Bone Strength Clinical Trial
Official title:
Bone Geometry, Strength, and Biomechanical Changes in Runners With a History of Stress Fractures
Stress fractures are a common and debilitating injury for a variety of athletes however
current evidence does not clearly allow easy prediction of athletes at risk for a first
fracture. Animal and some preliminary human evidence suggest that assessment of bone
strength, muscle size and running mechanics may be primary risk factors for stress
fractures. The investigators study will help determine which, if any, of these modifiable
risk factors could help identify athletes at risk for stress fracture.
Competitive female distance runners will be recruited for this study. Participants will
placed into a stress fracture or control group based on stress fracture history. Dual energy
x-ray absorptiometry (DXA) and peripheral Quantitative Computed Tomography (pQCT) will be
used to assess bone structure and strength. Running mechanics will be assessed during a
30-40 minute fatiguing run. A treadmill with an embedded force plate and high speed video
will be used to assess changes in running mechanics throughout the run.
The purpose of this project will be to
1. explore differences in volumetric bone mineral density (vBMD), bone geometry, and
muscle cross sectional area (MCSA) using pQCT
2. explore changes in load (GRFs) and running mechanics that occur during a fatiguing run
in runners with and without a history of stress fracture.
Stress fractures are among the most prevalent sports injuries, particularly in sports
involving running, jumping, and repetitive cyclic loading. Stress fractures have been
diagnosed in as many as 20% of athletes. The highest prevalence of stress fractures among
athletes is reported in members of track and field teams with rates from 10-31% (22). Stress
fractures are also a common occurrence in military basic training. U.S. military reports
from the recruit populations indicate an incidence rate of 0.2 to 4% in men, and 1 to 7% in
women (1).
Due to the prevalence of stress fractures in the military and athletic population, as well
as the costly nature of the injury in terms of recovery time, it is important to understand
the causative factors and the means by which these factors relate and interact (25, 29) .
The most commonly studied and measured risk factors for stress fractures are surrogates of
bone strength—particularly bone mineral density. Although several previous studies have
explored the relationship of areal bone mineral density (aBMD, g/cm2) to stress fractures,
the findings remain controversial (6, 7, 9, 12, 17, 28). A majority of these studies have
used dual energy x-ray absorptiometry (DXA) and aBMD as the assessment of bone strength. DXA
is limited in its 2-dimensional assessment of a 3-dimensional bone and is also unable to
distinguish between different types of bone(13, 30). Given the limitations of DXA imaging,
measuring bone properties using peripheral Quantitative Computed Tomography (pQCT) may shed
light on inconsistencies found in the current literature. Peripheral QCT is a 3-dimensional
imaging technique that allows for measurement of both trabecular and cortical volumetric
bone density, bone geometry (total area, cortical area), and estimates of bone mechanical
strength (i.e. cross-sectional moment of inertia and section modulus) which better represent
a bones mechanical competence (26, 31).
With any fracture, a bone will fail only if the load on the bone is higher than the strength
of that bone. In the case of stress fractures, it has been suggested that those at risk for
stress fracture may alter biomechanics with fatigue such that strain on bone is increased
with fatigue causing an increase in microdamage and ultimate fracture. Research measuring
kinetic and kinematic variables has shown changes in GRFs (10, 11, 16, 19, 21), strain
magnitude, strain rate, strain distributions (8, 14, 15, 24), and landing strategies after
the onset of muscle fatigue in healthy individuals. It has also been shown that when muscles
are fatigued, their ability to absorb impact forces during landing, their internal timing
ability between functioning muscle groups, and ability to counter bending moments is
decreased (2-5, 18, 20, 23). It has been hypothesized that runners who are ineffective at
altering movement kinematics experience greater increases in loading rates and impact
magnitudes, making them more susceptible to injury than runners who are able to make
appropriate alterations (16). However, the majority of these studies have been conducted
during resting conditions and in athletes with no history of injury. No previous studies to
our knowledge have adequately characterized the change in biomechanics during a fatiguing
run in athletes with and without a history of stress fracture.
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Observational Model: Cohort, Time Perspective: Prospective
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