Framework and baseline examination of the German National Cohort (NAKO)
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 b...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Peters, Annette [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s) 2022 |
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| Übergeordnetes Werk: |
Enthalten in: European journal of epidemiology - [Cham] : Springer Nature Switzerland AG, 1985, 37(2022), 10 vom: Okt., Seite 1107-1124 |
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| Übergeordnetes Werk: |
volume:37 ; year:2022 ; number:10 ; month:10 ; pages:1107-1124 |
| Links: |
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| DOI / URN: |
10.1007/s10654-022-00890-5 |
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| Katalog-ID: |
SPR048517623 |
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| 100 | 1 | |a Peters, Annette |e verfasserin |0 (orcid)0000-0001-6645-0985 |4 aut | |
| 245 | 1 | 0 | |a Framework and baseline examination of the German National Cohort (NAKO) |
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| 520 | |a 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. | ||
| 650 | 4 | |a Population-based cohort |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Non-communicable diseases |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Communicable diseases |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Epidemiology |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Life-style and socio-economic factors |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Magnetic resonance imaging |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Pre-clinical disease |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Functional impairments |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Psychosocial factors |7 (dpeaa)DE-He213 | |
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| 700 | 1 | |a Greiser, Karin Halina |4 aut | |
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| 700 | 1 | |a Albrecht, Maren |4 aut | |
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10.1007/s10654-022-00890-5 doi (DE-627)SPR048517623 (SPR)s10654-022-00890-5-e DE-627 ger DE-627 rakwb eng Peters, Annette verfasserin (orcid)0000-0001-6645-0985 aut Framework and baseline examination of the German National Cohort (NAKO) 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 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. Population-based cohort (dpeaa)DE-He213 Non-communicable diseases (dpeaa)DE-He213 Communicable diseases (dpeaa)DE-He213 Epidemiology (dpeaa)DE-He213 Life-style and socio-economic factors (dpeaa)DE-He213 Magnetic resonance imaging (dpeaa)DE-He213 Pre-clinical disease (dpeaa)DE-He213 Functional impairments (dpeaa)DE-He213 Psychosocial factors (dpeaa)DE-He213 Peters, Annette aut Greiser, Karin Halina aut Göttlicher, Susanne aut Ahrens, Wolfgang aut Albrecht, Maren aut Bamberg, Fabian aut Bärnighausen, Till aut Becher, Heiko aut Berger, Klaus aut Beule, Achim aut Boeing, Heiner aut Bohn, Barbara aut Bohnert, Kerstin aut Braun, Bettina aut Brenner, Hermann aut Bülow, Robin aut Castell, Stefanie aut Damms-Machado, Antje aut Dörr, Marcus aut Ebert, Nina aut Ecker, Margit aut Emmel, Carina aut Fischer, Beate aut Franzke, Claus-Werner aut Gastell, Sylvia aut Giani, Guido aut Günther, Matthias aut Günther, Kathrin aut Günther, Klaus-Peter aut Haerting, Johannes aut Haug, Ulrike aut Heid, Iris M. aut Heier, Margit aut Heinemeyer, Diana aut Hendel, Thomas aut Herbolsheimer, Florian aut Hirsch, Jochen aut Hoffmann, Wolfgang aut Holleczek, Bernd aut Hölling, Heike aut Hörlein, Andreas aut Jöckel, Karl-Heinz aut Kaaks, Rudolf aut Karch, André aut Karrasch, Stefan aut Kartschmit, Nadja aut Kauczor, Hans-Ulrich aut Keil, Thomas aut Kemmling, Yvonne aut Klee, Bianca aut Klüppelholz, Birgit aut Kluttig, Alexander aut Kofink, Lisa aut Köttgen, Anna aut Kraft, Daniel aut Krause, Gérard aut Kretz, Lisa aut Krist, Lilian aut Kühnisch, Jan aut Kuß, Oliver aut Legath, Nicole aut Lehnich, Anna-Therese aut Leitzmann, Michael aut Lieb, Wolfgang aut Linseisen, Jakob aut Loeffler, Markus aut Macdonald, Anke aut Maier-Hein, Klaus H. aut Mangold, Nina aut Meinke-Franze, Claudia aut Meisinger, Christa aut Melzer, Juliane aut Mergarten, Björn aut Michels, Karin B. aut Mikolajczyk, Rafael aut Moebus, Susanne aut Mueller, Ulrich aut Nauck, Matthias aut Niendorf, Thoralf aut Nikolaou, Konstantin aut Obi, Nadia aut Ostrzinski, Stefan aut Panreck, Leo aut Pigeot, Iris aut Pischon, Tobias aut Pschibul-Thamm, Irene aut Rathmann, Wolfgang aut Reineke, Achim aut Roloff, Stefanie aut Rujescu, Dan aut Rupf, Stefan aut Sander, Oliver aut Schikowski, Tamara aut Schipf, Sabine aut Schirmacher, Peter aut Schlett, Christopher L. aut Schmidt, Börge aut Schmidt, Georg aut Schmidt, Martin aut Schöne, Gina aut Schulz, Holger aut Schulze, Matthias B. aut Schweig, Alexandra aut Sedlmeier, Anja M. aut Selder, Sonja aut Six-Merker, Julia aut Sowade, Ramona aut Stang, Andreas aut Stegle, Oliver aut Steindorf, Karen aut Stübs, Gunthard aut Swart, Enno aut Teismann, Henning aut Thiele, Inke aut Thierry, Sigrid aut Ueffing, Marius aut Völzke, Henry aut Waniek, Sabina aut Weber, Andrea aut Werner, Nicole aut Wichmann, H.-Erich aut Willich, Stefan N. aut Wirkner, Kerstin aut Wolf, Kathrin aut Wolff, Robert aut Zeeb, Hajo aut Zinkhan, Melanie aut Zschocke, Johannes aut Enthalten in European journal of epidemiology [Cham] : Springer Nature Switzerland AG, 1985 37(2022), 10 vom: Okt., Seite 1107-1124 (DE-627)320441636 (DE-600)2004992-4 1573-7284 nnns volume:37 year:2022 number:10 month:10 pages:1107-1124 https://dx.doi.org/10.1007/s10654-022-00890-5 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_252 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2943 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 AR 37 2022 10 10 1107-1124 |
| spelling |
10.1007/s10654-022-00890-5 doi (DE-627)SPR048517623 (SPR)s10654-022-00890-5-e DE-627 ger DE-627 rakwb eng Peters, Annette verfasserin (orcid)0000-0001-6645-0985 aut Framework and baseline examination of the German National Cohort (NAKO) 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 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. Population-based cohort (dpeaa)DE-He213 Non-communicable diseases (dpeaa)DE-He213 Communicable diseases (dpeaa)DE-He213 Epidemiology (dpeaa)DE-He213 Life-style and socio-economic factors (dpeaa)DE-He213 Magnetic resonance imaging (dpeaa)DE-He213 Pre-clinical disease (dpeaa)DE-He213 Functional impairments (dpeaa)DE-He213 Psychosocial factors (dpeaa)DE-He213 Peters, Annette aut Greiser, Karin Halina aut Göttlicher, Susanne aut Ahrens, Wolfgang aut Albrecht, Maren aut Bamberg, Fabian aut Bärnighausen, Till aut Becher, Heiko aut Berger, Klaus aut Beule, Achim aut Boeing, Heiner aut Bohn, Barbara aut Bohnert, Kerstin aut Braun, Bettina aut Brenner, Hermann aut Bülow, Robin aut Castell, Stefanie aut Damms-Machado, Antje aut Dörr, Marcus aut Ebert, Nina aut Ecker, Margit aut Emmel, Carina aut Fischer, Beate aut Franzke, Claus-Werner aut Gastell, Sylvia aut Giani, Guido aut Günther, Matthias aut Günther, Kathrin aut Günther, Klaus-Peter aut Haerting, Johannes aut Haug, Ulrike aut Heid, Iris M. aut Heier, Margit aut Heinemeyer, Diana aut Hendel, Thomas aut Herbolsheimer, Florian aut Hirsch, Jochen aut Hoffmann, Wolfgang aut Holleczek, Bernd aut Hölling, Heike aut Hörlein, Andreas aut Jöckel, Karl-Heinz aut Kaaks, Rudolf aut Karch, André aut Karrasch, Stefan aut Kartschmit, Nadja aut Kauczor, Hans-Ulrich aut Keil, Thomas aut Kemmling, Yvonne aut Klee, Bianca aut Klüppelholz, Birgit aut Kluttig, Alexander aut Kofink, Lisa aut Köttgen, Anna aut Kraft, Daniel aut Krause, Gérard aut Kretz, Lisa aut Krist, Lilian aut Kühnisch, Jan aut Kuß, Oliver aut Legath, Nicole aut Lehnich, Anna-Therese aut Leitzmann, Michael aut Lieb, Wolfgang aut Linseisen, Jakob aut Loeffler, Markus aut Macdonald, Anke aut Maier-Hein, Klaus H. aut Mangold, Nina aut Meinke-Franze, Claudia aut Meisinger, Christa aut Melzer, Juliane aut Mergarten, Björn aut Michels, Karin B. aut Mikolajczyk, Rafael aut Moebus, Susanne aut Mueller, Ulrich aut Nauck, Matthias aut Niendorf, Thoralf aut Nikolaou, Konstantin aut Obi, Nadia aut Ostrzinski, Stefan aut Panreck, Leo aut Pigeot, Iris aut Pischon, Tobias aut Pschibul-Thamm, Irene aut Rathmann, Wolfgang aut Reineke, Achim aut Roloff, Stefanie aut Rujescu, Dan aut Rupf, Stefan aut Sander, Oliver aut Schikowski, Tamara aut Schipf, Sabine aut Schirmacher, Peter aut Schlett, Christopher L. aut Schmidt, Börge aut Schmidt, Georg aut Schmidt, Martin aut Schöne, Gina aut Schulz, Holger aut Schulze, Matthias B. aut Schweig, Alexandra aut Sedlmeier, Anja M. aut Selder, Sonja aut Six-Merker, Julia aut Sowade, Ramona aut Stang, Andreas aut Stegle, Oliver aut Steindorf, Karen aut Stübs, Gunthard aut Swart, Enno aut Teismann, Henning aut Thiele, Inke aut Thierry, Sigrid aut Ueffing, Marius aut Völzke, Henry aut Waniek, Sabina aut Weber, Andrea aut Werner, Nicole aut Wichmann, H.-Erich aut Willich, Stefan N. aut Wirkner, Kerstin aut Wolf, Kathrin aut Wolff, Robert aut Zeeb, Hajo aut Zinkhan, Melanie aut Zschocke, Johannes aut Enthalten in European journal of epidemiology [Cham] : Springer Nature Switzerland AG, 1985 37(2022), 10 vom: Okt., Seite 1107-1124 (DE-627)320441636 (DE-600)2004992-4 1573-7284 nnns volume:37 year:2022 number:10 month:10 pages:1107-1124 https://dx.doi.org/10.1007/s10654-022-00890-5 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_252 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2943 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 AR 37 2022 10 10 1107-1124 |
| allfields_unstemmed |
10.1007/s10654-022-00890-5 doi (DE-627)SPR048517623 (SPR)s10654-022-00890-5-e DE-627 ger DE-627 rakwb eng Peters, Annette verfasserin (orcid)0000-0001-6645-0985 aut Framework and baseline examination of the German National Cohort (NAKO) 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 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. Population-based cohort (dpeaa)DE-He213 Non-communicable diseases (dpeaa)DE-He213 Communicable diseases (dpeaa)DE-He213 Epidemiology (dpeaa)DE-He213 Life-style and socio-economic factors (dpeaa)DE-He213 Magnetic resonance imaging (dpeaa)DE-He213 Pre-clinical disease (dpeaa)DE-He213 Functional impairments (dpeaa)DE-He213 Psychosocial factors (dpeaa)DE-He213 Peters, Annette aut Greiser, Karin Halina aut Göttlicher, Susanne aut Ahrens, Wolfgang aut Albrecht, Maren aut Bamberg, Fabian aut Bärnighausen, Till aut Becher, Heiko aut Berger, Klaus aut Beule, Achim aut Boeing, Heiner aut Bohn, Barbara aut Bohnert, Kerstin aut Braun, Bettina aut Brenner, Hermann aut Bülow, Robin aut Castell, Stefanie aut Damms-Machado, Antje aut Dörr, Marcus aut Ebert, Nina aut Ecker, Margit aut Emmel, Carina aut Fischer, Beate aut Franzke, Claus-Werner aut Gastell, Sylvia aut Giani, Guido aut Günther, Matthias aut Günther, Kathrin aut Günther, Klaus-Peter aut Haerting, Johannes aut Haug, Ulrike aut Heid, Iris M. aut Heier, Margit aut Heinemeyer, Diana aut Hendel, Thomas aut Herbolsheimer, Florian aut Hirsch, Jochen aut Hoffmann, Wolfgang aut Holleczek, Bernd aut Hölling, Heike aut Hörlein, Andreas aut Jöckel, Karl-Heinz aut Kaaks, Rudolf aut Karch, André aut Karrasch, Stefan aut Kartschmit, Nadja aut Kauczor, Hans-Ulrich aut Keil, Thomas aut Kemmling, Yvonne aut Klee, Bianca aut Klüppelholz, Birgit aut Kluttig, Alexander aut Kofink, Lisa aut Köttgen, Anna aut Kraft, Daniel aut Krause, Gérard aut Kretz, Lisa aut Krist, Lilian aut Kühnisch, Jan aut Kuß, Oliver aut Legath, Nicole aut Lehnich, Anna-Therese aut Leitzmann, Michael aut Lieb, Wolfgang aut Linseisen, Jakob aut Loeffler, Markus aut Macdonald, Anke aut Maier-Hein, Klaus H. aut Mangold, Nina aut Meinke-Franze, Claudia aut Meisinger, Christa aut Melzer, Juliane aut Mergarten, Björn aut Michels, Karin B. aut Mikolajczyk, Rafael aut Moebus, Susanne aut Mueller, Ulrich aut Nauck, Matthias aut Niendorf, Thoralf aut Nikolaou, Konstantin aut Obi, Nadia aut Ostrzinski, Stefan aut Panreck, Leo aut Pigeot, Iris aut Pischon, Tobias aut Pschibul-Thamm, Irene aut Rathmann, Wolfgang aut Reineke, Achim aut Roloff, Stefanie aut Rujescu, Dan aut Rupf, Stefan aut Sander, Oliver aut Schikowski, Tamara aut Schipf, Sabine aut Schirmacher, Peter aut Schlett, Christopher L. aut Schmidt, Börge aut Schmidt, Georg aut Schmidt, Martin aut Schöne, Gina aut Schulz, Holger aut Schulze, Matthias B. aut Schweig, Alexandra aut Sedlmeier, Anja M. aut Selder, Sonja aut Six-Merker, Julia aut Sowade, Ramona aut Stang, Andreas aut Stegle, Oliver aut Steindorf, Karen aut Stübs, Gunthard aut Swart, Enno aut Teismann, Henning aut Thiele, Inke aut Thierry, Sigrid aut Ueffing, Marius aut Völzke, Henry aut Waniek, Sabina aut Weber, Andrea aut Werner, Nicole aut Wichmann, H.-Erich aut Willich, Stefan N. aut Wirkner, Kerstin aut Wolf, Kathrin aut Wolff, Robert aut Zeeb, Hajo aut Zinkhan, Melanie aut Zschocke, Johannes aut Enthalten in European journal of epidemiology [Cham] : Springer Nature Switzerland AG, 1985 37(2022), 10 vom: Okt., Seite 1107-1124 (DE-627)320441636 (DE-600)2004992-4 1573-7284 nnns volume:37 year:2022 number:10 month:10 pages:1107-1124 https://dx.doi.org/10.1007/s10654-022-00890-5 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_252 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2943 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 AR 37 2022 10 10 1107-1124 |
| allfieldsGer |
10.1007/s10654-022-00890-5 doi (DE-627)SPR048517623 (SPR)s10654-022-00890-5-e DE-627 ger DE-627 rakwb eng Peters, Annette verfasserin (orcid)0000-0001-6645-0985 aut Framework and baseline examination of the German National Cohort (NAKO) 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 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. 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10.1007/s10654-022-00890-5 doi (DE-627)SPR048517623 (SPR)s10654-022-00890-5-e DE-627 ger DE-627 rakwb eng Peters, Annette verfasserin (orcid)0000-0001-6645-0985 aut Framework and baseline examination of the German National Cohort (NAKO) 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 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. Population-based cohort (dpeaa)DE-He213 Non-communicable diseases (dpeaa)DE-He213 Communicable diseases (dpeaa)DE-He213 Epidemiology (dpeaa)DE-He213 Life-style and socio-economic factors (dpeaa)DE-He213 Magnetic resonance imaging (dpeaa)DE-He213 Pre-clinical disease (dpeaa)DE-He213 Functional impairments (dpeaa)DE-He213 Psychosocial factors (dpeaa)DE-He213 Peters, Annette aut Greiser, Karin Halina aut Göttlicher, Susanne aut Ahrens, Wolfgang aut Albrecht, Maren aut Bamberg, Fabian aut Bärnighausen, Till aut Becher, Heiko aut Berger, Klaus aut Beule, Achim aut Boeing, Heiner aut Bohn, Barbara aut Bohnert, Kerstin aut Braun, Bettina aut Brenner, Hermann aut Bülow, Robin aut Castell, Stefanie aut Damms-Machado, Antje aut Dörr, Marcus aut Ebert, Nina aut Ecker, Margit aut Emmel, Carina aut Fischer, Beate aut Franzke, Claus-Werner aut Gastell, Sylvia aut Giani, Guido aut Günther, Matthias aut Günther, Kathrin aut Günther, Klaus-Peter aut Haerting, Johannes aut Haug, Ulrike aut Heid, Iris M. aut Heier, Margit aut Heinemeyer, Diana aut Hendel, Thomas aut Herbolsheimer, Florian aut Hirsch, Jochen aut Hoffmann, Wolfgang aut Holleczek, Bernd aut Hölling, Heike aut Hörlein, Andreas aut Jöckel, Karl-Heinz aut Kaaks, Rudolf aut Karch, André aut Karrasch, Stefan aut Kartschmit, Nadja aut Kauczor, Hans-Ulrich aut Keil, Thomas aut Kemmling, Yvonne aut Klee, Bianca aut Klüppelholz, Birgit aut Kluttig, Alexander aut Kofink, Lisa aut Köttgen, Anna aut Kraft, Daniel aut Krause, Gérard aut Kretz, Lisa aut Krist, Lilian aut Kühnisch, Jan aut Kuß, Oliver aut Legath, Nicole aut Lehnich, Anna-Therese aut Leitzmann, Michael aut Lieb, Wolfgang aut Linseisen, Jakob aut Loeffler, Markus aut Macdonald, Anke aut Maier-Hein, Klaus H. aut Mangold, Nina aut Meinke-Franze, Claudia aut Meisinger, Christa aut Melzer, Juliane aut Mergarten, Björn aut Michels, Karin B. aut Mikolajczyk, Rafael aut Moebus, Susanne aut Mueller, Ulrich aut Nauck, Matthias aut Niendorf, Thoralf aut Nikolaou, Konstantin aut Obi, Nadia aut Ostrzinski, Stefan aut Panreck, Leo aut Pigeot, Iris aut Pischon, Tobias aut Pschibul-Thamm, Irene aut Rathmann, Wolfgang aut Reineke, Achim aut Roloff, Stefanie aut Rujescu, Dan aut Rupf, Stefan aut Sander, Oliver aut Schikowski, Tamara aut Schipf, Sabine aut Schirmacher, Peter aut Schlett, Christopher L. aut Schmidt, Börge aut Schmidt, Georg aut Schmidt, Martin aut Schöne, Gina aut Schulz, Holger aut Schulze, Matthias B. aut Schweig, Alexandra aut Sedlmeier, Anja M. aut Selder, Sonja aut Six-Merker, Julia aut Sowade, Ramona aut Stang, Andreas aut Stegle, Oliver aut Steindorf, Karen aut Stübs, Gunthard aut Swart, Enno aut Teismann, Henning aut Thiele, Inke aut Thierry, Sigrid aut Ueffing, Marius aut Völzke, Henry aut Waniek, Sabina aut Weber, Andrea aut Werner, Nicole aut Wichmann, H.-Erich aut Willich, Stefan N. aut Wirkner, Kerstin aut Wolf, Kathrin aut Wolff, Robert aut Zeeb, Hajo aut Zinkhan, Melanie aut Zschocke, Johannes aut Enthalten in European journal of epidemiology [Cham] : Springer Nature Switzerland AG, 1985 37(2022), 10 vom: Okt., Seite 1107-1124 (DE-627)320441636 (DE-600)2004992-4 1573-7284 nnns volume:37 year:2022 number:10 month:10 pages:1107-1124 https://dx.doi.org/10.1007/s10654-022-00890-5 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_252 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 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Peters, Annette @@aut@@ Greiser, Karin Halina @@aut@@ Göttlicher, Susanne @@aut@@ Ahrens, Wolfgang @@aut@@ Albrecht, Maren @@aut@@ Bamberg, Fabian @@aut@@ Bärnighausen, Till @@aut@@ Becher, Heiko @@aut@@ Berger, Klaus @@aut@@ Beule, Achim @@aut@@ Boeing, Heiner @@aut@@ Bohn, Barbara @@aut@@ Bohnert, Kerstin @@aut@@ Braun, Bettina @@aut@@ Brenner, Hermann @@aut@@ Bülow, Robin @@aut@@ Castell, Stefanie @@aut@@ Damms-Machado, Antje @@aut@@ Dörr, Marcus @@aut@@ Ebert, Nina @@aut@@ Ecker, Margit @@aut@@ Emmel, Carina @@aut@@ Fischer, Beate @@aut@@ Franzke, Claus-Werner @@aut@@ Gastell, Sylvia @@aut@@ Giani, Guido @@aut@@ Günther, Matthias @@aut@@ Günther, Kathrin @@aut@@ Günther, Klaus-Peter @@aut@@ Haerting, Johannes @@aut@@ Haug, Ulrike @@aut@@ Heid, Iris M. @@aut@@ Heier, Margit @@aut@@ Heinemeyer, Diana @@aut@@ Hendel, Thomas @@aut@@ Herbolsheimer, Florian @@aut@@ Hirsch, Jochen @@aut@@ Hoffmann, Wolfgang @@aut@@ Holleczek, Bernd @@aut@@ Hölling, Heike @@aut@@ Hörlein, Andreas @@aut@@ Jöckel, Karl-Heinz @@aut@@ Kaaks, Rudolf @@aut@@ Karch, André @@aut@@ Karrasch, Stefan @@aut@@ Kartschmit, Nadja @@aut@@ Kauczor, Hans-Ulrich @@aut@@ Keil, Thomas @@aut@@ Kemmling, Yvonne @@aut@@ Klee, Bianca @@aut@@ Klüppelholz, Birgit @@aut@@ Kluttig, Alexander @@aut@@ Kofink, Lisa @@aut@@ Köttgen, Anna @@aut@@ Kraft, Daniel @@aut@@ Krause, Gérard @@aut@@ Kretz, Lisa @@aut@@ Krist, Lilian @@aut@@ Kühnisch, Jan @@aut@@ Kuß, Oliver @@aut@@ Legath, Nicole @@aut@@ Lehnich, Anna-Therese @@aut@@ Leitzmann, Michael @@aut@@ Lieb, Wolfgang @@aut@@ Linseisen, Jakob @@aut@@ Loeffler, Markus @@aut@@ Macdonald, Anke @@aut@@ Maier-Hein, Klaus H. @@aut@@ Mangold, Nina @@aut@@ Meinke-Franze, Claudia @@aut@@ Meisinger, Christa @@aut@@ Melzer, Juliane @@aut@@ Mergarten, Björn @@aut@@ Michels, Karin B. @@aut@@ Mikolajczyk, Rafael @@aut@@ Moebus, Susanne @@aut@@ Mueller, Ulrich @@aut@@ Nauck, Matthias @@aut@@ Niendorf, Thoralf @@aut@@ Nikolaou, Konstantin @@aut@@ Obi, Nadia @@aut@@ Ostrzinski, Stefan @@aut@@ Panreck, Leo @@aut@@ Pigeot, Iris @@aut@@ Pischon, Tobias @@aut@@ Pschibul-Thamm, Irene @@aut@@ Rathmann, Wolfgang @@aut@@ Reineke, Achim @@aut@@ Roloff, Stefanie @@aut@@ Rujescu, Dan @@aut@@ Rupf, Stefan @@aut@@ Sander, Oliver @@aut@@ Schikowski, Tamara @@aut@@ Schipf, Sabine @@aut@@ Schirmacher, Peter @@aut@@ Schlett, Christopher L. @@aut@@ Schmidt, Börge @@aut@@ Schmidt, Georg @@aut@@ Schmidt, Martin @@aut@@ Schöne, Gina @@aut@@ Schulz, Holger @@aut@@ Schulze, Matthias B. @@aut@@ Schweig, Alexandra @@aut@@ Sedlmeier, Anja M. @@aut@@ Selder, Sonja @@aut@@ Six-Merker, Julia @@aut@@ Sowade, Ramona @@aut@@ Stang, Andreas @@aut@@ Stegle, Oliver @@aut@@ Steindorf, Karen @@aut@@ Stübs, Gunthard @@aut@@ Swart, Enno @@aut@@ Teismann, Henning @@aut@@ Thiele, Inke @@aut@@ Thierry, Sigrid @@aut@@ Ueffing, Marius @@aut@@ Völzke, Henry @@aut@@ Waniek, Sabina @@aut@@ Weber, Andrea @@aut@@ Werner, Nicole @@aut@@ Wichmann, H.-Erich @@aut@@ Willich, Stefan N. @@aut@@ Wirkner, Kerstin @@aut@@ Wolf, Kathrin @@aut@@ Wolff, Robert @@aut@@ Zeeb, Hajo @@aut@@ Zinkhan, Melanie @@aut@@ Zschocke, Johannes @@aut@@ |
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Peters, Annette |
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Framework and baseline examination of the German National Cohort (NAKO) Population-based cohort (dpeaa)DE-He213 Non-communicable diseases (dpeaa)DE-He213 Communicable diseases (dpeaa)DE-He213 Epidemiology (dpeaa)DE-He213 Life-style and socio-economic factors (dpeaa)DE-He213 Magnetic resonance imaging (dpeaa)DE-He213 Pre-clinical disease (dpeaa)DE-He213 Functional impairments (dpeaa)DE-He213 Psychosocial factors (dpeaa)DE-He213 |
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Peters, Annette Greiser, Karin Halina Göttlicher, Susanne Ahrens, Wolfgang Albrecht, Maren Bamberg, Fabian Bärnighausen, 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 M. 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 Loeffler, Markus Macdonald, Anke Maier-Hein, Klaus H. Mangold, Nina Meinke-Franze, Claudia Meisinger, Christa Melzer, Juliane Mergarten, Björn Michels, Karin B. 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, H.-Erich Willich, Stefan N. Wirkner, Kerstin Wolf, Kathrin Wolff, Robert Zeeb, Hajo Zinkhan, Melanie Zschocke, Johannes |
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Peters, Annette |
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framework and baseline examination of the german national cohort (nako) |
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Framework and baseline examination of the German National Cohort (NAKO) |
| abstract |
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. © The Author(s) 2022 |
| abstractGer |
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. © The Author(s) 2022 |
| abstract_unstemmed |
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. © The Author(s) 2022 |
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Framework and baseline examination of the German National Cohort (NAKO) |
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Peters, Annette Greiser, Karin Halina Göttlicher, Susanne Ahrens, Wolfgang Albrecht, Maren Bamberg, Fabian Bärnighausen, 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 M. 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 Loeffler, Markus Macdonald, Anke Maier-Hein, Klaus H. Mangold, Nina Meinke-Franze, Claudia Meisinger, Christa Melzer, Juliane Mergarten, Björn Michels, Karin B. 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, H.-Erich Willich, Stefan N. Wirkner, Kerstin Wolf, Kathrin Wolff, Robert Zeeb, Hajo Zinkhan, Melanie Zschocke, Johannes |
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Peters, Annette Greiser, Karin Halina Göttlicher, Susanne Ahrens, Wolfgang Albrecht, Maren Bamberg, Fabian Bärnighausen, 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 M. 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 Loeffler, Markus Macdonald, Anke Maier-Hein, Klaus H. Mangold, Nina Meinke-Franze, Claudia Meisinger, Christa Melzer, Juliane Mergarten, Björn Michels, Karin B. 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, H.-Erich Willich, Stefan N. Wirkner, Kerstin Wolf, Kathrin Wolff, Robert Zeeb, Hajo Zinkhan, Melanie Zschocke, Johannes |
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10.1007/s10654-022-00890-5 |
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|
| score |
7.399665 |