The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
More Broken Bones: A 4-Year Double Cohort Study of Young Girls With and Without Distal Forearm Fractures
Abstract
Predictors of childhood fractures have not been investigated previously. This study was undertaken to determine whether a previous history of forearm fracture, low bone mineral density (BMD; both areal bone mineral density [aBMD, g/cm2] and volumetric bone mineral apparent density [BMAD, g/cm3]), or anthropometry, influence fracture risk in young girls. At baseline, two cohorts of girls, aged 3–15 years, were evaluated: 100 had recently broken a forearm (group 1) and 100 were fracture free (group 2). Four years later we restudied 170 of these girls (82 from group l and 88 from group 2). We now report the relationships of previous fracture history, baseline BMD (measured by dual-energy X-ray absorptiometry), baseline weight, and height to risk of new fracture. More new fractures occurred in group l (37 fractures in 24 girls) than in group 2 (8 fractures in 7 girls; p = 0.0007). The independent predictors for occurrence of a new fracture at any skeletal site in a multivariate model adjusting for age, weight, total body aBMD, and fracture history were previous fracture (hazard ratio [HR], 3.28; 95% CI, 1.41-7.64); age (HR per l-year increase, 0.91; 95% CI, 0.84-0.99); total body aBMD (HR per l SD decrease, 1.92; 95% CI, 1.31-2.81); and body weight (HR per l SD increase, 1.49; 95% CI, 1.06-2.08). Girls with two risk factors together had substantially greater fracture risk: previous fracture and low spinal BMAD (HR, 9.4; 95% CI, 2.8-32.0), previous fracture and high body weight (HR, 10.2; 95% CI, 2.8-37.6), or previous fracture and low total body aBMD (HR, 13.0; 95% CI, 3.9-43.1). We conclude that previous forearm fracture, low total body aBMD, low spinal BMAD, and high body weight each increase risk of new fractures within 4 years in young girls. Interventions to reduce the risk of fractures, particularly forearm fractures, in girls warrant further study.
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
Cites
Bone density at various sites for prediction of hip fractures
Cummings, S. R., Browner, W., Cummings, S. R., Black, D. M., Nevitt, M. C., Browner, W., Genant, H. K., Cauley, J., Ensrud, K., Scott, J., et al. (1993) · The Lancet · doi:10.1016/0140-6736(93)92555-8 · Cited by 2,446
Pre-Existing Fractures and Bone Mass Predict Vertebral Fracture Incidence in Women
Ross, P. D., Davis, J. W., Epstein, R. S., & Wasnich, R. D. (1991) · Annals of Internal Medicine · doi:10.7326/0003-4819-114-11-919 · Cited by 1,107
Cited by
Rizzoli, R., Bianchi, M. L., Garabédian, M., McKay, H. A., & Moreno, L. A. (2010) · Bone · doi:10.1016/j.bone.2009.10.005 · Cited by 643
Obesity and fracture in men and women: an epidemiologic perspective
Nielson, C. M., Srikanth, P., & Orwoll, E. S. (2012) · Journal of Bone and Mineral Research · doi:10.1002/jbmr.1486 · Cited by 253
Risk of Fractures in Youths with Celiac Disease—A Population-Based Study
Canova, C., Pitter, G., Zanier, L., Simonato, L., Michaelsson, K., & Ludvigsson, J. F. (2018) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2018.02.070 · Cited by 16
Metadata
- Authors
- Goulding, A., Jones, I. E., Taylor, R. W., Manning, P. J., & Williams, S. M.
- Venue
- Journal of Bone and Mineral Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2000-10-01
- Volume
- 15
- Issue
- 10
- Pages
- 2011-2018
- ISSN
- 0884-0431 (ISSN-L)
- 1523-4681
- OpenAlex
- W1990109620
- Cited by
- 407
- References
- 2
- FWCI
- 10.65
- Type
- journal article
- Language
- en
- Open access
- closed
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.