The DOI matches its Crossref record.
Age and bone mass as predictors of fracture in a prospective study.
Open accessAbstract
To study the effect of bone mass on the risk of fracture, we followed 521 Caucasian women over an average of 6.5 yr and took repeated bone mass measurements at the radius. We observed 138 nonspinal fractures in 3,388 person-yr. The person-years of follow-up and the incident fractures were cross-classified by age and bone mass. The incidence of fracture was then fitted to a log-linear model in age and bone mass. It was found that incidence of fracture increased with both increasing age and decreasing radius bone mass. When subsets of fractures were examined it was found that age was a stronger predictor of hip fractures, whereas midshaft radius bone mass was a stronger predictor of fractures at the distal forearm. We concluded that bone mass is a useful predictor of fractures but that other age-related factors associated with fractures need to be identified.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Professor Kanis, J. A., Melton, L. J., Christiansen, C., Johnston, C. C., & Khaltaev, N. (1994) · Journal of Bone and Mineral Research · doi:10.1002/jbmr.5650090802 · Cited by 3,849
Self-citationMarshall, D., Johnell, O., & Wedel, H. (1996) · BMJ · doi:10.1136/bmj.312.7041.1254 · Cited by 3,709
FRAX™ and the assessment of fracture probability in men and women from the UK
Kanis, J. A., Johnell, O., Oden, A., Johansson, H., & McCloskey, E. (2008) · Osteoporosis International · doi:10.1007/s00198-007-0543-5 · Cited by 2,467
European guidance for the diagnosis and management of osteoporosis in postmenopausal women
on behalf of the Scientific Advisory Board of the European Society for Clinical and Economic Aspects of Osteoporosis (ESCEO) and the Committees of Scientific Advisors and National Societies of the International Osteoporosis Foundation (IOF), Kanis, J. A., Cooper, C., Rizzoli, R., & Reginster, J.-Y. (2019) · Osteoporosis International · doi:10.1007/s00198-018-4704-5 · Cited by 1,900
Estrogens and androgens in skeletal physiology and pathophysiology
Almeida, M., Laurent, M. R., Dubois, V., Claessens, F., O'Brien, C. A., Bouillon, R., Vanderschueren, D., & Manolagas, S. C. (2017) · Physiological Reviews · doi:10.1152/physrev.00033.2015 · Cited by 860
Matkovic, V, Jelic, T., Wardlaw, G. M., Ilich, J. Z., Goel, P. K., Wright, J. K., Andon, M. B., Smith, K. T., & Heaney, R. P. (1994) · Journal of Clinical Investigation · doi:10.1172/jci117034 · Cited by 806
Wolff, I., van Croonenborg, J. J., Kemper, H. C. G., Kostense, P. J., & Twisk, J. W. R. (1999) · Osteoporosis International · doi:10.1007/s001980050109 · Cited by 589
Rose's Strategy of Preventive Medicine
Rose, G., Khaw, K.-T., & Marmot, M. (2008) · doi:10.1093/acprof:oso/9780192630971.001.0001 · Cited by 490
Manolagas, S. C., & Parfitt, A. M. (2010) · Trends in Endocrinology & Metabolism · doi:10.1016/j.tem.2010.01.010 · Cited by 404
Development and use of FRAX® in osteoporosis
Kanis, J. A., McCloskey, E. V., Johansson, H., Oden, A., Ström, O., & Borgström, F. (2010) · Osteoporosis International · doi:10.1007/s00198-010-1253-y · Cited by 402
Siris, E. S., Brenneman, S. K., Barrett-Connor, E., Miller, P. D., Sajjan, S., Berger, M. L., & Chen, Y.-T. (2006) · Osteoporosis International · doi:10.1007/s00198-005-0027-4 · Cited by 270
Raisz, L. G. (2005) · New England Journal of Medicine · doi:10.1056/nejmcp042092 · Cited by 262
Effect of aging on the toughness of human cortical bone: evaluation by R-curves
Nalla, R. K., Kruzic, J. J., Kinney, J. H., & Ritchie, R. O. (2004) · Bone · doi:10.1016/j.bone.2004.07.016 · Cited by 244
Liu, X. S., Sajda, P., Saha, P. K., Wehrli, F. W., & Guo, X. E. (2006) · Journal of Bone and Mineral Research · doi:10.1359/jbmr.060716 · Cited by 207
Accelerated Bone Loss in Hypothyroid Patients Overtreated with L-Thyroxine
Stall, G. M., Harris, S., Sokoll, L. J., & Dawson-Hughes, B. (1990) · Annals of Internal Medicine · doi:10.7326/0003-4819-113-4-265 · Cited by 203
Yu, W., Glüer, C., Grampp, S., Jergas, M., Fuerst, T., Wu, C. Y., Lu, Y., Fan, B., & Genant, H. K. (1995) · Osteoporosis International · doi:10.1007/bf01626604 · Cited by 170
The fracture mechanics of human bone: influence of disease and treatment
Zimmermann, E. A., Busse, B., & Ritchie, R. O. (2015) · BoneKEy Reports · doi:10.1038/bonekey.2015.112 · Cited by 164
Kaunitz, A. M., Darney, P. D., Ross, D., Wolter, K. D., & Speroff, L. (2009) · Contraception · doi:10.1016/j.contraception.2009.02.005 · Cited by 123
Staiano, A. E., Marker, A. M., Beyl, R. A., Hsia, D. S., Katzmarzyk, P. T., & Newton, R. L. (2017) · Pediatric Obesity · doi:10.1111/ijpo.12117 · Cited by 111
Bone mineral density and body composition in congenital adrenal hyperplasia.
Cameron, F. J., Kaymakci, B., Byrt, E. A., Ebeling, P. R., Warne, G. L., & Wark, J. D. (1995) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem.80.7.7608286 · Cited by 114
Hyperprolactinemia and bone mineral density: the potential impact of antipsychotic agents
Naidoo, U., Goff, D. C., & Klibanski, A. (2003) · Psychoneuroendocrinology · doi:10.1016/s0306-4530(02)00129-4 · Cited by 113
Influence of microdamage on fracture toughness of the human femur and tibia
Norman, T. L., Yeni, Y. N., Brown, C. U., & Wang, Z. (1998) · Bone · doi:10.1016/s8756-3282(98)00103-3 · Cited by 102
Harel, Z., Johnson, C. C., Gold, M. A., Cromer, B., Peterson, E., Burkman, R., Stager, M., Brown, R., Bruner, A., Coupey, S., et al. (2010) · Contraception · doi:10.1016/j.contraception.2009.11.003 · Cited by 100
Effect of aging on the transverse toughness of human cortical bone: Evaluation by R-curves
Koester, K. J., Barth, H. D., & Ritchie, R. O. (2011) · Journal of the Mechanical Behavior of Biomedical Materials · doi:10.1016/j.jmbbm.2011.05.020 · Cited by 90
PTH signaling mediates perilacunar remodeling during exercise
Gardinier, J. D., Al-Omaishi, S., Morris, M. D., & Kohn, D. H. (2016) · Matrix Biology · doi:10.1016/j.matbio.2016.02.010 · Cited by 69
Development and Validation of a Predictive Bone Fracture Risk Model for Astronauts
Nelson, E. S., Lewandowski, B., Licata, A., & Myers, J. G. (2009) · Annals of Biomedical Engineering · doi:10.1007/s10439-009-9779-x · Cited by 50
Javaid, M. K., & Holt, R. I. (2008) · Journal of Psychopharmacology · doi:10.1177/0269881107087955 · Cited by 28
Villa, P., Cipolla, C., Amar, I., Sodero, G., Pane, L. C., Ingravalle, F., Pontecorvi, A., & Scambia, G. (2024) · Journal of Bone and Mineral Metabolism · doi:10.1007/s00774-023-01487-y · Cited by 13
Metadata
- Authors
- Hui, S. L., Slemenda, C. W., & Johnston, C. C.
- Venue
- Journal of Clinical Investigation
- Published
- 1988-06-01
- Volume
- 81
- Issue
- 6
- Pages
- 1804-1809
- ISSN
- 0021-9738 (ISSN-L)
- OpenAlex
- W2052533937
- Cited by
- 1,166
- References
- 0
- FWCI
- 29.16
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
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.
