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Estimation of the Prevalence of Low Bone Density in Canadian Women and Men Using a Population-Specific DXA Reference Standard: The Canadian Multicentre Osteoporosis Study (CaMos)
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In the citing paper
“the prevalence of osteoporosis (BMD T score ≤ − 2.5) in the femoral neck and lumbar spine in subjects aged 50 years and over was 6.6% in men and 15.8% in women [23]”
From Bone mineral density in elite masters athletes: the effect of body composition and long-term exercise (2021) · cites this paper as [23]
In the citing paper
“This is more than 5% less than in Canadian studies of normal aging individuals, where the prevalence of osteoporosis (BMD T score ≤ − 2.5) in the femoral neck and lumbar spine in subjects aged 50 years and over was 6.6% in men and 15.8% in women [23].”
From Bone mineral density in elite masters athletes: the effect of body composition and long-term exercise (2021) · cites this paper as [23]
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Citations
Cited by
The care gap in diagnosis and treatment of women with a fragility fracture
Bessette, L., Ste-Marie, L.-G., Jean, S., Davison, K. S., Beaulieu, M., Baranci, M., Bessant, J., & Brown, J. P. (2008) · Osteoporosis International · doi:10.1007/s00198-007-0426-9 · Cited by 186
Eleftheriou, K. I., Rawal, J. S., James, L. E., Payne, J. R., Loosemore, M., Pennell, D. J., World, M., Drenos, F., Haddad, F. S., Humphries, S. E., et al. (2013) · Bone · doi:10.1016/j.bone.2012.09.003 · Cited by 74
Kopiczko, A., Adamczyk, J. G., Gryko, K., & Popowczak, M. (2021) · European Review of Aging and Physical Activity · doi:10.1186/s11556-021-00262-0 · Cited by 24
Metadata
- Authors
- Tenenhouse, A., Joseph, L., Kreiger, N., Poliquin, S., Murray, T. M., Blondeau, L., Berger, C., Hanley, D. A., & Prior, J. C.
- Venue
- Osteoporosis International
- Published
- 2000-10-01
- Volume
- 11
- Issue
- 10
- Pages
- 897-904
- ISSN
- 0937-941X (ISSN-L)
- 1433-2965
- OpenAlex
- W1989950790
- Cited by
- 302
- References
- 0
- FWCI
- 5.03
- Type
- journal article
- Language
- en
- Open access
- closed
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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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- This page
- CoChat. (2026). Citation check: Estimation of the Prevalence of Low Bone Density in Canadian Women and Men Using a Population-Specific DXA Reference Standard: The Canadian Multicentre Osteoporosis Study (CaMos). https://app.cochat.ai/papers/10.1007/s001980070050
- The paper
- Tenenhouse, A., Joseph, L., Kreiger, N., Poliquin, S., Murray, T. M., Blondeau, L., Berger, C., Hanley, D. A., & Prior, J. C. (2000). Estimation of the Prevalence of Low Bone Density in Canadian Women and Men Using a Population-Specific DXA Reference Standard: The Canadian Multicentre Osteoporosis Study (CaMos). Osteoporosis International. https://doi.org/10.1007/s001980070050
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.