The baseline assessment of the German National Cohort (NAKO Gesundheitsstudie): participation in the examination modules, quality assurance, and the use of secondary data
The German National Cohort (NAKO) is an interdisciplinary health study aimed at elucidating causes for common chronic diseases and detecting their preclinical stages. This article provides an overview of design, methods, participation in the examinations, and their quality assurance based on the mid...
Uloženo v:
| Vydáno v: | Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz Ročník 63; číslo 3; s. 254 |
|---|---|
| Hlavní autoři: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | němčina |
| Vydáno: |
Germany
01.03.2020
|
| Témata: | |
| ISSN: | 1437-1588, 1437-1588 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | The German National Cohort (NAKO) is an interdisciplinary health study aimed at elucidating causes for common chronic diseases and detecting their preclinical stages. This article provides an overview of design, methods, participation in the examinations, and their quality assurance based on the midterm baseline dataset (MBD) of the recruitment.
More than 200,000 women and men aged 20-69 years derived from random samples of the German general population were recruited in 18 study centers (2014-2019). The data collection comprised physical examinations, standardized interviews and questionnaires, and the collection of biomedical samples for all participants (level 1). At least 20% of all participants received additional in-depth examinations (level 2), and 30,000 received whole-body magnet resonance imaging (MRI). Additional information will be collected through secondary data sources such as medical registries, health insurances, and pension funds. This overview is based on the MBD, which included 101,839 participants, of whom 11,371 received an MRI.
The mean response proportion was 18%. The participation in the examinations was high with most of the modules performed by over 95%. Among MRI participants, 96% completed all 12 MRI sequences. More than 90% of the participants agreed to the use of complementary secondary and registry data.
Individuals selected for the NAKO were willing to participate in all examinations despite the time-consuming program. The NAKO provides a central resource for population-based epidemiologic research and will contribute to developing innovative strategies for prevention, screening and prediction of chronic diseases. |
|---|---|
| AbstractList | The German National Cohort (NAKO) is an interdisciplinary health study aimed at elucidating causes for common chronic diseases and detecting their preclinical stages. This article provides an overview of design, methods, participation in the examinations, and their quality assurance based on the midterm baseline dataset (MBD) of the recruitment.BACKGROUNDThe German National Cohort (NAKO) is an interdisciplinary health study aimed at elucidating causes for common chronic diseases and detecting their preclinical stages. This article provides an overview of design, methods, participation in the examinations, and their quality assurance based on the midterm baseline dataset (MBD) of the recruitment.More than 200,000 women and men aged 20-69 years derived from random samples of the German general population were recruited in 18 study centers (2014-2019). The data collection comprised physical examinations, standardized interviews and questionnaires, and the collection of biomedical samples for all participants (level 1). At least 20% of all participants received additional in-depth examinations (level 2), and 30,000 received whole-body magnet resonance imaging (MRI). Additional information will be collected through secondary data sources such as medical registries, health insurances, and pension funds. This overview is based on the MBD, which included 101,839 participants, of whom 11,371 received an MRI.METHODSMore than 200,000 women and men aged 20-69 years derived from random samples of the German general population were recruited in 18 study centers (2014-2019). The data collection comprised physical examinations, standardized interviews and questionnaires, and the collection of biomedical samples for all participants (level 1). At least 20% of all participants received additional in-depth examinations (level 2), and 30,000 received whole-body magnet resonance imaging (MRI). Additional information will be collected through secondary data sources such as medical registries, health insurances, and pension funds. This overview is based on the MBD, which included 101,839 participants, of whom 11,371 received an MRI.The mean response proportion was 18%. The participation in the examinations was high with most of the modules performed by over 95%. Among MRI participants, 96% completed all 12 MRI sequences. More than 90% of the participants agreed to the use of complementary secondary and registry data.RESULTSThe mean response proportion was 18%. The participation in the examinations was high with most of the modules performed by over 95%. Among MRI participants, 96% completed all 12 MRI sequences. More than 90% of the participants agreed to the use of complementary secondary and registry data.Individuals selected for the NAKO were willing to participate in all examinations despite the time-consuming program. The NAKO provides a central resource for population-based epidemiologic research and will contribute to developing innovative strategies for prevention, screening and prediction of chronic diseases.DISCUSSIONIndividuals selected for the NAKO were willing to participate in all examinations despite the time-consuming program. The NAKO provides a central resource for population-based epidemiologic research and will contribute to developing innovative strategies for prevention, screening and prediction of chronic diseases. The German National Cohort (NAKO) is an interdisciplinary health study aimed at elucidating causes for common chronic diseases and detecting their preclinical stages. This article provides an overview of design, methods, participation in the examinations, and their quality assurance based on the midterm baseline dataset (MBD) of the recruitment. More than 200,000 women and men aged 20-69 years derived from random samples of the German general population were recruited in 18 study centers (2014-2019). The data collection comprised physical examinations, standardized interviews and questionnaires, and the collection of biomedical samples for all participants (level 1). At least 20% of all participants received additional in-depth examinations (level 2), and 30,000 received whole-body magnet resonance imaging (MRI). Additional information will be collected through secondary data sources such as medical registries, health insurances, and pension funds. This overview is based on the MBD, which included 101,839 participants, of whom 11,371 received an MRI. The mean response proportion was 18%. The participation in the examinations was high with most of the modules performed by over 95%. Among MRI participants, 96% completed all 12 MRI sequences. More than 90% of the participants agreed to the use of complementary secondary and registry data. Individuals selected for the NAKO were willing to participate in all examinations despite the time-consuming program. The NAKO provides a central resource for population-based epidemiologic research and will contribute to developing innovative strategies for prevention, screening and prediction of chronic diseases. |
| Author | Michels, Karin B Rach, Stefan Schmidt, Börge Berger, Klaus Meinke-Franze, Claudia Swart, Enno Kurth, Bärbel Greiser, Karin H Pischon, Tobias Damms-Machado, Antje Stübs, Gunthard Leitzmann, Michael Schikowski, Tamara Peters, Annette Lieb, Wolfgang Schöne, Gina Kauczor, Hans-Ulrich Franzke, Claus-Werner Günther, Kathrin Löffler, Markus Linseisen, Jakob Becher, Heiko Kuß, Oliver Hoffmann, Wolfgang Mikolajczyk, Rafael Kaaks, Rudolf Stallmann, Christoph Schulze, Matthias B Völzke, Henry Castell, Stefanie Gastell, Sylvia Mueller, Ulrich Pigeot, Iris Legath, Nicole Schipf, Sabine Kluttig, Alexander Fischer, Beate Jagodzinski, Annika Ahrens, Wolfgang Brenner, Hermann Fricke, Julia Krist, Lilian Holleczek, Bernd Wirkner, Kerstin Waniek, Sabine Bamberg, Fabian Günther, Matthias Jöckel, Karl-Heinz Kemmling, Yvonne Stang, Andreas Jaeschke, Lina |
| Author_xml | – sequence: 1 givenname: Sabine surname: Schipf fullname: Schipf, Sabine email: sabine.schipf@uni-greifswald.de organization: Institut für Community Medicine, Abteilung SHIP-KEF, Universitätsmedizin Greifswald, Walther-Rathenau-Str. 48, 17489, Greifswald, Deutschland. sabine.schipf@uni-greifswald.de – sequence: 2 givenname: Gina surname: Schöne fullname: Schöne, Gina organization: Abteilung 2 - Epidemiologie und Gesundheitsmonitoring, Robert Koch-Institut, Berlin, Deutschland – sequence: 3 givenname: Börge surname: Schmidt fullname: Schmidt, Börge organization: Institut für Medizinische Informatik, Biometrie und Epidemiologie (IMIBE), Universitätsklinikum Essen, Essen, Deutschland – sequence: 4 givenname: Kathrin surname: Günther fullname: Günther, Kathrin organization: Leibniz-Institut für Präventionsforschung und Epidemiologie - BIPS, Bremen, Deutschland – sequence: 5 givenname: Gunthard surname: Stübs fullname: Stübs, Gunthard organization: Institut für Community Medicine, Abteilung für Versorgungsepidemiologie und Community Health, Universitätsmedizin Greifswald, Walther-Rathenau-Str. 48, 17489, Greifswald, Deutschland – sequence: 6 givenname: Karin H surname: Greiser fullname: Greiser, Karin H organization: Abteilung Epidemiologie von Krebserkrankungen, Deutsches Krebsforschungszentrum Heidelberg, Heidelberg, Deutschland – sequence: 7 givenname: Fabian surname: Bamberg fullname: Bamberg, Fabian organization: Klinik für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Freiburg, Medizinische Fakultät, Albert-Ludwigs-Universität Freiburg, Freiburg, Deutschland – sequence: 8 givenname: Claudia surname: Meinke-Franze fullname: Meinke-Franze, Claudia organization: Institut für Community Medicine, Abteilung SHIP-KEF, Universitätsmedizin Greifswald, Walther-Rathenau-Str. 48, 17489, Greifswald, Deutschland – sequence: 9 givenname: Heiko surname: Becher fullname: Becher, Heiko organization: Institut für Medizinische Biometrie und Epidemiologie, Universitätsklinikum Hamburg-Eppendorf, Hamburg-Eppendorf, Deutschland – sequence: 10 givenname: Klaus surname: Berger fullname: Berger, Klaus organization: Institut für Epidemiologie und Sozialmedizin, Westfälische Wilhelms-Universität Münster, Münster, Deutschland – sequence: 11 givenname: Hermann surname: Brenner fullname: Brenner, Hermann organization: Abteilung für Klinische Epidemiologie und Altersforschung, Deutsches Krebsforschungszentrum Heidelberg, Heidelberg, Deutschland – sequence: 12 givenname: Stefanie surname: Castell fullname: Castell, Stefanie organization: Abteilung Epidemiologie, Helmholtz-Zentrum für Infektionsforschung, Braunschweig, Deutschland – sequence: 13 givenname: Antje surname: Damms-Machado fullname: Damms-Machado, Antje organization: Abteilung Epidemiologie von Krebserkrankungen, Deutsches Krebsforschungszentrum Heidelberg, Heidelberg, Deutschland – sequence: 14 givenname: Beate surname: Fischer fullname: Fischer, Beate organization: Institut für Epidemiologie und Präventivmedizin, Universität Regensburg, Regensburg, Deutschland – sequence: 15 givenname: Claus-Werner surname: Franzke fullname: Franzke, Claus-Werner organization: Institut für Prävention und Tumorepidemiologie, Universitätsklinikum Freiburg, Medizinische Fakultät, Albert-Ludwigs-Universität Freiburg, Freiburg, Deutschland – sequence: 16 givenname: Julia surname: Fricke fullname: Fricke, Julia organization: Institut für Sozialmedizin, Epidemiologie und Gesundheitsökonomie, Charité - Universitätsmedizin, Berlin, Deutschland – sequence: 17 givenname: Sylvia surname: Gastell fullname: Gastell, Sylvia organization: NAKO Studienzentrum, Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke, Nuthetal, Deutschland – sequence: 18 givenname: Matthias surname: Günther fullname: Günther, Matthias organization: Fraunhofer MEVIS-Institut for Medical Image Computing, Bremen, German Faculty of Physics and Electronics, University of Bremen, Bremen, Deutschland – sequence: 19 givenname: Wolfgang surname: Hoffmann fullname: Hoffmann, Wolfgang organization: Institut für Community Medicine, Abteilung für Versorgungsepidemiologie und Community Health, Universitätsmedizin Greifswald, Walther-Rathenau-Str. 48, 17489, Greifswald, Deutschland – sequence: 20 givenname: Bernd surname: Holleczek fullname: Holleczek, Bernd organization: Krebsregister Saarland, Saarbrücken, Deutschland – sequence: 21 givenname: Lina surname: Jaeschke fullname: Jaeschke, Lina organization: Forschergruppe Molekulare Epidemiologie, Max-Delbrück-Centrum für Molekulare Medizin in der Helmholtz-Gemeinschaft (MDC), Berlin, Deutschland – sequence: 22 givenname: Annika surname: Jagodzinski fullname: Jagodzinski, Annika organization: Deutsches Zentrum für Herzkreislaufforschung, Standort Hamburg/Lübeck/Kiel, Deutschland – sequence: 23 givenname: Karl-Heinz surname: Jöckel fullname: Jöckel, Karl-Heinz organization: Institut für Medizinische Informatik, Biometrie und Epidemiologie (IMIBE), Universitätsklinikum Essen, Essen, Deutschland – sequence: 24 givenname: Rudolf surname: Kaaks fullname: Kaaks, Rudolf organization: Abteilung Epidemiologie von Krebserkrankungen, Deutsches Krebsforschungszentrum Heidelberg, Heidelberg, Deutschland – sequence: 25 givenname: Hans-Ulrich surname: Kauczor fullname: Kauczor, Hans-Ulrich organization: Klinik für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Heidelberg, Heidelberg, Deutschland – sequence: 26 givenname: Yvonne surname: Kemmling fullname: Kemmling, Yvonne organization: Abteilung Epidemiologie, Helmholtz-Zentrum für Infektionsforschung, Braunschweig, Deutschland – sequence: 27 givenname: Alexander surname: Kluttig fullname: Kluttig, Alexander organization: Institut für Epidemiologie, Biometrie und Informatik, Martin-Luther-Universität Halle-Wittenberg, Halle, Deutschland – sequence: 28 givenname: Lilian surname: Krist fullname: Krist, Lilian organization: Institut für Sozialmedizin, Epidemiologie und Gesundheitsökonomie, Charité - Universitätsmedizin, Berlin, Deutschland – sequence: 29 givenname: Bärbel surname: Kurth fullname: Kurth, Bärbel organization: Abteilung 2 - Epidemiologie und Gesundheitsmonitoring, Robert Koch-Institut, Berlin, Deutschland – sequence: 30 givenname: Oliver surname: Kuß fullname: Kuß, Oliver organization: Institut für Biometrie und Epidemiologie, Deutsches Diabetes-Zentrum (DDZ), Leibniz-Zentrum für Diabetes-Forschung, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Deutschland – sequence: 31 givenname: Nicole surname: Legath fullname: Legath, Nicole organization: Institut für Epidemiologie und Sozialmedizin, Westfälische Wilhelms-Universität Münster, Münster, Deutschland – sequence: 32 givenname: Michael surname: Leitzmann fullname: Leitzmann, Michael organization: Institut für Epidemiologie und Präventivmedizin, Universität Regensburg, Regensburg, Deutschland – sequence: 33 givenname: Wolfgang surname: Lieb fullname: Lieb, Wolfgang organization: Institut für Epidemiologie, Christian-Albrechts-Universität, Kiel, Deutschland – sequence: 34 givenname: Jakob surname: Linseisen fullname: Linseisen, Jakob organization: Lehrstuhl für Epidemiologie am UNIKA-T, Ludwig-Maximilians-Universität München, Augsburg, Deutschland – sequence: 35 givenname: Markus surname: Löffler fullname: Löffler, Markus organization: Institut für Statistik, Fachbereich Mathematik und Informatik, Universität Bremen, Bremen, Deutschland – sequence: 36 givenname: Karin B surname: Michels fullname: Michels, Karin B organization: Institut für Prävention und Tumorepidemiologie, Universitätsklinikum Freiburg, Medizinische Fakultät, Albert-Ludwigs-Universität Freiburg, Freiburg, Deutschland – sequence: 37 givenname: Rafael surname: Mikolajczyk fullname: Mikolajczyk, Rafael organization: Institut für Epidemiologie, Biometrie und Informatik, Martin-Luther-Universität Halle-Wittenberg, Halle, Deutschland – sequence: 38 givenname: Iris surname: Pigeot fullname: Pigeot, Iris organization: Institut für Statistik, Fachbereich Mathematik und Informatik, Universität Bremen, Bremen, Deutschland – sequence: 39 givenname: Ulrich surname: Mueller fullname: Mueller, Ulrich organization: Kompetenzzentrum Mortalitäts-Follow-up in der NAKO Gesundheitsstudie, Bundesinstitut für Bevölkerungsforschung, Wiesbaden, Deutschland – sequence: 40 givenname: Annette surname: Peters fullname: Peters, Annette organization: Institut für Epidemiologie, Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt, Neuherberg, Deutschland – sequence: 41 givenname: Stefan surname: Rach fullname: Rach, Stefan organization: Leibniz-Institut für Präventionsforschung und Epidemiologie - BIPS, Bremen, Deutschland – sequence: 42 givenname: Tamara surname: Schikowski fullname: Schikowski, Tamara organization: IUF - Leibniz Institut für umweltmedizinische Forschung gGmbH, Düsseldorf, Deutschland – sequence: 43 givenname: Matthias B surname: Schulze fullname: Schulze, Matthias B organization: Abteilung Molekulare Epidemiologie, Deutsches Institut für Ernährungsforschung Potsdam Rehbrücke, Nuthetal, Deutschland – sequence: 44 givenname: Christoph surname: Stallmann fullname: Stallmann, Christoph organization: Institut für Sozialmedizin und Gesundheitssystemforschung (ISMG), Medizinische Fakultät, Universitätsklinikum Magdeburg A. ö. R., Magdeburg, Deutschland – sequence: 45 givenname: Andreas surname: Stang fullname: Stang, Andreas organization: Institut für Medizinische Informatik, Biometrie und Epidemiologie (IMIBE), Universitätsklinikum Essen, Essen, Deutschland – sequence: 46 givenname: Enno surname: Swart fullname: Swart, Enno organization: Institut für Sozialmedizin und Gesundheitssystemforschung (ISMG), Medizinische Fakultät, Universitätsklinikum Magdeburg A. ö. R., Magdeburg, Deutschland – sequence: 47 givenname: Sabine surname: Waniek fullname: Waniek, Sabine organization: Institut für Epidemiologie, Christian-Albrechts-Universität, Kiel, Deutschland – sequence: 48 givenname: Kerstin surname: Wirkner fullname: Wirkner, Kerstin organization: Institut für Medizinische Informatik, Statistik, und Epidemiologie (IMISE), Universität Leipzig, Leipzig, Deutschland – sequence: 49 givenname: Henry surname: Völzke fullname: Völzke, Henry organization: Institut für Community Medicine, Abteilung SHIP-KEF, Universitätsmedizin Greifswald, Walther-Rathenau-Str. 48, 17489, Greifswald, Deutschland – sequence: 50 givenname: Tobias surname: Pischon fullname: Pischon, Tobias organization: MDC/BIH Biobank, Max-Delbrück-Centrum für Molekulare Medizin in der Helmholtz-Gemeinschaft (MDC) und Berlin Institute of Health (BIH), Berlin, Deutschland – sequence: 51 givenname: Wolfgang surname: Ahrens fullname: Ahrens, Wolfgang organization: Institut für Statistik, Fachbereich Mathematik und Informatik, Universität Bremen, Bremen, Deutschland |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32047976$$D View this record in MEDLINE/PubMed |
| BookMark | eNpNkMtu3DAMRYUiQSeP_kAXhZYpECcSpfGju2DQJkGCzGayHtA2jVFhS44pAU0_qV9ZZzIFuiLBe3h5wVNx5IMnIT5rdaWVKq5ZKa1MpkBlyqjKZL8_iBNtTZHpZVke_dcvxCnzzxlflmA-ioUBZYuqyE_En82OZI1MvfMkkZmYB_JRhk7GWbqlaUAvnzC64LGXq7ALU5QXTzcP61nk5NsducgcU-vo6zc54hRd48b9gnR-70K_cHD-fTSENvXEl_IlYe_i69vRNKFv6FKib_d8YnoLwNQE3-L0KluMeC6OO-yZPh3qmXj-8X2zusse17f3q5vHbNRWx4w02FaVhgyqXBd1VxBUTV6VUANA2RAUAJ0FU0NFSNAtqdG5NbVtqi4vrDkTF---4xReEnHcDo4b6nv0FBJvwSyttpUxMKNfDmiqB2q34-SGOe7233_NXw9Fga0 |
| ContentType | Journal Article |
| DBID | CGR CUY CVF ECM EIF NPM 7X8 |
| DOI | 10.1007/s00103-020-03093-z |
| DatabaseName | Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed MEDLINE - Academic |
| DatabaseTitle | MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) MEDLINE - Academic |
| DatabaseTitleList | MEDLINE - Academic MEDLINE |
| Database_xml | – sequence: 1 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: 7X8 name: MEDLINE - Academic url: https://search.proquest.com/medline sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Public Health |
| DocumentTitleAlternate | Die Basiserhebung der NAKO Gesundheitsstudie: Teilnahme an den Untersuchungsmodulen, Qualitätssicherung und Nutzung von Sekundärdaten |
| EISSN | 1437-1588 |
| ExternalDocumentID | 32047976 |
| Genre | Journal Article |
| GeographicLocations | Germany |
| GeographicLocations_xml | – name: Germany |
| GroupedDBID | -Y2 .86 .VR 06C 06D 0R1 0R~ 0VY 1N0 1SB 203 23N 29~ 2J2 2JN 2JY 2KG 2LR 2P1 2VQ 2~H 30V 4.4 406 408 409 40D 40E 53G 5GY 5VS 67Z 6NX 8UJ 95- 95. 95~ 96X A8Z AAAVM AABHQ AACDK AAHNG AAIAL AAJBT AAJKR AANXM AANZL AAPKM AARHV AARTL AASML AATNV AATVU AAUYE AAWCG AAYIU AAYQN AAYTO AAYZH ABAKF ABBBX ABBRH ABBXA ABDBE ABDZT ABECU ABFTV ABHLI ABHQN ABIPD ABJNI ABJOX ABKCH ABKTR ABMNI ABMQK ABNWP ABPLI ABQBU ABQSL ABRTQ ABSXP ABTEG ABTKH ABTMW ABULA ABWNU ABXPI ACAOD ACBXY ACDTI ACGFS ACHSB ACHXU ACKNC ACMDZ ACMLO ACOKC ACOMO ACPIV ACSNA ACZOJ ADHHG ADHIR ADHKG ADJJI ADKNI ADKPE ADRFC ADTPH ADURQ ADYFF ADZKW AEBTG AEFQL AEGAL AEGNC AEJHL AEJRE AEKMD AEMSY AEOHA AEPYU AESKC AETLH AEVLU AEXYK AFDZB AFLOW AFOHR AFQWF AFRAH AFWTZ AFZKB AGAYW AGDGC AGJBK AGMZJ AGQEE AGQMX AGQPQ AGRTI AGWIL AGWZB AGYKE AHAVH AHBYD AHIZS AHKAY AHPBZ AHSBF AHYZX AIAKS AIGIU AIIXL AILAN AITGF AJBLW AJRNO AJZVZ AKMHD ALMA_UNASSIGNED_HOLDINGS ALWAN AMKLP AMXSW AMYLF AMYQR AOCGG ARMRJ ASPBG ATHPR AVWKF AXYYD AYFIA AZFZN B-. BA0 BDATZ BGNMA BSONS CAG CGR COF CS3 CSCUP CUY CVF DARCH DDRTE DL5 DNIVK DPUIP EBD EBLON EBS ECM EIF EIOEI EJD EMOBN EN4 ESBYG F5P FEDTE FERAY FFXSO FIGPU FINBP FNLPD FRRFC FSGXE FWDCC G-Y G-Z GGCAI GGRSB GJIRD GNWQR GQ7 GQ8 GXS H13 HF~ HG5 HG6 HMJXF HQYDN HRMNR HVGLF HZ~ IHE IJ- IKXTQ IMOTQ IWAJR IXC IXD IXE IZIGR IZQ I~X I~Z J-C J0Z JBSCW JCJTX JZLTJ KDC KOV KPH LAS LLZTM M4Y MA- N2Q N9A NB0 NPM NPVJJ NQJWS NU0 O9- O93 O9I O9J OAM P9S PF0 PT4 QOR QOS R89 R9I RIG ROL RPX RRX RSV S16 S1Z S27 S37 S3B SAP SDH SHX SISQX SJYHP SMD SNE SNPRN SNX SOHCF SOJ SPISZ SRMVM SSLCW SSXJD STPWE SV3 SZ9 SZN T13 TSG TSK TSV TT1 TUC U2A U9L UG4 UOJIU UTJUX UZXMN VC2 VFIZW W23 W48 WJK WK8 YLTOR Z45 ZMTXR ZOVNA 7X8 ESTFP |
| ID | FETCH-LOGICAL-p141t-e124d083e3a0617bf7e29c6982b2228ce2722f423b29eae2f5ec1643b4c9f6743 |
| ISICitedReferencesCount | 52 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000516095400002&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1437-1588 |
| IngestDate | Thu Oct 02 12:03:24 EDT 2025 Mon Jul 21 05:45:23 EDT 2025 |
| IsDoiOpenAccess | false |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 3 |
| Keywords | Quality assurance Biosamples MRI Cohort study Response proportion |
| Language | German |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-p141t-e124d083e3a0617bf7e29c6982b2228ce2722f423b29eae2f5ec1643b4c9f6743 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| PMID | 32047976 |
| PQID | 2354149332 |
| PQPubID | 23479 |
| ParticipantIDs | proquest_miscellaneous_2354149332 pubmed_primary_32047976 |
| PublicationCentury | 2000 |
| PublicationDate | 2020-Mar 20200301 |
| PublicationDateYYYYMMDD | 2020-03-01 |
| PublicationDate_xml | – month: 03 year: 2020 text: 2020-Mar |
| PublicationDecade | 2020 |
| PublicationPlace | Germany |
| PublicationPlace_xml | – name: Germany |
| PublicationTitle | Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz |
| PublicationTitleAlternate | Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz |
| PublicationYear | 2020 |
| SSID | ssj0015823 |
| Score | 2.4331465 |
| Snippet | The German National Cohort (NAKO) is an interdisciplinary health study aimed at elucidating causes for common chronic diseases and detecting their preclinical... |
| SourceID | proquest pubmed |
| SourceType | Aggregation Database Index Database |
| StartPage | 254 |
| SubjectTerms | Adult Aged Chronic Disease Cohort Studies Epidemiologic Studies Female Germany Health Status Humans Male Middle Aged Registries Surveys and Questionnaires Young Adult |
| Title | The baseline assessment of the German National Cohort (NAKO Gesundheitsstudie): participation in the examination modules, quality assurance, and the use of secondary data |
| URI | https://www.ncbi.nlm.nih.gov/pubmed/32047976 https://www.proquest.com/docview/2354149332 |
| Volume | 63 |
| WOSCitedRecordID | wos000516095400002&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAVX databaseName: SpringerLINK Contemporary 1997-Present customDbUrl: eissn: 1437-1588 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0015823 issn: 1437-1588 databaseCode: RSV dateStart: 19970101 isFulltext: true titleUrlDefault: https://link.springer.com/search?facet-content-type=%22Journal%22 providerName: Springer Nature |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3db9MwELfWwQMSQnyO8TEZCRCIBS3Op3nbqq1ITB2CDvUtSmJnjbSloUmnsj-Jv5I72_lABWk88BK1l8S2cj_Zd-ff-Qh5KUQgvHQvtRJwPiyXC9viscOtJBVcZFw4vhurYhPBeBxOp_zzxmCryYW5PA-KIlytePlfVQ0yUDamzv6DuttGQQC_QelwBbXD9dqKx7VJ2Y9xe_BmQwYY4VRcvBs3QcDhfAYWuCrKs__pBG5jyt5M5nVVKYrhK8YxalDGPf51Q46UqxiZNEp0MRdLUz9bJ2r-wM6XWLdDNhRRfGepNw8qdMQFUvZMdly3tYxpbdVZN47kPNY7WL2xgakNbrmZqPpjBmF91e0uzfIy04HvpEcgADkSBA58Hc4dmRLi5tZFLlR3B_qZxVn73khJhkU966goC3N0uYmcgJvcUsfMZO86gWV7uqzge_kHmVkhzBSc9wMIerrXB2CvLUOaeVKpIhqW7nmPO9ZVt-g2RIPxSXR0enwcTQ6nk9fldwvLoSFtwNSGGZAbLPA4Ttdfvn5rt8e8UNUtbAdrssFUTuhap3_3nZQNNblL7hjnh-5r0N4jG0LeJ7d15JjqhLgH5CcAmDYAph2A6Tyj8OGpBjBtAEw1gOkbhC9dg-_bD_Q36NK8UK30oEsNdHepAS5tgbtLAbbqeYAtDqCFLUXYPiSnR4eT4UfLVBSxStu1a0uCNSvA6ZBOjKZ7kgWS8dTnIUswEppKFjCWgYeRMC5jyTJPpjbY7Imb8gzTdR6RzWJeyMeEhpkrucTjDoXnxj40ELIgEamIpZ_Cn23yovnqEczYuA0XF3K-rCLmeK7tcsdh22RLqyMq9dEykcOw5EPgP7nG20_JrQ7Vz8hmvVjK5-Rmelnn1WKHDIJpuKNg8wsASsb1 |
| linkProvider | Springer Nature |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=The+baseline+assessment+of+the+German+National+Cohort+%28NAKO+Gesundheitsstudie%29%3A+participation+in+the+examination+modules%2C+quality+assurance%2C+and+the+use+of+secondary+data&rft.jtitle=Bundesgesundheitsblatt%2C+Gesundheitsforschung%2C+Gesundheitsschutz&rft.au=Schipf%2C+Sabine&rft.au=Sch%C3%B6ne%2C+Gina&rft.au=Schmidt%2C+B%C3%B6rge&rft.au=G%C3%BCnther%2C+Kathrin&rft.date=2020-03-01&rft.issn=1437-1588&rft.eissn=1437-1588&rft.volume=63&rft.issue=3&rft.spage=254&rft_id=info:doi/10.1007%2Fs00103-020-03093-z&rft.externalDBID=NO_FULL_TEXT |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1437-1588&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1437-1588&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1437-1588&client=summon |