@article{SalzwedelRabeZahnetal.2018,
  author    = {Salzwedel, Annett and Rabe, Sophie and Zahn, Thomas and Neuwirth, Julia and Eichler, Sarah and Haubold, Kathrin and Wachholz, Anne and Reibis, Rona Katharina and V{\"o}ller, Heinz},
  title     = {Nutzerinteresse an mobilen digitalen Assistenzsystemen zur F{\"o}rderung k{\"o}rperlicher Aktivit{\"a}t bei Studierenden und Mitarbeitern einer Universit{\"a}t},
  series = {Gesundheitswesen},
  volume    = {80},
  journal   = {Gesundheitswesen},
  number    = {11},
  publisher = {Thieme},
  address   = {Stuttgart},
  issn      = {0941-3790},
  doi       = {10.1055/s-0043-103951},
  pages     = {1023 -- 1025},
  year      = {2018},
  abstract  = {Hintergrund Einem Großteil der Bev{\"o}lkerung gelingt es trotz ausreichenden Wissens um die protektiven Effekte nicht, ausreichende k{\"o}rperliche Aktivit{\"a}t in den Alltag zu integrieren. Digitale Assistenzsysteme k{\"o}nnten hierbei unterst{\"u}tzend eingesetzt werden. Dies setzt jedoch das Interesse potentieller Nutzer voraus. Methode In einer Online-Befragung wurden im Juni/Juli 2015 Mitarbeiter und Studierende der Universit{\"a}t Potsdam zum individuellen Ausmaß der sportlichen Aktivit{\"a}t, dem Interesse an elektronischer Trainingsunterst{\"u}tzung und weiteren Parametern befragt. Ergebnis 1217 Studierende und 485 Mitarbeiter (67,3 bzw. 67,5\% Frauen, 26±4,9 bzw. 42,7±11,7 Jahre) nahmen an der Studie teil. Die empfohlene sportliche Aktivit{\"a}t (≥3 Tage bzw. 150 min/Woche) wurde von 70,1\% der Mitarbeiter und 52,7\% der Studierenden nicht erreicht. Innerhalb dieser Gruppen zeigten 53,2\% (Studierende) bzw. 44,2\% (Mitarbeiter), unabh{\"a}ngig von Alter, Geschlecht, BMI bzw. Bildungsniveau, Interesse an einer elektronischen Trainingsunterst{\"u}tzung. Schlussfolgerung Auch in j{\"u}ngeren Bev{\"o}lkerungsgruppen mit hohem Bildungsniveau ist die Mehrzahl der Personen unzureichend k{\"o}rperlich aktiv. Ein Interesse an Trainingsunterst{\"u}tzung besteht in etwa der H{\"a}lfte dieser sportlich inaktiven Gruppe. Dies legt den Schluss nahe, dass der personalisierte Einsatz mobiler Assistenzsysteme f{\"u}r die positive Beeinflussung des Lebensstils zunehmend an Bedeutung gewinnen k{\"o}nnte.},
  language  = {de}
}
@article{EichlerSalzwedelHarnathetal.2018,
  author    = {Eichler, Sarah and Salzwedel, Annett and Harnath, Axel and Butter, Christian and Wegscheider, Karl and Chiorean, Mihai and V{\"o}ller, Heinz and Reibis, Rona Katharina},
  title     = {Nutrition and mobility predict all-cause mortality in patients 12 months after transcatheter aortic valve implantation},
  series = {Clinical research in cardiology : official journal of the German Cardiac Society.},
  volume    = {107},
  journal   = {Clinical research in cardiology : official journal of the German Cardiac Society.},
  number    = {4},
  publisher = {Springer},
  address   = {Heidelberg},
  issn      = {1861-0684},
  doi       = {10.1007/s00392-017-1183-1},
  pages     = {304 -- 311},
  year      = {2018},
  abstract  = {The aim of the study was to determine pre-interventional predictors for all-cause mortality in patients after transcatheter aortic valve implantation (TAVI) with a 12-month follow-up. From 10/2013 to 07/2015, 344 patients (80.9 +/- 5.0 years, 44.5\% male) with an elective TAVI were consecutively enrolled prospectively in a multicentre cohort study. Prior to the intervention, sociodemographic parameters, echocardiographic data and comorbidities were documented. All patients performed a 6-min walk test, Short Form 12 and a Frailty Index (score consisting of activities of daily living, cognition, nutrition and mobility). Peri-interventional complications were documented. Vital status was assessed over telephone 12 months after TAVI. Predictors for all-cause mortality were identified using a multivariate regression model. At discharge, 333 patients were alive (in-hospital mortality 3.2\%; n = 11). During a follow-up of 381.0 +/- 41.9 days, 46 patients (13.8\%) died. The non-survivors were older (82.3 +/- 5.0 vs. 80.6 +/- 5.1 years; p = 0.035), had a higher number of comorbidities (2.6 +/- 1.3 vs. 2.1 +/- 1.3; p = 0.026) and a lower left ventricular ejection fraction (51.0 +/- 13.6 vs. 54.6 +/- 10.6\%; p = 0.048). Additionally, more suffered from diabetes mellitus (60.9 vs. 44.6\%; p = 0.040). While the global Frailty Index had no predictive power, its individual components, particularly nutrition (OR 0.83 per 1 pt., CI 0.72-0.95; p = 0.006) and mobility (OR 5.12, CI 1.64-16.01; p = 0.005) had a prognostic impact. Likewise, diabetes mellitus (OR 2.18, CI 1.10-4.32; p = 0.026) and EuroSCORE (OR 1.21 per 5\%, CI 1.07-1.36; p = 0.002) were associated with a higher risk of all-cause mortality. Besides EuroSCORE and diabetes mellitus, nutrition status and mobility of patients scheduled for TAVI offer prognostic information for 1-year all-cause mortality and should be advocated in the creation of contemporary TAVI risk scores.},
  language  = {en}
}