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Urban-rural disparities in smoking behaviour in Germany.
Völzke H, Neuhauser H, Moebus S, Baumert J, Berger K, Stang A, Ellert U, Werner A, Döring A. Völzke H, et al. Among authors: werner a. BMC Public Health. 2006 Jun 6;6:146. doi: 10.1186/1471-2458-6-146. BMC Public Health. 2006. PMID: 16756650 Free PMC article.
Regional differences in the prevalence of known Type 2 diabetes mellitus in 45-74 years old individuals: results from six population-based studies in Germany (DIAB-CORE Consortium).
Schipf S, Werner A, Tamayo T, Holle R, Schunk M, Maier W, Meisinger C, Thorand B, Berger K, Mueller G, Moebus S, Bokhof B, Kluttig A, Greiser KH, Neuhauser H, Ellert U, Icks A, Rathmann W, Völzke H. Schipf S, et al. Among authors: werner a. Diabet Med. 2012 Jul;29(7):e88-95. doi: 10.1111/j.1464-5491.2012.03578.x. Diabet Med. 2012. PMID: 22248078
Inverse association of estimated cystatin C- and creatinine-based glomerular filtration rate with left ventricular mass: Results from the Study of Health in Pomerania.
Aumann N, Baumeister SE, Werner A, Wallaschofski H, Hannemann A, Nauck M, Rettig R, Felix SB, Dörr M, Völzke H, Lieb W, Stracke S. Aumann N, et al. Among authors: werner a. Int J Cardiol. 2013 Sep 10;167(6):2786-91. doi: 10.1016/j.ijcard.2012.07.011. Epub 2012 Aug 9. Int J Cardiol. 2013. PMID: 22884092
Cohort Profile Update: The Study of Health in Pomerania (SHIP).
Völzke H, Schössow J, Schmidt CO, Jürgens C, Richter A, Werner A, Werner N, Radke D, Teumer A, Ittermann T, Schauer B, Henck V, Friedrich N, Hannemann A, Winter T, Nauck M, Dörr M, Bahls M, Felix SB, Stubbe B, Ewert R, Frost F, Lerch MM, Grabe HJ, Bülow R, Otto M, Hosten N, Rathmann W, Schminke U, Großjohann R, Tost F, Homuth G, Völker U, Weiss S, Holtfreter S, Bröker BM, Zimmermann K, Kaderali L, Winnefeld M, Kristof B, Berger K, Samietz S, Schwahn C, Holtfreter B, Biffar R, Kindler S, Wittfeld K, Hoffmann W, Kocher T. Völzke H, et al. Among authors: werner n, werner a. Int J Epidemiol. 2022 Dec 13;51(6):e372-e383. doi: 10.1093/ije/dyac034. Int J Epidemiol. 2022. PMID: 35348705 No abstract available.
Modeling transcriptomic age using knowledge-primed artificial neural networks.
Holzscheck N, Falckenhayn C, Söhle J, Kristof B, Siegner R, Werner A, Schössow J, Jürgens C, Völzke H, Wenck H, Winnefeld M, Grönniger E, Kaderali L. Holzscheck N, et al. Among authors: werner a. NPJ Aging Mech Dis. 2021 Jun 1;7(1):15. doi: 10.1038/s41514-021-00068-5. NPJ Aging Mech Dis. 2021. PMID: 34075044 Free PMC article.
1,366 results