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Cited by 40

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Jump Power and Force Have Distinct Associations With Cortical Bone Parameters: Findings From a Population Enriched by Individuals With High Bone Mass

Hardcastle, Sarah A., Gregson, Celia L., Rittweger, Jörn, Crabtree, Nicola, Ward, Kate, Tobias, Jon H.·2014·The Journal of Clinical Endocrinology & Metabolism
DOI 10.1210/jc.2013-2837
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Abstract

Context: Little is known of the relationships between muscle function and bone, based on the recently developed technique of jumping mechanography. Objective: Our objective was to determine associations between peak ground reaction force and peak power during a 1-legged hopping test and a single 2-legged jump, respectively, and cortical bone parameters. Design and Setting: This was a cross-sectional observational study in participants from the high bone mass cohort. Participants: Participants included 70 males (mean age 58 years) and 119 females (mean age 56 years); high bone mass cases and controls were pooled. Main Outcome Measures: Total hip bone mineral density (BMD) (measured by dual-energy x-ray absorptiometry scanning) and mid-tibial peripheral quantitative computed tomography (Stratec XCT2000L). Results: Jump power was positively related to hip BMD (standardized β [95% confidence interval] = 0.29 [0.07, 0.51], P = .01), but hopping force was not (0.03 [−0.16, 0.22], P = .74) (linear regression analysis adjusted for age, gender, height, and weight). In 113 participants with force and peripheral quantitative computed tomography data, both jump power and hopping force were positively associated with tibial strength strain index (0.26 [0.09, 0.44], P < .01; and 0.24 [0.07, 0.42], P = .01 respectively). Although hopping force was positively associated with bone size (total bone area 0.22 [0.03, 0.42], P = .02), jump power was not (0.10 [−0.10, 0.30], P = .33). In contrast, jump power was inversely associated with endocortical circumference adjusted for periosteal circumference (−0.24 [−0.40, −0.08], P < .01) whereas no association was seen for hopping force (−0.10 [−0.26, 0.07], P = .24). Conclusions: Although power and force are both positively associated with cortical bone strength, distinct mechanisms appear to be involved because power was primarily associated with reduced endocortical expansion (reflected by endocortical circumference adjusted for periosteal circumference, and hip BMD), whereas force was associated with increased periosteal expansion (reflected by total bone area).

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Cites

  • Bone and skeletal muscle: neighbors with close ties

    DiGirolamo, D. J., Kiel, D. P., & Esser, K. A. (2013) · Journal of Bone and Mineral Research · doi:10.1002/jbmr.1969 · Cited by 193 · cited 1×

    “Loss of muscle function is also likely to play a key role in the pathogenesis of osteoporosis, as reflected by evidence that sarcopenia contributes to bone loss and increased fracture risk in older populations (15, 16).”

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Research works printed but not linked: 35

  1. Frost, 1987, Bone. “mass” and the “mechanostat”: a proposal, Anatomical Rec, 219, 1, 10.1002/ar.1092190104 · DOI · Paper page
  2. Frost, 2003, Bone's mechanostat: a 2003 update, Anat Rec, 275, 1081, 10.1002/ar.a.10119 · DOI · Paper page
  3. Bailey, 2010, Association of body composition and muscle function with hip geometry and BMD in premenopausal women, Ann Hum Biol, 37, 524, 10.3109/03014460903443207 · DOI
  4. Ferretti, 1998, Gender-related differences in the relationship between densitometric values of whole-body bone mineral content and lean body mass in humans between 2 and 87 years of age, Bone, 22, 683, 10.1016/S8756-3282(98)00046-5 · DOI
  5. Burr, 1997, Muscle strength, bone mass, and age-related bone loss, J Bone Miner Res, 12, 1547, 10.1359/jbmr.1997.12.10.1547 · DOI · Paper page
  6. Robling, 2009, Is bone's response to mechanical signals dominated by muscle forces?, Med Sci Sports Exerc, 41, 2044, 10.1249/MSS.0b013e3181a8c702 · DOI
  7. Capozza, 2004, A DXA study of muscle-bone relationships in the whole body and limbs of 2512 normal men and pre- and post-menopausal women, Bone, 35, 283, 10.1016/j.bone.2004.03.010 · DOI · Paper page
  8. Compston, 1992, Body composition and bone mass in post-menopausal women, Clin Endocrinol (Oxf), 37, 426, 10.1111/j.1365-2265.1992.tb02354.x · DOI
  9. Tsunenari, 1993, Age- and gender-related changes in body composition in Japanese subjects, J Bone Miner Res, 8, 397, 10.1002/jbmr.5650080403 · DOI
  10. Bauer, 1993, Factors associated with appendicular bone mass in older women. The Study of Osteoporotic Fractures Research Group, Ann Intern Med, 118, 657, 10.7326/0003-4819-118-9-199305010-00001 · DOI · Paper page
  11. Nguyen, 2000, Osteoporosis in elderly men and women: effects of dietary calcium, physical activity, and body mass index, J Bone Miner Res, 15, 322, 10.1359/jbmr.2000.15.2.322 · DOI · Paper page
  12. Snow-Harter, 1990, Muscle strength as a predictor of bone mineral density in young women, J Bone Miner Res, 5, 589, 10.1002/jbmr.5650050608 · DOI · Paper page
  13. Cousins, 2010, Muscle power and physical activity are associated with bone strength in older men: The osteoporotic fractures in men study, Bone, 47, 205, 10.1016/j.bone.2010.05.003 · DOI
  14. Ashe, 2008, Muscle power is related to tibial bone strength in older women, Osteoporos Int, 19, 1725, 10.1007/s00198-008-0655-6 · DOI
  15. Gielen, 2012, Musculoskeletal frailty: a geriatric syndrome at the core of fracture occurrence in older age, Calcif Tissue Int, 91, 161, 10.1007/s00223-012-9622-5 · DOI
  16. Anliker, 2011, Maximum ground reaction force in relation to tibial bone mass in children and adults, Med Sci Sports Exerc, 43, 2102, 10.1249/MSS.0b013e31821c4661 · DOI
  17. Ward, 2009, Vitamin D status and muscle function in post-menarchal adolescent girls, J Clin Endocrinol Metab, 94, 559, 10.1210/jc.2008-1284 · DOI · Paper page
  18. Rittweger, 2004, Reproducibility of the jumping mechanography as a test of mechanical power output in physically competent adult and elderly subjects, J Am Geriatr Soc, 52, 128, 10.1111/j.1532-5415.2004.52022.x · DOI
  19. Veilleux, 2010, Reproducibility of jumping mechanography in healthy children and adults, J Musculoskelet Neuronal Interact, 10, 256
  20. Runge, 2004, Is muscle power output a key factor in the age-related decline in physical performance? A comparison of muscle cross section, chair-rising test and jumping power, Clin Physiol Funct Imaging, 24, 335, 10.1111/j.1475-097X.2004.00567.x · DOI · Paper page
  21. Binkley, 2008, Muscle-bone relationships in the lower leg of healthy pre-pubertal females and males, J Musculoskelet Neuronal Interact, 8, 239
  22. Gregson, 2013, The high bone mass phenotype is characterised by a combined cortical and trabecular bone phenotype: findings from a pQCT case-control study, Bone, 52, 380, 10.1016/j.bone.2012.10.021 · DOI
  23. Gregson, 2012, ‘Sink or swim’: an evaluation of the clinical characteristics of individuals with high bone mass, Osteoporos Int, 23, 643, 10.1007/s00198-011-1603-4 · DOI
  24. Craig, 2003, International physical activity questionnaire: 12-country reliability and validity, Med Sci Sports Exerc, 35, 1381, 10.1249/01.MSS.0000078924.61453.FB · DOI · Paper page
  25. Ward, 2005, Recommendations for thresholds for cortical bone geometry and density measurement by peripheral quantitative computed tomography, Calcif Tissue Int, 77, 275, 10.1007/s00223-005-0031-x · DOI
  26. 2004, XCT 2000 Manual Software Version 5.50, M-pQCT550.002
  27. World Medical Association, Declaration of Helsinki - Ethical Principles for Medical Research Involving Human Subjects, 10.1515/9783110208856.233 · DOI · Paper page
  28. Rantalainen, 2010, Neuromuscular performance and body mass as indices of bone loading in premenopausal and postmenopausal women, Bone, 46, 964, 10.1016/j.bone.2010.01.002 · DOI
  29. Rantalainen, 2009, Bone rigidity to neuromuscular performance ratio in young and elderly men, Bone, 45, 956, 10.1016/j.bone.2009.07.014 · DOI
  30. Hamrick, 2006, Increased muscle mass with myostatin deficiency improves gains in bone strength with exercise, J Bone Miner Res, 21, 477, 10.1359/JBMR.051203 · DOI
  31. Sayers, 2011, Habitual levels of vigorous, but not moderate or light, physical activity is positively related to cortical bone mass in adolescents, J Clin Endocrinol Metab, 96, E793, 10.1210/jc.2010-2550 · DOI
  32. Vainionpää, 2007, Effect of impact exercise and its intensity on bone geometry at weight-bearing tibia and femur, Bone, 40, 604, 10.1016/j.bone.2006.10.005 · DOI
  33. Heinonen, 2001, Mineral mass, size, and estimated mechanical strength of triple jumpers' lower limb, Bone, 29, 279, 10.1016/S8756-3282(01)00574-9 · DOI
  34. Nikander, 2010, Cross-sectional geometry of weight-bearing tibia in female athletes subjected to different exercise loadings, Osteoporos Int, 21, 1687, 10.1007/s00198-009-1101-0 · DOI
  35. Duncan, 2009, Mutations in LRP5 and SOST are a rare cause of high bone mass in the general population, Bone, 44, S340, 10.1016/j.bone.2009.03.142 · DOI

Cited by

Metadata

Authors
Hardcastle, S. A., Gregson, C. L., Rittweger, J., Crabtree, N., Ward, K., & Tobias, J. H.
Venue
The Journal of Clinical Endocrinology & Metabolism
Publisher
The Endocrine Society
Published
2014-01-01
Volume
99
Issue
1
Pages
266-275
ISSN
  • 0021-972X
  • 1945-7197
DOI
10.1210/jc.2013-2837
Cited by
40
References
1
Language
en

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