI: 10.5445/IR/1000193016
Veröffentlicht am 07.05.2026
Originalveröffentlichung
DOI: 10.1186/s12889-026-27600-0
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Wirtschaftsinformatik (WIN)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 01.05.2026
Sprache Englisch
Identifikator ISSN: 1471-2458
KITopen-ID: 1000193016
Erschienen in BMC Public Health
Verlag Springer Fachmedien Wiesbaden
Band 26
Seiten Art.-Nr.: 1420
Vorab online veröffentlicht am 30.04.2026
Schlagwörter Generational differences, Generation Z, Mental health, Depression, Anxiety, Prevention
Nachgewiesen in OpenAlex
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