Evidence map›Paper›PMID 42056987›Full record

ArticleBMC public health2026

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

Peter Lena, Sitarski Emily, Hammann Jasmin, Köhler-Dauner Franziska, Fegert Jörg M, Fegert Jonas

Abstract read
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Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Peter LenaDepartment of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital of Ulm, Steinhövelstraße 5, 89075, Ulm, Germany. lena.peter@uniklinik-ulm.de.
Sitarski EmilyDepartment of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital of Ulm, Steinhövelstraße 5, 89075, Ulm, Germany.
Hammann JasminDepartment of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital of Ulm, Steinhövelstraße 5, 89075, Ulm, Germany.
Köhler-Dauner FranziskaDepartment of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital of Ulm, Steinhövelstraße 5, 89075, Ulm, Germany.
Fegert Jörg MDepartment of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital of Ulm, Steinhövelstraße 5, 89075, Ulm, Germany.
Fegert JonasFZI Research Center for Information Technology, Karlsruhe, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdolescence 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.

methodsThis 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.

resultsOn average, Generation Z reported higher levels of depression and anxiety symptoms compared to older generations across all survey periods (all p < .001). Women reported higher symptom levels than men and employment was associated to lower symptom levels.

conclusionsThe findings indicate persistently elevated levels of self-reported depression and anxiety symptoms among younger respondents, particularly Generation Z. Associations with employment suggest potential avenues for targeted prevention. Cautious interpretation is warranted, given the observational design and potential confounding factors. These results highlight the importance of monitoring mental health trajectories in young populations during periods of societal stress.

Indexed as

AnxietyCOVID-19DepressionAdolescentAdultFemaleGermanyHumansLongitudinal StudiesMaleMiddle AgedYoung AdultAnxietyDepressionGenerational differencesGeneration ZMental healthPrevention

Identifiers

PMID42056987
PMCPMC13130811

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.