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@ARTICLE{Hobert:139291,
      author       = {Hobert, Markus A and Meyer, Sinja I and Hasmann, Sandra E
                      and Metzger, Florian G and Sünkel, Ulrike and Eschweiler,
                      Gerhard W and Berg, Daniela and Maetzler, Walter},
      title        = {{G}ait {I}s {A}ssociated with {C}ognitive {F}lexibility:
                      {A} {D}ual-{T}asking {S}tudy in {H}ealthy {O}lder {P}eople.},
      journal      = {Frontiers in aging neuroscience},
      volume       = {9},
      issn         = {1663-4365},
      address      = {Lausanne},
      publisher    = {Frontiers Research Foundation},
      reportid     = {DZNE-2020-05613},
      pages        = {154},
      year         = {2017},
      abstract     = {Objectives: To analyze which gait parameters are primarily
                      influenced by cognitive flexibility, and whether such an
                      effect depends on the walking condition used. Design:
                      Cross-sectional analysis. Setting: Tübingen evaluation of
                      Risk factors for Early detection of Neurodegenerative
                      Disorders. Participants: A total of 661 non-demented
                      individuals (49-80 years). Measurements: A gait assessment
                      with four conditions was performed: a 20 m walk at
                      convenient speed (C), at fast speed (F), at fast speed while
                      checking boxes (FB), and while subtracting serial 7s (FS).
                      Seven gait parameters from a wearable sensor-unit
                      (McRoberts, Netherlands) were compared with delta
                      Trail-Making-Test (dTMT) values, which is a measure of
                      cognitive flexibility. Walking strategies of good and poor
                      dTMT performers were compared by evaluating the patterns of
                      gait parameters across conditions. Results: Five parameters
                      correlated significantly with the dTMT in the FS condition,
                      two parameters in the F and FB condition, and none in the C
                      condition. Overall correlations were relatively weak. Gait
                      speed was the gait parameter that most strongly correlated
                      with the dTMT (r2 = $7.4\%).$ In good, but not poor, dTMT
                      performers differences between FB and FS were significantly
                      different in variability-associated gait parameters.
                      Conclusion: Older individuals need cognitive flexibility to
                      perform difficult walking conditions. This association is
                      best seen in gait speed. New and particularly relevant for
                      recognition and training of deficits is that older
                      individuals with poor cognitive flexibility have obviously
                      fewer resources to adapt to challenging walking conditions.
                      Our findings partially explain gait deficits in older adults
                      with poor cognitive flexibility.},
      cin          = {Ext UKT / Ext UKT-Trend / AG Berg / Core ICRU / AG
                      Maetzler},
      ddc          = {610},
      cid          = {I:(DE-2719)5000058 / I:(DE-2719)5000056 /
                      I:(DE-2719)5000055 / I:(DE-2719)1240005 /
                      I:(DE-2719)5000024},
      pnm          = {345 - Population Studies and Genetics (POF3-345) / 344 -
                      Clinical and Health Care Research (POF3-344) / 342 - Disease
                      Mechanisms and Model Systems (POF3-342)},
      pid          = {G:(DE-HGF)POF3-345 / G:(DE-HGF)POF3-344 /
                      G:(DE-HGF)POF3-342},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:28596731},
      pmc          = {pmc:PMC5442228},
      doi          = {10.3389/fnagi.2017.00154},
      url          = {https://pub.dzne.de/record/139291},
}