The baseline examinations of the German National Cohort (NAKO): recruitment protocol, response, and weighting
The German National Cohort (NAKO) is the largest population-based epidemiologic cohort study in Germany and investigates the causes of the most common chronic diseases. Between 2014 and 2019, a total of 1.3 million residents aged 20-69 years from 16 German regions were randomly selected from the gen...
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| Hauptverfasser: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
22 April 2025
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| In: |
European journal of epidemiology
Year: 2025, Jahrgang: 40, Heft: 4, Pages: 475-489 |
| ISSN: | 1573-7284 |
| DOI: | 10.1007/s10654-025-01219-8 |
| Online-Zugang: | Resolving-System, kostenfrei, Volltext: https://doi.org/10.1007/s10654-025-01219-8 Verlag, kostenfrei, Volltext: https://link.springer.com/article/10.1007/s10654-025-01219-8 Resolving-System, kostenfrei, Volltext: https://doi.org/10.25673/119345 
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| Verfasserangaben: | Stefan Rach, Matthias Sand, Achim Reineke, Heiko Becher, Karin Halina Greiser, Kathrin Wolf, Kerstin Wirkner, Carsten Oliver Schmidt, Sabine Schipf, Karl-Heinz Jöckel, Lilian Krist, Wolfgang Ahrens, Hermann Brenner, Stefanie Castell, Sylvia Gastell, Volker Harth, Bernd Holleczek, Till Ittermann, Stefan Janisch-Fabian, André Karch, Thomas Keil, Carolina J. Klett-Tammen, Alexander Kluttig, Oliver Kuß, Michael Leitzmann, Wolfgang Lieb, Claudia Meinke-Franze, Karin B. Michels, Rafael Mikolajczyk, Ilais Moreno Velásquez, Nadia Obi, Cara Övermöhle, Annette Peters, Tobias Pischon, Susanne Rospleszcz, Börge Schmidt, Matthias B. Schulze, Andreas Stang, Henning Teismann, Christine Töpfer, Robert Wolff, Kathrin Günther |
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| 245 | 1 | 4 | |a The baseline examinations of the German National Cohort (NAKO) |b recruitment protocol, response, and weighting |c Stefan Rach, Matthias Sand, Achim Reineke, Heiko Becher, Karin Halina Greiser, Kathrin Wolf, Kerstin Wirkner, Carsten Oliver Schmidt, Sabine Schipf, Karl-Heinz Jöckel, Lilian Krist, Wolfgang Ahrens, Hermann Brenner, Stefanie Castell, Sylvia Gastell, Volker Harth, Bernd Holleczek, Till Ittermann, Stefan Janisch-Fabian, André Karch, Thomas Keil, Carolina J. Klett-Tammen, Alexander Kluttig, Oliver Kuß, Michael Leitzmann, Wolfgang Lieb, Claudia Meinke-Franze, Karin B. Michels, Rafael Mikolajczyk, Ilais Moreno Velásquez, Nadia Obi, Cara Övermöhle, Annette Peters, Tobias Pischon, Susanne Rospleszcz, Börge Schmidt, Matthias B. Schulze, Andreas Stang, Henning Teismann, Christine Töpfer, Robert Wolff, Kathrin Günther |
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| 520 | |a The German National Cohort (NAKO) is the largest population-based epidemiologic cohort study in Germany and investigates the causes of the most common chronic diseases. Between 2014 and 2019, a total of 1.3 million residents aged 20-69 years from 16 German regions were randomly selected from the general population and invited to participate following a highly standardized recruitment protocol. The overall response was 15.6% and differed considerably across study centers (7.6-30.7%). Females were more likely to participate than males (17.5% vs. 14.1%) and participation increased with age (10.2% in age group “ < 29 years” up to 20.7% in age group “ > 60 years”). Across all study regions, response was highest in rural areas (22.3%), followed by towns and suburbs (17.2%), and was lowest in cities (14.5%). Compared with the general population in the respective study regions, participants with low and medium education are underrepresented in the NAKO sample, while highly educated participants are overrepresented. Participants with non-German nationality and with a migration background are also underrepresented. Participants living in single households are underrepresented, while participants from larger households (2 or more persons) are overrepresented compared to the general population. Survey weights are made available to researchers along with the study data that account for the sampling design and adjust for differences in the distribution of age, sex, nationality (German vs. non-German), migration status, education, and household size. | ||
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