Dragano, Nico and Reuter, Marvin and Greiser, Karin Halina and Becher, Heiko and Zeeb, Hajo and Mikolajczyk, Rafael and Kluttig, Alexander and Leitzmann, Michael and Fischer, Beate and Joeckel, Karl-Heinz and Emmel, Carina and Krause, Gerard and Castell, Stefanie and Damms-Machado, Antje and Obi, Nadia and Schikowski, Tamara and Kuss, Oliver and Hoffmann, Wolfgang and Schipf, Sabine and Pischon, Tobias and Jaeschke, Lina and Krist, Lilian and Keil, Thomas and Lieb, Wolfgang and Holleczek, Bernd and Brenner, Hermann and Wirkner, Kerstin and Loeffler, Markus and Michels, Karin B. and Franzke, Claus-Werner and Peters, Annette and Linseisen, Jakob and Berger, Klaus and Legath, Nicole and Ahrens, Wolfgang and Lampert, Thomas and Schmidt, Boerge (2020) Socio-demographic and employment-related factors in the German National Cohort (GNC; NAKO Gesundheitsstudie). BUNDESGESUNDHEITSBLATT-GESUNDHEITSFORSCHUNG-GESUNDHEITSSCHUTZ, 63 (3). pp. 267-278. ISSN 1436-9990, 1437-1588
Full text not available from this repository. (Request a copy)Abstract
Background In epidemiologic studies, standardised measurement of socio-demographic and employment-related factors is becoming increasingly important, as variables such as gender, age, education or employment status are factors influencing health and disease risks. Aims The article gives an overview of the scientific background and assessment of socio-demographic factors in the German National Cohort Study. In addition, the distribution of individual characteristics in the cohort as well as relationships with health-related measures are presented by way of example. Material and methods The analysis is based on the data of the first half of the baseline survey (nx202f;= 101,724). On this basis, we present the distribution of key socio-demographic characteristics and analyse relationships with exemplary selected health indicators (body mass index, self-reported health) to assess the validity of socio-demographic data measurements. Results On average, study participants were 52.0 years old (SDx202f;= 12.4). Of the participants, 53.6% were women, 54.3% had high education, 60.1% were married and 72% were employed while 3.4% were unemployed. Well-established correlations between socio-demographic factors and health could be reproduced with the German National Cohort data. For example, low education, old age and unemployment were associated with an increased prevalence of obesity and poor self-reported health. Discussion The German National Cohort provides a comprehensive measurement of socio-demographic characteristics. Combined with a wide range of health data and the longitudinal measurements available in the future, this opens up new opportunities for health science and social epidemiological research in Germany.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | RISK-FACTORS; HEALTH; INEQUALITIES; German National Cohort; Social epidemiology; Socio-economic position; Social inequality; Body mass index |
| Subjects: | 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Institut für Epidemiologie und Präventivmedizin |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 30 Mar 2021 11:14 |
| Last Modified: | 30 Mar 2021 11:14 |
| URI: | https://pred.uni-regensburg.de/id/eprint/45140 |
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