Clinical trial NCT02339051: The Effect of Mechanical Loading on Bone Material Strength and Microarchitecture in Postmenopausal Women
Study type: INTERVENTIONAL
Overall status: COMPLETED
Phase: NA
Conditions: Osteoporosis
Postmenopause
Keywords: Basic Science
Lead sponsor: Sahlgrenska University Hospital
Sponsor class: OTHER
First posted: 2015-01-15
Enrollment: 20
Sex: FEMALE
Minimum age (years): 50
Maximum age (years): 60
Standard ages: ADULT
Accepts healthy volunteers: yes
Allocation: NA
Intervention model: SINGLE_GROUP
Primary purpose: TREATMENT

Brief summary: Osteoporosis is a large public health disease, characterized by low bone mass and micro architectural deterioration of bone tissue, resulting in enhanced bone fragility and consequent increase in fracture risk. Osteoporosis is present when bone mineral density (BMD) or content (BMC), measured by dual-energy X-ray absorptiometry (DXA), is more than 2.5 SDs below the mean value of the young adult. BMD measured by DXA is a surrogate measure of bone strength and is the primary determinant of fracture risk in both men and women. However, the majority of fragility fractures occur in women and in individuals who do not have osteoporosis according to these standards, indicating that BMD is just one among several indicators of bone health and that assessment of fracture risk should also rely on other bone properties. Newer imaging methods, such as quantitative computerized tomography (QCT), can complement information from DXA-measurements due to its ability to assess volumetric BMD and bone geometry and to differentiate between cortical and trabecular bone compartments. Bones are composite materials made predominantly of living cells, extracellular matrix, water and lipids. This composite nature of the bone material enables it to absorb stresses by elastic deformation and to endure high loads before fracturing. A new in vivo measurements of bone material strength can be used to evaluate bone mechanical properties and thereby the fracture risk. It is well established that the skeleton benefits, in terms of increased density, from regular physical activity. However, changes in BMD are still the main surrogate for assessing improvements in exercise-induced bone health despite the experimental findings as well as findings in humans showing that improvements in mechanical bone properties are independent of changes in BMD. These improvements in mechanical bone properties may be due to changes in bone shape or matrix composition. It could then be argued that a decrease in BMD is only one of the possible manifestations of osteoporosis and that bone strength or fragility is multifactorial. The objective for this study is to investigate the role of mechanical loading on bone material strength and bone microarchitecture in middle-aged women. The overall hypothesis is that mechanical loading is a regulator of bone material strength and microarchitecture in middle-aged women. This is an intervention study where the participants will act as their own controls. The investigators intend to include 40 postmenopausal and healthy women 50-60 years of age in the study. Advertisements in local papers and at the hospital will be used to come into contact with suitable study subjects. The women will be asked to perform an intervention program, including jumping on one leg every day during a 3-month period according to a protocol with a gradually increasing load/number of jumps. The women have to choose one of their legs as intervention-leg and stick to the chosen leg throughout the study. The leg without intervention will be used as a control. Both bone material strength (BMS) and bone microarchitecture will be measured before and after intervention in both legs (tibia). The operators measuring BMS (OsteoProbe®) and bone microarchitecture (high resolution pQCT) will be blinded concerning each participant's choice of leg for intervention. In addition, subjects will be asked to register daily physical activity in a structured diary. The primary outcome measure will be changes in bone material strength (BMS) in the lower leg (tibia) with intervention compared to the leg (tibia) without intervention. Participants will attend two clinic visits, at baseline and after 3 months when the intervention period is completed. The secondary outcome measures will be changes in total volumetric density, cortical volumetric density, cortical cross sectional area and trabecular bone volume fraction in the lower leg (tibia) with intervention compared to the leg (tibia) without intervention.


Eligibility criteria: Inclusion Criteria:

* aged between 50 and 60 years,
* no history of osteoporosis,
* not undertaken resistance training and/or weight-bearing impact exercise more than once a week in the past three months,
* be able and willing to perform the intervention program (one leg jumping), and
* be reachable via telephone once weekly throughout the study

Exclusion Criteria:

* current smoking,
* current or prior (past 6 months) use of hormone replacement therapy,
* having sustained a low trauma fragility fracture in the past 6 months,
* any medical condition (e.g. type 1 diabetes,
* chronic kidney failure or liver disease, cancer) or
* use of medication known to influence bone metabolism or fracture risk (e.g. glucocorticoids, thiazide diuretics, anticonvulsants, bisphosphonates), or
* initiating calcium or vitamin D supplementation in the preceding 6 months

Primary outcomes:
measure: Changes in bone material strength in the tibia (measured using OsteoProbe®)
timeFrame: Three months
Secondary outcomes:
measure: Changes in total volumetric density in the tibia (Measured using high-resolution pQCT device (HR-pQCT)
timeFrame: Three months
measure: Changes in cortical volumetric density in the tibia (Measured using high-resolution pQCT device (HR-pQCT)
timeFrame: Three months
measure: Changes in cortical cross sectional area in the tibia (Measured using high-resolution pQCT device (HR-pQCT)
timeFrame: Three months
measure: Changes in trabecular bone volume fraction in the tibia (Measured using high-resolution pQCT device (HR-pQCT)
timeFrame: Three months
Other outcomes:
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