NAKO Veröffentlichungen

Die folgende Auflistung beinhaltet alle nationalen und internationalen Fachveröffentlichungen der NAKO absteigend nach Jahr sortiert.

2024

Herbolsheimer F, Peters A, Wagner S, Willich SN, Krist L, Pischon T, et al. Changes in physical activity and sedentary behavior during the first COVID-19 pandemic- restrictions in Germany: a nationwide survey : Running head: physical activity during the COVID-19 restrictions. BMC Public Health 2024; 24:433. https://doi.org/10.1186/s12889-024-17675-y

Klinger-König J, Erhardt A, Streit F, Völker MP, Schulze MB, Keil T, et al. Childhood Trauma and Somatic and Mental Illness in Adulthood – Findings of the NAKO Health Study. Dtsch Arztebl Int 2024 102: 1-8. https://doi.org/10.3238/arztebl.m2023.0225

Nimptsch K, Aydin EE, Chavarria RFR, Janke J, Poy MN, Oxvig C, et al. Pregnancy associated plasma protein-A2 (PAPP-A2) and stanniocalcin-2 (STC2) but not PAPP-A are associated with circulating total IGF-1 in a human adult population. Scientific Reports 2024; 14:1770. https://doi.org/10.1038/s41598-024-52074-8

Schmitt M, Ewendt F, Kluttig A, Mikolajczyk R, Kraus FB, Wätjen W, et al. Smoking is associated with increased eryptosis, suicidal erythrocyte death, in a large population-based cohort. Scientific Reports 2024; 14:3024. https://doi.org/10.1038/s41598-024-53258-y

2023

Bosquillon de Jarcy L, Akbil B, Mhlekude B, Leyens J, Postmus D, Harnisch G, et al. 90K/LGALS3BP expression is upregulated in COVID-19 but may not restrict SARS-CoV-2 infection. Clinical and experimental medicine 2023:1–12. https://doi.org/10.1007/s10238-023-01077-2

Ewendt F, Schmitt M, Kluttig A, Kühn J, Hirche F, Kraus FB, et al. Association between vitamin D status and eryptosis-results from the German National Cohort Study. Annals of Hematology 2023:1–11. https://doi.org/10.1007/s00277-023-05239-w

Fay L, Cobos E, Yang B, Gatidis S, Küstner T. Avoiding Shortcut-Learning by Mutual Information Minimization in Deep Learning-Based Image Processing. IEEE Access 2023; 11:64070–64086. https://doi.org/10.1109/ACCESS.2023.3289397

Fischer M, Küstner T, Pappa S, Niendorf T, Pischon T, Kröncke T, et al. Identification of radiomic biomarkers in a set of four skeletal muscle groups on Dixon MRI of the NAKO MR study. BMC Medical Imaging 2023; 23:104. https://doi.org/10.1186/s12880-023-01056-9

Hassenstein MJ, Pischon T, Karch A, Peters A, Kerrinnes T, Teismann H, et al. Seropositivity of Borrelia burgdorferi s.l. in Germany-an analysis across four German National Cohort (NAKO) study sites. Scientific Reports 2023; 13:21087. https://doi.org/10.1038/s41598-023-47766-6

Haueise T, Schick F, Stefan N, Schlett CL, Weiss JB, Nattenmüller J, et al. Analysis of volume and topography of adipose tissue in the trunk: Results of MRI of 11,141 participants in the German National Cohort. Science advances 2023; 9:eadd0433. https://doi.org/10.1126/sciadv.add0433

Huemer M-T, Kluttig A, Fischer B, Ahrens W, Castell S, Ebert N, et al. Grip strength values and cut-off points based on over 200,000 adults of the German National Cohort – a comparison to the EWGSOP2 cut-off points. Age and ageing 2023; 52. https://doi.org/10.1093/ageing/afac324

Kettlitz R, Harries M, Ortmann J, Krause G, Aigner A, Lange B. Association of known SARS-CoV-2 serostatus and adherence to personal protection measures and the impact of personal protective measures on seropositivity in a population-based cross-sectional study (MuSPAD) in Germany. BMC Public Health 2023; 23:2281. https://doi.org/10.1186/s12889-023-17121-5

Koschig M, Conrad I, Berger K, Baune BT, Grabe HJ, Gerstorf D, et al. The mediating role of personality traits in the association between childhood trauma and depressive symptoms in young adulthood. Journal of Affective Disorders 2023; 338:373–379. https://doi.org/10.1016/j.jad.2023.06.027

Lange B, Jaeger VK, Harries M, Rücker V, Streeck H, Blaschke S, et al. Estimates of protection levels against SARS-CoV-2 infection and severe COVID-19 in Germany before the 2022/2023 winter season: the IMMUNEBRIDGE project. Infection 2023:1–15. https://doi.org/10.1007/s15010-023-02071-2

Merz S, Jaehn P, Pischon T, Fischer B, Wirkner K, Rach S, et al. Investigating people’s attitudes towards participating in longitudinal health research: an intersectionality-informed perspective. International Journal for Equity in Health 2023; 22:23. https://doi.org/10.1186/s12939-022-01807-0

Müller S. Automatisierte Segmentierung der Aorta abdominalis in MRT-Daten der NAKO-Studie [Dissertation]. 2023. Eberhard Karls Universität Tübingen, Tübingen. Medizinische Fakultät.

Ortmann J, Heise J-K, Janzen I, Jenniches F, Kemmling Y, Frömke C, et al. Suitability and user acceptance of the eResearch system „Prospective Monitoring and Management App (PIA)“-The example of an epidemiological study on infectious diseases. PLOS ONE 2023; 18:e0279969. https://doi.org/10.1371/journal.pone.0279969

Schuppert C, Rospleszcz S, Hirsch JG, Hoinkiss DC, Köhn A, von Krüchten R, et al. Automated image quality assessment for selecting among multiple magnetic resonance image acquisitions in the German National Cohort study. Scientific Reports 2023; 13:22745. https://doi.org/10.1038/s41598-023-49569-1

Streit F, Völker MP, Klinger-König J, Zillich L, Frank J, Reinhard I, et al. The interplay of family history of depression and early trauma: associations with lifetime and current depression in the German national cohort (NAKO). Frontiers in Epidemiology 2023; 3:29. https://doi.org/10.3389/fepid.2023.1099235

Vonneilich N, Becher H, Bohn B, Brandes B, Castell S, Deckert A, et al. Associations of Migration, Socioeconomic Position and Social Relations With Depressive Symptoms – Analyses of the German National Cohort Baseline Data. International Journal of Public Health 2023; 68:1606097. https://doi.org/10.3389/ijph.2023.1606097

Zschocke J. Time series analysis of wrist accelerometry and cardiorespiratory signals during sleep [Dissertation]. 2023. Martin-Luther-Universität Halle-Wittenberg, Halle. Naturwissenschaftliche Fakultät II.

2022

Berger K, Rietschel M, Rujescu D. The value of ‚mega cohorts‘ for psychiatric research. The world journal of biological psychiatry : the official journal of the World Federation of Societies of Biological Psychiatry 2022:1–5. https://doi.org/10.1080/15622975.2021.2011405

Brandl C, Zimmermann ME, Günther F, Dietl A, Küchenhoff H, Loss J, et al. Changes in healthcare seeking and lifestyle in old aged individuals during COVID-19 lockdown in Germany: the population-based AugUR study. BMC geriatrics 2022; 22:34. https://doi.org/10.1186/s12877-021-02677-x

Dragano N, Reuter M, Peters A, Engels M, Schmidt B, Greiser KH, et al. Zunahme psychischer Störungen während der COVID-19-Pandemie – die Rolle beruflicher und finanzieller Belastungen. Eine Analyse der NAKO Gesundheitsstudie [Increase in Mental Disorders During the COVID-19 Pandemic–the Role of Occupational and Financial Strains. An Analysis of the German National Cohort (NAKO) Study]. Dtsch Arztebl Int 2022; 119:179–187. https://doi.org/10.3238/arztebl.m2022.0133

Dreger S. Record-Linkage Studien in der Strahlenepidemiologie – Möglichkeiten, Herausforderungen und Perspektiven [Dissertation]. 2022. Universität Bremen, Bremen. Fachbereich Human- und Gesundheitswissenschaften.

Erhardt A, Gelbrich G, Klinger-König J, Streit F, Kleineidam L, Riedel-Heller SG, et al. Generalised anxiety and panic symptoms in the German National Cohort (NAKO). The world journal of biological psychiatry : the official journal of the World Federation of Societies of Biological Psychiatry 2022:1–16. https://doi.org/10.1080/15622975.2021.2011409

Gatidis S, Kart T, Fischer M, Winzeck S, Glocker B, Bai W, et al. Better Together: Data Harmonization and Cross-Study Analysis of Abdominal MRI Data From UK Biobank and the German National Cohort. Investigative Radiology 2022; 00004424-990000000-00074. https://doi.org/10.1097/RLI.0000000000000941

Hahn T, Ernsting J, Winter NR, Holstein V, Leenings R, Beisemann M, et al. An uncertainty-aware, shareable, and transparent neural network architecture for brain-age modeling. Science advances 2022; 8:eabg9471. https://doi.org/10.1126/sciadv.abg9471

Hassenstein MJ, Janzen I, Krause G, Harries M, Melhorn V, Kerrinnes T, et al. Seroepidemiology of Borrelia burgdorferi s.l. among German National Cohort (NAKO) Participants, Hanover. Microorganisms 2022; 10:2286. https://doi.org/10.3390/microorganisms10112286

Heise J-K, Dey R, Emmerich M, Kemmling Y, Sistig S, Krause G, et al. Putting digital epidemiology into practice: PIA- Prospective Monitoring and Management Application. Informatics in Medicine Unlocked 2022; 30:100931. https://doi.org/10.1016/j.imu.2022.100931

Jaeschke L, Becher M, Velásquez IM, Ahrens W, Bächle C, Baurecht H, et al. The bias from heaping on risk estimation: effect of age at diagnosis of hypertension on risk of subsequent cardiovascular comorbidities. Annals of epidemiology 2022; 74:84–96. https://doi.org/10.1016/j.annepidem.2022.07.012

Kart T, Fischer M, Winzeck S, Glocker B, Bai W, Bülow R, et al. Automated imaging-based abdominal organ segmentation and quality control in 20,000 participants of the UK Biobank and German National Cohort Studies. Scientific Reports 2022; 12:18733. https://doi.org/10.21203/rs.3.rs-1840125/v1

Kleineidam L, Stark M, Riedel-Heller SG, Pabst A, Schmiedek F, Streit F, et al. The assessment of cognitive function in the German National Cohort (NAKO) – Associations of demographics and psychiatric symptoms with cognitive test performance. The world journal of biological psychiatry : the official journal of the World Federation of Societies of Biological Psychiatry 2022:1–15. https://doi.org/10.1080/15622975.2021.2011408

Klinger-König J, Streit F, Erhardt A, Kleineidam L, Schmiedek F, Schmidt B, et al. The assessment of childhood maltreatment and its associations with affective symptoms in adulthood: Results of the German National Cohort (NAKO). The world journal of biological psychiatry : the official journal of the World Federation of Societies of Biological Psychiatry 2022:1–12. https://doi.org/10.1080/15622975.2021.2011406

Krämer C, Stumme J, Da Costa Campos L, Rubbert C, Caspers J, Caspers S, et al. Classification and prediction of cognitive performance differences in older age based on brain network patterns using a machine learning approach. Network Neuroscience 2022:1–27. https://doi.org/10.1162/netn_a_00275

Kuss O, Becher H, Wienke A, Ittermann T, Ostrzinski S, Schipf S, et al. Statistical Analysis in the German National Cohort (NAKO) – Specific Aspects and General Recommendations. European Journal of Epidemiology 2022. https://doi.org/10.1007/s10654-022-00880-7

Matos Fialho PM, Günther L, Schmitz E, Trümmler J, Willemsen S, Vomhof M, et al. Effects of the Population-Based „10,000 Steps Duesseldorf“ Intervention for Promoting Physical Activity in Community-Dwelling Adults: Protocol for a Nonrandomized Controlled Trial. JMIR research protocols 2022; 11:e39175. https://doi.org/10.2196/39175

Moreno Velásquez I, Jaeschke L, Steinbrecher A, Boeing H, Keil T, Janke J, et al. Association of general and abdominal adiposity with postural changes in systolic blood pressure: results from the NAKO pretest and MetScan studies. Hypertension research : official journal of the Japanese Society of Hypertension 2022. https://doi.org/10.1038/s41440-022-01029-5

Peters, A., German National Cohort (NAKO) Consortium. et al. (2022): Framework and baseline examination of the German National Cohort (NAKO). European Journal of Epidemiology 37: 1107–1124. https://doi.org/10.1007/s10654-022-00890-5
Hinweis:  Die korrekte Zahl der Teilnehmer*innen mit Level 2 Untersuchungen ist N = 56,971, wie im Abstract und Tabelle 5 dargestellt. Im Abschnitt “Results – Recruitment, age distribution and response rates”, Absatz 1, ist diese Zahl fälschlicherweise als 59,971 angegeben.
NoteThe correct number of participants with Level 2 examinations is N = 56,971, as shown in the abstract and Table 5. In paragraph „Results – Recruitment, age distribution and response rates“, section 1, this number is incorrectly stated as 59,971.

Reuter M, Rigó M, Formazin M, Liebers F, Latza U, Castell S, et al. Occupation and SARS-CoV-2 infection risk among 108 960 workers during the first pandemic wave in Germany. Scandinavian journal of work, environment & health 2022. https://doi.org/10.5271/sjweh.4037

Reuter M, Rigó M, Formazin M, Liebers F, Latza U, Castell S, et al. Authors‘ response: Occupation and SARS-CoV-2 infection risk among workers during the first pandemic wave in Germany: potential for bias. Scandinavian journal of work, environment & health 2022; 48:588–590. https://doi.org/10.5271/sjweh.4061

Rickmann A-M, Senapati J, Kovalenko O, Peters A, Bamberg F, Wachinger C. AbdomenNet: deep neural network for abdominal organ segmentation in epidemiologic imaging studies. BMC medical imaging 2022; 22:168. https://doi.org/10.1186/s12880-022-00893-4

Schmiedek F, Kroehne U, Goldhammer F, Prindle JJ, Lindenberger U, Klinger-König J, et al. General cognitive ability assessment in the German National Cohort (NAKO) – The block-adaptive number series task. The world journal of biological psychiatry : the official journal of the World Federation of Societies of Biological Psychiatry 2022:1–12. https://doi.org/10.1080/15622975.2021.2011407

Schuppert C, Krüchten R von, Hirsch JG, Rospleszcz S, Hoinkiss DC, Selder S, et al. Whole-Body Magnetic Resonance Imaging in the Large Population-Based German National Cohort Study: Predictive Capability of Automated Image Quality Assessment for Protocol Repetitions. Investigative Radiology 2022. https://doi.org/10.1097/rli.0000000000000861

Streit F, Zillich L, Frank J, Kleineidam L, Wagner M, Baune BT, et al. Lifetime and current depression in the German National Cohort (NAKO). The world journal of biological psychiatry : the official journal of the World Federation of Societies of Biological Psychiatry 2022:1–16. https://doi.org/10.1080/15622975.2021.2014152

Stumme J, Krämer C, Miller T, Schreiber J, Caspers S, Jockwitz C. Interrelating differences in structural and functional connectivity in the older adult’s brain. Human Brain Mapping 2022. https://doi.org/10.1002/hbm.26030

Tanoey J, Baechle C, Brenner H, Deckert A, Fricke J, Günther K, et al. Birth Order, Caesarean Section, or Daycare Attendance in Relation to Child- and Adult-Onset Type 1 Diabetes: Results from the German National Cohort. Int. J. Environ. Res. Public. Health 2022; 19. https://doi.org/10.3390/ijerph191710880

Wienbergen H, Boakye D, Günther K, Schmucker J, Marín LAM, Kerniss H, et al. Lifestyle and metabolic risk factors in patients with early-onset myocardial infarction: A case-control study. European Journal of Preventive Cardiology 2022. https://doi.org/10.1093/eurjpc/zwac132

2021

Berger K, Riedel-Heller S, Pabst A, Rietschel M, Richter D, NAKO-Konsortium, et al. Einsamkeit während der ersten Welle der SARS-CoV-2-Pandemie – Ergebnisse der NAKO-Gesundheitsstudie [Loneliness during the first wave of the SARS-CoV-2 pandemic-results of the German National Cohort (NAKO)]. Bundesgesundheitsblatt 2021. https://doi.org/10.1007/s00103-021-03393-y

Dornquast C, Reinhold T, Solak S, Durak M, Becher H, Riens B, et al. Strategies to Enhance Retention in a Cohort Study Among Adults of Turkish Descent Living in Berlin. Journal of Immigrant and Minority Health 2021. https://doi.org/10.1007/s10903-021-01309-1

Durak, M. (2021). Körperwahrnehmung und anthropometrische Maße für Adipositas als Risikofaktoren für kardiometabolische Erkrankungen bei türkeistämmigen Berlinern und Essenern [Body perception and anthropometric measures of obesity as risk factors for cardiometabolic disease in Turkish population in Berlin and Essen] [Dissertation]. Charité – Universitätsmedizin Berlin, Berlin.

Fisch L, Ernsting J, Winter NR, Holstein V, Leenings R, Beisemann M, et al. Predicting brain-age from raw T 1 -weighted Magnetic Resonance Imaging data using 3D Convolutional Neural Networks. arXiv:2103.11695 2021. http://arxiv.org/abs/2103.11695

Fischer M, Walter SS, Hepp T, Zimmer M, Notohamiprodjo M, Schick F, et al. Automated Morphometric Analysis of the Hip Joint on MRI from the German National Cohort Study. Radiology: Artificial Intelligence 2021:e200213. https://doi.org/10.1148/ryai.2021200213

Fluck J, Lindstädt B, Ahrens W, Beyan O, Buchner B, Darms J, et al. NFDI4Health – Nationale Forschungsdateninfrastruktur für personenbezogene Gesundheitsdaten. Bausteine Forschungsdatenmanagement. Empfehlungen und Erfahrungsberichte für die Praxis von Forschungsdatenmanagerinnen und -managern 2021; 2/2021:72–85. https://doi.org/10.17192/BFDM.2021.2.8331

Greco F, Mallio CA. Artificial intelligence and abdominal adipose tissue analysis: a literature review. Quant Imaging Med Surg 2021; 11:4461–4474. https://doi.org/10.21037/qims-21-370

Haberland, C. (2021). Erfassung von Zahngesundheitsdaten im Rahmen der Prätests der Nationalen Kohorte in Berlin Buch [Dissertation]. Charité-Universitätsmedizin Berlin.

Hahn T, Ernsting J, Winter NR, Holstein V, Leenings R, Beisemann M, et al. An Uncertainty-Aware, Shareable and Transparent Neural Network Architecture for Brain-Age Modeling. arXiv:2107.07977. http://arxiv.org/abs/2107.07977

Hahn, T., Fisch, L., Ernsting, J., Winter, N. R., Leenings, R., Sarink, K., Emden, D., Kircher, T., Berger, K., & Dannlowski, U. (2021). From ‘loose fitting’ to high-performance, uncertainty-aware brain-age modelling. Brain, 144(3), e31. https://doi.org/10.1093/brain/awaa454

Hepp T, Blum D, Armanious K, Schölkopf B, Stern D, Yang B, et al. Uncertainty estimation and explainability in Deep learning-based age estimation of the human brain: Results from the German National Cohort MRI study. Computerized Medical Imaging and Graphics 2021:101967. https://doi.org/10.1016/j.compmedimag.2021.101967

Hoppe N. The Regulation of Biobanking in Germany. In: GDPR and Biobanking. Editors: Slokenberga S, Tzortzatou O, Reichel J. Cham: Springer International Publishing, 2021; pp. 277–290. https://doi.org/10.1007/978-3-030-49388-2_15

Hosten N, Bülow R, Völzke H, Domin M, Schmidt CO, Teumer A, et al. SHIP-MR and Radiology: 12 Years of Whole-Body Magnetic Resonance Imaging in a Single Center. Healthcare (Basel, Switzerland) 2021; 10. https://doi.org/10.3390/healthcare10010033

Hrudey, I., Swart, E., & Stallmann, C. (2021). Entwicklung und interne Validierung von Prognosemodellen zur Vorhersage des Krankenversicherungsstatus von Teilnehmer*innen der Basiserhebung der NAKO Gesundheitsstudie. Gesundheitswesen, 83(08/09), s-0041-1732002. https://doi.org/10.1055/s-0041-1732002

Jobst, B. C. (2021). Qualitätssicherung der Ultraschalluntersuchung des Abdominalfetts im Rahmen des Data Freeze 100k der NAKO Gesundheitsstudie [Inaugural-Dissertation]. Universität Regensburg, Regenburg.

Jockwitz C, Mérillat S, Liem F, Oschwald J, Amunts K, Jäncke L, et al. Generalizing Longitudinal Age Effects on Brain Structure – A Two-Study Comparison Approach. Frontiers in Human Neuroscience 2021; 15:1–10. https://doi.org/10.3389/fnhum.2021.635687

Jockwitz C, Wiersch L, Stumme J, Caspers S. Cognitive profiles in older males and females. Scientific Reports 2021; 11:1–13. https://doi.org/10.1038/s41598-021-84134-8

Kart T, Fischer M, Küstner T, Hepp T, Bamberg F, Winzeck S, et al. Deep Learning–Based Automated Abdominal Organ Segmentation in the UK Biobank and German National Cohort Magnetic Resonance Imaging Studies. Investigative Radiology 2021; Publish Ahead of Print. https://doi.org/10.1097/RLI.0000000000000755

Kocher M, Jockwitz C, Lohmann P, Stoffels G, Filss C, Mottaghy FM, et al. Lesion-Function Analysis from Multimodal Imaging and Normative Brain Atlases for Prediction of Cognitive Deficits in Glioma Patients. Cancers 2021; 13:1–16. https://doi.org/10.3390/cancers13102373

Krist L, Bedir A, Fricke J, Kluttig A, Mikolajczyk RT. The effect of home visits as an additional recruitment step on the composition of the final sample: a cross-sectional analysis in two study centers of the German National Cohort (NAKO). BMC Medical Research Methodology 2021; 21:176. https://doi.org/10.1186/s12874-021-01357-z

Krist L, Dornquast C, Reinhold T, Becher H, Jöckel K-H, Schmidt B, et al. Association of Acculturation Status with Longitudinal Changes in Health-Related Quality of Life – Results from a Cohort Study of Adults with Turkish Origin in Germany. International Journal of Environmental Research and Public Health 2021; 18:2827. https://doi.org/10.3390/ijerph18062827

Krist L, Dornquast C, Reinhold T, Icke K, Danquah I, Willich SN, et al. Predictors of Changes in Physical Activity and Sedentary Behavior during the COVID-19 Pandemic in a Turkish Migrant Cohort in Germany. International Journal of Environmental Research and Public Health 2021; 18. https://doi.org/10.3390/ijerph18189682

Local Burden of Disease HIV Collaborators. Mapping subnational HIV mortality in six Latin American countries with incomplete vital registration systems. BMC Medicine 2021; 19:1–25. https://doi.org/10.1186/s12916-020-01876-4

Merz S, Jaehn P, Holmberg C. Participation in Population-based Research: A Qualitative, Intersectional Perspective. European Journal of Public Health 2021; 31(Supplement_3), Article ckab165.245. https://doi.org/10.1093/eurpub/ckab165.245

Nishimura H, Yeh PT, Oguntade H, Kennedy CE, Narasimhan M. HPV self-sampling for cervical cancer screening: a systematic review of values and preferences. BMJ Global Health 2021; 6:e003743. https://doi.org/10.1136/bmjgh-2020-003743

Ortmann, J. (2021). Suitability and user acceptance of eHealth application PIA for the investigation of infectious diseases in epidemiological studies [Bachelorthesis]. Medizinische Hochschule Hannover.

Pelikan, L. (2021). Herzfrequenzmessung mittels Polysomnographie und „SOMNOwatch“ bei Patienten mit schlafbezogenen Atemstörungen – Qualitätsüberprüfung und Schlafstadienbestimmung [Dissertation]. Charité – Universitätsmedizin Berlin, Berlin.

Penzel T, Ma Y, Krämer J, Wessel N, Glos M, Fietze I, et al. Sleep-Related Modulations of Heart Rate Variability, ECG, and Cardio-Respiratory Coupling. In: Physics of Biological Oscillators. Editors: Stefanovska A, McClintock PVE. Cham: Springer International Publishing, 2021; pp. 311–327. https://doi.org/10.1007/978-3-030-59805-1_20

Pinart M, Nimptsch K, Forslund SK, Schlicht K, Gueimonde M, Brigidi P, et al. Identification and Characterization of Human Observational Studies in Nutritional Epidemiology on Gut Microbiomics for Joint Data Analysis. Nutrients 2021; 13. https://doi.org/10.3390/nu13093292

Prehn, L. (2021). Untersuchung der Blutfettwerte bei Personen mit und ohne Migrationshintergrund: eine Analyse der Daten der NAKO Gesundheitsstudie aus Hamburg. FOM Hochschule Hamburg, Hamburg.

Rios Chavarria, R. F. (2021). Association of stanniocalcin-2 (STC2) and pregnancy-associated plasma protein-A (PAPPA) with the insulin-like growth factor (IGF)-system in humans [Masterthesis]. Charité – Universitätsmedizin Berlin, Berlin.

Sedlmeier, A. (2021): Anthropometrische Messmethoden in epidemiologischen Studien und ihr Zusammenhang mit Krebs und Mortalität. [Dissertation]. Universität Regensburg, Regensburg. Fakultät für Medizin.

Solak, S. (2021). Inanspruchnahme, Zufriedenheit und Barrieren in der gesundheitlichen Versorgung türkeistämmiger Erwachsener [Utilization, satisfaction and barriers of medical care among adults of Turkish descent] [Dissertation]. Charité – Universitätsmedizin Berlin, Berlin.

Streit F, Zillich L, Rietschel M, Berger K, NAKO Expert Group Neurologic-Psychiatric Disorders. W53. Lifetime and current depression in the German National Cohort (NAKO). European Neuropsychopharmacology 2021; 51:e172. https://doi.org/10.1016/j.euroneuro.2021.08.138

Uekoetter K, Ebert N, Stoffels A, Wigmann C, Schikowski T. Validation of the TeleForm scan workflow in the GNC health study on the example of the questionnaire on physical activity. GMS Medizinische Informatik 2021:Biometrie und Epidemiologie; 17(1):Doc03. https://doi.org/10.3205/MIBE000217

Weber A. Messung von körperlicher Aktivität in epidemiologischen Studien und Assoziationen mit Krebsinzidenz [Dissertation]. 2021. Universität Regensburg, Regensburg. Fakultät für Medizin.

Werdecker A, Mueller UO. Comment: The pressing need for better statistics on youth mortality. The Lancet Global Health 2021:1-2. https://doi.org/10.1016/S2214-109X(21)00080-2

2020

Ahrens W, Greiser KH, Linseisen J, Pischon T, Pigeot I. Erforschung von Erkrankungen in der NAKO Gesundheitsstudie. Die wichtigsten gesundheitlichen Endpunkte und ihre Erfassung [The investigation of health outcomes in the German National Cohort: the most relevant endpoints and their assessment]. Bundesgesundheitsblatt 2020; 63:376–384. https://doi.org/10.1007/s00103-020-03111-0

Ahrens W, Pigeot I, Pischon T. Das Fundament ist gelegt – für verbesserte Vorbeugung und Früherkennung der großen Volkskrankheiten [The foundation has been laid – for improved prevention and early detection of major common diseases]. Bundesgesundheitsblatt 2020; 63:373–375. https://doi.org/10.1007/s00103-020-03119-6

Aust, C. (2020). Konzeption und Implementierung eines Verfahrens zur automatisierten Generierung von Qualitätsberichten für die NAKO Gesundheitsstudie [Bachelorthesis]. Hochschule Stralsund, Stralsund.

Dragano N, Reuter M, Greiser KH, Becher H, Zeeb H, Mikolajczyk RT, et al. Soziodemografische und erwerbsbezogene Merkmale in der NAKO Gesundheitsstudie [Socio-demographic and employment-related factors in the German National Cohort (GNC; NAKO Gesundheitsstudie)]. Bundesgesundheitsblatt 2020; 63:267–278. https://doi.org/10.1007/s00103-020-03098-8

Fischer B, Sedlmeier AM, Hartwig S, Schlett CL, Ahrens W, Bamberg F, et al. Anthropometrische Messungen in der NAKO Gesundheitsstudie – mehr als nur Größe und Gewicht [Anthropometric measures in the German National Cohort – more than weight and height]. Bundesgesundheitsblatt 2020; 63:290–300. https://doi.org/10.1007/s00103-020-03096-w

Hassenstein MJ, Aarabi G, Ahnert P, Becher H, Franzke C-W, Fricke J, et al. Selbst berichtete Infektionen in der NAKO Gesundheitsstudie – Einordnung in die gegenwärtige Forschungslandschaft [Self-reported infections in the German National Cohort (GNC) in the context of the current research landscape]. Bundesgesundheitsblatt 2020; 63:404–414. https://doi.org/10.1007/s00103-020-03114-x

Hepp T, Fischer M, Winkelmann MT, Baldenhofer S, Küstner T, Nikolaou K, et al. Fully Automated Segmentation and Shape Analysis of the Thoracic Aorta in Non-contrast-enhanced Magnetic Resonance Images of the German National Cohort Study. Journal of Thoracic Imaging 2020:1. https://doi.org/10.1097/rti.0000000000000522

Holtfreter B, Samietz S, Hertrampf K, Aarabi G, Hagenfeld D, Kim T-S, et al. Design und Qualitätskontrolle der zahnmedizinischen Untersuchung in der NAKO Gesundheitsstudie [Design and quality control of the oral health status examination in the German National Cohort (GNC)]. Bundesgesundheitsblatt 2020; 63:426–438. https://doi.org/10.1007/s00103-020-03107-w

Jaeschke L, Steinbrecher A, Boeing H, Gastell S, Ahrens W, Berger K, et al. Factors associated with habitual time spent in different physical activity intensities using multiday accelerometry. Scientific Reports 2020; 10. https://doi.org/10.1038/s41598-020-57648-w 

Jaeschke L, Steinbrecher A, Greiser KH, Dörr M, Buck T, Linseisen J, et al. Erfassung selbst berichteter kardiovaskulärer und metabolischer Erkrankungen in der NAKO Gesundheitsstudie: Methoden und erste Ergebnisse [Assessment of self-reported cardiovascular and metabolic diseases in the German National Cohort (GNC, NAKO Gesundheitsstudie): methods and initial results]. Bundesgesundheitsblatt 2020; 63:439–451. https://doi.org/10.1007/s00103-020-03108-9

Jeran, S. (2020). Development of prediction models to estimate activity-related energy expenditure under free-living conditions using accelerometry and its association with cardiometabolic factors [Dissertation]. Technische Universität Berlin, Berlin.

Karrasch S, Peters A, Meisinger C, Ferland M, Jaeschke L, Pischon T, et al. Lungenfunktion in der NAKO Gesundheitsstudie: Methoden und erste Ergebnisse [Lung function in the German National Cohort: methods and initial results]. Bundesgesundheitsblatt 2020; 63:322–331. https://doi.org/10.1007/s00103-020-03102-1

Kluttig A, Zschocke J, Haerting J, Schmermund A, Gastell S, Steindorf K, et al. Messung der körperlichen Fitness in der NAKO Gesundheitsstudie – Methoden, Qualitätssicherung und erste deskriptive Ergebnisse [Measuring physical fitness in the German National Cohort – methods, quality assurance, and first descriptive results]. Bundesgesundheitsblatt 2020; 63:312–321. https://doi.org/10.1007/s00103-020-03100-3

Knüppel S, Clemens M, Conrad J, Gastell S, Michels KB, Leitzmann MF, et al. Dietary assessment in the German National Cohort (GNC). Proceedings of the Nutrition Society 2020; 79:E85. https://doi.org/10.1017/s0029665120000336

Kocher M, Jockwitz C, Caspers S, Schreiber J, Farrher E, Stoffels G, et al. Role of the default mode resting-state network for cognitive functioning in malignant glioma patients following multimodal treatment. NeuroImage: Clinical 2020. https://doi.org/10.1016/j.nicl.2020.102287

Kraus FB, Kocijancic M, Kluttig A, Ludwig-Kraus B. Test validation, method comparison and reference range for the measurement of ß-hydroxybutyrate in peripheral blood samples. Biochemia medica 2020; 30:118–127. https://doi.org/10.11613/bm.2020.010707

Küstner T, Hepp T, Fischer M, Schwartz M, Fritsche A, Häring H-U, et al. Fully Automated and Standardized Segmentation of Adipose Tissue Compartments via Deep Learning in 3D Whole-Body MRI of Epidemiologic Cohort Studies. Radiology: Artificial Intelligence 2020; 2:e200010. https://doi.org/10.1148/ryai.2020200010

Langeheine, M. (2020). Investigating participation in population-based cohort studies using paradata [Dissertation]. Universität Bremen, Bremen.

Langer S, Horn J, Kluttig A, Mikolajczyk RT, Karrasch S, Schulz H, et al. Häufigkeit von Asthma bronchiale und Alter bei der Erstdiagnose – erste Ergebnisse der NAKO Gesundheitsstudie [Occurrence of bronchial asthma and age at initial asthma diagnosis – first results of the German National Cohort]. Bundesgesundheitsblatt 2020; 63:397–403. https://doi.org/10.1007/s00103-020-03105-y 

Leitzmann MF, Gastell S, Hillreiner A, Herbolsheimer F, Baumeister SE, Bohn B, et al. Körperliche Aktivität in der NAKO Gesundheitsstudie: erste Ergebnisse des multimodalen Erhebungskonzepts [Physical activity in the German National Cohort (NAKO): use of multiple assessment tools and initial results]. Bundesgesundheitsblatt 2020; 63:301–311. https://doi.org/10.1007/s00103-020-03099-7 

Leube J, Zschocke J, Kluge M, Pelikan L, Graf A, Glos M, et al. Reconstruction of the respiratory signal through ECG and wrist accelerometer data. Scientific Reports 2020; 10:14530. https://doi.org/10.1038/s41598-020-71539-0

Lieb W, Vasan RS. An update on genetic risk scores for coronary artery disease: are they useful for predicting disease risk and guiding clinical decisions? Expert Review of Cardiovascular Therapy 2020; 18:443–447. https://doi.org/10.1080/14779072.2020.1797489

Local Burden of Disease WaSH Collaborators. Mapping geographical inequalities in access to drinking water and sanitation facilities in low-income and middle-income countries, 2000–17. The Lancet Global Health 2020; 8:e1162-e1185. https://doi.org/10.1016/S2214-109X(20)30278-3

Morawa E, Brand T, Dragano N, Jöckel K-H, Moebus S, Erim Y. Associations Between Acculturation, Depressive Symptoms, and Life Satisfaction Among Migrants of Turkish Origin in Germany: Gender- and Generation-Related Aspects. Front. Psychiatry 2020; 11:715. https://doi.org/10.3389/fpsyt.2020.00715

Nimptsch K, Jaeschke L, Chang-Claude J, Kaaks R, Katzke VA, Michels KB, et al. Selbstberichtete Krebserkrankungen in der NAKO Gesundheitsstudie: Erfassungsmethoden und erste Ergebnisse [Self-reported cancer in the German National Cohort (NAKO Gesundheitsstudie): assessment methods and first results]. Bundesgesundheitsblatt 2020; 63:385–396. https://doi.org/10.1007/s00103-020-03113-y 

Peters A, Rospleszcz S, Greiser KH, Dallavalle M, Karch A, Mikolajczyk RT, et al. The impact of the COVID-19 pandemic on self-reported health – early evidence from the German National Cohort. Dtsch Arztebl Int 2020; 117:861–867. https://doi.org/10.3238/arztebl.2020.0861

Poethko-Müller C, Prütz F, Buttmann-Schweiger N, Fiebig J, Sarganas G, Seeling S, et al. Studien zur Seroprävalenz von SARS-CoV-2 in Deutschland und international. Journal of Health Monitoring 2020; 5. https://doi.org/10.25646/7023

Rach S, Günther K, Hadeler B. Participants who were difficult to recruit at baseline are less likely to complete a follow-up questionnaire – results from the German National Cohort. BMC Medical Research Methodology 2020; 20. https://doi.org/10.1186/s12874-020-01073-0 

Rau H, Geidel L, Bialke M, Blumentritt A, Langanke M, Liedtke W, et al. The generic Informed Consent Service gICS®: implementation and benefits of a modular consent software tool to master the challenge of electronic consent management in research. Journal of Translational Medicine 2020; 18:1–12. https://doi.org/10.1186/s12967-020-02457-y 

Reinhold, T., Dornquast, C., Solak, S., & Durak, M. (2020). Inanspruchnahme, Zufriedenheit und Barrieren der medizinischen Versorgung türkeistämmiger Erwachsener in Berlin. In 19. Deutscher Kongress für Versorgungsforschung (DKVF). sine loco [digital], 30.09.-01.10.2020. Düsseldorf: German Medical Science GMS Publishing House. https://doi.org/10.3205/20dkvf244

Schikowski T, Wigmann C, Fuks KB, Schipf S, Heier M, Neuhauser H, et al. Blutdruckmessung in der NAKO – methodische Unterschiede, Blutdruckverteilung und Bekanntheit der Hypertonie im Vergleich zu anderen bevölkerungsbezogenen Studien in Deutschland [Blood pressure measurement in the NAKO German National Cohort (GNC) – differences in methods, distribution of blood pressure values, and awareness of hypertension compared to other population-based studies in Germany]. Bundesgesundheitsblatt 2020; 63:452–464. https://doi.org/10.1007/s00103-020-03109-8 

Schipf S, Schöne G, Schmidt B, Günther K, Stübs G, Greiser KH, et al. Die Basiserhebung der NAKO Gesundheitsstudie: Teilnahme an den Untersuchungsmodulen, Qualitätssicherung und Nutzung von Sekundärdaten [The baseline assessment of the German National Cohort (NAKO Gesundheitsstudie): participation in the examination modules, quality assurance, and the use of secondary data]. Bundesgesundheitsblatt 2020; 63:254–266. https://doi.org/10.1007/s00103-020-03093-z 

Schmidt CO, Günther K-P, Goronzy J, Albrecht K, Chenot J-F, Callhoff J, et al. Häufigkeiten muskuloskelettaler Symptome und Erkrankungen in der bevölkerungsbezogenen NAKO Gesundheitsstudie [Frequencies of musculoskeletal symptoms and disorders in the population-based German National Cohort (GNC)]. Bundesgesundheitsblatt 2020; 63:415–425. https://doi.org/10.1007/s00103-020-03110-1 

Schneider N, Mueller UO, Klüsener S. Sterblichkeit in Deutschland muss besser und schneller erfasst werden – Lehren aus der COVID-19-Pandemie. RatSWD Working Paper Series 2020; 272. https://doi.org/10.17620/02671.54

Schütz H, Caspers S, Moebus S, Lux S. Prevalence and psychosocial correlates of subjectively perceived decline in five cognitive domains: Results from a population‐based cohort study in Germany. Int J Geriatr Psychiatry 2020; 35:1219–1227. https://doi.org/10.1002/gps.5359

Sønderby IE, Gústafsson Ó, Doan NT, Hibar DP, Martin-Brevet S, Abdellaoui A, et al. Dose response of the 16p11.2 distal copy number variant on intracranial volume and basal ganglia. Mol Psychiatry 2020; 25:584–602. https://doi.org/10.1038/s41380-018-0118-1

Stallmann, C., & Swart, E. (2020). Herausforderungen bei der Qualitätssicherung von Abrechnungsdaten Privater Krankenversicherungen im Rahmen der NAKO Gesundheitsstudie. In German Medical Science GMS Publishing House. https://www.egms.de/en/meetings/dkvf2020/20dkvf063.shtml

Stögbauer, J. (2020). Prevalence and risk factors of smell dysfunction – a comparison between five German population-based studies [Dissertation, Medizinische Fakultät der Universität Münster].

Stögbauer J, Wirkner K, Engel C, Moebus S, Pundt N, Teismann H, et al. Prevalence and risk factors of smell dysfunction – a comparison between five German population-based studies. Rhin 2020; 58:184–191. https://doi.org/10.4193/Rhin19.181

Stumme J, Jockwitz C, Hoffstaedter F, Amunts K, Caspers S. Functional network reorganization in older adults: Graph-theoretical analyses of age, cognition and sex. NeuroImage 2020; 214:1–15. https://doi.org/10.1016/j.neuroimage.2020.116756

Westerman R. Biomarkers for demographic research: sperm counts and other male infertility biomarkers. Biodemography and Social Biology 2020; 65:73–87. https://doi.org/10.1080/19485565.2019.1706150

Wiessner C, Keil T, Krist L, Zeeb H, Dragano N, Schmidt B, et al. Personen mit Migrationshintergrund in der NAKO Gesundheitsstudie – soziodemografische Merkmale und Vergleiche mit der autochthonen deutschen Bevölkerung [Persons with migration background in the German National Cohort (NAKO) – sociodemographic characteristics and comparisons with the German autochthonous population]. Bundesgesundheitsblatt 2020; 63:279–289. https://doi.org/10.1007/s00103-020-03097-9

Winter T, Friedrich N, Lamp S, Schäfer C, Schattschneider M, Bollmann S, et al. The Integrated Research Biobank of the University Medicine Greifswald. Open Journal of Bioresources 2020; 7:1–6. https://doi.org/10.5334/ojb.64

Wolf K, Kraus U, Dzolan M, Bolte G, Lakes T, Schikowski T, et al. Nächtliche Verkehrslärmbelästigung in Deutschland: individuelle und regionale Unterschiede in der NAKO Gesundheitsstudie [Nighttime transportation noise annoyance in Germany: personal and regional differences in the German National Cohort Study]. Bundesgesundheitsblatt 2020; 63:332–343. https://doi.org/10.1007/s00103-020-03094-y

Zeeb H, Dreger S. Medizinische Strahlenexposition in der NAKO Gesundheitsstudie. Ressortforschungsberichte zum Strahlenschutz 2020; 158/20. http://doris.bfs.de/jspui/bitstream/urn:nbn:de:0221-2020050821816/3/BfS_2020_3616S42233.pdf

2019

Ahrens W. The German National Cohort: aims, study design and current status. European Journal of Public Health 2019; 29:201–202. https://doi.org/10.1093/eurpub/ckz185.550

Bittner N, Jockwitz C, Mühleisen TW, Hoffstaedter F, Eickhoff SB, Moebus S, et al. Combining lifestyle risks to disentangle brain structure and functional connectivity differences in older adults. Nat Commun 2019; 10:1–13. https://doi.org/10.1038/s41467-019-08500-x 

Caputo M, Horn J, Karch A, Akmatov MK, Becher H, Braun B, et al. Herpes zoster incidence in Germany – an indirect validation study for self-reported disease data from pretest studies of the population-based German National Cohort. BMC Infectious Diseases 2019; 19:1–8. https://doi.org/10.1186/s12879-019-3691-2

Damerau, L. S. (2019). No-Show Analyse der populationsbezogenen prospektiven Kohortenstudie NAKO in Hamburg und potentielle Einflussfaktoren. Universität Bremen, Bremen.

Dornquast C, Solak S, Durak M, Krist L, Jöckel K-H, Schramm SH, et al. Utilization, satisfaction and barriers of medical care among adults of Turkish descent in Germany. European Journal of Public Health 2019; 29:96. https://doi.org/10.1093/eurpub/ckz185.250

Dzolan, M. (2019). Individual and regional differences in the subjective noise annoyance in the German- National Cohort (GNC) Health Study [Individuelle und regionale Unterschiede in der subjektiven Lärmbelästigung in der NAKO Gesundheitsstudie] [Masterthesis]. Technische Universität München, München.

Hegedüs P, Stackelberg O von, Neumann C, Selder S, Werner N, Erdmann P, et al. How to report incidental findings from population whole-body MRI: view of participants of the German National Cohort. European Radiology 2019; 29:5873–5878. https://doi.org/10.1007/s00330-019-06077-z 

Jockwitz C, Mérillat S, Liem F, Oschwald J, Amunts K, Caspers S, et al. Generalizing age effects on brain structure and cognition: A two-study comparison approach. Human Brain Mapping 2019; 40:1–15. https://doi.org/10.1002/hbm.24524

Kirwan JA, Kaddurah-Daouk R, Mitchell T, Pischon T, Schmidt MA, Velagapudi V. Biobanking for Metabolomics and Lipidomics in Precision Medicine. Clinical Chemistry 2019; 65:827–832. https://doi.org/10.1373/clinchem.2018.298620 

Knüppel S, Clemens M, Conrad J, Gastell S, Michels KB, Leitzmann MF, et al. Design and characterization of dietary assessment in the German National Cohort. European Journal of Clinical Nutrition 2019; 73:1480–1491. https://doi.org/10.1038/s41430-018-0383-8

Krist, L., Dornquast, C., Reinhold, T., Solak, S., Durak, M., & Keil, T. (2019). Strategies to enhance follow-up response in a cohort study with Berliners of Turkish descent. European Journal of Public Health, 29 (Supplement 4), 400–401. https://doi.org/10.1093/eurpub/ckz186.048

Langeheine M, Pohlabeln H, Ahrens W, Günther K, Rach S. Study invitations with envelopes made from recycled paper do not increase likelihood of active responses or study participation in the German National Cohort. BMC Research Notes 2019; 12. https://doi.org/10.1186/s13104-019-4510-y 

Löhler J, Walther LE, Hansen F, Kapp P, Meerpohl J, Wollenberg B, et al. The prevalence of hearing loss and use of hearing aids among adults in Germany: a systematic review. European Archives of Oto-Rhino-Laryngology 2019; 276:945–956. https://doi.org/10.1007/s00405-019-05312-z

Matthews CE, Berrigan D, Fischer B, Gomersall SR, Hillreiner A, Kim Y, et al. Use of previous-day recalls of physical activity and sedentary behavior in epidemiologic studies: results from four instruments. BMC Public Health 2019; 19 (Supplement 2). https://doi.org/10.1186/s12889-019-6763-8 

Stallmann C, Feißel A, Swart E. Sekundärdaten in der NAKO Gesundheitsstudie – Erfahrungsbericht zur Qualitätssicherung von Abrechnungsdaten Privater Krankenversicherungen. Das Gesundheitswesen 2019; 81:705. https://doi.org/10.1055/s-0039-1694484

Uekoetter, K. (2019). Validierung des Scan Workflows in der NAKO Gesundheitsstudie am Beispiel des Fragebogens zur körperlichen Aktivität [Bachelorthesis, Hochschule Hamm-Lippstadt].

Vogl, F. C. (2019). Methodical aspects of urinary metabolomics by liquid chromatography – mass spectrometry [Dissertation, Universität Regensburg, Regensburg].

Westerman R, Mühlichen M. Avoidable Cancer Mortality in Germany Since Reunification: Regional Variation and Sex Differences. Frontiers in Public Health 2019; 7:1–11. https://doi.org/10.3389/fpubh.2019.00187

Zschocke J, Kluge M, Pelikan L, Graf A, Glos M, Müller A, et al. Detection and analysis of pulse waves during sleep via wrist-worn actigraphy. PLOS ONE 2019; 14:e0226843. https://doi.org/10.1371/journal.pone.0226843

2018

Aydin, E. E. (2018). Association of Pregnancy-associated Plasma Protein-A2 (PAPP­A2) with the Insulin-like Growth Factor (IGF)-System in Humans in the Context of Pretests for the German National Cohort [Masterthesis]. Charité – Universitätsmedizin Berlin, Berlin.

Brand T, Samkange-Zeeb F, Dragano N, Keil T, Krist L, Yesil-Jürgens R, et al. Participation of Turkish Migrants in an Epidemiological Study: Does the Recruitment Strategy Affect the Sample Characteristics? Journal of Immigrant and Minority Health 2018; 21:811–819. https://doi.org/10.1007/s10903-018-0788-4 

Dieker, J. (2018). Interaktive Visualisierung von MRT-Bildqualitätsparameter einer medizinischen Längsschnittstudie [Bachelorthesis, Hochschule Bremerhaven, Bremerhaven].

Fernholz I, Menzel J, Jabusch H-C, Gembris H, Fischer F, Kendel F, et al. Musikalische Inaktivität – ein Risikofaktor? Vorstellung eines kurzen Fragebogens zur Erfassung der musikalischen Aktivität (MusA) [Musical Inactivity – A Risk Factor? A Short Questionnaire to Assess Musical Activity (MusA)]. Das Gesundheitswesen 2018; 81:907–910. https://doi.org/10.1055/s-0044-101143

Jaeschke, L. (2018). Application of multiday 24h-accelerometry in epidemiology to study habitual overall physical activity, activity intensity levels, and their determinants [Dissertation, Technische Universität Berlin, Berlin].

Jaeschke L, Steinbrecher A, Jeran S, Konigorski S, Pischon T. Variability and reliability study of overall physical activity and activity intensity levels using 24-h-accelerometry-assessed data. BMC Public Health 2018; 18:530. https://doi.org/10.1186/s12889-018-5415-8 

Jaeschke, L., Steinbrecher, A., Vigl, M., Boeing, H., & Pischon, T. (2018). Association of lifestyle and socioeconomic factors with duration and intensity of physical activity assessed using 7-day 24 h-accelerometry. Revue D’épidémiologie Et De Santé Publique, 66, S412‐S413. https://doi.org/10.1016/j.respe.2018.05.481

Jenny B, Beyersmann J, Schumacher M. A simulation approach for power calculation in large cohort studies based on multistate models. Biometrical Journal 2018; 60:671–686. https://doi.org/10.1002/bimj.201700074

Leube, J. (2018). Methoden zur Rekonstruktion des Atmungssignals aus EKG und Akzelerometrie [Bachelorthesis]. Universität Halle-Wittenberg, Halle.

Ott, M. (2018). Datenaufbereitung und automatisierte Zuordnung der Freitext-Eingaben des cpar24-Moduls im Rahmen der Qualitätssicherung der NAKO Gesundheitsstudie [Masterthesis, Hochschule Regensburg, Regensburg].

Pinart M, Nimptsch K, Bouwman J, Dragsted LO, Yang C, Cock N de, et al. Joint Data Analysis in Nutritional Epidemiology: Identification of Observational Studies and Minimal Requirements. The Journal of Nutrition 2018; 148:285–297. https://doi.org/10.1093/jn/nxx037 

Schmidt CO, Krabbe CEM, Schössow J, Berger K, Enzenbach C, Kamtsiuris P, et al. Qualitätsstandards für epidemiologische Kohortenstudien [Quality standards for epidemiologic cohort studies. An evaluated catalogue of requirements for the conduct and preparation of cohort studies]. Bundesgesundheitsblatt 2018; 61:65–77. https://doi.org/10.1007/s00103-017-2658-y 

Schuppert, C., Bamberg, F., Kauczor, H.‑U., & Schlett, C. L. (2018). Big data for deep learning in radiology: population-based imaging. Health Management Journal, 18(6), 480–482.

Swart, E., Feißel, A., & Stallmann, C. (2018). Endpunktvalidierung in der NAKO Gesundheitsstudie. In German Medical Science GMS Publishing House.

Xiu X, Wu S, Sun X, Qian Q. Organization model of the German national cohort and its enlightenments. Chinese Journal of Medical Library and Information Science 2018; 27:50–55.

2017

Akmatov MK, Koch N, Vital M, Ahrens W, Flesch-Janys D, Fricke J, et al. Determination of nasal and oropharyngeal microbiomes in a multicenter population-based study – findings from Pretest 1 of the German National Cohort. Scientific Reports 2017; 7. https://doi.org/10.1038/s41598-017-01212-6

Akmatov MK, Röber N, Ahrens W, Flesch-Janys D, Fricke J, Greiser KH, et al. Anti-nuclear autoantibodies in the general German population: prevalence and lack of association with selected cardiovascular and metabolic disorders – findings of a multicenter population-based study. Arthritis Research & Therapy 2017; 19. https://doi.org/10.1186/s13075-017-1338-5

Bamberg F. Interview – Drei Jahre NAKO Gesundheitsstudie: ein Zwischenbericht. Fortschr Röntgenstr 2017; 189:372–373. https://doi.org/10.1055/s-0043-105299

Boutin S, Hagenfeld D, Zimmermann H, Sayed NE, Höpker T, Greiser KH, et al. Clustering of Subgingival Microbiota Reveals Microbial Disease Ecotypes Associated with Clinical Stages of Periodontitis in a Cross-Sectional Study. Frontiers in Microbiology 2017; 08. https://doi.org/10.3389/fmicb.2017.00340

Brand T, Samkange-Zeeb F, Ellert U, Keil T, Krist L, Dragano N, et al. Acculturation and health-related quality of life: results from the German National Cohort migrant feasibility study. Int J Public Health 2017; 62:521–529. https://doi.org/10.1007/s00038-017-0957-6 

Gatidis S, Heber SD, Storz C, Bamberg F. Population-based imaging biobanks as source of big data. La radiologia medica 2017; 122:430–436. https://doi.org/10.1007/s11547-016-0684-8 

Hadeler, B. (2017). Teilnahmebereitschaft in der NAKO hinsichtlich der soziodemografischen Merkmale unter Zuhilfenahme von aggregierten ortsteilspezifischen Daten [Masterthesis]. Universität Bremen.

Hoedke, D. (2017). Assoziation von parodontalen Parametern und metabolischen Faktoren im Pretest 1 der Nationalen Kohorte [Masterthesis]. Charité – Universitätsmedizin Berlin, Berlin.

Hövermann, K. (2017). Untersuchung der Zahngesundheit, anthropometrischen und Lebensstilfaktoren sowie entzündlichen Biomarkern im Rahmen der Prätests der Nationalen Kohorte in Berlin Buch [Dissertation]. Charité – Universitätsmedizin Berlin, Berlin.

Jaeschke L, Luzak A, Steinbrecher A, Jeran S, Ferland M, Linkohr B, et al. 24-h-accelerometry in epidemiological studies: automated detection of non-wear time in comparison to diary information. Scientific Reports 2017; 7. https://doi.org/10.1038/s41598-017-01092-w 

Jannusch K, Jockwitz C, Bidmon H-J, Moebus S, Amunts K, Caspers S. A Complex Interplay of Vitamin B1 and B6 Metabolism with Cognition, Brain Structure, and Functional Connectivity in Older Adults. Frontiers in Neuroscience 2017; 11:1–15. https://doi.org/10.3389/fnins.2017.00596

Kohler S, Behrens G, Olden M, Baumeister SE, Horsch A, Fischer B, et al. Design and Evaluation of a Computer-Based 24-Hour Physical Activity Recall (cpar24) Instrument. Journal of  Medical Internet Research 2017; 19:e186.https://doi.org/10.2196/jmir.7620

Krist L, Keller T, Sebald L, Yesil-Jürgens R, Ellert U, Reich A, et al. The Montreal Cognitive Assessment (MoCA) in a population-based sample of Turkish migrants living in Germany. Aging & Mental Health 2017; 23:30–37. https://doi.org/10.1080/13607863.2017.1396577

Morawa, E., Dragano, N., Jöckel, K.‑H., Moebus, S., Brand, T., & Erim, Y. (2017). Somatization among persons with Turkish origin: Results of the pretest of the German National Cohort Study. Journal of Psychosomatic Research, 96, 1–9. https://doi.org/10.1016/j.jpsychores.2017.02.014

Nobile H, Borry P, Pischon T, Steinbrecher A, Boeing H, Vigl M, et al. Participants’ decision to enroll in cohort studies with biobanks: quantitative insights from two German studies. Personalized Medicine 2017; 14:477–485. https://doi.org/10.2217/pme-2017-0049

Schlecht I, Gronwald W, Behrens G, Baumeister SE, Hertel J, Hochrein J, et al. Visceral adipose tissue but not subcutaneous adipose tissue is associated with urine and serum metabolites. PLOS ONE 2017; 12:e0175133. https://doi.org/10.1371/journal.pone.0175133

Schöne G, Damerow S, Hölling H, Houben R, Gabrys L. Methode zur Qualitätsbewertung von Datenerhebungsprozessen in epidemiologischen Studien [Method for the quality assessment of data collection processes in epidemiological studies]. Bundesgesundheitsblatt 2017; 60:1109–1114. https://doi.org/10.1007/s00103-017-2609-7

Steinbrecher A, Janke J, Poy MN, Oxvig C, Pischon T. Pregnancy-Associated Plasma Protein-A2 and Anthropometry, Lifestyle, and Biochemical Factors in a Human Adult Population. Scientific Reports 2017; 7. https://doi.org/10.1038/s41598-017-10629-y

Wichmann H-E. Epidemiology in Germany – general development and personal experience. European Journal of Epidemiology 2017; 32:635–656. https://doi.org/10.1007/s10654-017-0290-7

2016

Bertheau RC, Stackelberg O von, Weckbach S, Kauczor H-U, Schlett CL. Management of Incidental Findings in the German National Cohort. In: Incidental Radiological Findings. Editor: Weckbach S. Springer International Publishing, 2016; pp. 57–70. https://doi.org/10.1007/174_2016_63

Diercke K, Zimmermann H, Hellmann D, Kim T-S, Fricke J, Sayed NE, et al. Prevalence of TMD symptoms in Turkish migrants and re-settlers from the former Soviet Union in comparison to a German group. CRANIO 2016; 34:316–322. https://doi.org/10.1179/2151090315y.0000000011

Günther K-P, Sander O, Schmidt CO, Specker C, Zink A. Deutschlands größte Gesundheitsstudie NAKO mit muskuloskeletalem Untersuchungsprogramm gestartet [Germany’s largest healthcare study NAKO with musculoskeletal examination program has started]. Zeitschrift für Rheumatologie 2016; 75:757–759. https://doi.org/10.1007/s00393-016-0103-5

Günther K-P, Sander O, Schmidt CO, Specker C, Zink A. Nationale Kohorte – Deutschlands größte Gesundheitsstudie gestartet. Zeitschrift für Orthopädie und Unfallchirurgie 2016b; 154:112–113. https://doi.org/10.1055/s-0036-1583212

Jeran S, Steinbrecher A, Pischon T. Prediction of activity-related energy expenditure using accelerometer-derived physical activity under free-living conditions: a systematic review. International Journal of Obesity 2016; 40:1187–1197. https://doi.org/10.1038/ijo.2016.14

Meisinger C, Peters A, Linseisen J. Vom MONICA-Projekt über KORA zur NAKO-Studie: Vom praktischen Nutzen von Bevölkerungsstudien in der Region Augsburg. Das Gesundheitswesen 2016; 78:84–90. https://doi.org/10.1055/s-0041-110916

Schlecht, I. (2016). Reproducibility and validity of ultrasound-assessed visceral and subcutaneous body fat and associations with inflammatory parameters and metabolites [Dissertation]. Universität Regensburg.

Schlecht I, Fischer B, Behrens G, Leitzmann MF. Relations of Visceral and Abdominal Subcutaneous Adipose Tissue, Body Mass Index, and Waist Circumference to Serum Concentrations of Parameters of Chronic Inflammation. Obesity Facts 2016; 9:144–157. https://doi.org/10.1159/000443691

Schlett CL, Hendel T, Hirsch JG, Weckbach S, Caspers S, Schulz-Menger J, et al. Quantitative, Organ-Specific Interscanner and Intrascanner Variability for 3 T Whole-Body Magnetic Resonance Imaging in a Multicenter, Multivendor Study. Investigative Radiology 2016; 51:255–265. https://doi.org/10.1097/rli.0000000000000237

Schlett CL, Hendel T, Weckbach S, Reiser MF, Kauczor HU, Nikolaou K, et al. Population-Based Imaging and Radiomics: Rationale and Perspective of the German National Cohort MRI Study. Fortschr Röntgenstr 2016; 188:652–661. https://doi.org/10.1055/s-0042-104510

Wichmann H-E, Hörlein A, Ahrens W, Nauck M. Die Biobank der Nationalen Kohorte als Ressource der epidemiologischen Forschung [The biobank of the German National Cohort as a resource for epidemiologic research]. Bundesgesundheitsblatt 2016; 59:351–360. https://doi.org/10.1007/s00103-015-2305-4

Zinkhan M, Kantelhardt JW. Sleep Assessment in Large Cohort Studies with High-Resolution Accelerometers. Sleep Medicine Clinics 2016; 11:469–488. https://doi.org/10.1016/j.jsmc.2016.08.006

2015

Ahrens W, Jöckel K-H. Der Nutzen großer Kohortenstudien für die Gesundheitsforschung am Beispiel der Nationalen Kohorte [The benefit of large-scale cohort studies for health research: the example of the German National Cohort]. Bundesgesundheitsblatt 2015; 58:813–821. https://doi.org/10.1007/s00103-015-2182-x

Akmatov MK, Rübsamen N, Schultze A, Kemmling Y, Obi N, Günther K, et al. Diverse recruitment strategies result in different participation percentages in a web-based study, but in similar compliance. International Journal of Public Health 2015; 60:937–943. https://doi.org/10.1007/s00038-015-0737-0

Bamberg F, Kauczor H-U, Weckbach S, Schlett CL, Forsting M, Ladd SC, et al. Whole-Body MR Imaging in the German National Cohort: Rationale, Design, and Technical Background. Radiology 2015; 277:206–220. https://doi.org/10.1055/s-0035-1551217

Budde K, Gök Ö-N, Pietzner M, Meisinger C, Leitzmann M, Nauck M, et al. Quality assurance in the pre-analytical phase of human urine samples by (1)H NMR spectroscopy. Archives of Biochemistry and Biophysics 2015; 589:10–17. https://doi.org/10.1016/j.abb.2015.07.016

Dreger S, Poettgen S, Samkange-Zeeb F, Merzenich H, Ningo A, Breckow J, et al. Retrospective assessment of self-reported exposure to medical ionizing radiation: results of a feasibility study conducted in Germany. BMC Research Notes 2015; 8. https://doi.org/10.1186/s13104-015-1268-8

Freese, J. A. (2015). A 24-hour food list for dietary assessment in large-scale epidemiological studies [Inaugural-Dissertation]. Rheinischen Friedrich-Wilhelms-Universität Bonn.

Jacobs, H. (2015). Der Zusammenhang zwischen dem sozioökonomischen Status und einer Knie-, Hüft- und Fingergelenksarthrose [Bachelorthesis]. Universität Bremen.

Jacobs S, Stallmann C, Pigeot I. Verknüpfung großer Sekundär- und Registerdatenquellen mit Daten aus Kohortenstudien [Linkage of large secondary and registry data sources with data of cohort studies. Usage of a dual potential]. Bundesgesundheitsblatt 2015; 58:822–828. https://doi.org/10.1007/s00103-015-2184-8

Jaeschke L, Steinbrecher A, Pischon T, Vinciguerra M. Measurement of Waist and Hip Circumference with a Body Surface Scanner: Feasibility, Validity, Reliability, and Correlations with Markers of the Metabolic Syndrome. PLOS ONE 2015; 10:e0119430. https://doi.org/10.1371/journal.pone.0119430

Mueller UO, Werdecker A, Westerman R, Hoffmann W. Mortalitäts-Follow-Up der Nationalen Kohorte – Ein neues Projekt am Bundesinstitut für Bevölkerungsforschung. Bevölkerungsforschung 2015; 6:2–12. https://www.bib.bund.de/Publikation/2015/pdf/Mortalitaets_Follow_Up-der-Nationalen-Kohorte-Ein-neues-Projekt-am-Bundesinstitut-fuer-Bevoelkerungsforschung.pdf?__blob=publicationFile&v=2

Schweitzer A, Akmatov MK, Kindler F, Kemmling Y, Kreienbrock L, Krause G, et al. The impact of distance and duration of travel on participation rates and participants’ satisfaction: results from a pilot study at one study centre in Pretest 2 of the German National Cohort. BMJ Open 2015; 5:e007461. https://doi.org/10.1136/bmjopen-2014-007461

Stallmann C, Ahrens W, Kaaks R, Pigeot I, Swart E, Jacobs S. Individuelle Datenverknüpfung von Primärdaten mit Sekundär- und Registerdaten in Kohortenstudien: Potenziale und Verfahrensvorschläge [Individual linkage of primary data with secondary and registry data within large cohort studies – capabilities and procedural proposals]. Das Gesundheitswesen 2015; 77:e37‐e42. https://doi.org/10.1055/s-0034-1396805

Swart E, Powietzka J, Stallmann C, March S. Datenlinkage von Primär- und Sekundärdaten – Erfahrungen und Perspektiven. Das Gesundheitswesen 2015; 77:A25. https://doi.org/10.1055/s-0035-1562981

Szafrański SP, Deng Z-L, Tomasch J, Jarek M, Bhuju S, Meisinger C, et al. Functional biomarkers for chronic periodontitis and insights into the roles of Prevotella nigrescens and Fusobacterium nucleatum; a metatranscriptome analysis. NPJ biofilms and microbiomes 2015; 1:15017. https://doi.org/10.1038/npjbiofilms.2015.17

Zimmermann H, Hagenfeld D, Diercke K, El-Sayed N, Fricke J, Greiser KH, et al. Pocket depth and bleeding on probing and their associations with dental, lifestyle, socioeconomic and blood variables: a cross-sectional, multicenter feasibility study of the German National Cohort. BMC Oral Health 2015; 15. https://doi.org/10.1186/1472-6831-15-7

2014

Ahrens W, Greiser KH, Linseisen J, Kluttig A, Schipf S, Schmidt B, et al. Das Design der Machbarkeitsstudien für eine bundesweite Kohortenstudie in Deutschland: Die Pretests der Nationalen Kohorte (NAKO) [The design of a nationwide cohort study in Germany: the pretest studies of the German National Cohort (GNC)]. Bundesgesundheitsblatt 2014; 57:1246–1254. https://doi.org/10.1007/s00103-014-2042-0

Beutner F, Ubrich R, Zachariae S, Engel C, Sandri M, Teren A, et al. Validation of a brief step-test protocol for estimation of peak oxygen uptake. European Journal of Preventive Cardiology 2014; 22:503–512. https://doi.org/10.1177/2047487314533216

Bröcheler, A. B. (2014). Einsatz eines erweiterten Blutdruckmessprotokolls in epidemiologischen Studien [Masterthesis]. Charité – Universitätsmedizin Berlin, Berlin.

Caspers S, Moebus S, Lux S, Pundt N, Schütz H, Mühleisen TW, et al. Studying variability in human brain aging in a population-based German cohort – rationale and design of 1000BRAINS. Frontiers in Aging Neuroscience 2014; 6. https://doi.org/10.3389/fnagi.2014.00149

Castell S, Akmatov MK, Obi N, Flesch-Janys D, Nieters A, Kemmling Y, et al. Test-retest reliability of an infectious disease questionnaire and evaluation of self-assessed vulnerability to infections. Bundesgesundheitsblatt 2014; 57:1300–1307. https://doi.org/10.1007/s00103-014-2045-x

Castell S, Krause G, Schmitt M, Pawlita M, Deleré Y, Obi N, et al. Feasibility and acceptance of cervicovaginal self-sampling within the German National Cohort (Pretest 2). Bundesgesundheitsblatt 2014; 57:1270–1276. https://doi.org/10.1007/s00103-014-2054-9

Freese JA, Feller S, Harttig U, Kleiser C, Linseisen J, Fischer B, et al. Development and evaluation of a short 24-h food list as part of a blended dietary assessment strategy in large-scale cohort studies. European Journal of Clinical Nutrition 2014; 68:324–329. https://doi.org/10.1038/ejcn.2013.274

German National Cohort (GNC) Consortium. The German National Cohort: aims, study design and organization. European Journal of Epidemiology 2014; 29:371–382. https://doi.org/10.1007/s10654-014-9890-7

Hille K, Möbius N, Akmatov MK, Verspohl J, Rabold D, Hartmann M, et al. Zoonoses research in the German National Cohort: Feasibility of parallel sampling of pets and owners. Bundesgesundheitsblatt 2014; 57:1277–1282. https://doi.org/10.1007/s00103-014-2047-8

Kröger H, Schupp J, Behrens J. Unlocking Further Potential in the National Cohort Study Through Comparability with the German Socio-Economic Panel. SSRN Electronic Journal 2014; SOEPpaper No. 651. https://doi.org/10.2139/ssrn.2439256

Kühn A, Nieters A, Köttgen A, Goek ON, Michels KB, Nöthlings U, et al. Feasibility and quality development of biomaterials in the pretest studies of the German National Cohort. Bundesgesundheitsblatt 2014; 57:1255–1263. https://doi.org/10.1007/s00103-014-2048-7

Mall S, Akmatov MK, Schultze A, Ahrens W, Obi N, Pessler F, et al. Web-based questionnaires to capture acute infections in long-term cohorts: Findings of a feasibility study. Bundesgesundheitsblatt 2014; 57:1308–1314. https://doi.org/10.1007/s00103-014-2049-6

Reiss K, Dragano N, Ellert U, Fricke J, Greiser KH, Keil T, et al. Comparing sampling strategies to recruit migrants for an epidemiological study. Results from a German feasibility study. European Journal of Public Health 2014; 24:721–726. https://doi.org/10.1093/eurpub/cku046

Schlecht I, Wiggermann P, Behrens G, Fischer B, Koch M, Freese JA, et al. Reproducibility and validity of ultrasound for the measurement of visceral and subcutaneous adipose tissues. Metabolism 2014; 63:1512–1519. https://doi.org/10.1016/j.metabol.2014.07.012

Schultze A, Akmatov MK, Andrzejak M, Karras N, Kemmling Y, Maulhardt A, et al. Comparison of stool collection on site versus at home in a population-based study. Bundesgesundheitsblatt 2014; 57:1264–1269. https://doi.org/10.1007/s00103-014-2051-z

Schultze A, Akmatov MK, Castell S, Karch A, Ahrens W, Günther K, et al. Collection of vaccination data in the German National Cohort. Bundesgesundheitsblatt 2014; 57:1292–1299. https://doi.org/10.1007/s00103-014-2050-0

Sievers C, Akmatov MK, Kreienbrock L, Hille K, Ahrens W, Günther K, et al. Evaluation of a questionnaire to assess selected infectious diseases and their risk factors [Evaluierung eines Fragebogens zur Erfassung von Infektionen und relevanten Risikofaktoren. Ergebnisse einer multizentrischen Studie]. Bundesgesundheitsblatt 2014; 57:1283–1291. https://doi.org/10.1007/s00103-014-2052-y

Starkbaum J, Gottweis H, Gottweis U, Kleiser C, Linseisen J, Meisinger C, et al. Public Perceptions of Cohort Studies and Biobanks in Germany. Biopreservation and Biobanking 2014; 12:121–130. https://doi.org/10.1089/bio.2013.0071

Winkler V, Leitzmann MF, Obi N, Ahrens W, Edinger T, Giani G, et al. Response in individuals with and without foreign background and application to the National Cohort in Germany: which factors have an effect? International Journal of Public Health 2014; 59:555–563. https://doi.org/10.1007/s00038-013-0539-1

Zinkhan, M. (2014). Übereinstimmung verschiedener Methoden zur Messung von Schlafeigenschaften: ein Vergleich zweier Aktigraphiegeräte, zweier Trageorte und von Eigenangaben mit der Referenzmethode Polysomnographie [Dissertation]. Martin-Luther-Universität Halle-Wittenberg, Halle.

Zinkhan M, Berger K, Hense S, Nagel M, Obst A, Koch B, et al. Agreement of different methods for assessing sleep characteristics: a comparison of two actigraphs, wrist and hip placement, and self-report with polysomnography. Sleep Medicine 2014; 15:1107–1114. https://doi.org/10.1016/j.sleep.2014.04.015

2013

Jaeschke, L. (2013). Die Erfassung von Körperumfängen in epidemiologischen Studien mittels 3-D-Körperoberflächenscanner [Masterthesis]. Charité – Universitätsmedizin Berlin, Berlin.

Leitritz MA, Hense H-W, Schiefer U, Nagel M, Greiser KH, Linseisen J, et al. Entwicklung und erste Anwendungserfahrungen einer schnellen und kostengünstigen ophthalmologischen Untersuchung für die Nationale Kohorte [Development and first results of fast and cost-effective examination methods for an ophthalmological screening within the National Cohort]. Klinische Monatsblätter für Augenheilkunde 2013; 230:1238–1246. https://doi.org/10.1055/s-0033-1350685

Zeeb H, Breckow J, Merzenich H, Ningo A, Obi N, Pöttgen S, et al. Machbarkeitsstudie zur Erhebung der medizinischen Strahlenexposition in der Helmholtzkohorte – Vorhaben 3610S40001. Available from: https://doris.bfs.de/jspui/bitstream/urn:nbn:de:0221-2013090511030/3/BfS_2013_3610S40001.pdf.

2012

Hoffmann W, Jöckel K-H, Kaaks R, Wichmann H-E, Greiser KH, Linseisen J. The National Cohort: A prospective epidemiologic study resource for health and disease research in Germany, 2012. Available from: https://nako.de/wp-content/uploads/2015/07/Wissenschaftliches-Konzept-der-NAKO2.pdf.

Meyer J, Ostrzinski S, Fredrich D, Havemann C, Krafczyk J, Hoffmann W. Efficient data management in a large-scale epidemiology research project. Computer Methods and Programs in Biomedicine 2012; 107:425–435. https://doi.org/10.1016/j.cmpb.2010.12.016

Strahlenschutzkommission. Erfassung der Strahlenexposition in der Nationalen Kohorte. Empfehlung der Strahlenschutzkommission. Available from: https://d-nb.info/1041859643/34.

Wichmann H-E, Kaaks R, Hoffmann W, Jöckel K-H, Greiser KH, Linseisen J. Die Nationale Kohorte [The German National Cohort]. Bundesgesundheitsblatt 2012; 55:781–789. https://doi.org/10.1007/s00103-012-1499-y

2011

Kraft D, Ostrzinski S, Kaaks R, Hoffmann W. (2011). Datenmanagement  für  die  Nationale  Kohorte,  Herausforderungen – Konzepte – Aktueller Stand. 56. GMDS Jahrestagung 6. DGEpi Jahrestagung, Mainz.

2010

Jahn I, Bolte G, Spallek J. Epidemiologische Fachgesellschaften für „Geschlechtersensible Planung und Durchführung der geplanten Nationalen Kohortenstudie.“. Gesundheitswesen 2010; 72:383–386. https://doi.org/10.1055/s-0030-1261917