Scientific Concept of the National Cohort (status ... - Nationale Kohorte

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C.3 References 727. Ryu, O.H., et al., Identification of parotid salivary biomarkers in Sjogren's syndrome by surface-enhanced laser desorption/ionization time-of-flight mass spectrometry and two-dimensional difference gel electrophoresis. Rheumatology, 2006. 45(9): p. 1077. 728. Streckfus, C. and L. Bigler, The use of soluble, salivary c-erbB-2 for the detection and post-operative follow-up of breast cancer in women: the results of a five-year translational research study. Advances in Dental Research, 2005. 18(1): p. 17. 729. Baker, P.I., D.R. Love, and L.R. Ferguson, Role of gut microbiota in Crohns disease. Expert Review of Gastroenterology and Hepatology, 2009. 3(5): p. 535- 546. 730. Isolauri, E., et al., Obesity–Extending the Hygiene Hypothesis. Microbial hostinteraction: tolerance versus allergy, 2009: p. 75. 731. Possemiers, S., et al., The intestinal environment in health and disease-recent insights on the potential of intestinal bacteria to influence human health. Current Pharmaceutical Design, 2009. 15(18): p. 2051-2065. 732. Musso, G., R. Gambino, and M. Cassader, Gut microbiota as a regulator of energy homeostasis and ectopic fat deposition: mechanisms and implications for metabolic disorders. Current opinion in lipidology, 2010. 21(1): p. 76. 733. Musso, G., R. Gambino, and M. Cassader, Obesity, Diabetes, and Gut Microbiota. Diabetes care, 2010. 33(10): p. 2277. 734. Andoh, A., et al., Recent advances in molecular approaches to gut microbiota in inflammatory bowel disease. Current Pharmaceutical Design, 2009. 15(18): p. 2066-2073. 735. Jansson, J., et al., Metabolomics reveals metabolic biomarkers of Crohn's disease. PloS one, 2009. 4(7): p. e6386. 736. Tuohy, K.M., et al., Studying the human gut microbiota in the trans-omics erafocus on metagenomics and metabonomics. Current Pharmaceutical Design, 2009. 15(13): p. 1415-1427. 737. Williams, H.R.T., et al., Characterization of inflammatory bowel disease with urinary metabolic profiling. The American journal of gastroenterology, 2009. 104(6): p. 1435-1444. 738. Jia, W., et al., Gut microbiota: a potential new territory for drug targeting. Nature Reviews Drug Discovery, 2008. 7(2): p. 123-129. 739. Wos-Oxley, M., et al., A poke into the diversity and associations within human anterior nare microbial communities. The ISME Journal, 2010. 4(7): p. 839-851. 740. Rathmann, W., et al., Hemoglobin A1c and glucose criteria identify different subjects as having type 2 diabetes in middle-aged and older populations: The KORA S4/F4 Study. Annals of Medicine, 2010(0): p. 1-8. 741. Tiller, D., Kluttig A, B Schumann B, Werdan K, Haerting J, Greiser K., Response der CARLA-Follow-up Untersuchung (2007-2010). Gesundheitswesen, 2010. 72. 742. Frost, C. and I.R. White, The effect of measurement error in risk factors that change over time in cohort studies: do simple methods overcorrect for'regression dilution'? International journal of epidemiology, 2005. 34(6): p. 1359. 330
331 References 743. Boshuizen, H.C., et al., Effects of past and recent blood pressure and cholesterol level on coronary heart disease and stroke mortality, accounting for measurement error. American journal of Epidemiology, 2007. 165(4): p. 398. 744. Bartlett, J., et al., RE:“Effects of past and recent blood pressure and cholesterol level on coronary heart disease and stroke mortality, accounting for measurement error". American journal of Epidemiology, 2008. 167(4): p. 502. 745. Rosner, B., D. Spiegelman, and W.C. Willett, Correction of logistic regression relative risk estimates and confidence intervals for measurement error: the case of multiple covariates measured with error. American journal of Epidemiology, 1990. 132(4): p. 734. 746. Erbel, R., et al., Coronary Risk Stratification, Discrimination, and Reclassification Improvement Based on Quantification of Subclinical Coronary Atherosclerosis: The Heinz Nixdorf Recall Study. Journal of the American College of Cardiology, 2010. 747. Bergmann, M.M., U. Bussas, and H. Boeing, Follow-up procedures in EPIC- Germany–data quality aspects. Annals of Nutrition and Metabolism, 2000. 43(4): p. 225-234. 748. Hoffmann, W., C. Bobrowski, and K. Fendrich, Secondary data analysis in the field of epidemiology of health care. Potential and limitations. Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz, 2008. 51(10): p. 1193. 749. Boedeker, W., et al., The impact of work on morbidity-related early retirement. Journal of Public Health, 2008. 16(2): p. 97-105. 750. Andersohn, F. and E. Garbe, Pharmacoepidemiological research with large health databases. Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz, 2008. 51(10): p. 1135. 751. Bundesdatenschutzgesetz in der Fassung der Bekanntmachung vom 14. Januar 2003 (BGBl. I S. 66), das zuletzt durch Artikel 1 des Gesetzes vom 14. August 2009 (BGBl. I S. 2814) geändert worden ist (http://www.gesetze-iminternet.de/bundesrecht/bdsg_1990/gesamt.pdf. Last access 10.2010). 752. Gesetz zum Schutz des Bürgers bei der Verarbeitung seiner Daten (Landesdatenschutzgesetz – DSG M-V) vom 28. März 2002 (GVOBl. M-V S. 154), Zuletzt geändert am 25. Oktober 2005 (GVOBl. M-V S. 535): http://www.lfd.mv.de/dschutz/ges_ver/guv/guv_c_20.html, Last access 10.2010. 753. Meldegesetz für das Land Mecklenburg-Vorpommern (Landesmeldegesetz - LMG) in der Fassung der Bekanntmachung vom 30. Januar 2007 (GVOBl. M-v 2007, S. 34): http://mv.juris.de/mv/MG_MV_2007_rahmen.htm, Last access 10.2010. 754. ITIL Lifecycle Publication Suite. 2007. 755. BSI-Standard 100-2: IT-Grundschutz-Vorgehensweise, Version 2.5. 2008, Bonn Bundesamt für Sicherheit in der Informationstechnik (BSI). 756. BSI-Standard 100-2: IT-Grundschutz-Vorgehensweise, Version 2.5. 2008 [cited 2010 October]; Available from: https://www.bsi.bund.de/SharedDocs/Downloads/ DE/BSI/Publikationen/ITGrundschutzstandards/standard_1002.pdf?__blob=public ationFile. C.3
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The National Cohort A prospective e
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Applicants Applicants Applicants Cl
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Applicants IV
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Executive Summary 2. The National C
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Executive Summary 3. Scientific aim
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Executive Summary essary to address
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Executive Summary 7. Examples for s
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Contents A.2.4 major areas of expos
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Contents A.3.8.2 Social security da
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Contents A.6.4.2 Minimally detectab
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Abbreviations C.2 mEThOdS fOr STATI
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Abbreviations DXA Dual-energy x-ray
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Abbreviations CHS Cardiovascular He
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A.1 A.1 Introduction and overview a
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A.1 A.1 Introduction and overview s
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A.1 A.1 Introduction and overview T
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A.1 A.1 Introduction and overview m
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A.1 A.1 Introduction and overview
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A.1 A.1 Introduction and overview s
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A.1 A.1 Introduction and overview
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A.1 A.1 Introduction and overview P
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A.1 A.1 Introduction and overview t
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A.1 A.1 Introduction and overview A
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A.2 A.2. Scientific background and
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A.3 A.3 Study design ment instrumen
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A.3 A.3 Study design Table 3.2: Des
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A.3 A.3 Study design Table 3.3: Dis
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A.3 A.3 Study design the participan
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A.3 A.3 Study design with a prepare
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A.3 A.3 Study design rural areas, t
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A.3 A.3 Study design A.3.2 Baseline
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A.3 A.3 Study design Modules 70 Int
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A.3 A.3 Study design ovarian carcin
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A.3 A.3 Study design Table 3.5: Spe
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A.3 A.3 Study design depression and
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A.3 A.3 Study design to the extent
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A.3 A.3 Study design ers to vaccina
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A.3 A.3 Study design certain foods)
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A.3 A.3 Study design A short instru
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A.3 A.3 Study design ticipants and
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A.3 A.3 Study design a resting time
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A.3 A.3 Study design index, convent
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A.3 A.3 Study design Although the i
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A.3 A.3 Study design air and then t
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A.3 A.3 Study design hemorrhages (0
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A.3 A.3 Study design genetics of BM
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A.3 A.3 Study design hand grip stre
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A.3 A.3 Study design Project title
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A.3 A.3 Study design diseases in va
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A.3 A.3 Study design associations,
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A.3 A.3 Study design Informed Conse
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A.3 A.3 Study design 6. Since being
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A.3 A.3 Study design the possible d
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A.3 A.3 Study design A.3.5 Collecti
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A.3 A.3 Study design Blood In addit
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A.3 A.3 Study design the anterior n
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A.3 A.3 Study design study. For exa
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A.3 A.3 Study design large-size sto
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A.3 A.3 Study design routinely prep
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A.3 A.3 Study design Subjects who m
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A.3 A.3 Study design A.3.6.3 reliab
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A.3 A.3 Study design In addition, a
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A.3 A.3 Study design Disease Questi
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A.3 A.3 Study design Data routinely
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A.3 A.3 Study design tial misclassi
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A.3 A.3 Study design � The KORA c
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A.3 A.3 Study design Table 3.16: Co
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A.3 A.3 Study design Table 3.17: Co
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A.4 A.4 Integrated Data Management
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A.5 A.5 Methods for quality assuran
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A.6 A.6 Planned statistical analyse
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A.6 A.6 Table Planned 6.4: Expected
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A.6 Planned statistical analyses an
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A.7 A.7 Ethical aspects logical/gen
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A.7 A.7 Ethical aspects The more ex
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A.7 A.7 Ethical aspects pants, trav
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A.7 A.7 Ethical aspects Data handli
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A.7 Table 7.2 Availability of ident
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A.7 A.7 Ethical aspects Should bios
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A.7 A.7 Ethical aspects ing finding
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A.7 A.7 Ethical aspects 206
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C.1 C.1 Annex: Description of the s
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C.1 C.1 Table Annex: 1: Cluster Des
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C.2 C.2 Annex: Methods for Statisti
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C.2 C.2 Annex: Methods for Statisti
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C.2 Table S6.5: Sample size needed
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Page 304 and 305: C.3 References 155. Ross, R., Ather
Page 306 and 307: C.3 References 189. Ghiotto, F., et
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Page 310 and 311: C.3 References 260. Eussen, S., et
Page 312 and 313: C.3 References 294. McCrae, R.R. an
Page 314 and 315: C.3 References 327. Lynch, J.W., G.
Page 316 and 317: C.3 References 360. Mair, C., A.V.
Page 318 and 319: C.3 References 395. Lesourd, B., Nu
Page 320 and 321: C.3 References 431. Statistisches B
Page 322 and 323: C.3 References 462. Bundeszentrale
Page 324 and 325: C.3 References 494. Rammstedt, B. a
Page 326 and 327: C.3 References 526. Mack, F., et al
Page 328 and 329: C.3 References 560. Palatini, P., A
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Page 332 and 333: C.3 References 623. Olin, A.C., et
Page 334 and 335: C.3 References 658. Pate, R.R., J.R
Page 336 and 337: C.3 References 691. Zenge, M.O., et
Page 340 and 341: C.3 References 757. BSI-Standard 10
Page 342 and 343: C.3 References 790. Davis, C.E., et
Page 344: C.3 References 822. Hegenscheid, K.
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