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Better health, but growing social and health inequalities among young adults in Germany due to educational expansion? A counterfactual mediation analysis

Purpose Based on theoretical and empirical work on the significance of school education for health, this study examines the influence of educational expansion on self-rated health (SRH) and the development of social and health inequalities between educational groups among young adults in Germany. Methods We used data from the German Socio-Economic Panel study from 1995 to 2020, focusing on individuals ...

The relationship between housing and asylum seekers’ mental health: A systematic review

Housing is a post-migration risk factor that impacts asylum seekers' health; however, the way in which housing impacts asylum seekers' mental health has not been systematically examined. This systematic literature review identified 21 studies and analysed the data using narrative synthesis. The review found that poor living conditions adversely impact asylum seekers' mental health with ...

Socio-demographic, health, treatment, and labour market characteristics of sick-listed employees diagnosed with and treated for a mental disorder in Germany

To examine the socio-demographic, health, treatment, organisation, job, and labour market characteristics of 484 German sick-listed employees diagnosed with a mental disorder (MD), along with gender differences. This cross-sectional study used online baseline self-report data from sick-listed employees diagnosed with and treated for a MD, recruited as part of an evaluation trial for a return to work ...

Einkommen und Pflege: Eine Analyse der finanziellen Situation von privat Pflegenden

Im Jahr 2022 haben zirka 5,65 Millionen Menschen in Deutschland ihre Angehörigen gepflegt, zeigen Auswertungen des Sozio-oekonomischen Panels (SOEP). Darunter sind 4,22 Millionen Pflegende im erwerbsfähigen Alter von 18 bis unter 66 Jahren, die oft Pflege, Familie und Beruf miteinander vereinbaren müssen. Die Pflegelasten sind nach Alter und Geschlecht ungleich verteilt, was sich auch in Unterschieden ...

SOEP-Core v41 – LEE2ESTAB: SOEP-LEE2 Employer Survey Data

SOEP-Core v41 – LEE2PERSON: SOEP-LEE2 PID-EID Linkage File

SOEP-Core v41 – PGEN: Person-Related Status and Generated

SOEP-Core v41 – PPATHL: Person-Related Meta-Dataset

SOEP-Core – 2024: Youth (12-17-year-olds, with Reference to Variables)

SOEP-Core v41 – BIOREGION