The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Inflammatory Markers and Incident Fracture Risk in Older Men and Women: The Health Aging and Body Composition Study
Open accessAbstract
The inflammation of aging hypothesis purports that aging is the accumulation of damage, which results, in part, from chronic activation of inflammation process. We tested this hypothesis in relationship to fractures in 2985 men and women enrolled in the Health ABC study. Results showed that subjects with the greatest number of inflammatory markers have the highest risk of fracture. Introduction: Cytokines play major roles in regulating bone remodeling in the bone microenvironment, but their relationship to fractures is uncertain. Materials and Methods: The study population includes 2985 well-functioning white and black women and men (42%, black; 51%, women) 70–79 yr of age enrolled in the Health Aging and Body Composition Study. Inflammatory markers were measured in frozen serum using standardized assays. We measured interleukin (IL-6), TNFα, C-reactive protein (CRP), and soluble receptors (IL-2 sR, IL-6 sR, TNF sR1and TNF sR2).Cytokine-soluble receptors were measured in a subset (n = 1430). Total hip BMD was measured by DXA. During 5.8 ± 1.6 yr of 95% complete follow-up, incident fractures were confirmed in 268 subjects. The risk of fracture was compared among subjects with the highest inflammatory markers (quartile 4) versus lower levels (quartiles 1, 2, and 3) using proportional hazard models. Results and Conclusions: Subjects who fractured were more likely to be white and female. Baseline markers of inflammation were higher among subjects who subsequently experienced an incident fracture. In multivariate models, the relative risk of fracture (95% CIs) for subjects with the highest inflammatory markers (quartile 4) compared with those with lower inflammatory markers (quartiles 1, 2, and 3) was 1.34 (0.99, 1.82) for CRP; 1.28 (0.95–1.74) for IL-6; 1.28 (0.97–1.70) for TNFα; 1.52 (1.04–2.21) for IL-2 sR; 1.33 (0.90–1.96) for IL-6 sR; 1.73 (1.18–2.55) for TNF sR1 and 1.48 (1.01–2.20) for TNF sR2. In subjects with three or more (out of seven) high inflammatory markers, the relative risk of fracture was 2.65 (1.44–4.89) in comparison with subjects with no elevated markers. (p trend = 0.001). We conclude that elevated inflammatory markers are prognostic for fractures, extending the inflammation hypothesis of aging to osteoporotic fractures.
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
Pearson, T. A., Mensah, G. A., Alexander, R. W., Anderson, J. L., Cannon, R. O., Criqui, M., Fadl, Y. Y., Fortmann, S. P., Hong, Y., Myers, G. L., et al. (2003) · Circulation · doi:10.1161/01.cir.0000052939.59093.45 · Cited by 6,401
Sex Steroids and the Construction and Conservation of the Adult Skeleton
Riggs, B. L., Khosla, S., & Melton, L. J. (2002) · Endocrine Reviews · doi:10.1210/edrv.23.3.0465 · Cited by 1,846
Associations of elevated interleukin-6 and C-reactive protein levels with mortality in the elderly
Harris, T. B., Ferrucci, L., Tracy, R. P., Corti, M. C., Wacholder, S., Ettinger, W. H., Heimovitz, H., Cohen, H. J., & Wallace, R. (1999) · The American Journal of Medicine · doi:10.1016/s0002-9343(99)00066-2 · Cited by 1,488
Self-citationBertolini, D. R., Nedwin, G. E., Bringman, T. S., Smith, D. D., & Mundy, G. R. (1986) · Nature · doi:10.1038/319516a0 · Cited by 1,434
Inflammatory markers and loss of muscle mass (sarcopenia) and strength
Schaap, L. A., Pluijm, S. M. F., Deeg, D. J. H., & Visser, M. (2006) · The American Journal of Medicine · doi:10.1016/j.amjmed.2005.10.049 · Cited by 1,047
Inflammatory Markers and Onset of Cardiovascular Events: Results From the Health ABC Study
Cesari, M., Penninx, B. W. J. H., Newman, A. B., Kritchevsky, S. B., Nicklas, B. J., Sutton-Tyrrell, K., Rubin, S. M., Ding, J., Simonsick, E. M., Harris, T. B., et al. (2003) · Circulation · doi:10.1161/01.cir.0000097109.90783.fc · Cited by 978
Self-citationVan Zee, K. J., Kohno, T., Fischer, E., Rock, C. S., Moldawer, L. L., & Lowry, S. F. (1992) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.89.11.4845 · Cited by 845
Tracy, R. P., Lemaitre, R. N., Psaty, B. M., Ives, D. G., Evans, R. W., Cushman, M., Meilahn, E. N., & Kuller, L. H. (1997) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/01.atv.17.6.1121 · Cited by 836
Soluble interleukin-6 receptor triggers osteoclast formation by interleukin 6.
Tamura, T., Udagawa, N., Takahashi, N., Miyaura, C., Tanaka, S., Yamada, Y., Koishihara, Y., Ohsugi, Y., Kumaki, K., & Taga, T. (1993) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.90.24.11924 · Cited by 825
Serum IL‐6 Level and the Development of Disability in Older Persons
Ferrucci, L., Harris, T. B., Guralnik, J. M., Tracy, R. P., Corti, M., Cohen, H. J., Penninx, B., Pahor, M., Wallace, R., & Havlik, R. J. (1999) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.1999.tb01583.x · Cited by 809
Self-citation
Cited by
HIV Infection, Inflammation, Immunosenescence, and Aging
Deeks, S. G. (2011) · Annual Review of Medicine · doi:10.1146/annurev-med-042909-093756 · Cited by 1,349
Proinflammatory Cytokines, Aging, and Age-Related Diseases
Michaud, M., Balardy, L., Moulis, G., Gaudin, C., Peyrot, C., Vellas, B., Cesari, M., & Nourhashemi, F. (2013) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2013.05.009 · Cited by 1,094
Glucocorticoid-induced osteoporosis
Briot, K., & Roux, C. (2015) · RMD Open · doi:10.1136/rmdopen-2014-000014 · Cited by 300
Oversecretion of interleukin-15 from skeletal muscle reduces adiposity
Quinn, L. S., Anderson, B. G., Strait-Bodey, L., Stroud, A. M., & Argilés, J. M. (2009) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.90506.2008 · Cited by 267
Tartibian, B., Hajizadeh Maleki, B., Kanaley, J., & Sadeghi, K. (2011) · Nutrition & Metabolism · doi:10.1186/1743-7075-8-71 · Cited by 120
Metadata
- Authors
- Cauley, J. A., Danielson, M. E., Boudreau, R. M., Forrest, K. Y. Z., Zmuda, J. M., Pahor, M., Tylavsky, F. A., Cummings, S. R., Harris, T. B., & Newman, A. B.
- Venue
- Journal of Bone and Mineral Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2007-07-01
- Volume
- 22
- Issue
- 7
- Pages
- 1088-1095
- ISSN
- 0884-0431 (ISSN-L)
- 1523-4681
- OpenAlex
- W2078552483
- Cited by
- 263
- References
- 43
- FWCI
- 11.37
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Inflammatory Markers and Incident Fracture Risk in Older Men and Women: The Health Aging and Body Composition Study. https://app.cochat.ai/papers/10.1359/jbmr.070409
- The paper
- Cauley, J. A., Danielson, M. E., Boudreau, R. M., Forrest, K. Y. Z., Zmuda, J. M., Pahor, M., Tylavsky, F. A., Cummings, S. R., Harris, T. B., & Newman, A. B. (2007). Inflammatory Markers and Incident Fracture Risk in Older Men and Women: The Health Aging and Body Composition Study. Journal of Bone and Mineral Research. https://doi.org/10.1359/jbmr.070409
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.