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7 results on '"Klüppelholz, Birgit"'

1. Erweiterte Responseanalyse: Gegenüberstellung von befragten und übrigen Versicherten in einer populationsbasierten prospektiven Beobachtungsstudie zu proximalen Femurfrakturen in der älteren Bevölkerung

Author

Andrich, Silke, Gontscharuk, Veronika, Brunoni, Cecilia, Ritschel, Michaela, Anheier, Daniela, Meyer, Gabriele, Klüppelholz, Birgit, Haastert, Burkhard, Arend, Werner, Pöggel-Krämer, Katja, Jaekel, Carina, Thelen, Simon, Windolf, Joachim, Hoffmann, Falk, and Icks, Andrea

Subjects
ddc: 610, Medicine and health
Abstract

Hintergrund und Stand (inter)nationaler Forschung: Ein wichtiges Ziel in populationsbasierten Studien ist eine möglichst wenig verzerrte Teilnahme und ein bestmöglicher Einbezug der Bezugspopulation. Im Rahmen einer klassischen Nonresponderanalyse werden Merkmale der Teilnehmer und Nichtteilnehmer [zum vollständigen Text gelangen Sie über die oben angegebene URL]

Published
2022
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2. Framework and baseline examination of the German National Cohort (NAKO)

Author

Peters, Annette Michael, Greiser, Karin Halina, Göttlicher, Susanne, Ahrens, Wolfgang P., Albrecht, Maren, Bamberg, Fabian, Bärnighausen, Till Winfried, Becher, Heiko, Berger, Klaus, Beule, Achim, Boeing, Heiner, Bohn, Barbara, Bohnert, Kerstin, Braun, Bettina, Brenner, Hermann, Bülow, Robin, Castell, Stefanie, Damms-Machado, Antje, Dörr, Marcus, Ebert, Nina J., Ecker, Margit, Emmel, Carina, Fischer, Beate, Franzke, Claus Werner, Gastell, Sylvia, Giani, Guido, Günther, Matthias, Günther, Kathrin, Günther, Klaus Peter, Haerting, Johannes, Haug, Ulrike, Heid, Iris M., Heier, Margit, Heinemeyer, Diana, Hendel, Thomas, Herbolsheimer, Florian, Hirsch, Jochen Gunther, Hoffmann, Wolfgang U., Holleczek, Bernd, Hólling, Heike, Hörlein, Andreas J., Jöckel, Karl Heinz, Kaaks, Rudolf J., Karch, André, Karrasch, Stefan, Kartschmit, Nadja, Kauczor, Hans Ulrich, Keil, Thomas, Kemmling, Yvonne, Klee, Bianca, Klüppelholz, Birgit, Kluttig, Alexander, Kofink, Lisa, Köttgen, Anna, Kraft, Daniel, Krause, Gérard, Kretz, Lisa, Krist, Lilian, Kühnisch, Jan, Kuß, Oliver, Legath, Nicole, Lehnich, Anna Therese, Leitzmann, Michael Fred, Lieb, Wolfgang, Linseisen, Jakob P., Loeffler, Markus, Macdonald, Anke, Maier-Hein, Klaus Hermann Fritzsche, Mangold, Nina, Meinke-Franze, Claudia, Meisinger, Christa, Melzer, Juliane, Mergarten, Bjöorn, Michels, Karin B., Mikolajczyk, Rafael T., Moebus, Susanne, Mueller, Ulrich Otto, Nauck, Matthias A., Niendorf, Thoralf, Nikolaou, Konstantin, Obi, Nadia, Ostrzinski, Stefan, Panreck, Leo, Pigeot, Iris, Pischon, Tobias, Pschibul-Thamm, Irene, Rathmann, Wolfgang G., Reineke, Achim, Roloff, Stefanie, Rujescu, Dan, Rupf, Stefan, Sander, Oliver, Schikowski, Tamara, Schipf, Sabine M., Schirmacher, Peter, Schlett, Christopher L., Schmidt, Börge, Schmidt, Georg D., Schmidt, Martin, Schöne, Gina, and Publica

Subjects
Magnetic resonance imaging, Epidemiology, Life-style and socio-economic factors, Psychosocial factors, Functional impairments, Population-based cohort, Non-communicable diseases, Communicable diseases, Pre-clinical disease
Abstract

The German National Cohort (NAKO) is a multidisciplinary, population-based prospective cohort study that aims to investigate the causes of widespread diseases, identify risk factors and improve early detection and prevention of disease. Specifically, NAKO is designed to identify novel and better characterize established risk and protection factors for the development of cardiovascular diseases, cancer, diabetes, neurodegenerative and psychiatric diseases, musculoskeletal diseases, respiratory and infectious diseases in a random sample of the general population. Between 2014 and 2019, a total of 205,415 men and women aged 19–74 years were recruited and examined in 18 study centres in Germany. The baseline assessment included a face-to-face interview, self-administered questionnaires and a wide range of biomedical examinations. Biomaterials were collected from all participants including serum, EDTA plasma, buffy coats, RNA and erythrocytes, urine, saliva, nasal swabs and stool. In 56,971 participants, an intensified examination programme was implemented. Whole-body 3T magnetic resonance imaging was performed in 30,861 participants on dedicated scanners. NAKO collects follow-up information on incident diseases through a combination of active follow-up using self-report via written questionnaires at 2–3 year intervals and passive follow-up via record linkages. All study participants are invited for re-examinations at the study centres in 4–5 year intervals. Thereby, longitudinal information on changes in risk factor profiles and in vascular, cardiac, metabolic, neurocognitive, pulmonary and sensory function is collected. NAKO is a major resource for population-based epidemiology to identify new and tailored strategies for early detection, prediction, prevention and treatment of major diseases for the next 30 years.

Published
2022

3. Framework and baseline examination of the German National Cohort (NAKO)

Author

Peters, Annette, Greiser, Karin Halina, Göttlicher, Susanne, Martins, Filipe, Albrecht, Maren, Bamberg, Fabian, Bäringhausen, Till, Becher, Heiko, Berger, Klaus, Beule, Achim, Boeing, Heiner, Bohn, Barbara, Bohnert, Kerstin, Braun, Bettina, Brenner, Hermann, Bülow, Robin, Castell, Stefanie, Damms-Machado, Antje, Dörr, Marcus, Ebert, Nina, Ecker, Margit, Emmel, Carina, Fischer, Beate, Franzke, Claus-Werner, Gastell, Sylvia, Giani, Guido, Günther, Matthias, Günther, Kathrin, Günther, Klaus-Peter, Haerting, Johannes, Haug, Ulrike, Heid, Iris, Heier, Margit, Heinemeyer, Diana, Hendel, Thomas, Herbolsheimer, Florian, Hirsch, Jochen, Hoffmann, Wolfgang, Holleczek, Bernd, Hölling, Heike, Hörlein, Andreas, Jöckel, Karl-Heinz, Kaaks, Rudolf, Karch, André, Karrasch, Stefan, Kartschmit, Nadja, Kauczor, Hans-Ulrich, Keil, Thomas, Kemmling, Yvonne, Klee, Bianca, Klüppelholz, Birgit, Kluttig, Alexander, Kofink, Lisa, Köttgen, Anna, Kraft, Daniel, Krause, Gérard, Kretz, Lisa, Krist, Lilian, Kühnisch, Jan, Kuß, Oliver, Legath, Nicole, Lehnich, Anna-Therese, Leitzmann, Michael, Lieb, Wolfgang, Linseisen, Jakob, Löffler, Markus, Macdonald, Anke, Maier-Hein, Klaus, Mangold, Nina, Meinke-Franze, Claudia, Meisinger, Christa, Melzer, Juliane, Mergarten, Björn, Michels, Karin, Mikolajczyk, Rafael, Moebus, Susanne, Mueller, Ulrich, Nauck, Matthias, Niendorf, Thoralf, Nikolaou, Konstantin, Obi, Nadia, Ostrzinski, Stefan, Panreck, Leo, Pigeot, Iris, Pischon, Tobias, Pschibul-Thamm, Irene, Rathmann, Wolfgang, Reineke, Achim, Roloff, Stefanie, Rujescu, Dan, Rupf, Stefan, Sander, Oliver, Schikowski, Tamara, Schipf, Sabine, Schirmacher, Peter, Schlett, Christopher L., Schmidt, Börge, Schmidt, Georg, Schmidt, Martin, Schöne, Gina, Schulz, Holger, Schulze, Matthias B., Schweig, Alexandra, Sedlmeier, Anja M., Selder, Sonja, Six-Merker, Julia, Sowade, Ramona, Stang, Andreas, Stegle, Oliver, Steindorf, Karen, Stübs, Gunthard, Swart, Enno, Teismann, Henning, Thiele, Inke, Thierry, Sigrid, Ueffing, Marius, Völzke, Henry, Waniek, Sabina, Weber, Andrea, Werner, Nicole, Wichmann, Heinz-Erich, Willich, Stefan N., Wirkner, Kerstin, Wolf, Kathrin, Wolff, Robert, Zeeb, Hajo, Zinkhan, Melanie, Zschocke, Johannes, and The German National Cohort (NAKO) Consortium

Subjects
Male, Epidemiology, Medizin, Communicable diseases, Functional impairments, Life-style and socio-economic factors, Pre-clinical disease, Magnetic resonance imaging, Non-communicable diseases, Population-based cohort, Psychosocial factors, Cohort Studies, Cardiovascular and Metabolic Diseases, Germany, Surveys and Questionnaires, Humans, Female, ddc:610, Prospective Studies, Self Report, Technology Platforms, Communicable Diseases, Functional Impairments, Life-style And Socio-economic Factors, Magnetic Resonance Imaging, Non-communicable Diseases, Population-based Cohort, Pre-clinical Disease, Psychosocial Factors
Abstract

The German National Cohort (NAKO) is a multidisciplinary, population-based prospective cohort study that aims to investigate the causes of widespread diseases, identify risk factors and improve early detection and prevention of disease. Specifically, NAKO is designed to identify novel and better characterize established risk and protection factors for the development of cardiovascular diseases, cancer, diabetes, neurodegenerative and psychiatric diseases, musculoskeletal diseases, respiratory and infectious diseases in a random sample of the general population. Between 2014 and 2019, a total of 205,415 men and women aged 19–74 years were recruited and examined in 18 study centres in Germany. The baseline assessment included a face-to-face interview, self-administered questionnaires and a wide range of biomedical examinations. Biomaterials were collected from all participants including serum, EDTA plasma, buffy coats, RNA and erythrocytes, urine, saliva, nasal swabs and stool. In 56,971 participants, an intensified examination programme was implemented. Whole-body 3T magnetic resonance imaging was performed in 30,861 participants on dedicated scanners. NAKO collects follow-up information on incident diseases through a combination of active follow-up using self-report via written questionnaires at 2–3 year intervals and passive follow-up via record linkages. All study participants are invited for re-examinations at the study centres in 4–5 year intervals. Thereby, longitudinal information on changes in risk factor profiles and in vascular, cardiac, metabolic, neurocognitive, pulmonary and sensory function is collected. NAKO is a major resource for population-based epidemiology to identify new and tailored strategies for early detection, prediction, prevention and treatment of major diseases for the next 30 years.

Published
2022

4. Erfahrungen von beteiligten Leistungserbringenden in Versorgungsprozessen zur Nachsorge für Frauen mit Gestationsdiabetes - erste Ergebnisse einer qualitativen Befragung im Rahmen der Studie GestDiNa_basic

Author

Warth, Jacqueline, Leve, Verena, Adamczewski, Heinke, Ensenauer, Regina, Fehm, Tanja, Greiner, Gregory Gordon, Gräfe, Viola, Hollmann, Tim, Ihle, Peter, Jüngling, Ute, Kaltheuner, Matthias, Kerres, Thomas, Klüppelholz, Birgit, Kuß, Oliver, Lange, Ute, Lappe, Veronika, Linnenkamp, Ute, Meyer, Frank, Müller-Bößmann, Dorit, Ptushkina, Violetta, Rupprecht, Christoph, Schellhammer, Stefanie, Schmitz-Losem, Imke, Schneider, Martin, Schumacher, Liesa, Tamayo, Miguel, Viehmann, Anja, Westerhoff, Benjamin, Wilm, Stefan, Icks, Andrea, and GestDiNa_basic, Projektgruppe

Subjects
ddc: 610, Medicine and health
Abstract

Hintergrund: Gestationsdiabetes (GDM) ist eine Komplikation während der Schwangerschaft. Je nach Datenbasis und Definition schwankt die Prävalenz zwischen 4% und 20%. In den meisten Fällen reguliert sich der Blutzuckerspiegel zwar nach der Geburt, jedoch zeigen epidemiologische [zum vollständigen Text gelangen Sie über die oben angegebene URL]

Published
2021

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