Logo

Gesundheit gestalten

Deutsche Gesellschaft für Allgemeinmedizin und Familienmedizin (DEGAM), Deutsche Gesellschaft für Sozialmedizin und Prävention (DGSMP), Netzwerk Evidenzbasierte Medizin e.V. (EbM), Deutsche Gesellschaft für Medizinische Soziologie (DGMS)
30.09.2026-02.10.2026
Göttingen

Meeting Abstract

Low income, being without employment, and living alone: how they are associated with cognitive functioning – Results from the German National Cohort (NAKO)

Fransisca-Saveria Rodriguez - German Center for Neurodegenerative Diseases, Psychosocial Epidemiology & Public Health, Deutschland
Susanne Röhr - University of Leipzig, Institute of Social Medicine, Occupational Health and Public Health, Leipzig, Deutschland; Massey University, School of Psychology, Neuseeland; Trinity College Dublin, Global Brain Health Institute, Dublin, Irland
Nico Dragano - University of Düsseldorf, Institute of Medical Sociology, Düsseldorf, Deutschland
Börge Schmidt - University Hospital Essen, Institute of Medical Informatics, Essen, Deutschland
Heiko Becher - University Hospital Heidelberg, Institute of Global Health, Heidelberg, Deutschland
Tamara Schikowski - IUF Leibniz Research Institute for Environmental Medicine, Deutschland
Sylvia Gastell - German Institute of Human Nutrition, Deutschland
Volker Harth - UKE Hamburg, Institute for Occupational and Maritime Medicine, Hamburg, Deutschland
Hanno Hoven - UKE Hamburg, Institute for Occupational and Maritime Medicine, Hamburg, Deutschland
Jakob Linseisen - University of Augsburg, Epidemiology, Augsburg, Deutschland
Karina Halina Greiser - DKFZ Heidelberg, Division of Cancer Epidemiology, Heidelberg, Deutschland
Michael Leitzmann - University of Regensburg, Department of Epidemiology and Preventive Medicine, Regensburg, Deutschland
Patricia Bohmann - University of Regensburg, Department of Epidemiology and Preventive Medicine, Regensburg, Deutschland
Stefanie Castell - Helmholtz Centre for Infection Research, Helmholtz Centre for Infection Research, Deutschland
Jana-Kristin Heise - Helmholtz Centre for Infection Research, Helmholtz Centre for Infection Research, Deutschland
Lilian Krist - Charité Berlin, Institute of Social Medicine, Epidemiology and Health Economics, Berlin, Deutschland
Thomas Keil - Charité Berlin, Institute of Social Medicine, Epidemiology and Health Economics, Berlin, Deutschland; University of Würzburg, Institute of Clinical Epidemiology and Biometry, Würzburg, Deutschland; Bavarian Health and Food Safety Authority, Deutschland
André Karch - University of Münster, Institute of Epidemiology and Social Medicine, Münster, Deutschland
Henning Teismann - University of Münster, Institute of Epidemiology and Social Medicine, Münster, Deutschland
Ilais Moreno Velásquez - Max-Delbrueck-Center for Molecular Medicine, Deutschland
Tobias Pischon - Max-Delbrueck-Center for Molecular Medicine, Deutschland; MDC Biobank Technology Platform, Deutschland; Charité – Universitätsmedizin Berlin, Berlin, Deutschland
Annette Peters - Helmholtz Zentrum München, München, Deutschland; LMU München, München, Deutschland; German Center for Mental Health, Deutschland
Amand Führer - Martin Luther University Halle-Wittenberg, IMEBI, Halle-Wittenberg, Deutschland; German Center for Mental Health, Deutschland
Rafael Mikolajczyk - Martin Luther University Halle-Wittenberg, IMEBI, Halle-Wittenberg, Deutschland; German Center for Mental Health, Deutschland; C-I-R-C, Deutschland
Kathrin Günther - Leibniz Institute for Prevention Research, Deutschland
Tilman Brand - Leibniz Institute for Prevention Research, Deutschland
Claudia Meinke-Franze - University Medicine Greifswald, Institute for Community Medicine, Greifswald, Deutschland
Sabine Schipf - University Medicine Greifswald, Institute for Community Medicine, Greifswald, Deutschland
Hans Grabe - German Center for Neurodegenerative Diseases, Psychosocial Epidemiology & Public Health, Deutschland; Department of Psychiatry and Psychotherapy, Deutschland
Hermann Brenner - DKFZ Heidelberg, Division of Clinical Epidemiology and Aging Research, Heidelberg, Deutschland
Lena Koch-Gallenkamp - DKFZ Heidelberg, Division of Clinical Epidemiology and Aging Research, Heidelberg, Deutschland
Klaus Berger - University of Münster, Institute of Epidemiology and Social Medicine, Münster, Deutschland
Michael Wagner - University Hospital Bonn, Bonn, Deutschland; DZNE Bonn, Bonn, Deutschland
Verena Katzke - DKFZ Heidelberg, Nutrition Epidemiology, Heidelberg, Deutschland
Wolfgang Lieb - Kiel University, Institute of Epidemiology, Kiel, Deutschland
Alexander Pabst - University of Leipzig, Institute of Social Medicine, Occupational Health and Public Health, Leipzig, Deutschland
Steffi Gerlinde Riedel-Heller - University of Leipzig, Institute of Social Medicine, Occupational Health and Public Health, Leipzig, Deutschland

Text

Content: While people with low socioeconomic status tend to have worse cognitive functioning, little is known about the impact of specific socioeconomic conditions. Aim of the present analysis was to investigate to what extent cognitive functioning differs by three socioeconomic conditions: low income, being without employment, and living alone. Participants (N=158,144, age 19–75 years) of the population-based German National Cohort (NAKO) were analyzed. Results from multivariable regression model including the three socioeconomic conditions, age, sex, education, occupational status, having diabetes, hypertension, myocardial infarction, stroke, and depressive symptoms indicated that cognitive functioning was lower in those with low income compared to not having low income, living alone compared to not living alone, and being without employment compared to being employed. An interaction with age indicated that the difference in cognitive functioning was getting larger with age between the income groups and living alone status groups. Accordingly, low income, being without employment, and living alone appear independently associated with poorer cognitive functioning after adjusting for important confounders such as educational and occupational status. As those with low income had the poorest cognitive functioning in old age, it is important to explore how cognitive health in this population group can be improved.

Competing interests: None