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Influence of Post-Stroke Gait on Bone
Density
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Principal Investigators: Gary S. Beaupré, PhD and Steven A.
Kautz, PhD
Project Staff: Henry L. Lew, MD, PhD; Robert T. Whalen, PhD; B. Jenny
Kiratli, PhD; Lise C. Worthen, MS; C. Maria Kim, MSc, PT; Jill S. Higginson,
MS; and Lampros Kourtis
Project Category: Bone & Joint, Osteoporosis, and Stroke - 2003
Objective: The underlying hypothesis for this study is that the
changes in habitual skeletal loading following stroke are in large part
responsible for the observed changes in bone density. This hypothesis provides
the motivation for a number of key questions, the answers to which are
important for improving our understanding of stroke-related osteoporosis and
for providing a theoretical basis for potential rehabilitation interventions
and goals. In the proposed study we will use experimental and computational
approaches to answer the following key questions:
What are the experimentally determined relationships between measured
gait parameters (such as self-selected walking speed and peak ground reaction
force magnitude during the stance phase of gait) and bone mineral density at
the calcaneus and hip on the affected and non-affected sides?
What are the experimentally determined relationships between the ground
reaction force time histories recorded over three consecutive days and bone
mineral density at the calcaneus and hip on the affected and non-affected
sides?
Do the side-to-side asymmetries in bone density correlate with the
measured asymmetries in the ground reaction forces between the affected and
non-affected sides?
What are the relationships between the hip joint reaction forces
calculated from gait analysis data and measured bone mineral density for both
the affected and non-affected sides?
How well can computer models predict changes in bone density in stroke
patients as a function of time post-stroke based on estimates of skeletal
loading obtained from gait analysis?
Milestones:
Funding Source: VA RR&D Merit Review
Funding Status: Funded
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