Volume 5, Issue S1 O6
Oral Presentation
Open Access

What is the best Rocker Shoe design?

Jonathan Chapman

Corresponding Author

Jonathan Chapman

School of Health, Sport and Rehabilitation Sciences, University of Salford, UK

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Stephen Preece

Stephen Preece

School of Health, Sport and Rehabilitation Sciences, University of Salford, UK

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Christopher Nester

Christopher Nester

School of Health, Sport and Rehabilitation Sciences, University of Salford, UK

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Bjoern Braunstein

Bjoern Braunstein

Institute of Biomechanics and Orthopaedics, German Sport University, Cologne, Germany

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Angela Höhne

Angela Höhne

Institute of Biomechanics and Orthopaedics, German Sport University, Cologne, Germany

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Gert-Peter Brüggermann

Gert-Peter Brüggermann

Institute of Biomechanics and Orthopaedics, German Sport University, Cologne, Germany

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First published: 10 April 2012
Citations: 1

Background

Rocker shoes are often prescribed to reduce in-shoe pressures in order to minimise the risk of ulceration in diabetic patients. However, the efficacy of the 3 principal design features of a rocker shoe (apex position, rocker angle and apex angle, see Figure 1) is unknown. Only one known study to date has systematically varied 2 of the 3 design features [1]. Therefore the aim of this study was to investigate the effect of the three principal design features, quantify inter subject variability and establish whether there is any difference in the response of the diabetic and the healthy cohort by recording in shoe plantar pressure.

Details are in the caption following the image

Apex position, rocker angle and apex angle in a rocker shoe

Materials and methods

By using 12 different rocker shoe designs and a control shoe, we systematically varied each design feature apex position (50-70% of shoe length), rocker angle (10-30°) and apex angle (70-100° to longitudinal shoe axis). For each shoe, peak 1st metatarsophalangeal joint (MPJ) pressure was measured during walking. Data was collected from 30 diabetic and 30 healthy subjects and repeated measures ANOVA used to investigate the mean effect of each feature. Descriptive statistics were used to investigate inter-subject variability and a two-way ANOVA was used to compare the response between the diabetic and healthy cohort.

Results

All three design features had a significant effect on peak 1st MPJ pressure. However, there was considerable inter-subject variability in the optimal rocker angle and optimal apex position. In contrast, an apex angle of between 90-100° resulted in minimal pressures across almost all subjects.

Conclusion

The results suggest that pressure offloading can be achieved by employing an apex angle of approximately 95°. However, rocker angle and apex position should be chosen on individual by individual basis.

Acknowledgments

The research leading to these results has received funding from the European Community's Seventh Framework Programme ([FP7/2007-2013] [FP7/2007-2011]) under grant agreement n° [NMP2-SE-2009-229261].

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