Socio-demographic and employment-related factors in the German National Cohort (GNC; NAKO Gesundheitsstudie)
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Socio-demographic and employment-related factors in the German National Cohort (GNC; NAKO Gesundheitsstudie). / Dragano, Nico; Reuter, Marvin; Greiser, Karin Halina; Becher, Heiko; Zeeb, Hajo; Mikolajczyk, Rafael; Kluttig, Alexander; Leitzmann, Michael; Fischer, Beate; Jöckel, Karl-Heinz; Emmel, Carina; Krause, Gérard; Castell, Stefanie; Damms-Machado, Antje; Obi, Nadia; Schikowski, Tamara; Kuss, Oliver; Hoffmann, Wolfgang; Schipf, Sabine; Pischon, Tobias; Jaeschke, Lina; Krist, Lilian; Keil, Thomas; Lieb, Wolfgang; Holleczek, Bernd; Brenner, Hermann; Wirkner, Kerstin; Loeffler, Markus; Michels, Karin B; Franzke, Claus-Werner; Peters, Annette; Linseisen, Jakob; Berger, Klaus; Legath, Nicole; Ahrens, Wolfgang; Lampert, Thomas; Schmidt, Börge.
In: BUNDESGESUNDHEITSBLA, Vol. 63, No. 3, 03.2020, p. 267-278.Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review
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TY - JOUR
T1 - Socio-demographic and employment-related factors in the German National Cohort (GNC; NAKO Gesundheitsstudie)
AU - Dragano, Nico
AU - Reuter, Marvin
AU - Greiser, Karin Halina
AU - Becher, Heiko
AU - Zeeb, Hajo
AU - Mikolajczyk, Rafael
AU - Kluttig, Alexander
AU - Leitzmann, Michael
AU - Fischer, Beate
AU - Jöckel, Karl-Heinz
AU - Emmel, Carina
AU - Krause, Gérard
AU - Castell, Stefanie
AU - Damms-Machado, Antje
AU - Obi, Nadia
AU - Schikowski, Tamara
AU - Kuss, Oliver
AU - Hoffmann, Wolfgang
AU - Schipf, Sabine
AU - Pischon, Tobias
AU - Jaeschke, Lina
AU - Krist, Lilian
AU - Keil, Thomas
AU - Lieb, Wolfgang
AU - Holleczek, Bernd
AU - Brenner, Hermann
AU - Wirkner, Kerstin
AU - Loeffler, Markus
AU - Michels, Karin B
AU - Franzke, Claus-Werner
AU - Peters, Annette
AU - Linseisen, Jakob
AU - Berger, Klaus
AU - Legath, Nicole
AU - Ahrens, Wolfgang
AU - Lampert, Thomas
AU - Schmidt, Börge
PY - 2020/3
Y1 - 2020/3
N2 - 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 (n = 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 (SD = 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.
AB - 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 (n = 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 (SD = 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.
KW - Cohort Studies
KW - Employment
KW - Female
KW - Germany
KW - Health Status
KW - Humans
KW - Male
KW - Middle Aged
KW - Socioeconomic Factors
KW - Unemployment
U2 - 10.1007/s00103-020-03098-8
DO - 10.1007/s00103-020-03098-8
M3 - SCORING: Zeitschriftenaufsatz
C2 - 32034444
VL - 63
SP - 267
EP - 278
JO - BUNDESGESUNDHEITSBLA
JF - BUNDESGESUNDHEITSBLA
SN - 1436-9990
IS - 3
ER -
