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April 18, 2017; 88 (16 Supplement) April 28, 2017

What factors predict Fitbit adherence in Stroke and Parkinson disease? (P6.029)

Katrina Schrader, Helena Mentis, Michael Phipps, Erik Barr, Ann Gruber-Baldini, Karen Yarbrough, F. Rainer Von Coelln, Lisa Shulman
First published April 17, 2017,
Katrina Schrader
1University of Maryland School of Medicine Baltimore MD United States
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Helena Mentis
3Information Systems, University of Maryland Baltimore County Baltimore MD United States
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Michael Phipps
1University of Maryland School of Medicine Baltimore MD United States
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Erik Barr
2Epidemiology and Public Health, Division of Gerontology, University of Maryland School of Medicine Baltimore MD United States
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Ann Gruber-Baldini
2Epidemiology and Public Health, Division of Gerontology, University of Maryland School of Medicine Baltimore MD United States
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Karen Yarbrough
1University of Maryland School of Medicine Baltimore MD United States
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F. Rainer Von Coelln
1University of Maryland School of Medicine Baltimore MD United States
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Lisa Shulman
1University of Maryland School of Medicine Baltimore MD United States
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Citation
What factors predict Fitbit adherence in Stroke and Parkinson disease? (P6.029)
Katrina Schrader, Helena Mentis, Michael Phipps, Erik Barr, Ann Gruber-Baldini, Karen Yarbrough, F. Rainer Von Coelln, Lisa Shulman
Neurology Apr 2017, 88 (16 Supplement) P6.029;

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Article Information

vol. 88 no. 16 Supplement P6.029

Published By: 
Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology
Print ISSN: 
0028-3878
Online ISSN: 
1526-632X
History: 
  • First Published April 17, 2017.

Copyright & Usage: 
© 2017

Author Disclosures

    1. Katrina Schrader1,
    2. Helena Mentis3,
    3. Michael Phipps1,
    4. Erik Barr2,
    5. Ann Gruber-Baldini2,
    6. Karen Yarbrough1,
    7. F. Rainer Von Coelln1 and
    8. Lisa Shulman1
  1. Katrina Schrader1,
  2. Helena Mentis3,
  3. Michael Phipps1,
  4. Erik Barr2,
  5. Ann Gruber-Baldini2,
  6. Karen Yarbrough1,
  7. F. Rainer Von Coelln1 and
  8. Lisa Shulman1
  1. 1University of Maryland School of Medicine Baltimore MD United States
  2. 2Epidemiology and Public Health, Division of Gerontology, University of Maryland School of Medicine Baltimore MD United States
  3. 3Information Systems, University of Maryland Baltimore County Baltimore MD United States

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