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Spatial Heterogeneity in the Response of the Proximal Femur to Two Lower‐Body Resistance Exercise Regimens
Authors:Thomas F Lang  Isra H Saeed  Timothy Streeper  Julio Carballido‐Gamio  Roy J Harnish  Lynda A Frassetto  Stuart MC Lee  Jean D Sibonga  Joyce H Keyak  Barry A Spiering  Carlos M Grodsinsky  Jacob J Bloomberg  Peter R Cavanagh
Institution:1. Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA;2. Wyle Science, Technology & Engineering Group, Houston, TX, USA;3. NASA Johnson Spaceflight Center, Houston, TX, USA;4. Department of Radiological Sciences, University of California, Irvine, Irvine, CA, USA;5. Department of Biomedical Engineering, University of California, Irvine, Irvine, CA, USA;6. Department of Mechanical and Aerospace Engineering, University of California, Irvine, Irvine, CA, USA;7. Zin Technologies, Cleveland, OH, USA;8. Department of Orthopaedic Surgery and Sports Medicine, University of Washington, Seattle, WA, USA
Abstract:Understanding the skeletal effects of resistance exercise involves delineating the spatially heterogeneous response of bone to load distributions from different muscle contractions. Bone mineral density (BMD) analyses may obscure these patterns by averaging data from tissues with variable mechanoresponse. To assess the proximal femoral response to resistance exercise, we acquired pretraining and posttraining quantitative computed tomography (QCT) images in 22 subjects (25–55 years, 9 males, 13 females) performing two resistance exercises for 16 weeks. One group (SQDL, n = 7) performed 4 sets each of squats and deadlifts, a second group (ABADD, n = 8) performed 4 sets each of standing hip abductions and adductions, and a third group (COMBO, n = 7) performed two sets each of squat/deadlift and abduction/adduction exercise. Subjects exercised three times weekly, and the load was adjusted each session to maximum effort. We used voxel‐based morphometry (VBM) to visualize BMD distributions. Hip strength computations used finite element modeling (FEM) with stance and fall loading conditions. We used QCT analysis for cortical and trabecular BMD, and cortical tissue volume. For muscle size and density, we analyzed the cross‐sectional area (CSA) and mean Hounsfield unit (HU) in the hip extensor, flexor, abductor, and adductor muscle groups. Whereas SQDL increased vertebral BMD, femoral neck cortical BMD and volume, and stance hip strength, ABADD increased trochanteric cortical volume. The COMBO group showed no changes in any parameter. VBM showed different effects of ABADD and SQDL exercise, with the former causing focal changes of trochanteric cortical bone, and the latter showing diffuse changes in the femoral neck and head. ABADD exercise increased adductor CSA and HU, whereas SQDL exercise increased the hip extensor CSA and HU. In conclusion, we observed different proximal femoral bone and muscle tissue responses to SQDL and ABADD exercise. This study supports VBM and volumetric QCT (vQCT) to quantify the spatially heterogeneous effects of types of muscle contractions on bone. © 2014 American Society for Bone and Mineral Research.
Keywords:RESISTANCE EXERCISE  BONE DENSITY  MUSCLE ATTENUATION  BONE STRENGTH  QUANTITATIVE COMPUTED TOMOGRAPHY  FINITE ELEMENT MODELING
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