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Structural adaptations to bone loss in aging men and women
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“The overall increase in I max and I min may also reflect age‐related endocortical resorption and compensatory periosteal apposition, ie, shift of the cortex further from the neutral axis.( 48 )”
From Regular Strength and Sprint Training Counteracts Bone Aging: A 10‐Year Follow‐Up in Male Masters Athletes (2021) · cites this paper as [48]
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Research works printed but not linked: 23
- Melton, 2000, Who has osteoporosis? A conflict between clinical and public health perspectives, J. Bone Miner. Res., 15, 2309, 10.1359/jbmr.2000.15.12.2309 · DOI
- Beck, 2001, Structural adaptation to changing skeletal load in the progression toward hip fragility: the study of osteoporotic fractures, J. Bone Miner. Res., 16, 1108, 10.1359/jbmr.2001.16.6.1108 · DOI · Paper page
- Seeman, 2003, Periosteal bone formation—A neglected determinant of bone strength, Perspect. N. Engl. J. Med., 349, 320, 10.1056/NEJMp038101 · DOI · Paper page
- Orwoll, 2003, Toward an expanded understanding of the role of the periosteum in skeletal health, Perspect. J. Bone Miner. Res., 18, 949, 10.1359/jbmr.2003.18.6.949 · DOI
- Russo, 2003, Aging bone in men and women: beyond changes in bone mineral density, Osteoporos. Int., 14, 531, 10.1007/s00198-002-1322-y · DOI
- Frost, 1987, The mechanostat: a proposed pathogenetic mechanism of osteoporoses and the bone mass effects of mechanical and nonmechanical agents, Bone Miner., 2, 73
- Duan, 2001, The biomechanical basis of vertebral body fragility in men and women, J. Bone Miner. Res., 16, 2276, 10.1359/jbmr.2001.16.12.2276 · DOI
- Duan, 2001, Sexual dimorphism in vertebral fragility is more the result of gender differences in age-related bone gain than bone loss, J. Bone Miner. Res., 16, 2267, 10.1359/jbmr.2001.16.12.2267 · DOI · Paper page
- Ruff, 1988, Sex differences in age-related remodeling of the femur and tibia, J. Orthop. Res., 6, 886, 10.1002/jor.1100060613 · DOI · Paper page
- Ferrucci, 2000, Subsystems contributing to the decline in ability to walk: bridging the gap between epidemiology and geriatric practice in the InCHIANTI study, J. Am. Geriatr. Soc., 48, 1618, 10.1111/j.1532-5415.2000.tb03873.x · DOI · Paper page
- Augat, 1998, Accuracy of cortical and trabecular bone measurements with peripheral quantitative computed tomography (pQCT), Phys. Med. Biol., 43, 2873, 10.1088/0031-9155/43/10/015 · DOI
- Bousson, 2000, CT of the middiaphyseal femur: cortical bone mineral density and relation to porosity, Radiology, 217, 179, 10.1148/radiology.217.1.r00se11179 · DOI
- Hangartner, 1996, Evaluation of cortical bone by computed tomography, J. Bone Miner. Res., 11, 1518, 10.1002/jbmr.5650111019 · DOI
- Augat, 1998, Accuracy of cortical and trabecular bone measurements with peripheral quantitative computed tomography (pQCT), Phys. Med. Biol., 43, 2873, 10.1088/0031-9155/43/10/015 · DOI
- Cheng, 1995, Estimation of structural and geometrical properties of cortical bone by computerized tomography in 78-year-old women, J. Bone Miner. Res., 10, 139, 10.1002/jbmr.5650100120 · DOI
- Ruff, 1984, Allometry between length and cross-sectional dimensions of the femur and tibia in Homo sapiens, Am. J. Phys. Anthropol., 65, 347, 10.1002/ajpa.1330650403 · DOI
- Bousson, 2001, Distribution of intracortical porosity in human midfemoral cortex by age and gender, J. Bone Miner. Res., 16, 1308, 10.1359/jbmr.2001.16.7.1308 · DOI
- Maggio, 1997, Age-related cortical bone loss at the metacarpal, Calcif. Tissue Int., 60, 94, 10.1007/s002239900193 · DOI
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- Beck, 2000, Structural trends in the aging femoral neck and proximal shaft: analysis of the Third National Health and Nutrition Examination Survey dual-energy X-ray absorptiometry data, J. Bone Miner. Res., 15, 2297, 10.1359/jbmr.2000.15.12.2297 · DOI · Paper page
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Cited by
Engelke, K., Adams, J. E., Armbrecht, G., Augat, P., Bogado, C. E., Bouxsein, M. L., Felsenberg, D., Ito, M., Prevrhal, S., Hans, D. B., et al. (2008) · Journal of Clinical Densitometry · doi:10.1016/j.jocd.2007.12.010 · Cited by 617
Golds, G., Houdek, D., & Arnason, T. (2017) · International Journal of Endocrinology · doi:10.1155/2017/4602129 · Cited by 150
Moriishi, T., Fukuyama, R., Ito, M., Miyazaki, T., Maeno, T., Kawai, Y., Komori, H., & Komori, T. (2012) · PLoS ONE · doi:10.1371/journal.pone.0040143 · Cited by 105
Suominen, T. H., Alén, M., Törmäkangas, T., Degens, H., Rittweger, J., Heinonen, A., Suominen, H., & Korhonen, M. T. (2021) · JBMR Plus · doi:10.1002/jbm4.10513 · Cited by 17
Metadata
- Authors
- Russo, C. R., Lauretani, F., Seeman, E., Bartali, B., Bandinelli, S., Di Iorio, A., Guralnik, J., & Ferrucci, L.
- Venue
- Bone
- Publisher
- Elsevier BV
- Published
- 2006-01
- Volume
- 38
- Issue
- 1
- Pages
- 112-118
- ISSN
- 8756-3282
- Cited by
- 139
- References
- 0
- Language
- en
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.