@article{Barisch2020,

title = {Effects of a 16-Week Multimodal Exercise Program on Physical Performance in Individuals with Dementia: A Multicenter Randomized Controlled Trial},

author = {Bettina Barisch-Fritz and Sandra Trautwein and Andrea Scharpf and Janina Krell-Roesch and Alexander Woll},

year  = {2020},

date = {2020-01-01},

journal = {Journal of Geriatric Physical Therapy},

keywords = {},

pubstate = {forthcoming},

tppubtype = {article}

}

@article{Trautwein2020,

title = {Effects of a 16-Week Multimodal Exercise Program on Gait Performance in Individuals with Dementia: a Multicenter Randomized Controlled Trial},

author = {Sandra Trautwein and Bettina Barisch-Fritz and Andrea Scharpf and Steffen Ringhoff and Janina Krell-Roesch and Alexander Woll},

year  = {2020},

date = {2020-01-01},

journal = {BMC Geriatrics},

volume = {20},

number = {245},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Krell2019c,

title = { Physical Exercise, APOE E4 Genotype And Cognitive Trajectories: The Mayo Clinic Study Of Aging},

author = {Janina Krell-Roesch and J. Syrjanen and M. Vassilaki and Bettina Barisch-Fritz and Sandra Trautwein and Klaus Boes and Alexander Woll and W. Kremers and M. Machulda and M. Mielke and D. Knopman and R. Petersen and Y. Geda},

editor = {Krell-Roesch, J.; Syrjanen, J. A.; Vassilaki, M.; Trautwein, S.; Barisch-Fritz, B.; Boes, K.; Woll, A.; Kremers, W. K.; Machulda, M. M.; Mielke, M. M.; Knopman, D. S.; Petersen, R. C.; Geda, Y. E. (2019). – 1785 May 30 4:00 PM - 4:15 PM . Medicine and science in sports and exercise, 51 (6), 473. doi:10.1249/01.mss.0000561924.66614.c4 },

doi = {Medicine and science in sports and exercise},

year  = {2019},

date = {2019-01-01},

journal = {Medicine and science in sports and exercise},

volume = {51},

number = {6},

pages = {473},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Krell2019b,

title = {Recommendations for assessing motor performance in individuals with dementia: suggestions of an expert panel – a qualitative approach  },

author = {Janina Krell-Roesch and J. Syrjanen and M. Vassilaki and Sandra Trautwein and Bettina Barisch-Fritz and K. Boes and Alexander Woll},

isbn = {10.1186/s11556-019-0212-7},

year  = {2019},

date = {2019-01-01},

journal = {European review of aging and physical activity},

volume = {16},

number = {5},

pages = {1-14},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Krell2019,

title = {Association of non-exercise physical activity in mid- and late-life with cognitive trajectories and the impact of APOE ε4 genotype status: the Mayo Clinic Study of Aging},

author = {Janina Krell-Roesch and Bettina Barisch-Fritz and Sandra Trautwein and Alexander Woll and others},

doi = {doi:10.1007/s10433-019-00513-1},

year  = {2019},

date = {2019-01-01},

journal = {European journal of ageing},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Niermann2014,

title = {Postdoc},

editor = {Christina Niermann and Julia Hapke and Bettina Barisch-Fritz},

url = {http://www.sportwissenschaftlicher-nachwuchs.de/swnw/upload/Heft%2021%281%29%20Postdoc%20%28C.%20Niermann%2C%20J.%20Hapke%20%26%20B.%20%20Barisch-Fritz%29.pdf},

year  = {2014},

date = {2014-11-01},

journal = {Ze-phir},

volume = {21},

number = {1},

series = {Ze-phir},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Fritz2014_3,

title = {Dynamic 3D scanning as a markerless method to calculate multi-segment foot kinematics during stance phase: Methodology and first application},

author = {Inge Van den Herrewegen and Kris Cuppens and Mario Broeckx and Bettina Barisch-Fritz and Jos Vander Sloten and Alberto Leardini and Louis Peeraer

},

url = {http://dx.doi.org/10.1016/j.jbiomech.2014.06.010},

year  = {2014},

date = {2014-06-01},

journal = {Journal of Biomechanics},

volume = {1},

abstract = {Multi-segmental foot kinematics have been analyzed by means of optical marker-sets or by means of inertial sensors, but never by markerless dynamic 3D scanning (D3DScanning). The use of D3DScans implies a radically different approach for the construction of the multi-segment foot model: the foot anatomy is identified via the surface shape instead of distinct landmark points. We propose a 4-segment foot model consisting of the shank (Sha), calcaneus (Cal), metatarsus (Met) and hallux (Hal). These segments are manually selected on a static scan. To track the segments in the dynamic scan, the segments of the static scan are matched on each frame of the dynamic scan using the iterative closest point (ICP) fitting algorithm. Joint rotations are calculated between Sha-Cal, Cal-Met, and Met-Hal. Due to the lower quality scans at heel strike and toe off, the first and last 10% of the stance phase is excluded. The application of the method to 5 healthy subjects, 6 trials each, shows a good repeatability (intra-subject standard deviations between 1° and 2.5°) for Sha-Cal and Cal-Met joints, and inferior results for the Met-Hal joint (>3°). The repeatability seems to be subject-dependent. For the validation, a qualitative comparison with joint kinematics from a corresponding established marker-based multi-segment foot model is made. This shows very consistent patterns of rotation. The ease of subject preparation and also the effective and easy to interpret visual output, make the present technique very attractive for functional analysis of the foot, enhancing usability in clinical practice.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Barisch-Fritz2014,

title = {Foot deformation during walking: differences between static and dynamic 3D foot morphology in developing feet},

author = {Bettina Barisch-Fritz and Timo Schmeltzpfenning and Clemens Plank and Stefan Grau},

year  = {2014},

date = {2014-02-28},

journal = {Ergonomics},

volume = {57 (6), pp. 921-33},

abstract = {The complex functions of feet require a specific composition, which is progressively achieved by developmental processes. This development should take place without being affected by footwear. The aim of this study is to evaluate differences between static and dynamic foot morphology in developing feet. Feet of 2554 participants (6-16 years) were recorded using a new scanner system (DynaScan4D). Each foot was recorded in static half and full weight-bearing and during walking. Several foot measures corresponding to those used in last construction were calculated. The differences were identified by one-way ANOVA and paired Student's t-test. Static and dynamic values of each foot measure must be considered to improve the fit of footwear. In particular, footwear must account for the increase of forefoot width and the decrease of midfoot girth. Furthermore, the toe box should have a more rounded shape. The findings are important for the construction of footwear for developing feet. },

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Barisch-Fritz2013,

title = {The effects of gender, age, and body mass on dynamic foot shape and foot deformation in children and adolescents},

author = {Bettina Barisch-Fritz and Timo Schmeltzpfenning and Clemens Plank and Tobias Hein and Stefan Grau},

url = {http://www.tandfonline.com/doi/abs/10.1080/19424280.2013.834982#.UxeWq_ldVsU},

year  = {2013},

date = {2013-09-17},

journal = {Footwear Science},

volume = {6},

number = {1},

pages = {27-39},

abstract = {Purpose: The aim of the present study is to identify influences of gender, age, and body mass on the dynamic foot morphology and foot deformation of maturing feet. Only advancements in scanner technology enable recording of foot morphology during walking.



Methods: Static and dynamic foot morphology of 2554 participants (6–16 years) were measured with DynaScan4D. Different foot measures corresponding to measures used in last construction were defined. Influences of gender, age, and body mass were calculated within the whole sample by multiple linear regression analysis and within matched groups by Student's t-test.



Results: The results of multiple linear regression analysis show similar patterns in boys and girls. The explained variance (R2) of the differences between static and dynamic foot morphology is low. R2 is higher for the maximum dynamic foot measures where the respective static value mainly predicts the dynamic value. Relative maximum dynamic values of foot height, width, and girth are higher in overweight, younger, and male participants. The deformation of the instep height and the angle of the fifth toe differ between overweight and normal weight participants. Between boys and girls as well as children and adolescents there are differences in the deformation of the ball area.



Conclusion: There are effects of gender, age, and body mass on dynamic foot morphology and deformation. The differences are small regarding the high variability. Thus, dynamic adjustments are applicable without customising to gender, age, and body mass. However, it is important to account for the high variability and for static and dynamic situations. This should be discussed with focus on use of resilient materials. These results can improve footwear design and thus contribute to healthy foot development.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bibi5,

title = {Anthropometric influences on dynamic foot shape: Measurements of plantar three-dimensional foot deformation},

author = {Bettina Fritz and Timo Schmeltzpfenning and Clemens Plank and Tobias Hein and Stefan Grau},

url = {http://www.tandfonline.com/doi/abs/10.1080/19424280.2013.789559#.UxeX1vldVsU},

year  = {2013},

date = {2013-05-01},

journal = {Footwear Science},

volume = {5},

number = {2},

pages = {121-129},

abstract = {Purpose: Advances in scanner technology enable the capture of feet during walking. Knowledge of dynamic deformation is essential for fundamental research and application-oriented improvements in terms of comfortable and functional footwear. The core hypothesis of our study is that there is a relationship between dynamic foot measures and the anthropometric dimensions age, gender and body mass index.



Methods: We measured the dynamic foot shape of 129 subjects (77 female, 52 male) with a plantar dynamic scanner system. During stance phase we captured maximum values (MaxDyn) and changes (ΔDyn) of length, width, and height measures as well as angles and indices of feet. We identified relationships between foot measures and anthropometric dimensions by two statistical methods: analysis of variance (ANOVA) between matched groups and multiple regression analysis within whole sample size.



Results: MaxDyn values of foot width measures are higher in overweight subjects. Most important predictors of MaxDyn are static measures and gender, regarding values that characterise the longitudinal arch as well as lateral ball length. More dynamic deformation was found in ball and arch angle as well as medial ball length and ball width of overweight subjects and in width measures of women. Multiple regression analysis detects body weight as an important predictor for changes in foot width measures as well as arch height and angle.



Conclusion: The ability to collect foot measures during natural walking is the basis for the following findings. First, our study confirms that static foot measures can be used as basic design criteria for footwear. Second, our study points out the influence of factors like gender and body weight on dynamic foot morphology. Consideration of these additional factors can essentially improve design methods and particularly the fit of footwear.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Parkinson,

title = {The influence of Nordic Walking training on sit-to-stand transfer in Parkinson Patients},

author = {Bettina Fritz and Silvia Rombach and Jana Goda AND Daniela Berg and Thomas Horstmann and Stefan Grau

},

year  = {2011},

date = {2011-01-01},

journal = {Gait & Posture},

volume = {34},

number = {2},

pages = {234-238},

keywords = {},

pubstate = {published},

tppubtype = {article}

}