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
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Age and bone mass as predictors of fracture in a prospective study. https://app.cochat.ai/papers/10.1172/jci113523
- The paper
- Hui, S. L., Slemenda, C. W., & Johnston, C. C. (1988). Age and bone mass as predictors of fracture in a prospective study. Journal of Clinical Investigation. https://doi.org/10.1172/jci113523
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.